WO2021121110A1 - 一种预估充电时间的方法,装置及存储介质 - Google Patents
一种预估充电时间的方法,装置及存储介质 Download PDFInfo
- Publication number
- WO2021121110A1 WO2021121110A1 PCT/CN2020/135061 CN2020135061W WO2021121110A1 WO 2021121110 A1 WO2021121110 A1 WO 2021121110A1 CN 2020135061 W CN2020135061 W CN 2020135061W WO 2021121110 A1 WO2021121110 A1 WO 2021121110A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- current
- charged
- thermal management
- charging
- management system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries
- H02J7/90—Regulation of charging or discharging current or voltage
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
- B60L58/26—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries by cooling
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/549—Current
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/56—Temperature prediction, e.g. for pre-cooling
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Definitions
- This application relates to the field of electric vehicle charging, and in particular to a method, device and storage medium for estimating the charging time of an electric vehicle.
- the size of the charging current is greatly affected by the temperature of the battery. At low temperatures, in order to ensure the safety of charging and prevent the rapid charging of lithium at low temperatures, the charging current is generally only 0.2C. In a suitable temperature range of 25 to 35°C, the sustainable charging current can reach 2C to 3C. Therefore, in order to speed up the charging speed, a thermal management system is generally required to heat or cool the battery to the most suitable range for fast charging.
- C represents the charge and discharge rate
- C charge and discharge current/rated capacity, such as a battery with a rated capacity of 50Ah, charged with a current of 150A, and its charge rate is 3C).
- C charge and discharge rate
- C charge and discharge current/rated capacity, such as a battery with a rated capacity of 50Ah, charged with a current of 150A, and its charge rate is 3C).
- C charge and discharge current/rated capacity
- the thermal management system consumes part of the power, which will also cause uncertainty in the charging time. Therefore, the estimation of the working status of the thermal management system is very important for the estimation of the charging time.
- the current estimation of the remaining time for electric vehicle charging only estimates the remaining time of the charging process based on the current battery voltage and battery temperature. It does not consider the influence of the thermal management system on the battery charging time in the future charging process, which results in a large error between the estimated remaining charging time and the actual charging time, which affects the user experience.
- the embodiments of the present application provide a method, device, and storage medium for estimating charging time.
- an embodiment of the present application provides a method for estimating charging time, including: obtaining the current temperature of the device to be charged and the current state of charge (SOC) of the device to be charged in a calculation cycle. According to the current temperature and the current state of charge, the required current of the device to be charged is obtained. According to the charging device current, the demand current of the device to be charged, and the demand current of the thermal management system, the charging current of the device to be charged is determined. The charging time is obtained according to the remaining state of charge of the device to be charged and the charging current, and the remaining state of charge is obtained according to the current state of charge.
- This method estimates the energy consumption of the thermal management system during the charging process, so as to solve the problem that the energy consumption of the thermal management system is not considered in the traditional method of estimating the charging time, so that the estimated charging time is more accurate.
- the determining the charging current of the device to be charged according to the current of the charging device, the demand current of the device to be charged, and the demand current of the thermal management system includes: When the charging device current is greater than or equal to the sum of the demand current of the device to be charged and the demand current of the thermal management system, the charging current of the device to be charged is the current demand of the device to be charged. Or when the charging device current is less than the sum of the demand current of the device to be charged and the demand current of the thermal management system, the charging current of the device to be charged is the current of the charging device and the distribution current of the thermal management system The difference, wherein the distribution current of the thermal management system is K ⁇ the charging device current, 0 ⁇ K ⁇ 1.
- the method for estimating the charging time provided by the present application considers whether the capacity of the charging pile can meet the demand current of the equipment to be charged and the demand current of the thermal management system, so that the estimated charging time is accurate and reliable.
- the obtaining the current temperature of the device to be charged includes: obtaining the current temperature of the device to be charged determined in a previous calculation period.
- the current temperature of the device to be charged in the previous calculation period is determined by the following method. After determining the charging current of the device to be charged, the heat generated by the device to be charged is obtained, the heat exchange between the device to be charged and the coolant, and the heat exchange between the device to be charged and the environment are obtained.
- the current temperature of the device to be charged is obtained according to the total amount of heat generated by the device to be charged, the amount of heat exchange between the device to be charged and the cooling liquid, and the amount of heat exchange between the device to be charged and the environment.
- said obtaining the heat generation of the device to be charged includes: obtaining the heat generation of the device to be charged according to the charging current of the device to be charged and the internal heating resistance of the device to be charged. .
- the obtaining the heat exchange between the device to be charged and the environment includes: the current temperature of the device to be charged determined according to the previous calculation period and the previous calculation period The first temperature difference value of the current ambient temperature is obtained to obtain the heat exchange between the device to be charged and the environment.
- the obtaining the heat exchange between the device to be charged and the cooling liquid includes: obtaining the temperature of the cooling liquid, and determining the current value of the device to be charged according to the previous calculation period.
- the second temperature difference between the temperature and the temperature of the cooling liquid is used to obtain the heat exchange between the device to be charged and the cooling liquid.
- the method before determining the charging current of the device to be charged according to the current of the charging device, the current demand of the device to be charged, and the current demand of the thermal management system, the method includes: Obtain the demand current of the thermal management system.
- the obtaining the required current of the thermal management system includes: determining that the thermal management system is working according to a comparison between the current temperature of the device to be charged and a temperature threshold of the device to be charged Mode request. Acquire multiple sets of threshold parameters, and each set of threshold parameters includes a coolant temperature threshold and a coolant flow threshold; each set of threshold parameters corresponds to a thermal management system working mode request. Determine a thermal management request according to the thermal management system working mode request, the thermal management request including a set of threshold parameters corresponding to the thermal management system working mode in the thermal management system working mode request among the sets of threshold parameters. According to the thermal management request, the coolant temperature threshold and the coolant flow threshold are acquired.
- the heating power or the cooling power of the thermal management system is obtained.
- the power consumption of the water pump is obtained.
- the demand current of the thermal management system is obtained.
- the method for estimating the charging time provided by the present application obtains the corresponding thermal management request through different thermal management system working modes, so as to obtain the required current of the thermal management system by obtaining the power consumed by the thermal management system.
- the obtained current demand of the thermal management system can be used to accurately estimate the charging time.
- the obtaining of the thermal management request includes: obtaining multiple sets of sample parameters, each set of sample parameters including a coolant sample temperature threshold and a coolant sample flow threshold; each set of samples The parameter corresponds to a request of the working mode of the thermal management system.
- the charging time is obtained.
- select the shortest charging time select the thermal management request according to the temperature threshold of the sample temperature of the device to be charged corresponding to the shortest charging time, the temperature threshold of the coolant sample, and the threshold of the coolant sample flow rate.
- the thermal management system working mode request includes: a cooling request, a heating request, and a temperature equalization request.
- the charging device is a charging pile.
- the device to be charged is a battery.
- an embodiment of the present application provides a device for estimating charging time, characterized in that the device includes: a data acquisition module for acquiring the current temperature of the device to be charged and the current state of charge of the device to be charged ( SOC).
- the estimation module is used to estimate the demand current of the thermal management system, the demand current of the device to be charged and the charging of the device to be charged according to the current temperature of the device to be charged, the current state of charge of the device to be charged and the current of the charging device Current.
- the calculation module is used to calculate the charging time according to the charging current of the device to be charged.
- the device for estimating the charging time estimates the energy consumption of the thermal management system during the charging process, thereby solving the problem of the traditional method of estimating the charging time that the energy consumption of the thermal management system is not considered, so that the energy consumption of the thermal management system is not considered.
- the estimated charging time is more accurate.
- the distribution current of the thermal management system Is K ⁇ the charging device current
- the charging current of the device to be charged is the difference between the charging device current and the distribution current of the thermal management system, that is, (1-K) ⁇ the charging device current, where K is a coefficient, 0 ⁇ K ⁇ 1.
- the heat generated by the device to be charged is obtained, the heat exchange between the device to be charged and the cooling liquid is obtained, and the difference between the device to be charged and the environment is obtained.
- the amount of heat exchange is to obtain the current temperature of the device to be charged based on the heat generated by the device to be charged, the amount of heat exchange between the device to be charged and the cooling liquid, and the heat exchange between the device to be charged and the environment .
- the obtaining of the demand current of the thermal management system includes: determining the current temperature of the device to be charged and a temperature threshold of the device to be charged to determine the Thermal management system working mode request; obtain multiple sets of threshold parameters, each set of threshold parameters including coolant temperature threshold and coolant flow threshold; each set of threshold parameters corresponds to a thermal management system working mode request; according to the thermal management system working mode request , Determining a thermal management request, where the thermal management request includes a set of threshold parameters corresponding to the thermal management system operating mode in the thermal management system operating mode request among the multiple sets of threshold parameters; according to the thermal management request, Obtain the coolant temperature threshold and the coolant flow threshold; obtain the heating power or cooling power of the thermal management system according to the difference between the current coolant temperature and the coolant temperature threshold; according to the current coolant flow and coolant flow The flow threshold is used to obtain the power consumption of the water pump; according to the heating power or the cooling power, and the power consumption of the water pump, the demand current
- the charging device is a charging pile.
- the device to be charged is a battery.
- an embodiment of the present application provides a computer device, including a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the processor executes the program When implementing the first aspect or any one of the possible implementation methods of the first aspect.
- an embodiment of the present application provides a computer-readable storage medium having instructions stored in the computer-readable storage medium, which when run on a computer, cause the computer to execute any one of the first aspect or the first aspect.
- the embodiments of the present application provide a method, device and storage medium for estimating charging time.
- This method can be used in electric vehicle thermal management system or offline thermal management strategy optimization model. This method not only considers that when the thermal management system changes the temperature of the battery in different modes, the continuous charging current of the battery is changed, which affects the charging time, but also considers that the thermal management system itself consumes part of the power, which affects the charging time. .
- This method takes into account the influence of the thermal management system on the battery charging time in the future charging process, thereby reducing the error between the estimated charging time and the actual charging time, and making the estimated charging time more accurate.
- FIG. 1 is a schematic diagram of an electric vehicle charging system provided by an embodiment of the present application
- FIG. 2 is a schematic structural diagram of an active liquid-cooled battery thermal management system provided by an embodiment of the present application
- FIG. 3 is a schematic diagram of the structure of a controller of an in-vehicle battery thermal management system provided by an embodiment of the present application;
- FIG. 4(a) is a flowchart of a method for estimating charging time according to Embodiment 1 of the present application;
- Fig. 4(b) is a flowchart of a method for estimating charging time provided in the second embodiment of the present application.
- FIG. 5 is a flowchart of a method for estimating the charging time of an electric vehicle according to Embodiment 3 of the present application.
- FIG. 6 is a flowchart of the steps of estimating the working mode of a thermal management system provided in the fourth embodiment of the application.
- FIG. 7 is a flow chart of steps for estimating the distribution current, battery charging current, and coolant temperature of a thermal management system according to Embodiment 5 of the present application;
- FIG. 8 is a flowchart of a method for offline estimation of the charging time of an electric vehicle according to Embodiment 6 of the present application.
- FIG. 9 is a schematic structural diagram of a device for estimating charging time provided by an embodiment of the present application.
- FIG. 10 is a schematic structural diagram of a computer device provided by an embodiment of the present application.
- the embodiments of the present application provide a method, device and storage medium for estimating charging time.
- the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application.
- the described embodiments are a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.
- FIG. 1 it is a schematic diagram of an electric vehicle charging system provided by an embodiment of this application.
- the electric vehicle charging system shown is one of the application scenarios of the method for estimating the charging time of electric vehicles.
- the electric vehicle charging system includes a charging pile, a battery, a battery management system (BMS), and a thermal management system (thermal management system, TMS).
- BMS battery management system
- TMS thermal management system
- the charging equipment designed in this application can be a charger, a charging pile, a car charger, and an electric vehicle.
- the device to be charged may include a single electrochemical battery cell, or may include multiple electrochemical battery cells, and may also include a battery pack, etc., which is not specifically limited in this application.
- the charging pile inputs the charging current to the battery and thermal management system according to the demand current command output by the battery management system and the current of the charging pile itself.
- the battery management system judges the current state of the battery according to the detected voltage, current and temperature of the battery, and requests Corresponding thermal management.
- the thermal management system receives the thermal management request output by the battery management system, and processes the battery for heating, cooling, or temperature equalization.
- the thermal management system affects the temperature of the battery by adjusting the temperature of the coolant, thereby changing the battery's sustainable charging current.
- the operation of each part of the thermal management system also consumes a portion of current. Therefore, the thermal management system plays an important role in the accuracy of the estimation of the charging time.
- FIG. 2 is a schematic structural diagram of an active liquid-cooled battery thermal management system provided by an embodiment of the application.
- the battery circuit of the electric vehicle thermal management system includes a heater (Positive Temperature Coefficient, PTC) for heating the battery in a low temperature environment, water pump, compressor, condenser, battery radiator and battery cooler .
- PTC Positive Temperature Coefficient
- the battery cooling requirements can be met directly through the battery radiator, thus reducing the energy consumption of the thermal management system;
- pass The refrigerant circuit adopts active cooling (also called compression refrigeration), turns on the compressor, passes the condenser, the throttle valve, and reduces the battery temperature through the battery cooler.
- active cooling also called compression refrigeration
- the refrigerant and the cooling liquid perform heat exchange to cool the cooling liquid, and the cooling liquid is driven by the water pump to exchange heat with the battery through the battery cold plate, so as to achieve the purpose of rapidly cooling the battery.
- the refrigerant and the cooling liquid exchange heat they are transformed into high-temperature and high-pressure gas through the compressor.
- the condenser After passing through the condenser, it is cooled down, and then the cooling liquid is turned into a low-temperature and low-pressure liquid through the throttle valve, and then enters the next cycle through the battery cooler Exchange heat with coolant.
- the PTC heats the cooling liquid flowing into the battery cold plate to exchange heat with the battery to increase the temperature of the battery. Therefore, during the charging process, in order to maintain the battery temperature in the optimal range to ensure that the sustainable charging current can reach 2C to 3C, components in the electric vehicle thermal management system, such as compressor (cooling) or PTC (heating) ), water pumps and other components operate on request, and the operation of thermal management system components consumes part of the current output by the charging pile. Therefore, the estimation of the charging time of the thermal management system state during the battery charging process is a non-negligible part, especially in the high/low temperature environment.
- This application predicts the working status of the thermal management system during the charging process by combining the battery temperature prediction model, the thermal management system model, and the BMS thermal management strategy, so as to more accurately estimate the charging time.
- Fig. 3 is a schematic diagram showing the structure of an in-vehicle battery thermal management system controller provided by an embodiment of the present application.
- the battery thermal management system controller 300 includes a processor 301 and a memory 303 coupled to the processor.
- the memory 303 stores the program code of a method for estimating the charging time provided by an embodiment of the present application; the processor 301 is used to execute Program code stored in memory.
- the battery thermal management system controller 300 can implement the method for estimating the charging time provided by the embodiments of the present application through the processor 301 and the program code in the memory 303. It is understandable that the battery thermal management system may be located in a battery pack, which is a part of the vehicle powertrain.
- the battery pack includes a battery body, a battery casing, a battery management system, a relay, a sensor and other peripheral devices.
- the charging module in the battery thermal management system controller 300 includes a processor 301 and a memory 303 to store the program code of a method for estimating the charging time provided by the embodiment of the present application.
- the vehicle controller includes a processor and a memory.
- the memory can also store program code of a method for estimating charging time provided in an embodiment of the present application, and the processor is used to execute the program code stored in the memory. .
- the above-mentioned processor may be a general-purpose central processing unit (Central Processing Unit, CPU), microprocessor, application-specific integrated circuit (ASIC), field programmable logic gate array (Field Programmable Gate Array, FPGA) Or it may be one or more integrated circuits used to control the execution of the program of the present application.
- CPU Central Processing Unit
- ASIC application-specific integrated circuit
- FPGA field programmable logic gate array
- the above-mentioned memory can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, or it can be a random access memory (RAM) or can store information and instructions
- ROM read-only memory
- RAM random access memory
- Other types of dynamic storage devices can also be Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory, CD-ROM or other CD-ROM storage , CD storage (including compressed CDs, laser disks, CDs, digital universal CDs, Blu-ray CDs, etc.), disk storage media or other magnetic storage devices, or can be used to carry or store desired program codes in the form of instructions or data structures And any other media that can be accessed by the computer, but not limited to this.
- EEPROM Electrically Erasable Programmable Read-Only Memory
- CD-ROM or other CD-ROM storage CD storage (including compressed CDs, laser disks, CDs, digital universal CDs, Blu-ray CDs, etc.), disk storage media or other magnetic
- FIG. 4(a) is a flowchart of a method for estimating charging time according to Embodiment 1 of the present application.
- the method 10 may be executed by a user equipment such as an in-vehicle battery management system controller and a vehicle controller. In one calculation cycle, the method 10 includes:
- Step S11 Obtain the current temperature of the battery and the current state of charge of the battery.
- This step is used for data acquisition, for example, before charging starts, the current temperature of the battery and the current state of charge of the battery are acquired.
- the current temperature of the battery and the current state of charge of the battery are updated in real time according to the estimated parameters.
- the current temperature of the battery may be the temperature of the battery on a specific vehicle, or it may be assigned based on historical experience values.
- Step S12 Obtain the required current of the battery according to the current temperature of the battery and the current state of charge of the battery.
- the required current of the battery can be obtained by looking up the table.
- Step S13 Determine the charging current of the battery according to the charging pile current, the demand current of the battery, and the demand current of the thermal management system.
- the current of the charging pile may be less than the required current of the battery. Therefore, it is necessary to allocate the charging of the battery according to the charging pile current Imax, the required current Ibat_req of the battery, and the required current Ithermal_req of the thermal management system.
- the current Ibat_charge and the distributed current Ithermal_charge of the thermal management system are the charging pile current Imax, the required current Ibat_req of the battery, and the required current Ithermal_req of the thermal management system.
- the distribution current that can be provided to the thermal management system is Ithermal_req.
- the distribution current allocated to the thermal management system is K ⁇ Imax, where 0 ⁇ K ⁇ 1.
- K depends on the current battery charging strategy, such as heating priority or charging priority.
- the charging current of the battery is Imax ⁇ (1-K).
- Step S14 Obtain the charging time according to the remaining state of charge of the battery and the charging current of the battery.
- the remaining state of charge of the battery is the difference between the target state of charge in the charging end condition and the current state of charge of the battery.
- the most direct factors that affect the charging time are the remaining state of charge and the charging current Ibat_charge of the battery. According to the remaining state of charge, the battery charging current Ibat and the battery rated capacity C, the future charging time can be calculated by the ampere-hour integration method.
- HMI human machine interface
- FIG. 4(b) is a flowchart of a method 100 for estimating charging time according to Embodiment 2 of the present application.
- the method 100 may be executed by a user equipment such as an in-vehicle battery management system controller and a vehicle controller.
- the method 100 includes:
- Step S101 the charging pile current, the current state of the battery, and the charging end condition.
- This step is used for data acquisition, for example, before charging starts, the charging pile current, the initial battery state, such as initial SOC, initial temperature, etc., charging end conditions, such as battery target state of charge (SOC), charging end Battery energy state (state of energy, SOE), etc.
- the current state of the battery (such as current SOC, current temperature, etc.) is updated in real time according to estimated parameters.
- the SOC is the ratio of the current state of charge of the battery to the total charge capacity.
- Step S102 Estimate the working mode of the thermal management system, and estimate the working mode of the thermal management system according to the battery temperature.
- the BMS can predict the working mode of the thermal management system during the future charging process, and send the thermal management request to the TMS according to the working mode of the thermal management system.
- the thermal management request includes working mode requests (cooling request, heating request, and temperature equalization request, etc.);
- the thermal management strategy includes battery temperature threshold, coolant temperature threshold, and coolant flow threshold.
- Step S103 Estimate the power consumption of the thermal management system, estimate the current distributed by the thermal management system and the battery, and the temperature of the coolant.
- the thermal management system model predicts the working status of each component.
- the thermal management system model calculates the power of the PTC or heat pump, and the speed demand of the water pump.
- the thermal management system calculates the power of the compressor or radiator, and the speed demand of the water pump.
- the thermal management system calculates the demand for the speed of the water pump according to the requested coolant temperature threshold and coolant flow threshold. According to the working status of each component, the required current of the thermal management system in the future charging process is obtained. Through the charging pile current, the demand current of the thermal management system and the demand current of the battery, the current or power allocated by the thermal management system and the battery is obtained. At the same time, the thermal management system model needs to estimate the change of the coolant temperature during the charging process in the future, and send it to S104 for further estimation of the battery temperature.
- Step S104 The battery temperature is estimated, and the future battery temperature is estimated based on the ambient temperature, battery charging current, and coolant temperature.
- the temperature change of the battery in the future charging process is estimated.
- the charging current of the battery in the future charging process is obtained in step S103.
- Step S105 Calculate the charging time, and calculate the charging time according to the future battery charging current.
- the required current of the thermal management system in the future charging process is obtained.
- the charging current of the battery is obtained by the current of the charging pile, the demand current of the thermal management system and the demand current of the battery.
- output the estimated charging time signal to a human machine interface (HMI) to prompt the user.
- HMI human machine interface
- the charging pile may include a charging pile, a charger, a charger, a car, a mobile terminal capable of reverse charging, and the like.
- Batteries can include cars, batteries, and other mobile terminals. Therefore, the method 100 may be executed by a processor or a user equipment such as a BMS of an electric vehicle.
- the following describes a method for estimating the charging time of an electric vehicle provided in the third embodiment of the present application.
- FIG. 5 is a flowchart of a method for estimating the charging time of an electric vehicle according to Embodiment 3 of the application. Referring to Figure 5, the method includes:
- Step S1000 Obtain the current of the charging pile, the current state of the battery, the current coolant temperature, the ambient temperature, and the charging end condition.
- the initial state of the battery such as battery temperature, battery state of charge (SOC), battery state of health, SOH), the initial cooling liquid temperature.
- the current state of the battery such as the current SOC, the current battery temperature, etc.
- the BMS looks up the table to obtain the required current of the battery.
- Step S2000 Estimate the work mode request of the thermal management system according to the ambient temperature and the battery status; determine the thermal management request according to the work mode request of the thermal management system.
- the BMS judges the working mode of the thermal management system according to the ambient temperature during the current charging process, the current temperature of the battery, and the current SOC, and determines the thermal management request based on the thermal management system working mode request and sends the thermal management request to TMS.
- the thermal management request includes a coolant temperature threshold and a coolant flow threshold.
- the coolant temperature threshold and the coolant flow threshold can be obtained through experiments, simulation optimization, BMS thermal management strategy optimization model, historical experience values, or look-up tables.
- Step S3000 According to the BMS thermal management request, estimate the thermal management system distribution current, battery charging current and coolant temperature.
- step S2000 the estimated working mode request of the thermal management system during the future charging process and the corresponding thermal management request, the distribution current of the thermal management system during the future charging process, the demand current of the thermal management system, the charging current of the battery, and the corresponding thermal management request are estimated in step S2000. Coolant temperature.
- Step S4000 Estimate the battery temperature in the future
- a battery temperature estimation model can be established, including a battery heat generation model, a heat exchange model between the battery and the environment, and a heat exchange model between the battery and the coolant.
- the battery heat generation model is used to obtain each future Qheat of the battery's own heat at all times.
- Qheat Ibat_charge2 ⁇ R
- R is the heating internal resistance of the battery cell, which is related to the battery's SOC, temperature, life and other battery parameters.
- the battery heat generation model can be obtained based on the HPPC experimental results and battery parameters (mass, density, specific heat capacity, thermal conductivity).
- the coolant temperature Tcoolant and coolant flow rate obtained in step S3005, and the current battery temperature Tbat pass the battery and
- the coolant heat exchange model calculates the heat exchange Qcool between the battery and the coolant.
- the heat Qcool exchanged between the battery and the cooling liquid is equal to the heat exchange coefficient between the battery and the cooling liquid ⁇ (the temperature of the battery-the temperature of the cooling liquid).
- the heat exchange coefficient between the battery and the coolant is calculated through the battery and coolant heat exchange model.
- the heat exchange Qamb between the battery and the environment is calculated through the battery and environment heat dissipation model.
- Qamb Battery and environment heat dissipation coefficient ⁇ (Tbat-Tamb)
- the heat dissipation coefficient between battery and environment is calculated by the battery and environment heat dissipation model according to the results of heat preservation experiments.
- the future battery temperature can be calculated.
- the sum of Qheat, Qcool and Qamb is C ⁇ m ⁇ T, C is the specific heat capacity of the battery; m is the quality of the battery; T is the difference between the current battery temperature and the future battery temperature.
- the obtained future battery temperature is used to update the battery state in the next calculation cycle, and then to estimate and calculate various parameters in the next calculation cycle.
- the current temperature of the battery can be obtained after the charging current of the device to be charged determined in the previous calculation cycle to obtain the heat generated by the device to be charged, the heat exchange between the device to be charged and the coolant, and the device to be charged and the environment According to the heat exchange amount of the device to be charged, the heat exchange amount between the device to be charged and the coolant, and the sum of the heat exchange amount between the device to be charged and the environment, the current value of the device to be charged is obtained temperature.
- Step S5000 Calculate the charging time in the future charging process.
- the most direct factors affecting the charging time are the remaining state of charge and the charging current Ibat_charge of the battery.
- the charging current Ibat and the rated battery capacity CN the future charging time can be calculated using the ampere-hour integration method.
- the charging current of the battery is synthesized from the demand current of the battery, the demand current of the thermal management system, and the charging pile current.
- the remaining state of charge is the difference between the target SOC in the end-of-charge condition and the current battery SOC.
- steps S1000 to S5000 are cyclically performed until the charging ends.
- the working state of the thermal management system in the future charging process can be estimated at every moment, and the estimated parameters (current, temperature, etc.) at every moment in the future can be obtained, and the future charging time can be calculated.
- the third embodiment of the present application combines the battery temperature prediction model, the BMS thermal management strategy, and the thermal management system model to predict the behavior of the thermal management system during the future charging process.
- the third embodiment of the present application predicts the working state of the thermal management system during the future charging process, calculates the distribution current of the thermal management system and the temperature of the coolant during the future charging process, and solves the problem that thermal management is not considered in the traditional method of estimating the charging time. The question of the impact of the system on the charging time.
- FIG. 6 is a flow chart of the steps of estimating the working mode of a thermal management system according to the fourth embodiment of the application, as shown below.
- Step S2001 The current battery SOC is compared with a preset battery threshold SOC1.
- the BMS thermal management module obtains the current battery SOC according to the current battery temperature Tbat during the charging process and the current battery demand current.
- the obtained current battery SOC is compared with the preset battery threshold SOC1.
- SOC1 can be obtained through experiments, simulation optimization, BMS thermal management strategies, historical experience values, and table lookup.
- the thermal management system can be turned off under the premise of battery safety to maintain the battery's temperature in an optimal range (such as 25-35°C), so as not to increase additional power consumption. Therefore, in step S2001, the SOC state in the future charging process is judged first, and if it is greater than SOC1, the thermal management system is turned off. If the SOC is less than SOC1, start the thermal management system.
- Step S2002 Judging the working mode of the thermal management system according to the battery temperature.
- the BMS battery management system determines whether the working mode of the thermal management system is cooling, heating or uniform temperature, and sends the judged working mode request to Thermal management system.
- the T1, T2, and T3 can be obtained through experiments, simulation optimization, BMS thermal management strategy optimization model, historical experience values, table look-up and other methods.
- Step S2003 Determine the thermal management request according to the working mode request of the thermal management system.
- each set of threshold parameters includes coolant temperature threshold and coolant flow threshold; each set of threshold parameters corresponds to a thermal management system working mode request; according to the thermal management system working mode request, determine the thermal management request, so The thermal management request includes a set of threshold parameters corresponding to the thermal management system operating mode in the thermal management system operating mode request among the multiple sets of threshold parameters.
- the BMS requests the vehicle thermal management controller in the thermal management system for the battery heating operation mode request, that is, A higher temperature coolant is passed into the battery cold plate, and the heat exchange between the coolant and the battery achieves the purpose of heating the battery.
- the BMS can also request the temperature threshold of the coolant to be Tc1 and the flow threshold to Fc1 to the vehicle thermal management controller in the thermal management system.
- the BMS When the battery is overheated, that is, the temperature of the battery is greater than the preset battery temperature Tbat>T2, the BMS requests the vehicle thermal management controller for the battery cooling operation mode, that is, the lower temperature is passed into the battery cold plate.
- the cooling liquid through the heat exchange between the cooling liquid and the battery, achieves the purpose of cooling the battery. Therefore, when Tbat>T2, the BMS also requests the vehicle thermal management controller in the thermal management system for the temperature of the coolant to be Tc2 and the flow rate to be Fc2.
- the vehicle thermal management controller requests the battery temperature to work mode request, that is, increase the coolant in the battery cold plate Or change the flow direction of the cooling liquid, so as to achieve the purpose of uniform temperature of the battery.
- the ⁇ T is the temperature difference of the battery, that is, the difference between the maximum and minimum temperatures of different parts of the battery. Therefore, when ⁇ T>T3, the BMS can also request the temperature of the coolant to be Tc3 and the flow rate to be Fc3 to the vehicle thermal management controller in the thermal management system.
- the battery is cooled down, and the ideal temperature reached by the temperature rise is between 25°C and 35°C, and the temperature difference of the battery is less than 5°C.
- the Tc1-Tc3, Fc1-Fc3 are preset thresholds, which can be obtained through experiments, simulation optimization, BMS thermal management strategy optimization model, historical experience values, table look-up and other methods.
- Step S2004 Send a thermal management request to the thermal management system module or shut down the thermal management system.
- step S2001 the SOC state in the future charging process is judged first, and if it is greater than SOC1, the thermal management system is turned off. If the SOC is less than SOC1, the thermal management system is activated.
- step S2003 the coolant temperature and flow rate requested according to different thermal management modes are sent to the thermal management system module.
- Fig. 7 is a flow chart of steps of a method for estimating the distribution current, battery charging current, and coolant temperature of the thermal management system according to the fifth embodiment of the present application.
- the specific method includes:
- Step S3001 Determine the thermal management mode.
- the TMS model simulated in the BMS predicts the thermal management system working mode request during the future charging process, that is, heating request, cooling Request and equal temperature request.
- the thermal management request obtain the coolant temperature threshold; according to the difference between the current coolant temperature and the coolant temperature threshold, obtain the heating power or cooling power of the thermal management system; according to the current coolant flow and cooling
- the liquid flow threshold is used to obtain the power consumption of the water pump; according to the heating power or the cooling power, and the power consumption of the water pump, the demand current of the thermal management system is obtained.
- the heating circuit power calculation module in the TMS model simulated in the BMS is triggered; if the battery needs cooling, the cooling circuit power calculation module in the TMS model simulated in the BMS is triggered; if the battery needs uniform temperature, Then the power calculation module of the battery temperature loop power calculation module in the TMS model simulated in the BMS is triggered.
- Step S3002 Estimate the heating capacity and power of the heating circuit, the refrigeration circuit and the equalizing circuit.
- the heating power of the water pump is proportional to the flow rate of the coolant.
- the control algorithm of PTC or heat pump can be PID control algorithm, fuzzy control algorithm and so on.
- the cooling capacity and power to be provided by the thermal management system are calculated.
- the cooling capacity can be calculated by C ⁇ m ⁇ (current coolant temperature-coolant temperature threshold Tc2).
- the cooling power of the cooling circuit components (such as compressors, water pumps, etc.) is calculated according to the COP of the compressor cooling work and the flow rate of the cooling liquid. It can be understood that the power consumption of the compressor is the cooling capacity divided by the COP of the compressor. The cooling power of the water pump is proportional to the flow rate of the coolant.
- the ambient temperature is less than or equal to the ambient temperature threshold Tamb1 preset by the analog thermal management controller, it is passive cooling, and the rotation speed of the battery radiator and water pump is calculated according to the ambient temperature to calculate the cooling components (such as battery radiator, water pump, etc.) The cooling power.
- the cooling power of the battery radiator is proportional to the rotation speed of the battery radiator.
- the cooling power of the water pump is proportional to the flow rate of the coolant.
- the battery radiator can be a cooling fan.
- the BMS sends the coolant temperature threshold Tc3, the flow threshold Fc3 request and the current coolant temperature to the vehicle thermal management controller in the thermal management system, and calculates the coolant flow rate that the thermal management system needs to provide based on the actual battery temperature difference , To calculate the speed of the water pump, and then get the power consumption of the water pump.
- the power consumption of the water pump is proportional to the flow rate of the coolant.
- Step S3003 Estimate the demand current of the battery and the demand current of the thermal management system.
- the required current of the battery can be obtained by looking up the table.
- the energy consumption calculation model of the thermal management system calculates the total power consumption of the thermal management system according to the heating power or cooling power of the thermal management system, and the flow rate of the coolant. Through the ratio of the total power consumption of the thermal management system to the current battery voltage, the demand current of the thermal management system can be obtained. Among them, the voltage of the current battery corresponds to the SOC of the current battery.
- the heating power or cooling power of the thermal management system can be obtained through step S3002.
- the working mode request of the thermal management system determines the working mode request of the thermal management system; obtain multiple sets of threshold parameters, each set of threshold parameters including a coolant temperature threshold and a coolant flow threshold; Each set of threshold parameters corresponds to a request for a thermal management system working mode;
- the thermal management request including a set of threshold parameters corresponding to the thermal management system working mode in the thermal management system working mode request among the multiple sets of threshold parameters;
- the heating power or the cooling power of the thermal management system is obtained.
- Step S3004 Distribute the charging current of the battery and the distribution current of the thermal management system, and the power of the battery and the thermal management system.
- the capacity of the charging pile may be less than the maximum charging demand of the battery. Therefore, it is necessary to allocate the battery according to the charging pile current Imax, the battery demand current Ibat_req, and the thermal management system demand current Ithermal_req.
- the distribution current that can be provided to the thermal management system is Ithermal_req.
- the power allocated to the thermal management system is V ⁇ (Ithermal_req), where V is the voltage of the battery.
- the power of the allocated battery is V ⁇ (Ibat_req).
- the current allocated to the thermal management system is K ⁇ Imax, where K is a coefficient, and 0 ⁇ K ⁇ 1.
- K depends on the current battery charging strategy, such as heating priority or charging priority.
- the charging current of the battery is Imax ⁇ (1-K).
- the power allocated to the thermal management system is V ⁇ K ⁇ Imax, and the power allocated to the battery is V ⁇ Imax ⁇ (1-K).
- the working power of the heating circuit components can be calculated based on the heating capacity and the distribution current allocated to the thermal management system.
- the calculation method is consistent with the control method in the actual thermal management controller, which can be PID control, fuzzy control, etc. In this way, it is better to predict the future charging behavior and make it more consistent with the actual charging process.
- the working power of the refrigeration circuit components can be calculated.
- the calculation method is consistent with the control method in the actual thermal management controller, which can be PID control, fuzzy control, etc. In this way, it is better to predict the future charging behavior and make it more consistent with the actual charging process.
- the operating power of the temperature equalization loop components can be calculated.
- the calculation method is consistent with the control method in the actual thermal management controller, which can be PID control, fuzzy control, etc. Better predict the future charging behavior to make it more consistent with the actual charging process.
- the obtained charging current of the battery and the distributed current of the thermal management system are output to step S3006 for calculating the remaining charging time.
- Step S3005 Estimate the temperature of the cooling liquid in the future.
- the temperature of the cooling liquid in the future is estimated.
- the temperature of the cooling liquid can be obtained.
- the cooling capacity or heating capacity of the thermal management system can be obtained.
- the heat Qcool exchanged between the battery and the cooling liquid is equal to the heat exchange coefficient between the battery and the cooling liquid ⁇ (the temperature of the battery-the temperature of the cooling liquid).
- the heat exchange coefficient between the battery and the coolant is calculated through the battery and coolant heat exchange model.
- the obtained coolant temperature is output to step S4000 for further estimation of the battery temperature in the future.
- the following describes a method for offline estimation of the charging time provided in the sixth embodiment of the present application.
- This embodiment is different from the sixth embodiment in that this embodiment is an offline estimation method of charging time, and the method of this embodiment is based on a thermal management strategy optimization model.
- an optimized offline BMS thermal management strategy can be obtained.
- the obtained offline BMS thermal management strategy includes the battery temperature threshold requested by the thermal management, the coolant temperature, and the coolant flow rate.
- the offline BMS thermal management strategy obtained in this embodiment can be used to estimate the working mode of the thermal management system in the sixth embodiment.
- the method of estimating the charging time in this embodiment can output the charging time in the future charging process, and can also output other thermal management strategies, such as the energy consumption of the thermal management system during the future charging process (the demand current of the thermal management system). , Distribution current), battery charging current and charging efficiency (battery current / (battery current + thermal management system current)), battery charging temperature curve.
- thermal management strategies such as the energy consumption of the thermal management system during the future charging process (the demand current of the thermal management system). , Distribution current), battery charging current and charging efficiency (battery current / (battery current + thermal management system current)), battery charging temperature curve.
- FIG. 8 is a flowchart of a method for offline estimation of the charging time of a charged car provided in Embodiment 6 of the application.
- the method for offline estimation of the charging time of a charger vehicle includes: obtaining multiple sets of sample parameters, each set of sample parameters includes a coolant sample temperature threshold and a coolant sample flow threshold; each set of sample parameters corresponds to a work of the thermal management system Mode request; according to the multiple sets of sample parameters, the charging time is obtained; according to the obtained charging time, the shortest charging time is selected; according to the shortest charging time corresponding to the sample temperature threshold of the device to be charged, the The cooling liquid sample temperature threshold, the cooling liquid sample flow threshold, and the thermal management request are obtained.
- the working mode request of the thermal management system includes a cooling request, a heating request and a temperature equalization request.
- the charging device is a charging pile.
- the device to be charged is a battery.
- the method includes the following steps.
- Step S7100 Set the initial state of the sample.
- This stage is slightly different from step S1000 of the sixth embodiment.
- This embodiment is used to optimize the offline BMS thermal management strategy. Therefore, it is necessary to preset the initial state of the sample in advance, including the initial sample environment temperature and the initial sample battery state (sample Temperature, sample SOC, sample SOH, sample SOE, etc.), initial sample cooling liquid temperature, sample charging termination condition (sample termination SOC), sample charging and discharging rate, and sample charging pile current.
- the BMS looks up the table to obtain the required current of the battery.
- setting the initial state of the sample may also include setting the state of the entire vehicle of the sample.
- the setting of the sample vehicle status can also include slow charging and travel.
- the corresponding optimal targets are different.
- the BMS thermal management strategy obtained according to different optimal goals will also be different. Specifically, when the sample vehicle state is fast charging, the optimal goal is the shortest charging time; when the sample vehicle state is slow charging, the optimal goal is the highest charging efficiency; when the sample vehicle state is driving, the optimal goal The goal is to maximize the SOE that the battery can release.
- the thermal management strategy controls the battery temperature to maximize the difference between the increase in battery SOE caused by the battery temperature and the power consumed by the thermal management system, so as to achieve the maximum SOE that can be released by the battery.
- Step S7200 Estimate the working mode of the thermal management system in the future.
- This stage is different from the steps in the sixth embodiment.
- This embodiment is used for the optimization of the offline BMS thermal management strategy. Therefore, it is necessary to set different thermal management strategies according to the sample parameters, and finally obtain the optimal conditions under different sample vehicle conditions.
- Thermal management strategy For example, turn on or turn off the thermal management at the most suitable time, and exert the maximum capacity of the battery under the premise of ensuring the safety of the battery. For another example, select an appropriate sample battery temperature threshold, sample coolant flow threshold, and sample coolant temperature threshold to obtain the shortest charging time.
- the sample parameters include a battery sample temperature threshold, a cooling fluid sample temperature threshold, and a cooling fluid sample flow threshold.
- the battery sample temperature threshold includes a sample battery temperature threshold for turning on a cooling circuit, a sample battery temperature threshold for turning on a heating loop, and a sample battery temperature threshold for turning on a temperature equalization loop.
- the cooling liquid sample temperature threshold includes the sample cooling liquid temperature when cooling is requested, the sample cooling liquid temperature when heating is requested, and the sample cooling liquid temperature when uniform temperature is requested.
- the cooling liquid sample flow threshold includes the sample cooling liquid flow when heating is requested, the sample cooling liquid flow when cooling is requested, and the sample cooling liquid flow when uniform temperature is requested.
- turn on the cooling circuit sample battery temperature threshold 25°C/30°C/35°C/40°C; sample coolant temperature when cooling is requested: 10°C/15°C/20°C/25°C/30°C; when cooling is requested Sample coolant flow rate: 5/10/15/20/25/30L/min; turn on the heating loop sample battery temperature threshold: -5°C/0°C/10°C/15°C/20°C/25°C; when heating is requested Sample cooling liquid temperature: 30°C/35°C/40°C/45°C/50°C/55°C/60°C; sample cooling liquid flow rate when heating is requested: 5/10/15/20/25/30L/min.
- the specific size and range of the aforementioned sample parameters can be determined according to actual needs or historical experience, and are not limited to the aforementioned specific numerical limits.
- Step S7300 Estimate the future battery charging current, thermal management distribution current and coolant temperature.
- step S3000 of the sixth embodiment is similar to step S3000 of the sixth embodiment. According to the estimated working status of the thermal management system during the future charging process, the required current and charging current of the battery during the future charging process, and the required current and distribution current of the thermal management system are obtained. , And the coolant temperature.
- Step S7400 predict the temperature of the battery in the future.
- step S4000 of the sixth embodiment is similar to step S4000 of the sixth embodiment. According to the ambient temperature, battery charging current and coolant temperature in the future charging process, the temperature of the battery in the future charging process is estimated.
- Step S7500 Judgment of the optimal target
- the battery charging current in the battery, the charging efficiency and charging time, and the battery in the future process can release energy SOE.
- the SOE can be obtained by multiplying the working condition current, the output voltage and the discharge time.
- the actual discharge current is the sum of the operating current of the battery and the current consumption of the thermal management system.
- the optimal target has not been obtained, change the sample parameters corresponding to the BMS thermal management strategy until all the sample parameters in the sample have been run.
- the optimal goals include the shortest charging time, the highest charging efficiency, and the largest SOE that can be released by the battery.
- the battery sample temperature threshold, the coolant sample temperature threshold, and the coolant sample flow threshold obtained in this embodiment can be used in the method of estimating the charging time in the above embodiments, so as to reduce the amount of experimentation and improve the estimation Efficiency and precision.
- the method for offline estimation of the charging time proposed in the sixth embodiment of the application is obtained based on the optimization model of the BMS thermal management strategy, which takes into account the working mode of the thermal management system in the future working conditions, compared with the traditional online optimization algorithm, or Offline calibration algorithm based on fixed coolant temperature and flow rate
- the method proposed in the embodiment of this application is coupled with the BMS thermal management strategy in real time to more accurately predict the actual charging process of the battery.
- the seventh embodiment of the present application also provides an apparatus 8000 for estimating the charging time.
- FIG. 9 is a schematic structural diagram of the apparatus 8000 for estimating the charging time provided by an embodiment of the present application. .
- the device includes: a data acquisition module 8100, an estimation module 8200, and a charging time calculation module 8300.
- the device can be implemented by an appropriate combination of software, hardware, and/or firmware, such as one or more software modules implemented by a computer program.
- software modules can be included in the operating system or can be used as independent
- the component is called by the operating system or application program.
- the data acquisition module 8100, the estimation module 8200, and the charging time calculation module 8300 may also be processors, whose functions are implemented by the processor executing computer programs (instructions).
- the data acquisition module 8100 is configured to execute step S101 in the embodiment of FIG. 4(b). Specifically, the data acquisition module 8100 is used to acquire the current temperature of the device to be charged and the current state of charge (SOC) of the device to be charged.
- SOC state of charge
- the estimation module 8200 is configured to execute steps S102-S104 in the embodiment in FIG. 4(b). Specifically, the estimation module 8200 is used to estimate the demand current of the thermal management system, the demand current of the device to be charged and the current of the charging device according to the current temperature of the device to be charged, the current state of charge of the device to be charged, and the current of the charging device. The charging current of the charging device.
- the calculation module 8300 is configured to execute step S105 in the embodiment in FIG. 4(b). Specifically, the calculation module 8300 is configured to calculate the charging time according to the charging current of the device to be charged.
- the data acquisition module 8100 acquires the current of the charging pile, the current temperature of the battery, the current SOC, and the ambient temperature, the current coolant temperature, and the charging end condition (target SOC or target SOE, etc.).
- the estimation module 8200 may include a working mode estimation unit, a current estimation unit, and a temperature estimation unit.
- the working mode estimation unit is used to predict the working mode of the thermal management system;
- the current estimation unit estimates the distribution current of the thermal management system and the charging pile based on the current of the charging pile, the demand current of the thermal management system and the demand current of the battery The charging current;
- the temperature estimation unit is used to estimate the temperature of the coolant and the temperature of the charging pile.
- the distributed current of the thermal management system is K ⁇ the charging device current
- the The charging current of the device to be charged is the difference between the charging device current and the distribution current of the thermal management system, that is, (1-K) ⁇ the charging device current, where K is a coefficient, 0 ⁇ K ⁇ 1.
- the heat generated by the device to be charged is obtained, the heat exchange between the device to be charged and the cooling liquid is obtained, and the heat exchange between the device to be charged and the environment is obtained, according to the heat generated by the device to be charged
- the sum of the heat exchange between the device to be charged and the cooling liquid and the heat exchange between the device to be charged and the environment obtains the current temperature of the device to be charged.
- the obtaining the demand current of the thermal management system includes: determining the working mode request of the thermal management system according to the comparison between the current temperature of the device to be charged and the temperature threshold of the device to be charged; obtaining multiple sets of threshold parameters, each set of threshold parameters including Coolant temperature threshold and coolant flow threshold; each set of threshold parameters corresponds to a thermal management system working mode request; according to the thermal management system working mode request, a thermal management request is determined, and the thermal management request includes the multiple sets of threshold parameters A set of threshold parameters corresponding to the thermal management system operating mode in the thermal management system operating mode request in the thermal management system operating mode request;
- the demand current of the thermal management system is obtained.
- the current estimation unit also includes cooling, heating, and equalizing circuit power estimation units, which are used to estimate the energy consumption of the thermal management system of each circuit.
- the TMS model simulated in the BMS receives the BMS request and judges the working mode of the thermal management system in the future charging process, namely heating , Refrigeration and uniform temperature.
- the charging pile needs heating, it triggers the heating circuit power calculation unit in the TMS model simulated in the BMS; if the charging pile needs cooling, it triggers the cooling circuit power calculation unit in the TMS model simulated in the BMS; if the charging pile requires uniform temperature, Then trigger the power calculation unit of the charging pile temperature equalization loop in the TMS model simulated in the BMS.
- the charging time calculation module 8300 calculates the time required from the current moment to the end of the charging according to the charging current of the battery obtained from the estimation module.
- the charging device is a charging pile; the device to be charged is a battery.
- the device for estimating the charging time may also include a communication module, which displays the charging time information through the HMI through a certain block of communication.
- each functional module or unit in each embodiment of the present application can be integrated into one processing module or unit, or each module or unit can exist alone physically, or two or more modules or units can be integrated into one. Module or unit.
- FIG. 10 is a schematic structural diagram of a computer device provided by an embodiment of the present application, and the apparatus architecture shown in FIG. 10 can be implemented by the computer device.
- the computer device includes at least one processor 901, a communication bus 902, a memory 903, and at least one communication interface 904.
- the processor 901 may be a general-purpose central processing unit (Central Processing Unit, CPU), a microprocessor, an application-specific integrated circuit (ASIC), or may be one or more programs used to control the program of this application Implementation of integrated circuits.
- CPU Central Processing Unit
- ASIC application-specific integrated circuit
- the communication bus 902 may include a path for transferring information between the above-mentioned components.
- the memory 903 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, or it can be a random access memory (RAM) or can store information and instructions
- Other types of dynamic storage devices can also be Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory, CD-ROM or other CD-ROM storage , CD storage (including compressed CDs, laser disks, CDs, digital universal CDs, Blu-ray CDs, etc.), disk storage media or other magnetic storage devices, or can be used to carry or store desired program codes in the form of instructions or data structures And any other media that can be accessed by the computer, but not limited to this.
- the memory 903 may exist independently, and is connected to the processor 901 through the communication bus 902.
- the memory 903 may also be integrated with the processor 901.
- the communication interface 904 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, Radio Access Network (RAN), and Wireless Local Area Networks (WLAN).
- a transceiver to communicate with other devices or communication networks, such as Ethernet, Radio Access Network (RAN), and Wireless Local Area Networks (WLAN).
- RAN Radio Access Network
- WLAN Wireless Local Area Networks
- the processor 901 may include one or more CPUs, such as CPU0 and CPU1 as shown in FIG. 9.
- the computer device may include multiple processors, such as the processor 901 and the processor 905 as shown in FIG. 9.
- processors can be a single-core processor (single-CPU) or a multi-core processor (multi-CPU).
- the processor here may refer to one or more devices, circuits, and/or processing cores for processing data (such as computer program instructions).
- the computer device may further include an output device 906 and an input device 907.
- the output device 906 communicates with the processor 901 and can display information in a variety of ways.
- the output device 906 may be a liquid crystal display (LCD), a light emitting diode (LED) display device, a cathode ray tube (CRT) display device, or a projector, etc.
- the input device 907 communicates with the processor 901, and can receive user input in a variety of ways.
- the input device 907 may be a mouse, a keyboard, a touch screen device, a sensor device, or the like.
- the above-mentioned computer equipment may be a general-purpose computer equipment or a special-purpose computer equipment.
- the computer device can be a desktop computer, a portable computer, a network server, a PDA (Personal Digital Assistant, PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device.
- PDA Personal Digital Assistant
- the computer device can be set In electric vehicles, on charging piles.
- the embodiments of this application do not limit the type of computer equipment.
- the memory 903 is used to store the program code 910 for executing the solution of the present application, and the processor 901 is used to execute the program code 910 stored in the memory 903.
- the computer device can implement the method for estimating the charging time provided in the above embodiments of FIGS. 3-8 through the processor 901 and the program code 910 in the memory 903.
- the computer program product includes one or more computer instructions.
- the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
- the computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, computer, server, or data center.
- the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrated with one or more available media.
- the usable medium may be a magnetic medium (for example: floppy disk, hard disk, tape), optical medium (for example: Digital Versatile Disc (DVD)) or semiconductor medium (for example: Solid State Disk (SSD)) Wait.
- the method, device, and storage medium for estimating the charging time can also be used for the method, device, and storage medium for estimating the discharge time.
- the output current of the charging pile is the sum of the required current of the battery and the required current of the thermal management system.
- the actual discharge current of the battery is the sum of the discharge current and the current consumption of the thermal management system.
- the disclosed device and method may be implemented in other ways.
- the device embodiments described above are only illustrative.
- the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented.
- the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
一种预估充电时间的方法,装置及存储介质。该方法包括在一个计算周期中,获取待充电设备的当前温度,以及待充电设备的当前荷电状态(SOC),根据所述当前温度和所述当前荷电状态,得到所述待充电设备的需求电流;根据充电设备电流,所述待充电设备的需求电流,热管理系统的需求电流,确定所述待充电设备的充电电流;根据所述待充电设备的剩余荷电状态和所述充电电流,得到充电时间,所述剩余荷电状态是根据所述当前荷电状态得到的。该方法可用于电动汽车热管理系统或离线热管理策略优化模型中。该方法对充电过程中热管理系统的能耗进行预估,从而解决传统预估充电时间的方法中未考虑热管理系统能耗的问题,以使预估的充电时间更加精准。
Description
本申请要求于2019年12月20日提交国家知识产权局、申请号为201911330319.X、申请名称为“一种预估充电时间的方法,装置及存储介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
本申请涉及电动汽车充电领域,尤其涉及预估电动汽车充电时间的方法,装置及存储介质。
随着现代社会能源短缺和环境污染问题的加剧,电动汽车作为新能源汽车受到了各界的广泛关注。电动汽车是以车载动力电池为能源来驱动车辆行驶。随着汽车性能的提高,生活节奏的加快,用户对于充电时间越发敏感。一般用户在插上充电枪后,设置充电目标值,然后通过仪表盘读取剩余充电时间,用户依据该充电时间安排相应的活动。因此准确的充电时间对于用户体验来说具有重要的意义。尤其在快充场景下,用户对充电的需求是以最快的速度达到设定的充电结束条件。
而充电电流的大小受电池的温度影响非常大,在低温下,为了保证充电的安全性,防止低温快充析锂,充电电流一般只有0.2C。而在合适的温度区间25~35℃,可持续充电电流可以达到2C~3C,因此为了加快充电速度,一般需要热管理系统对电池加热或降温至最合适的区间进行快充。
电动汽车快充时充电速度一般在2C~3C(C表示充放电倍率,C=充放电电流/额定容量,如额定容量为50Ah的电池,用150A的电流充电,其充电倍率为3C),对于大容量电池来说,发热量非常大,需要采用主动式热管理的方式对电池的温度进行管理。一方面,热管理系统影响电池的温度,从而改变电池的可持续充电电流大小,进而影响充电时间;另一方面,热管理系统消耗一部分电量,也会导致充电时间的不确定。因此,热管理系统工作状态的预估对于充电时间的预估十分重要。但是,目前对于电动车充电剩余时间的预估,只是基于当前的电池电压和电池温度来预估充电过程的剩余时间。并没有考虑热管理系统对将来充电过程中电池充电时间的影响,从而造成预估的剩余充电时间与实际充电时间的误差大,影响用户体验。
发明内容
本申请实施例提供一种预估充电时间的方法,装置以及存储介质。
以下从多个方面介绍本申请,容易理解的是,该以下多个方面的实现方式可互相参考。
第一方面,本申请实施例提供一种预估充电时间的方法,包括:在一个计算周期 中,获取待充电设备的当前温度,以及待充电设备的当前荷电状态(SOC)。根据所述当前温度和所述当前荷电状态,得到所述待充电设备的需求电流。根据充电设备电流,所述待充电设备的需求电流,热管理系统的需求电流,确定所述待充电设备的充电电流。根据所述待充电设备的剩余荷电状态和所述充电电流,得到充电时间,所述剩余荷电状态是根据所述当前荷电状态得到的。该方法对充电过程中热管理系统的能耗进行预估,从而解决传统预估充电时间的方法中未考虑热管理系统能耗的问题,以使预估的充电时间更加精准。
根据第一方面,在一种可能的实现方式中,所述根据充电设备电流,所述待充电设备的需求电流,热管理系统的需求电流,确定所述待充电设备的充电电流,包括:当所述充电设备电流大于或等于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述待充电设备的充电电流即为所述待充电设备的需求电流。或者当所述充电设备电流小于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述待充电设备的充电电流为充电设备电流与所述热管理系统的分配电流差值,其中,所述热管理系统的分配电流为K×所述充电设备电流,0<K≤1。本申请提供的一种预估充电时间的方法,考虑了充电桩的能力是否能满足待充电设备设备的需求电流和热管理系统的需求电流,使预估的充电时间准确且可靠。
根据第一方面,在一种可能的实现方式中,所述获取待充电设备的当前温度包括:获取在前一计算周期确定的所述待充电设备的当前温度。其中,所述待充电设备的当前温度在前一计算周期通过以下方法确定。确定待充电设备的充电电流之后,获取待充电设备自身发热量,获取待充电设备与冷却液的换热量,获取待充电设备与环境的换热量。根据所述待充电设备自身发热量,所述待充电设备与冷却液的换热量,及所述待充电设备与环境的换热量之和获取所述待充电设备的当前温度。
根据第一方面,在一种可能的实现方式中,所述获取待充电设备自身发热量包括:根据所述待充电设备的充电电流,待充电设备的发热内阻,获取待充电设备自身发热量。
根据第一方面,在一种可能的实现方式中,所述获取待充电设备与环境的换热量包括:根据所述前一计算周期确定的所述待充电设备的当前温度与前一计算周期的当前环境温度的第一温差值,获取所述待充电设备与环境的换热量。
根据第一方面,在一种可能的实现方式中,所述获取待充电设备与冷却液的换热量包括:获取冷却液温度,根据所述前一计算周期确定的所述待充电设备的当前温度与所述冷却液温度的第二温差值,获取所述待充电设备与冷却液的换热量。
根据第一方面,在一种可能的实现方式中,根据充电设备电流,所述根据待充电设备的需求电流,热管理系统的需求电流,确定待充电设备的充电电流之前,所述方法包括:获取所述热管理系统的需求电流。
根据第一方面,在一种可能的实现方式中,所述获取所述热管理系统的需求电流包括:根据所述待充电设备当前温度与待充电设备温度阈值比较,确定所述热管理系统工作模式请求。获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求。根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括所述多组阈值参数中的与所述热管 理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数。根据所述热管理请求,获取所述冷却液温度阈值和冷却液的流量阈值。根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率。根据当前冷却液流量和冷却液流量阈值,获得水泵的消耗功率。根据所述制热功率或者所述制冷功率,以及所述水泵的消耗功率,获得所述热管理系统的需求电流。本申请提供的一种预估充电时间的方法,通过不同的热管理系统工作模式,获得对应的热管理请求,从而通过得到热管理系统消耗的功率,获得热管理系统的需求电流。所获得的热管理系统的需求电流可用于精确的预估充电时间。
根据第一方面,在一种可能的实现方式中,所述获取所述热管理请求包括:获取多组样本参数,每组样本参数包括冷却液样本温度阈值,冷却液样本流量阈值;每组样本参数对应于一种所述热管理系统工作模式请求。根据所述多组样本参数,获得的充电时间。根据所获得的充电时间,选取最短的充电时间。根据所述最短的充电时间所对应的所述待充电设备样本温度阈值,所述冷却液样本温度阈值,所述冷却液样本流量阈值,获得所述热管理请求。
根据第一方面,在一种可能的实现方式中,所述热管理系统工作模式请求包括:制冷请求,制热请求,和均温请求。
根据第一方面,在一种可能的实现方式中,所述充电设备为充电桩。
根据第一方面,在一种可能的实现方式中,所述待充电设备为电池。
第二方面,本申请实施例提供一种预估充电时间的装置,其特征在于,所述装置包括:数据获取模块,用于获取待充电设备当前温度,以及待充电设备的当前荷电状态(SOC)。预估模块,用于根据所述待充电设备当前温度,所述待充电设备当前荷电状态以及充电设备电流,预估热管理系统的需求电流,待充电设备的需求电流及待充电设备的充电电流。计算模块,用于根据待充电设备的充电电流,计算充电时间。本申请提供的一种预估充电时间的装置,对充电过程中热管理系统的能耗进行预估,从而解决传统预估充电时间的方法中未考虑热管理系统能耗的问题,以使预估的充电时间更加精准。
根据第二方面,在一种可能的实现方式中,当所述充电设备电流小于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述热管理系统的分配电流为K×所述充电设备电流,所述待充电设备的充电电流为充电设备电流与热管理系统的分配电流差值,即(1-K)×所述充电设备电流,其中K为系数,0<K≤1。
根据第二方面,在一种可能的实现方式中,确定待充电设备的充电电流之后,获取待充电设备自身发热量,获取待充电设备与冷却液的换热量,获取待充电设备与环境的换热量,根据所述待充电设备自身发热量,所述待充电设备与冷却液的换热量,及所述待充电设备与环境的换热量之和获取所述待充电设备的当前温度。
根据第二方面,在一种可能的实现方式中,其特征在于,所述获取所述热管理系统的需求电流包括:根据所述待充电设备当前温度与待充电设备温度阈值比较,确定所述热管理系统工作模式请求;获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求;根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括所述多组阈值参数中 的与所述热管理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数;根据所述热管理请求,获取所述冷却液温度阈值和冷却液的流量阈值;根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率;根据当前冷却液流量和冷却液流量阈值,获得水泵的消耗功率;根据所述制热功率或者所述制冷功率,以及所述水泵的消耗功率,获得所述热管理系统的需求电流。
根据第二方面,在一种可能的实现方式中,所述充电设备为充电桩。
根据第二方面,在一种可能的实现方式中,所述待充电设备为电池。
第三方面,本申请实施例提供一种计算机设备,包括处理器、存储器及存储在所述存储器上并可被所述处理器执行的计算机程序,其特征在于,所述处理器执行所述程序时实现第一方面或第一方面任一一种可能的实现方式中的方法。
第四方面,本申请实施例提供一种计算机可读存储介质,所述计算机可读存储介质中存储有指令,当其在计算机上运行时,使得计算机执行第一方面或第一方面任一一种可能的实现方式中的方法。
本申请实施例提供一种预估充电时间的方法,装置及存储介质。该方法可用于电动汽车热管理系统或离线热管理策略优化模型中。该方法不但考虑了热管理系统在不同的模式下改变电池的温度时,改变电池的可持续充电电流大小,进而影响充电时间,而且考虑了热管理系统自身也会消耗一部分电量,进而影响充电时间。该方法考虑了热管理系统对将来充电过程中电池充电时间的影响,从而减小了预估的充电时间与实际充电时间的误差,使预估的充电时间更加准确。
下面将对本申请附图作简单地介绍。显而易见地,下面描述的附图仅仅是本申请的一些实施例。
图1是本申请实施例所提供的一种电动汽车充电系统示意图;
图2是本申请实施例所提供的一种主动式液冷的电池热管理系统的结构示意图;
图3是本申请实施例所提供的一种车内电池热管理系统控制器构成示意图;
图4(a)是本申请实施例一提供的一种预估充电时间的方法流程图;
图4(b)是本申请实施例二提供的一种预估充电时间的方法流程图;
图5是本申请实施例三提供的一种预估电动汽车的充电时间的方法流程图;
图6为本申请实施例四提供的一种热管理系统工作模式预估步骤流程图;
图7是本申请实施例五提供的一种预估热管理系统的分配电流,电池充电电流以及冷却液温度的步骤流程图;
图8是本申请实施例六提供的一种离线预估电动汽车的充电时间的方法流程图;
图9是本申请实施例提供的一种预估充电时间的装置的结构示意图;
图10是本申请实施例提供的一种计算机设备的结构示意图。
本申请实施例提供一种预估充电时间的方法,装置及存储介质。下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所 描述的实施例是本申请的一部分实施例,而不是全部实施例。基于本申请中的实施例,本领域普通技术人员在没有做出创造性劳动的前提下所获得的所有其它实施例,都应属于本申请保护的范围。
为了使本领域技术人员更好地理解本申请实施例提供的技术方案,下面先介绍本申请实施例提供的预估充电时间的方法,装置及存储介质的应用场景。
如图1所示,为本申请实施例所提供的一种电动汽车充电系统示意图。所示电动汽车充电系统为电动汽车充电时间预估的方法的应用场景之一,电动汽车充电系统包括充电桩、电池、电池管理系统(battery management system,BMS)和热管理系统(thermal management system,TMS)。需要指出的是,本申请设计到的充电设备可以为充电机,充电桩,车载充电器,电动汽车。待充电设备既可以包括单个电化学电池单元,也可以包括多个电化学电池单元,还可以包括电池组等等,本申请对此不作具体限定。
充电桩根据电池管理系统输出的需求电流指令结合充电桩自身的电流给电池和热管理系统输入充电电流,电池管理系统根据检测到的电池的电压、电流和温度,判断电池当前的状态,并请求相应的热管理。热管理系统接收电池管理系统输出的热管理请求,对电池进行加热、制冷或者均温的处理。热管理系统一方面通过调节冷却液的温度来影响电池的温度,从而改变电池的可持续充电电流大小,另一方面,热管理系统的各个部分的运行也要消耗一部分电流。因此热管理系统对充电时间的预估的准确性起到了不可忽略的作用。
图2为本申请实施例所提供的一种主动式液冷的电池热管理系统的结构示意图。
如图2所示,电动汽车热管理系统的电池回路中包括用于低温环境下给电池加热的加热器(Positive Temperature Coefficient,PTC),水泵,压缩机,冷凝器,电池散热器和电池冷却器。对于电池的冷却,包括两种方式:(1)在环境温度较低的情况下,例如10-15℃,通过电池系统环路,采用被动式冷却将电池系统的温度降至可以运行的范围内,即可直接通过电池散热器散热来满足电池的冷却要求,因此降低热管理系统的能耗;(2)在环境温度较高或者电池发热量较大的情况下,比如快充工况时,通过制冷剂环路,采取主动式冷却(也称压缩式制冷),开启压缩机,通过冷凝器,节流阀,并通过电池冷却器降低电池的温度。具体地,制冷剂和冷却液进行热交换使得冷却液降温,冷却液在水泵的驱动下经过电池冷板与电池进行热交换,达到为电池迅速降温的目的。制冷剂与冷却液进行热交换后,经过压缩机变为高温高压的气体,通过冷凝器后使其降温,再通过节流阀使冷却液成为低温低压的液体后,通过电池冷却器进入下一循环与冷却液进行热交换。当电池的温度过低时,PTC通过给流入电池冷板的冷却液加热,与电池进行热交换,达到为电池增温的作用。因此在充电过程中,为了使电池的温度维持在最佳的区间内,以保证可持续充电电流可以达到2C~3C,电动汽车热管理系统中的部件,如压缩机(冷却)或者PTC(加热)、水泵等部件根据请求而运行,热管理系统部件运行会消耗一部分充电桩输出的电流。因此,热管理系统状态在电池充电过程中对于充电时间的预估尤其在高/低温环境下为不可忽视的部分。
本申请通过联合电池温度预估模型、热管理系统模型和BMS热管理策略,对充电过程中热管理系统的工作状态进行预测,从而更加准确的预估充电时间。
图3是本申请实施例所提供的一种车内电池热管理系统控制器构成示意图。电池热管理系统控制器300包括处理器301和结合到处理器的存储器303,该存储器303以存储本申请实施例提供的一种预估充电时间的方法的程序代码;该处理器301用以执行存储于存储器中的程序代码。电池热管理系统控制器300可以通过处理器301以及存储器303中的程序代码来实现本申请各实施例所提供的预估充电时间的方法。可以理解的,所述电池热管理系统可以位于电池包中,电池包为车辆动力总成的一部分。所述电池包包括电池本体,电池壳体,电池管理系统,继电器,传感器等外围器件。可选的,电池热管理系统控制器300中的充电模块包括处理器301和存储器303,以存储本申请实施例提供的一种预估充电时间的方法的程序代码。在另一个实施例中,车辆控制器包括处理器和存储器,该存储器也可以存储本申请实施例提供的一种预估充电时间的方法的程序代码,处理器用以执行存储于存储器中的程序代码。
上述处理器可以是一个通用中央处理器(Central Processing Unit,CPU)、微处理器、特定应用集成电路(application-specific integrated circuit,ASIC),现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)或者可以是一个或多个用于控制本申请方案程序执行的集成电路。
上述存储器可以是只读存储器(read-only memory,ROM)或可存储静态信息和指令的其它类型的静态存储设备,也可以是随机存取存储器(random access memory,RAM)或者可存储信息和指令的其它类型的动态存储设备,也可以是电可擦可编程只读存储器(Electrically Erasable Programmable Read-Only Memory,EEPROM)、只读光盘(Compact Disc Read-Only Memory,CD-ROM)或其它光盘存储、光碟存储(包括压缩光碟、激光碟、光碟、数字通用光碟、蓝光光碟等)、磁盘存储介质或者其它磁存储设备,或者是能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其它介质,但不限于此。
接下来对本申请实施例一提供的预估充电时间的方法予以说明。
图4(a)是本申请实施例一提供的一种预估充电时间的方法的流程图,所述方法10可以由车内电池管理系统控制器,车辆控制器等用户设备执行。在一个计算周期中,所述方法10包括:
步骤S11:获取电池的当前温度,电池的当前荷电状态。
本步骤用于数据获取,例如,充电开始前,获取电池的当前温度,以及电池的当前荷电状态。充电过程中,根据预估的参数,实时地更新电池的当前温度,以及电池的当前荷电状态。可选的,电池的当前温度可以是具体的车上的电池的温度,或者是根据历史经验值赋予的。
步骤S12:根据所述电池的当前温度和所述电池的当前荷电状态,得到电池的需求电流。
根据步骤S11获取的电池的当前温度,电池的当前荷电状态,可以通过查表得到 电池的需求电流。
步骤S13:根据所述充电桩电流,所述电池的需求电流,热管理系统的需求电流,确定电池的充电电流。
需要说明的是,在充电过程中,可能会出现充电桩的电流小于电池的需求电流,因此,需要根据充电桩电流Imax,电池的需求电流Ibat_req,热管理系统的需求电流Ithermal_req,分配电池的充电电流Ibat_charge和热管理系统的分配电流Ithermal_charge。
当Imax>=Ibat_req+Ithermal_req,可提供给电池的充电电流即为电池的需求电流Ibat_charge=Ibat_req。可提供给热管理系统的分配电流即为Ithermal_req。
当Imax<Ibat_req+Ithermal_req,分配给热管理系统的分配电流为K×Imax,其中0<K≤1。K的值取决于当前电池的充电策略,比如是以加热优先还是充电优先。电池的充电电流为Imax×(1-K)。
步骤S14:根据电池的剩余荷电状态和电池的充电电流,得到充电时间。
需要说明的是,电池的剩余荷电状态为充电结束条件中的目标荷电状态与当前电池荷电状态之差。影响充电时间的最直接的因素是剩余荷电状态和电池的充电电流Ibat_charge。根据剩余荷电状态,电池的充电电流Ibat及电池额定容量C,通过安时积分的方法即可计算出将来充电时间。
可选的,将预估所得到的充电时间信号输出给人机界面(human machine interface,,HMI),提示用户。
接下来对本申请实施例二提供的预估充电时间的方法予以说明。
图4(b)是本申请实施例二提供的一种预估充电时间的方法100的流程图,所述方法100可以由车内电池管理系统控制器,车辆控制器等用户设备执行。所述方法100包括:
步骤S101:充电桩电流,电池当前状态,充电结束条件。
本步骤用于数据获取,例如,充电开始前,获取充电桩电流、电池初始状态,如初始SOC、初始温度等、充电结束条件,如电池目标荷电状态(state of charge,SOC)、充电结束电池能量状态(state of energy,SOE)等。充电过程中,根据预估参数,实时地更新电池当前状态(如当前SOC,当前温度等)。具体的,SOC为电池当前荷电状态与总的荷电容量的比值。
步骤S102:热管理系统工作模式预估,根据电池温度预估热管理系统工作模式。
需要说明的是,根据当前充电过程中的环境温度、电池当前温度和当前SOC,BMS可以预估将来充电过程中热管理系统工作模式,并根据热管理系统工作模式发送给TMS的热管理请求。其中,热管理请求包括工作模式请求(制冷请求、制热请求、以及均温请求等);热管理策略包括电池温度阈值,冷却液温度阈值,以及冷却液流量阈值。
步骤S103:热管理系统耗电量预估,热管理系统及电池所分配电流及冷却液温度预估。
需要说明的是,根据将来充电过程中BMS发送的热管理请求,热管理系统模型预 估出各部件的工作状态。
如在制热请求下,根据请求的冷却液温度阈值和冷却液流量阈值,热管理系统模型计算出PTC或热泵的功率,以及水泵的转速需求。
在制冷请求下,根据请求的冷却液温度阈值和冷却液流量阈值,热管理系统计算出压缩机或散热器的功率,以及水泵的转速需求。
在均温请求下,根据请求的冷却液温度阈值和冷却液流量阈值,热管理系统计算出水泵的转速需求。根据各部件的工作状态,得到将来充电过程中热管理系统的需求电流。通过充电桩电流,热管理系统的需求电流和电池的需求电流,得到热管理系统和电池所分配的电流或功率。同时热管理系统模型需预估出将来充电过程中的冷却液温度变化,并发送给S104,进一步进行电池温度的预估。
步骤S104:电池温度预估,根据环境温度,电池充电电流,冷却液温度,预估将来电池温度。
需要说明的是,根据将来充电过程中的环境温度、电池充电电流和冷却液温度,预估在将来充电过程中电池的温度变化。其中将来充电过程中的电池的充电电流由步骤S103得到。
步骤S105:充电时间计算,根据将来电池充电电流计算充电时间。
需要说明的是,根据S103中各部件的工作状态,得到将来充电过程中热管理系统的需求电流。通过充电桩电流,热管理系统的需求电流和电池的需求电流,得到电池的充电电流。结合电池的充电电流和电池将来的充电状态,即电池剩余SOC,计算充电时间。可选的,将预估所得到的充电时间信号输出给人机界面(human machine interface,HMI),提示用户。
可以理解的,所述充电桩可以包括充电桩,充电机,充电器,车及可反向充电的移动终端等。电池可以包括车,电池,及其他移动终端等。因此,所述方法100可以由处理器或者电动汽车的BMS等用户设备执行。
下面对本申请实施例三提供的一种电动汽车预估充电时间的方法予以说明。
图5为本申请实施例三提供的一种预估电动汽车的充电时间的方法流程图。参见图5,该方法包括:
步骤S1000:获取充电桩的电流,电池的当前状态,当前冷却液温度,环境温度,充电结束条件。
需要说明的是,为了准确的预估充电时间,在充电开始前,需要获取电池的初始状态,如电池温度、电池的荷电状态(State of charge,SOC)、电池健康状态(state of health,SOH),初始冷却液温度。充电过程中,根据预估参数,实时的更新电池当前状态,如当前SOC,当前电池温度等。BMS根据电池当前的温度和当前的SOC,查表获取电池的需求电流。
另外,还需要获取充电过程环境温度曲线,以及电池的充电结束条件,如目标SOC。
步骤S2000:根据环境温度和电池状态,预估热管理系统工作模式请求;根据热管理系统工作模式请求,确定热管理请求。
BMS根据当前充电过程中的环境温度、电池的当前温度和当前SOC,判断热管理系 统的工作模式,并根据热管理系统工作模式请求,确定热管理请求并发送热管理请求给TMS。其中,热管理请求包括冷却液温度阈值,以及冷却液流量阈值。其中,所述冷却液温度阈值,以及所述冷却液流量阈值可以通过实验,仿真优化,BMS热管理策略优化模型,历史经验值,或查表等方式获得。
步骤S3000:根据BMS热管理请求,预估热管理系统分配电流,电池充电电流及冷却液温度。
根据步骤S2000对预估的将来充电过程中热管理系统工作模式请求及相应的热管理请求,预估将来充电过程中的热管理系统的分配电流,热管理系统的需求电流,电池的充电电流以及冷却液温度。
步骤S4000:预估将来电池温度
在充电过程中,电池的充电电流、冷却液的温度和环境温度会影响电池温度的变化。为了对将来充电过程中的电池温度进行更加准确的预估,可以建立电池温度预估模型,包括电池产热模型、电池与环境的换热模型和电池与冷却液的换热模型。
具体的,根据下文实施例五提供的一种预估热管理系统的分配电流,电池充电电流以及冷却液温度方法中的步骤S3004获得的电池的充电电流Ibat_charge,通过电池产热模型得到将来每一时刻电池的自身发热量Qheat。具体的,Qheat=Ibat_charge2×R,R为电芯的发热内阻,其与电池的SOC,温度,寿命及其他电池参数相关。其中,电池产热模型可以根据HPPC实验结果,电池参数(质量,密度,比热容,导热系数)而得到的。
根据下文实施例五提供的一种预估热管理系统的分配电流,电池充电电流以及冷却液温度方法中的步骤S3005获得的冷却液温度Tcoolant和冷却液流速,和当前电池温度Tbat,通过电池与冷却液换热模型计算电池与冷却液的换热量Qcool。电池与冷却液交换的热量Qcool等于电池与冷却液换热系数×(电池的温度-冷却液的温度)。根据充电桩电流,环境温度,冷却液温度和流量,通过电池与冷却液换热模型,计算得到电池与冷却液换热系数。
根据当前环境温度,当前电池温度Tbat,通过电池与环境散热模型,计算电池与环境的换热量Qamb。Qamb=电池与环境散热系数×(Tbat-Tamb),电池与环境散热系数根据保温实验结果通过电池与环境散热模型计算得到。
根据上述得到的Qheat,Qcool和Qamb可以计算出将来电池温度。Qheat,Qcool和Qamb之和为C×m×T,C为电池的比热容;m为电池的质量;T为当前电池温度与将来电池温度的差值。将所获得的将来电池温度,用以更新下一计算周期中电池状态,进而预估和计算下一计算周期中各个参数。同样的,电池的当前温度可以通过前一计算周期中确定的待充电设备的充电电流之后,获取待充电设备自身发热量,获取待充电设备与冷却液的换热量,获取待充电设备与环境的换热量,根据所述待充电设备自身发热量,所述待充电设备与冷却液的换热量,及所述待充电设备与环境的换热量之和获取所述待充电设备的当前温度。
步骤S5000:计算将来充电过程中充电时间。
需要说明的是,影响充电时间的最直接的因素是剩余荷电状态和电池的充电电流Ibat_charge。根据剩余荷电状态,充电电流Ibat及电池额定容量CN,用安时积分的 方法即可计算出将来充电时间。其中,根据步骤S3003,电池的充电电流由电池的需求电流和热管理系统的需求电流,以及充电桩电流综合得到。其中,剩余荷电状态为充电结束条件中的目标SOC与当前电池SOC之差。
在充电时间预估的过程中,步骤S1000~步骤S5000循环进行,直到充电结束。每一时刻都可以对将来充电过程中的热管理系统工作状态进行预估,获得将来每一时刻预估参数(电流,温度等),进而计算得到将来充电时间。可选的,将每一时刻获得的预估参数与每一时刻真实的参数(电流,温度等)比对,修正预估过程中的参数误差,即可对将来充电过程中充电时间进行更为精准的预估。
本申请实施例三结合电池温度预估模型、BMS热管理策略和热管理系统模型,对将来充电过程中的热管理系统行为进行预测。本申请实施例三通过对将来充电过程中的热管理系统工作状态进行预测,计算将来充电过程中热管理系统的分配电流以及冷却液的温度,解决传统预估充电时间的方法中未考虑热管理系统对充电时间的影响的问题。
基于上述各实施例,本实施例对实施例三中的S2000步骤进行具体介绍。图6为本申请实施例四提供的一种热管理系统工作模式预估步骤流程图,如下所示。
步骤S2001:当前电池SOC与预先设定好的电池阈值SOC1进行比较。
BMS热管理模块根据充电过程中的当前电池温度Tbat和当前电池的需求电流得到当前电池SOC。将所得到的当前电池SOC与预先设定好的电池阈值SOC1进行比较。
其中,SOC1可以通过实验,仿真优化,BMS热管理策略,历史经验值,查表等方式获得。
若当前的SOC大于SOC1时,由于电芯本身的特性,最大可充电电流主要受限于SOC,而非电池的温度。因此,当SOC大于SOC1时,在电池安全的前提下可关闭热管理系统使电池的温度维持在最佳的区间(如25~35℃),以免增加额外的耗电量。因此,步骤S2001先判断将来充电过程中的SOC状态,若大于SOC1,则关闭热管理系统。若SOC小于SOC1,则启动热管理系统。
步骤S2002:根据电池温度判断热管理系统的工作模式。
根据将来充电过程中的电池温度与电池温度阈值T1,T2,T3进行比较,BMS电池管理系统判断热管理系统的工作模式为制冷,制热还是均温,并将判断后的工作模式请求发送给热管理系统。其中,所述T1,T2,T3可以通过实验,仿真优化,BMS热管理策略优化模型,历史经验值,查表等方式获得。
步骤S2003:根据热管理系统工作模式请求,确定热管理请求。
获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求;根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括多组阈值参数中的与所述热管理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数。
具体的,在电池过冷的状态下,即电池的温度小于预设的电池温度阈值Tbat<T1,BMS对热管理系统中的整车热管理控制器提出电池制热的工作模式请求,即在电池冷板中通入温度较高的冷却液,通过冷却液与电池的换热,达到给电池升温的目的。同 时,当Tbat<T1时,BMS还可以对热管理系统中的整车热管理控制器提出冷却液的温度阈值为Tc1及流量阈值为Fc1的请求。
在电池过热的状态下,即电池的温度大于预设定的电池温度Tbat>T2,BMS对整车热管理控制器提出电池制冷的工作模式请求,即在电池冷板中通入温度较低的冷却液,通过冷却液与电池的换热,达到给电池降温的目的。因此,当Tbat>T2时,BMS还同时对热管理系统中的整车热管理控制器提出冷却液的温度为Tc2及流量为Fc2的请求。
在电池自身温差过大的情况下,即电池各部分的温差大于预设定的温差ΔT>T3,对整车热管理控制器提出电池均温的工作模式请求,即增加电池冷板中冷却液的流速或者改变冷却液的流动方向,从而达到对电池均温的目的。所述的ΔT为电池的温差,即电池不同部分的温度的最大值和最小值之差。因此,当ΔT>T3时,BMS还可以对热管理系统中的整车热管理控制器提出冷却液的温度为Tc3及流量为Fc3的请求。
其中,在不考虑能耗的情况下,电池降温,升温所达到的理想温度为25~35℃之间,电池的温差小于5度。
所述的Tc1-Tc3,Fc1-Fc3为预先设定的阈值,可以通过实验,仿真优化,BMS热管理策略优化模型,历史经验值,查表等方式获得。
步骤S2004:发送热管理请求给热管理系统模块或关闭热管理系统。
步骤S2001先判断将来充电过程中的SOC状态,若大于SOC1,则关闭热管理系统。若SOC小于SOC1,则启动热管理系统。将步骤S2003中,根据不同的热管理模式所请求的冷却液温度和流量发送给热管理系统模块。
基于上述各实施例,本实施例对实施例三中的S3000步骤进行具体介绍。图7是本申请实施例五提供的一种预估热管理系统的分配电流,电池充电电流以及冷却液温度方法的步骤流程图,具体方法包括:
步骤S3001:判断热管理模式。
根据步骤S2003中BMS发出的热管理系统工作模式请求,确定热管理请求,在BMS中模拟的TMS模型接收到BMS请求后预估在将来充电过程中热管理系统工作模式请求即制热请求、制冷请求和均温请求。根据所述热管理请求,获取所述冷却液温度阈值;根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率;根据当前冷却液流量和冷却液流量阈值,获得水泵的消耗功率;根据所述制热功率或者所述制冷功率,以及所述水泵的消耗功率,获得所述热管理系统的需求电流。具体的,若电池需要制热,则触发BMS中模拟的TMS模型中加热回路功率计算模块;若电池需要制冷,则触发BMS中模拟的TMS模型中冷却回路功率计算模块;若电池需要均温,则触发BMS中模拟的TMS模型中电池均温回路功率计算模块.
步骤S3002:预估加热回路,制冷回路及均温回路制热量及功率。
a.加热回路
根据步骤S2003中BMS对热管理系统中的整车热管理控制器发送冷却液温度阈值Tc1的热管理请求及当前冷却液的温度,根据这两者温度差及冷却液的流速Fc1,可以计算出加热回路的制热量以及PTC的消耗功率(PTC的消耗功率=制热量/效率)或者热泵的消耗功率(热泵的消耗功率=制热量/热泵的能效比,COP,coefficient of performance,其中热泵的COP>1),以及水泵的制热功率。水泵的制热功率与冷却液的流速成正比。其中,PTC或热泵的控制算法可以是PID控制算法,模糊控制算法等。
b.制冷回路
根据步骤S2003中BMS对热管理系统中的整车热管理控制器发送冷却液温度阈值Tc2及流量Fc2的请求和当前冷却液温度,计算热管理系统需提供的制冷量及功率。其中,制冷量可以通过C×m×(当前冷却液温度-冷却液温度阈值Tc2)计算出来。通过比较当前环境温度与预设的环境温度阈值Tamb1,判断触发的制冷回路为主动冷却或者被动冷却。
当环境温度大于预设的环境温度阈值Tamb1时,为主动冷却,则根据压缩机制冷工作的COP及冷却液的流速,计算冷却回路部件(如压缩机、水泵等)的制冷功率。可以理解的,压缩机的消耗功率为制冷量除以压缩机的COP。水泵的制冷功率与冷却液的流速成正比。
当环境温度小于或等于模拟热管理控制器预设的环境温度阈值Tamb1时,为被动冷却,则根据环境温度计算电池散热器及水泵的转速,从而计算冷却部件(如电池散热器、水泵等)的制冷功率。可以理解的,电池散热器的制冷功率与电池散热器的转速成正比。水泵的制冷功率与冷却液的流速成正比。可选的,电池散热器可以为制冷风扇。
c.均温回路
根据步骤S2003中BMS对热管理系统中的整车热管理控制器发送冷却液温度阈值Tc3,流量阈值Fc3的请求和当前冷却液温度,根据实际电池的温差计算热管理系统需提供的冷却液流量,以此计算水泵的转速,进而得到水泵的消耗功率。水泵的消耗功率与冷却液的流速成正比。
步骤S3003:预估电池的需求电流和热管理系统需求电流。
通过当前的电池温度Tbat,以及电池SOC,根据f(SOC,Tbat),可以查表得到电池的需求电流。
热管理系统能耗计算模型根据热管理系统的制热功率或者制冷功率、冷却液的流量计算热管理系统总的消耗功率。通过热管理系统总的消耗功率与当前电池电压的比值,可以得到热管理系统的需求电流。其中,当前电池的电压与当前电池的SOC相对应。其中,热管理系统的制热功率或者制冷功率可以通过步骤S3002得到。具体的,根据所述待充电设备当前温度与待充电设备温度阈值比较,确定所述热管理系统工作模式请求;获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求;
根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括所述多组阈值参数中的与所述热管理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数;
根据所述热管理请求,获取所述冷却液温度阈值和冷却液的流量阈值;
根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率。
可选的,根据冷却液流量阈值与冷却液流量,计算水泵的消耗功率。
步骤S3004:分配电池的充电电流和热管理系统的分配电流,电池和热管理系统的功率。
需要说明的是,在充电过程中,可能会出现充电桩的能力小于电池的最大充电需求,因此,需要根据充电桩电流Imax,电池的需求电流Ibat_req,热管理系统的需求电流Ithermal_req,分配电池的充电电流Ibat_charge和热管理系统的分配电流Ithermal_charge。
当Imax>Ibat_req+Ithermal_req,可提供给电池的充电电流即为电池的需求电流Ibat_charge=Ibat_req。可提供给热管理系统的分配电流即为Ithermal_req。分配给热管理系统的功率为V×(Ithermal_req),所述V为电池的电压。分配电池的功率为V×(Ibat_req)。
当Imax<Ibat_req+Ithermal_req,分配给热管理系统的电流为K×Imax,其中K为系数,0<K≤1。K的值取决于当前电池的充电策略,比如是以加热优先还是充电优先。电池的充电电流为Imax×(1-K)。分配给热管理系统的功率为V×K×Imax,分配电池的功率为V×Imax×(1-K)。
可以理解的,根据制热量和分配给热管理系统的分配电流,可计算加热回路部件的工作功率,计算的方法和实际热管理控制器中的控制方法一致,可以是PID控制、模糊控制等,以此更好的对将来充电行为进行预测,使之与实际充电过程更加符合。
可以理解的,根据制冷量和分配给热管理系统的分配电流,可计算制冷回路部件的工作功率,计算的方法和实际热管理控制器中的控制方法一致,可以是PID控制、模糊控制等,以此更好的对将来充电行为进行预测,使之与实际充电过程更加符合。
可以理解的,根据分配给热管理系统的分配电流,可以计算均温回路部件的工作功率,计算的方法和实际热管理控制器中的控制方法一致,可以是PID控制、模糊控制等,以此更好的对将来充电行为进行预测,使之与实际充电过程更加符合。
将所得到的电池的充电电流和热管理系统的分配电流输出给步骤S3006用来计算剩余充电时间。
步骤S3005:预估将来冷却液的温度。
根据热管理系统各回路的工作功率,预估将来冷却液的温度。根据热管理系统的制冷量或制热量与冷却液与电池交换的热量Qcool之差,即可得到冷却液的温度。具体的,通过步骤S3004分配给热管理系统各回路的工作功率,可得到热管理系统的制冷量或制热量。电池与冷却液交换的热量Qcool等于电池与冷却液换热系数×(电池的温度-冷却液的温度)。根据充电桩电流,环境温度,冷却液温度和流量,通过电池与冷却液换热模型,计算得到电池与冷却液换热系数。所得到的冷却液的温度,输出给步骤S4000,用作进一步的预估将来电池温度。
下面对本申请实施例六所提供的一种离线预估充电时间的方法予以说明。
本实施例区别于实施例六在于本实施例为离线预估充电时间的方法,本实施例的方法基于热管理策略优化模型。通过获得预估的充电时间,可以得到优化的离线BMS热管理策略。其中,所得到的离线BMS热管理策略包括热管理请求的电池温度阈值,冷却液温度以及冷却液流量。本实施例中所得到的离线BMS热管理策略可以用于实施 例六中的对于热管理系统工作模式的预估。
另外,本实施例的预估充电时间的方法,除了输出将来充电过程中的充电时间,同时还可以输出其他热管理策略,比如将来充电过程中热管理系统的能耗(热管理系统的需求电流,分配电流)、电池的充电电流及充电效率(电池电流/(电池电流+热管理系统电流))、电池的充电温度曲线。
图8为本申请实施例六提供的一种离线预估充电汽车的充电时间的方法流程图。离线预估充电器车的充电时间的方法包括:获取多组样本参数,每组样本参数包括冷却液样本温度阈值,冷却液样本流量阈值;每组样本参数对应于一种所述热管理系统工作模式请求;根据所述多组样本参数,获得的充电时间;根据所获得的充电时间,选取最短的充电时间;根据所述最短的充电时间所对应的所述待充电设备样本温度阈值,所述冷却液样本温度阈值,所述冷却液样本流量阈值,获得所述热管理请求。所述热管理系统工作模式请求包括制冷请求,制热请求和均温请求。所述充电设备为充电桩。所述待充电设备为电池。具体的,所述方法包括如下步骤。
步骤S7100:设置样本初始状态。
此阶段与是实施例六的步骤S1000略有不同,本实施例用于离线的BMS热管理策略的优化,因此需要提前预设样本初始状态,包括初始的样本环境温度、初始样本电池状态(样本温度、样本SOC、样本SOH、样本SOE等)、初始的样本冷却液温度,样本充电终止条件(样本终止SOC),样本充放电倍率,以及样本充电桩电流。BMS根据电池当前的温度和当前的SOC,查表获取电池的需求电流。
可选的,设置样本初始状态,还可以包括设置样本整车状态。设置样本整车状态除了包括快充,还可以包括慢充和行程。针对不同的样本整车状态所对应的最优目标不同。根据不同的最优目标所得到的BMS热管理策略也会不同。具体地,当样本整车状态为快充时,最优目标为充电时间最短;当样本整车状态为慢充时,最优目标为充电效率最高;当样本整车状态为行车时,最优目标为电池可释放的SOE最大。通过热管理策略对电池温度的控制,使得由电池温度所带来的电池SOE的增量与热管理系统消耗的电量的差值最大,以达到电池可释放的SOE最大。
步骤S7200:预估将来热管理系统工作模式。
此阶段与实施例六的步骤有所不同,此实施例用于离线的BMS热管理策略的优化,因此需要根据样本参数,设置不同的热管理策略,最终得到不同样本整车状态下最优的热管理策略。比如,在最合适的时间开启或关闭热管理,在保证电池安全的前提下,发挥电池最大的能力。再比如,选择合适的样本电池温度阈值,样本冷却液流量阈值及样本冷却液温度阈值,以获得最短的充电时间。所述样本参数包括电池样本温度阈值,冷却液样本温度阈值,冷却液样本流量阈值。具体地,电池样本温度阈值包括开启冷却回路样本电池温度阈值,开启加热回路样本电池温度阈值,开启均温回路样本电池温度阈值。冷却液样本温度阈值包括请求制冷时样本冷却液温度,请求制热时样本冷却液温度,请求均温时样本冷却液温度。冷却液样本流量阈值包括请求制热时样本冷却液流量,请求制冷时样本冷却液流量,请求均温时样本冷却液流量。
可选的,开启冷却回路样本电池温度阈值:25℃/30℃/35℃/40℃;请求制冷时样本冷却液温度:10℃/15℃/20℃/25℃/30℃;请求制冷时样本冷却液流量: 5/10/15/20/25/30L/min;开启加热回路样本电池温度阈值:-5℃/0℃/10℃/15℃/20℃/25℃;请求制热时样本冷却液温度:30℃/35℃/40℃/45℃/50℃/55℃/60℃;请求制热时样本冷却液流量:5/10/15/20/25/30L/min。
可选的,上述各样本参数的具体大小及范围可根据实际需求或历史经验而定,不局限于上述具体数值限定。
步骤S7300:预估将来电池充电电流,热管理分配电流和冷却液温度。
本阶段与实施例六的步骤S3000相类似,根据预估的将来充电过程中的热管理系统的工作状态,得到将来充电过程中的电池的需求电流和充电电流,热管理系统需求电流和分配电流,以及冷却液温度。
步骤S7400:预测将来电池的温度。
本阶段与实施例六的步骤S4000相类似,根据将来充电过程中的环境温度、电池充电电流和冷却液温度,预估在将来充电过程中电池的温度。
步骤S7500:最优目标判断
通过每一组样本参数所对应的BMS热管理策略,即可得到该工况下所有的过程状态,包括电池的温度变化、冷却液的温度变化、将来过程中的热管理系统分配电流、将来过程中的电池充电电流,充电效率和充电时间、将来过程中的电池可放出能量SOE。所述SOE可以通过工况电流,输出电压与放电时间的乘积获得。实际放电电流为电池的工况电流与热管理系统的消耗电流的和。通过不同的热管理策略,得到不同的目标值。运行所设定的样本参数,判断所得到的目标值是否是最优目标。如果是最优目标,则根据每一个整车状态的最优目标,得到最优的BMS热管理策略。如果尚未获得最优目标,则改变BMS热管理策略所对应的样本参数直至样本中的样本参数全部运行完毕。如步骤S7100所述,最优目标包括充电时间最短,充电效率最高,电池可放出的能量SOE最大。另外,本实施例中所得到的电池样本温度阈值,冷却液样本温度阈值,冷却液样本流量阈值可以用于上述各实施例中的预估充电时间的方法,以减少实验量,提高预估的效率和精度。
本申请实施例六提出的离线预估充电时间的方法是基于BMS热管理策略的优化模型得到,模型中考虑了在将来工况中热管理系统的工作模式,相比传统的在线优化算法,或者基于固定冷却液温度和流量的离线标定算法本申请实施例提出的方法通过与BMS热管理策略实时耦合,更加准确的预估电池的实际充电过程。
基于以上实施例描述的预估充电时间方法,本申请实施例七还提供一种预估充电时间的装置8000,图9是本申请实施例提供的一种预估充电时间的装置8000的结构示意图。参见图9,该装置包括:数据获取模块8100、预估模块8200和充电时间计算模块8300。
在一个实施例中,该装置可以由的软件、硬件和/或固件的适当组合实现,比如通过计算机程序实现的一个或多个软件模块,这些软件模块可以包含在操作系统中,也可以作为独立的组件被操作系统或应用程序调用。
在另一个实施例中,数据获取模块8100、预估模块8200和充电时间计算模块8300也可以为处理器,其功能由处理器执行计算机程序(指令)来实现。
数据获取模块8100,用于执行上述图4(b)实施例中的步骤S101。具体的,数据获取模块8100,用于获取待充电设备当前温度,以及待充电设备的当前荷电状态(SOC)。
预估模块8200,用于执行上述图4(b)施例中的步骤S102-S104。具体的,预估模块8200,用于根据所述待充电设备当前温度,所述待充电设备当前荷电状态以及充电设备电流,预估热管理系统的需求电流,待充电设备的需求电流及待充电设备的充电电流。
计算模块8300,用于执行上述图4(b)施例中的步骤S105。具体的,计算模块8300,用于根据待充电设备的充电电流,计算充电时间。
其中,数据获取模块8100,获取充电桩的电流,电池的当前温度、当前SOC,以及环境温度、当前冷却液温度、充电结束条件(目标SOC或目标SOE等)。
其中,预估模块8200,可以包括工作模式预估单元,电流预估单元,以及温度预估单元。其中,工作模式预估单元用来预估热管理系统工作模式;电流预估单元根据充电桩的电流,热管理系统的需求电流及电池的需求电流,预估热管理系统的分配电流及充电桩的充电电流;温度预估单元用来预估冷却液温度,以及充电桩温度。具体的,当所述充电设备电流小于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述热管理系统的分配电流为K×所述充电设备电流,所述待充电设备的充电电流为充电设备电流与热管理系统的分配电流差值,即(1-K)×所述充电设备电流,其中K为系数,0<K≤1。根据确定的待充电设备的充电电流,获取待充电设备自身发热量,获取待充电设备与冷却液的换热量,获取待充电设备与环境的换热量,根据所述待充电设备自身发热量,所述待充电设备与冷却液的换热量,及所述待充电设备与环境的换热量之和获取所述待充电设备的当前温度。所述获取所述热管理系统的需求电流包括:根据所述待充电设备当前温度与待充电设备温度阈值比较,确定所述热管理系统工作模式请求;获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求;根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括所述多组阈值参数中的与所述热管理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数;
根据所述热管理请求,获取所述冷却液温度阈值和冷却液的流量阈值;
根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率;
根据当前冷却液流量和冷却液流量阈值,获得水泵的消耗功率
根据所述制热功率或者所述制冷功率,以及所述水泵的消耗功率,获得所述热管理系统的需求电流。
其中,电流预估单元还包括制冷,加热,和均温回路功率预估单元,用来预估各回路热管理系统能耗。根据BMS发出的热管理请求包括热管理系统的工作模式请求,冷却液温度和流量的请求,在BMS中模拟的TMS模型接收到BMS请求后判断在将来充电过程中热管理系统工作模式即制热、制冷和均温。若充电桩需要制热,则触发BMS中模拟的TMS模型中加热回路功率计算单元;若充电桩需要制冷,则触发BMS中模拟的TMS模型中冷却回路功率计算单元;若充电桩需要均温,则触发BMS中模拟的TMS 模型中充电桩均温回路功率计算单元。
其中,充电时间计算模块8300,根据从预估模块中获取的电池的充电电流,计算出从当前时刻到充电结束时所需要的时间。
其中,所述充电设备为充电桩;所述待充电设备为电池。
可选的,所述预估充电时间的装置,还可以包括通信模块,通过通信某块将充电时间信息通过HMI显示。
另外,在本申请各个实施例中的各功能模块或单元可以集成在一个处理模块或单元中,也可以是各个模块或单元单独物理存在,也可以两个或两个以上模块或单元集成在一个模块或单元中。
接下来对本申请实施例提供的计算机设备进行说明。
图10是本申请实施例提供的一种计算机设备的结构示意图,图10所示的装置架构可以通过该计算机设备实现。参见图10,该计算机设备包括至少一个处理器901、通信总线902、存储器903以及至少一个通信接口904。
处理器901可以是一个通用中央处理器(Central Processing Unit,CPU)、微处理器、特定应用集成电路(application-specific integrated circuit,ASIC),或者可以是一个或多个用于控制本申请方案程序执行的集成电路。
通信总线902可包括一通路,用于在上述组件之间传送信息。
存储器903可以是只读存储器(read-only memory,ROM)或可存储静态信息和指令的其它类型的静态存储设备,也可以是随机存取存储器(random access memory,RAM)或者可存储信息和指令的其它类型的动态存储设备,也可以是电可擦可编程只读存储器(Electrically Erasable Programmable Read-Only Memory,EEPROM)、只读光盘(Compact Disc Read-Only Memory,CD-ROM)或其它光盘存储、光碟存储(包括压缩光碟、激光碟、光碟、数字通用光碟、蓝光光碟等)、磁盘存储介质或者其它磁存储设备,或者是能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其它介质,但不限于此。存储器903可以是独立存在,并通过通信总线902与处理器901相连接。存储器903也可以和处理器901集成在一起。
通信接口904使用任何收发器一类的装置,用于与其它设备或通信网络通信,如以太网,无线接入网(Radio Access Network,RAN)、无线局域网(Wireless Local Area Networks,WLAN)等。
在具体实现中,作为一种实施例,处理器901可以包括一个或多个CPU,如图9中所示的CPU0和CPU1。
在具体实现中,作为一种实施例,计算机设备可以包括多个处理器,如图9中所示的处理器901和处理器905。这些处理器中的每一个可以是一个单核处理器(single-CPU),也可以是一个多核处理器(multi-CPU)。这里的处理器可以指一个或多个设备、电路、和/或用于处理数据(如计算机程序指令)的处理核。
在具体实现中,作为一种实施例,计算机设备还可以包括输出设备906和输入设备907。输出设备906和处理器901通信,可以以多种方式来显示信息。例如,输出设备906可以是液晶显示器(liquid crystal display,LCD)、发光二级管(light emitting diode,LED)显示设备、阴极射线管(cathode ray tube,CRT)显示设备或投影仪(projector)等。输入设备907和处理器901通信,可以以多种方式接收用户的输入。例如,输入设备907可以是鼠标、键盘、触摸屏设备或传感设备等。
上述的计算机设备可以是一个通用计算机设备或一个专用计算机设备。在具体实现中,计算机设备可以是台式机、便携式电脑、网络服务器、掌上电脑(Personal Digital Assistant,PDA)、移动手机、平板电脑、无线终端设备、通信设备或嵌入式设备,该计算机设备可以设置在电动车,充电桩上。本申请实施例不限定计算机设备的类型。
其中,存储器903用于存储执行本申请方案的程序代码910,处理器901用于执行存储器903中存储的程序代码910。该计算机设备可以通过处理器901以及存储器903中的程序代码910,来实现上文图3-8实施例提供的预估充电时间的方法。
在上述实施例中,可以全部或部分地通过软件、硬件、固件或者其任意结合来实现。当使用软件实现时,可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机指令时,全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络或其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中,或者从一个计算机可读存储介质向另一个计算机可读存储介质传输,例如,所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如:同轴电缆、光纤、数据用户线(Digital Subscriber Line,DSL))或无线(例如:红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质,或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如:软盘、硬盘、磁带)、光介质(例如:数字通用光盘(Digital Versatile Disc,DVD))或半导体介质(例如:固态硬盘(Solid State Disk,SSD))等。
在本申请所提供的实施例中,应该理解到,所述一种预估充电时间的方法,装置及存储介质也可以用于一种预估放电时间的方法,装置以及存储介质。其中,在充电过程中,所述充电桩输出电流为电池的需求电流与热管理系统的需求电流之和。在放电过程中,所述电池实际放出电流为放电工况电流与热管理系统的消耗电流之和。
在本申请所提供的实施例中,应该理解到,所揭露的装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
以上所述为本申请提供的实施例,并不用以限制本申请,凡在本申请的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本申请的保护范围之内。
Claims (20)
- 一种预估充电时间的方法,其特征在于,所述方法包括:在一个计算周期中,获取待充电设备的当前温度,以及待充电设备的当前荷电状态(SOC),根据所述当前温度和所述当前荷电状态,得到所述待充电设备的需求电流;根据充电设备电流,所述待充电设备的需求电流,热管理系统的需求电流,确定所述待充电设备的充电电流;根据所述待充电设备的剩余荷电状态和所述充电电流,得到充电时间,所述剩余荷电状态是根据所述当前荷电状态得到的。
- 根据权利要求1所述方法,其特征在于,所述根据充电设备电流,所述待充电设备的需求电流,热管理系统的需求电流,确定所述待充电设备的充电电流,包括:当所述充电设备电流大于或等于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述待充电设备的充电电流即为所述待充电设备的需求电流;或者当所述充电设备电流小于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述待充电设备的充电电流为充电设备电流与所述热管理系统的分配电流差值,其中,所述热管理系统的分配电流为K×所述充电设备电流,0<K≤1。
- 根据权利要求1或2所述方法,其特征在于,所述获取待充电设备的当前温度包括:获取在前一计算周期确定的所述待充电设备的当前温度,其中,所述待充电设备的当前温度在前一计算周期通过以下方法确定:确定待充电设备的充电电流之后,获取待充电设备自身发热量,获取待充电设备与冷却液的换热量,获取待充电设备与环境的换热量,根据所述待充电设备自身发热量,所述待充电设备与冷却液的换热量,及所述待充电设备与环境的换热量之和获取所述待充电设备的当前温度。
- 根据权利要求3所述方法,其特征在于,所述获取待充电设备自身发热量包括:根据所述待充电设备的充电电流,待充电设备的发热内阻,获取待充电设备自身发热量。
- 根据权利要求3所述方法,其特征在于,所述获取待充电设备与环境的换热量包括:根据所述前一计算周期确定的所述待充电设备的当前温度与前一计算周期的当前环境温度的第一温差值,获取所述待充电设备与环境的换热量。
- 根据权利要求3所述方法,其特征在于,所述获取待充电设备与冷却液的换热量包括:获取冷却液温度,根据所述前一计算周期确定的所述待充电设备的当前温度与所述冷却液温度的第二温差值,获取所述待充电设备与冷却液的换热量。
- 根据权利要求1所述方法,其特征在于根据充电设备电流,所述根据待充电设备的需求电流,热管理系统的需求电流,确定待充电设备的充电电流之前,所述方法包括:获取所述热管理系统的需求电流。
- 根据权利要求7所述方法,其特征在于,所述获取所述热管理系统的需求电流包括:根据所述待充电设备当前温度与待充电设备温度阈值比较,确定所述热管理系统工作模式请求;获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求;根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括所述多组 阈值参数中的与所述热管理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数;根据所述热管理请求,获取所述冷却液温度阈值和冷却液的流量阈值;根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率;根据当前冷却液流量和冷却液流量阈值,获得水泵的消耗功率;根据所述制热功率或者所述制冷功率,以及所述水泵的消耗功率,获得所述热管理系统的需求电流。
- 根据权利要求8所述方法,其特征在于,所述获取所述热管理请求包括:获取多组样本参数,每组样本参数包括冷却液样本温度阈值,冷却液样本流量阈值;每组样本参数对应于一种所述热管理系统工作模式请求;根据所述多组样本参数,获得的充电时间;根据所获得的充电时间,选取最短的充电时间;根据所述最短的充电时间所对应的所述待充电设备样本温度阈值,所述冷却液样本温度阈值,所述冷却液样本流量阈值,获得所述热管理请求。
- 根据权利要求8或9所述方法,其特征在于,所述热管理系统工作模式请求包括:制冷请求,制热请求,和均温请求。
- 根据权利要求1-10任一项所述方法,其特征在于,所述充电设备为充电桩。
- 根据权利要求1-11任一项所述方法,其特征在于,所述待充电设备为电池。
- 一种预估充电时间的装置,其特征在于,所述装置包括:数据获取模块,用于获取待充电设备当前温度,以及待充电设备的当前荷电状态(SOC);预估模块,用于根据所述待充电设备当前温度,所述待充电设备当前荷电状态以及充电设备电流,预估热管理系统的需求电流,待充电设备的需求电流及待充电设备的充电电流;计算模块,用于根据待充电设备的充电电流,计算充电时间。
- 根据权利要求13所述的装置,其特征在于,当所述充电设备电流小于所述待充电设备的需求电流与所述热管理系统的需求电流之和时,所述热管理系统的分配电流为K×所述充电设备电流,所述待充电设备的充电电流为充电设备电流与热管理系统的分配电流差值,即(1-K)×所述充电设备电流,其中K为系数,0<K≤1。
- 根据权利要求13或14所述的装置,其特征在于,确定待充电设备的充电电流之后,获取待充电设备自身发热量,获取待充电设备与冷却液的换热量,获取待充电设备与环境的换热量,根据所述待充电设备自身发热量,所述待充电设备与冷却液的换热量,及所述待充电设备与环境的换热量之和获取所述待充电设备的当前温度。
- 根据权利要求13或14所述的装置,其特征在于,所述获取所述热管理系统的需求电流包括:根据所述待充电设备当前温度与待充电设备温度阈值比较,确定所述热管理系统工作模式请求;获取多组阈值参数,每组阈值参数包括冷却液温度阈值以及冷却液流量阈值;每组阈值参数对应于一种热管理系统工作模式请求;根据热管理系统工作模式请求,确定热管理请求,所述热管理请求包括所述多组阈值参数中的与所述热管理系统工作模式请求中的热管理系统工作模式对应的一组阈值参数;根据所述热管理请求,获取所述冷却液温度阈值和冷却液的流量阈值;根据当前冷却液温度与所述冷却液温度阈值的差值,获得热管理系统的制热功率或者制冷功率;根据当前冷却液流量和冷却液流量阈值,获得水泵的消耗功率;根据所述制热功率或者所述制冷功率,以及所述水泵的消耗功率,获得所述热管理系统的需求电流。
- 根据权利要求13-16任一项所述装置,其特征在于,所述充电设备为充电桩。
- 根据权利要求13-17任一项所述装置,其特征在于,所述待充电设备为电池。
- 一种计算机设备,包括处理器、存储器及存储在所述存储器上并可被所述处理器执行的计算机程序,其特征在于,所述处理器执行所述程序时实现权利要求1-12中任一项所述的方法。
- 一种计算机可读存储介质,所述计算机可读存储介质中存储有指令,当其在计算机上运行时,使得计算机执行如权利要求1-12任一项所述的方法。
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP20901554.4A EP4067160A4 (en) | 2019-12-20 | 2020-12-10 | METHOD AND DEVICE FOR PREDICTING REMAINING LOAD TIME AND STORAGE MEDIA |
| US17/844,964 US20220320872A1 (en) | 2019-12-20 | 2022-06-21 | Charging time estimation method and apparatus, and storage medium |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911330319.X | 2019-12-20 | ||
| CN201911330319.XA CN111055722B (zh) | 2019-12-20 | 2019-12-20 | 一种预估充电时间的方法,装置及存储介质 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US17/844,964 Continuation US20220320872A1 (en) | 2019-12-20 | 2022-06-21 | Charging time estimation method and apparatus, and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2021121110A1 true WO2021121110A1 (zh) | 2021-06-24 |
Family
ID=70302612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2020/135061 Ceased WO2021121110A1 (zh) | 2019-12-20 | 2020-12-10 | 一种预估充电时间的方法,装置及存储介质 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20220320872A1 (zh) |
| EP (1) | EP4067160A4 (zh) |
| CN (1) | CN111055722B (zh) |
| WO (1) | WO2021121110A1 (zh) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114664165A (zh) * | 2022-03-25 | 2022-06-24 | 北京智扬北方国际教育科技有限公司 | 一种新能源汽车热管理展示系统 |
| CN115122959A (zh) * | 2022-07-22 | 2022-09-30 | 奇瑞新能源汽车股份有限公司 | 一种新能源汽车交流充电方法及系统 |
| EP4282695A1 (en) * | 2022-05-26 | 2023-11-29 | HERE Global B.V. | Method and apparatus for providing a charging time window for an electric vehicle |
| CN119045573A (zh) * | 2024-08-19 | 2024-11-29 | 江门市尚才电器有限公司 | 一种用于锅具的加热设备恒温加热控制方法及相关装置 |
Families Citing this family (56)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111055722B (zh) * | 2019-12-20 | 2023-11-17 | 华为技术有限公司 | 一种预估充电时间的方法,装置及存储介质 |
| CN111564877A (zh) * | 2020-04-30 | 2020-08-21 | 华为技术有限公司 | 用于充电管控的方法和装置 |
| CN113740740B (zh) * | 2020-05-27 | 2024-06-21 | 广汽埃安新能源汽车有限公司 | 一种直流充电剩余时间估算方法及其系统 |
| US12571637B2 (en) * | 2020-06-29 | 2026-03-10 | Rivian Ip Holdings, Llc | Battery pre-cooling system and method |
| CN111999660B (zh) * | 2020-08-31 | 2021-10-29 | 安徽江淮汽车集团股份有限公司 | 充电剩余时间确定方法、设备、存储介质及装置 |
| CN112526346B (zh) * | 2020-10-13 | 2024-10-29 | 长城汽车股份有限公司 | 一种确定剩余充电时间的方法、装置以及一种汽车 |
| CN114720876B (zh) * | 2021-01-05 | 2024-06-11 | 广汽埃安新能源汽车有限公司 | 动力电池剩余充电时间的获取方法、装置及介质 |
| CN112976999B (zh) * | 2021-04-12 | 2022-07-22 | 吉林大学 | 针对多热源直流储能装置的集成式热管理系统及控制方法 |
| CN113147507B (zh) * | 2021-04-25 | 2022-03-25 | 北京新能源汽车股份有限公司 | 剩余充电时长的估算方法、装置及电动汽车 |
| CN113335103B (zh) * | 2021-06-02 | 2022-06-17 | 上海艾姆倍新能源科技有限公司 | 一种大功率充电桩冷却系统、温度控制方法 |
| CN113346592B (zh) * | 2021-06-17 | 2024-04-16 | 宁波吉利汽车研究开发有限公司 | 一种电池充电控制方法、装置及车辆 |
| CN113406498A (zh) * | 2021-06-18 | 2021-09-17 | 广汽本田汽车有限公司 | 汽车电池充电时长的预估方法、系统、装置及存储介质 |
| CN113378403B (zh) * | 2021-06-28 | 2023-03-24 | 中国第一汽车股份有限公司 | 仿真测试建模方法、系统、测试方法、设备及存储介质 |
| CN113725954B (zh) * | 2021-08-16 | 2024-05-07 | 北京小米移动软件有限公司 | 充电方法、装置、设备及存储介质 |
| CN113792917B (zh) * | 2021-08-31 | 2023-06-02 | 三一汽车起重机械有限公司 | 电动起重机剩余作业时间的计算方法、装置及电动起重机 |
| CN113777509B (zh) * | 2021-08-31 | 2023-03-10 | 北汽福田汽车股份有限公司 | 车辆的剩余充电时间估算方法、装置及车辆 |
| US20230076418A1 (en) * | 2021-09-03 | 2023-03-09 | Rivian Ip Holdings, Llc | Thermal management system for a vehicle utilizing a multi-port valve assembly |
| CN115837856B (zh) * | 2021-09-22 | 2024-09-17 | 北京车和家信息技术有限公司 | 车辆充电成本确定方法、装置、设备及存储介质 |
| CN113968160B (zh) * | 2021-09-29 | 2023-10-20 | 华人运通(江苏)技术有限公司 | 车辆充电时间预估方法、装置、设备及存储介质 |
| CN113934970B (zh) * | 2021-09-30 | 2025-03-07 | 蜂巢能源科技股份有限公司 | 充电剩余时间的处理方法与装置 |
| CN114043902B (zh) * | 2021-11-17 | 2024-02-27 | 华人运通(江苏)技术有限公司 | 一种充电过流的保护方法、整车控制器及车辆 |
| CN114475353B (zh) * | 2022-01-20 | 2023-11-10 | 上海汽车集团股份有限公司 | 动力电池充电时间预估方法、装置、电子设备及存储介质 |
| CN115825760B (zh) * | 2022-01-27 | 2025-07-04 | 宁德时代新能源科技股份有限公司 | 充电剩余时间预估方法、装置、bms、用电设备及介质 |
| CN115832475A (zh) * | 2022-02-08 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | 充电时间确定方法及bms、电池、电能设备 |
| CN114879045A (zh) * | 2022-03-29 | 2022-08-09 | 中国第一汽车股份有限公司 | 一种验证充电剩余时间测试方法、装置、终端及存储介质 |
| JP2023160261A (ja) * | 2022-04-22 | 2023-11-02 | 株式会社Subaru | 充電管理装置及びナビゲーションシステム並びにコンピュータプログラム |
| CN114865150B (zh) * | 2022-06-01 | 2024-01-30 | 中国电建集团成都勘测设计研究院有限公司 | 一种储能用电池系统温度管理方法及系统 |
| CN117429297A (zh) * | 2022-07-12 | 2024-01-23 | 上海汽车集团股份有限公司 | 充电时间预测方法、装置、设备及介质 |
| CN115476733A (zh) * | 2022-08-31 | 2022-12-16 | 阿维塔科技(重庆)有限公司 | 动力电池的充电温度控制方法以及装置 |
| CN115373440B (zh) * | 2022-10-24 | 2023-03-24 | 武汉亿纬储能有限公司 | 电池能量分配单元温度控制方法 |
| TWI819891B (zh) * | 2022-11-11 | 2023-10-21 | 財團法人金屬工業研究發展中心 | 充電樁之安全檢測模擬系統及其檢測方法 |
| CN115848174B (zh) * | 2022-11-17 | 2025-02-18 | 中国第一汽车股份有限公司 | 一种动力电池快速加热充电方法、系统、装置及电动车辆 |
| GB2626128A (en) * | 2023-01-03 | 2024-07-17 | Perkins Engines Co Ltd | A method of thermal management of a battery |
| CN116118575A (zh) * | 2023-01-18 | 2023-05-16 | 重庆长安新能源汽车科技有限公司 | 动力电池的热管理控制方法及装置 |
| CN116564150B (zh) * | 2023-04-03 | 2025-08-01 | 山东电力高等专科学校 | 一种直流充电桩充电策略模拟系统及方法 |
| CN116184099B (zh) * | 2023-04-26 | 2023-07-07 | 深圳市百广源科技有限公司 | 一种新能源充电桩性能测试装置和测试方法 |
| CN116546799B (zh) * | 2023-07-04 | 2023-09-01 | 天津广瑞达汽车电子有限公司 | 一种基于实时红外图像数据的充电桩热处理方法及系统 |
| TWI851367B (zh) * | 2023-08-01 | 2024-08-01 | 新加坡商光寶科技新加坡私人有限公司 | 充電模組、充電樁及應用其之充電方法 |
| WO2025114948A1 (en) * | 2023-12-01 | 2025-06-05 | Maserati S.P.A. | A method for estimating a charging time of a battery of a vehicle having an electric traction motor, and a corresponding vehicle |
| CN118082627B (zh) * | 2024-03-05 | 2025-09-09 | 吉林大学 | 锂离子电池低温快充多阶段加热-防析锂协同控制方法 |
| CN118342997A (zh) * | 2024-05-13 | 2024-07-16 | 东风商用车有限公司 | 一种动力电池充电方法、装置、电子设备及存储介质 |
| CN118712579B (zh) * | 2024-05-30 | 2025-10-31 | 北京电投绿通科技有限公司 | 一种低温充电预热能耗管理方法以及预热能耗管理系统 |
| US20250379278A1 (en) * | 2024-06-08 | 2025-12-11 | Caterpillar Inc. | Systems and methods of enhancing battery thermal management during a charge event |
| US20250376079A1 (en) * | 2024-06-08 | 2025-12-11 | Caterpillar Inc. | Systems and methods of battery thermal management based on battery cell temperature |
| US20250379277A1 (en) * | 2024-06-08 | 2025-12-11 | Caterpillar Inc. | Systems and methods of battery thermal management based on current demands |
| CN118386883B (zh) * | 2024-06-27 | 2024-11-05 | 中国第一汽车股份有限公司 | 车辆应急充电方法、装置、存储介质及系统 |
| WO2026015406A1 (en) * | 2024-07-06 | 2026-01-15 | Joby Aero, Inc. | Battery thermal charging control |
| CN119037189B (zh) * | 2024-09-11 | 2025-02-11 | 江西驴充充物联网科技有限公司 | 一种电动汽车电池包与充电桩联合冷却方法及系统 |
| CN118944249B (zh) * | 2024-09-29 | 2024-12-10 | 深圳市德兰明海新能源股份有限公司 | 一种充电剩余时长的计算方法、装置、电池和存储介质 |
| CN119239250B (zh) * | 2024-10-25 | 2025-12-12 | 重庆赛力斯凤凰智创科技有限公司 | 车辆热管理控制方法、装置、电子设备及存储介质 |
| CN119239377A (zh) * | 2024-12-03 | 2025-01-03 | 洛阳锦晟德新能源科技有限公司 | 一种储能电池充电控制方法 |
| CN119550878B (zh) * | 2024-12-31 | 2025-09-26 | 长城汽车股份有限公司 | 一种调温系统的控制方法、系统、存储介质及车辆 |
| CN119611159B (zh) * | 2025-02-17 | 2025-06-20 | 福建百城新能源科技有限公司 | 一种电动汽车的超充控制方法及其系统 |
| CN119975102B (zh) * | 2025-02-26 | 2025-11-07 | 广州汽车集团股份有限公司 | 热管理方法、热管理系统、储存介质和车辆 |
| CN119975072B (zh) * | 2025-04-14 | 2025-06-24 | 力高(山东)新能源技术股份有限公司 | 一种慢充工况下剩余充电时间的确定方法、系统、设备及介质 |
| CN121077036B (zh) * | 2025-11-06 | 2026-02-13 | 湖南工程学院 | 融合温度的锂离子电池主动均衡的控制方法及控制系统 |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103427137A (zh) * | 2013-08-20 | 2013-12-04 | 重庆长安汽车股份有限公司 | 纯电动汽车动力电池的低温充电加热系统及加热方法 |
| JP2014171345A (ja) * | 2013-03-05 | 2014-09-18 | Mitsubishi Electric Corp | 車載蓄電池の充電制御システム |
| CN106183844A (zh) * | 2015-05-26 | 2016-12-07 | 丰田自动车株式会社 | 车辆 |
| CN205790267U (zh) * | 2016-07-07 | 2016-12-07 | 欧孚迪汽车设计武汉有限公司 | 一种电动车电池充电热交换系统 |
| CN108172930A (zh) * | 2017-12-26 | 2018-06-15 | 智车优行科技(上海)有限公司 | 电池包冷却控制方法、装置和电池包 |
| US20180170208A1 (en) * | 2016-12-19 | 2018-06-21 | Hyundai Motor Company | Vehicle and Method for Controlling the Same |
| CN109466372A (zh) * | 2018-11-20 | 2019-03-15 | 上海元城汽车技术有限公司 | 一种充电剩余时间计算方法、装置及存储介质 |
| CN110109024A (zh) * | 2019-05-15 | 2019-08-09 | 广州小鹏汽车科技有限公司 | 电池充电时间的预测方法、装置、电池管理系统 |
| CN110435478A (zh) * | 2019-07-11 | 2019-11-12 | 桑顿新能源科技(长沙)有限公司 | 一种动力电池充电系统、充电方法及电动汽车 |
| CN111055722A (zh) * | 2019-12-20 | 2020-04-24 | 华为技术有限公司 | 一种预估充电时间的方法,装置及存储介质 |
Family Cites Families (146)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5079716A (en) * | 1990-05-01 | 1992-01-07 | Globe-Union, Inc. | Method and apparatus for estimating a battery temperature |
| US5178206A (en) * | 1990-05-25 | 1993-01-12 | American Stabilis, Inc. | Thermal storage control logic for storage heaters |
| JP2539540B2 (ja) * | 1990-09-19 | 1996-10-02 | 株式会社日立製作所 | プロセス制御装置 |
| US5188465A (en) * | 1991-03-01 | 1993-02-23 | International Business Machines Corporation | RMS power controller for dot-matrix printers |
| AU2683192A (en) * | 1991-09-17 | 1993-04-27 | General Physics International Engineering & Simulation, Inc. | Real time analysis of power plant thermohydraulic phenomenon |
| US5241855A (en) * | 1991-10-31 | 1993-09-07 | Ford Motor Company | Method and apparatus for inferring engine torque |
| US5565759A (en) * | 1994-12-15 | 1996-10-15 | Intel Corporation | Smart battery providing battery life and recharge time prediction |
| US7147071B2 (en) * | 2004-02-04 | 2006-12-12 | Battelle Energy Alliance, Llc | Thermal management systems and methods |
| US6138466A (en) * | 1998-11-12 | 2000-10-31 | Daimlerchrysler Corporation | System for cooling electric vehicle batteries |
| US6011380A (en) * | 1999-03-31 | 2000-01-04 | Honda Giken Kogyo Kabushiki Kaisha | Refreshing charge control method and apparatus to extend the life of batteries |
| US6300763B1 (en) * | 2000-11-27 | 2001-10-09 | Delphi Technologies, Inc. | Method of calculating dynamic state-of-charge within a battery |
| US6404163B1 (en) * | 2001-06-25 | 2002-06-11 | General Motors Corporation | Method and system for regulating a charge voltage delivered to a battery |
| US7078877B2 (en) * | 2003-08-18 | 2006-07-18 | General Electric Company | Vehicle energy storage system control methods and method for determining battery cycle life projection for heavy duty hybrid vehicle applications |
| US8624169B1 (en) * | 2004-10-07 | 2014-01-07 | Wally B. Sorenson | Electric grilling appliance |
| US7405537B2 (en) * | 2004-12-20 | 2008-07-29 | Gm Global Technology Operations, Inc. | Apparatus and methods for estimating the state-of-charge of a power source |
| JP2006304572A (ja) * | 2005-04-25 | 2006-11-02 | Matsushita Electric Works Ltd | 充電装置 |
| US7244905B2 (en) * | 2005-06-09 | 2007-07-17 | Daimlerchrysler Corporation | Method for estimating nugget diameter and weld parameters |
| US8197386B2 (en) * | 2005-08-11 | 2012-06-12 | American Axle & Manufacturing, Inc. | Electrohydraulic torque transfer device and temperature control system |
| US7920441B2 (en) * | 2006-09-21 | 2011-04-05 | Atheros Communications, Inc. | Optimized time acquisition algorithm for low-power GPS-based watch applications |
| US7389159B2 (en) * | 2006-03-09 | 2008-06-17 | Lennox Manufacturing Inc | Control algorithm for backup power system |
| US7550946B2 (en) * | 2006-06-07 | 2009-06-23 | Gm Global Technology Operations, Inc. | Method and apparatus for real-time life estimation of an electric energy storage device in a hybrid electric vehicle |
| US7598712B2 (en) * | 2006-06-07 | 2009-10-06 | Gm Global Technology Operations, Inc. | Method and apparatus for real-time life estimation of an electric energy storage device |
| JP4715708B2 (ja) * | 2006-10-03 | 2011-07-06 | トヨタ自動車株式会社 | 電動車両および車両充電システム |
| DE602007009878D1 (de) * | 2007-06-08 | 2010-11-25 | Abb Research Ltd | Tands eines stromversorgungssystems im zeitbereich |
| US7671567B2 (en) * | 2007-06-15 | 2010-03-02 | Tesla Motors, Inc. | Multi-mode charging system for an electric vehicle |
| US8204702B2 (en) * | 2007-10-26 | 2012-06-19 | GM Global Technology Operations LLC | Method for estimating battery life in a hybrid powertrain |
| US7904287B2 (en) * | 2007-11-13 | 2011-03-08 | International Business Machines Corporation | Method and system for real-time prediction of power usage for a change to another performance state |
| FR2929410B1 (fr) * | 2008-03-28 | 2010-04-09 | Inst Francais Du Petrole | Methode pour estimer les caracteristiques non mesurables d'un systeme electrochimique |
| US8754611B2 (en) * | 2008-04-11 | 2014-06-17 | Apple Inc. | Diffusion-limited adaptive battery charging |
| US9139104B2 (en) * | 2008-06-11 | 2015-09-22 | Lg Chem, Ltd. | U-type battery pack for electric vehicle |
| US8063609B2 (en) * | 2008-07-24 | 2011-11-22 | General Electric Company | Method and system for extending life of a vehicle energy storage device |
| US8401833B2 (en) * | 2008-08-15 | 2013-03-19 | Power Analytics Corporation | Method for predicting power usage effectiveness and data center infrastructure efficiency within a real-time monitoring system |
| EP4342723A1 (en) * | 2008-08-18 | 2024-03-27 | Christopher B. Austin | Vehicular battery charger, charging system, and method |
| US8232771B2 (en) * | 2008-12-08 | 2012-07-31 | Apple Inc. | Battery gas gauge reset mechanism |
| JP2010262879A (ja) * | 2009-05-11 | 2010-11-18 | Kansai Electric Power Co Inc:The | 温度調節装置、電力貯蔵装置、温度制御プログラム、および温度制御方法 |
| DE102009036943A1 (de) * | 2009-08-11 | 2011-03-03 | Continental Automotive Gmbh | Ladegerät für einen Energiespeicher und Verfahren zum Betreiben eines solchen Ladegeräts |
| FR2949565B1 (fr) * | 2009-09-02 | 2012-12-21 | Inst Francais Du Petrole | Methode amelioree pour estimer les caracteristiques non mesurables d'un systeme electrochimique |
| US9181953B2 (en) * | 2009-10-01 | 2015-11-10 | Specific Energy | Controlling pumps for improved energy efficiency |
| US7928699B2 (en) * | 2009-11-05 | 2011-04-19 | Tesla Motors, Inc. | Battery charging time optimization system |
| US8926604B2 (en) * | 2009-12-23 | 2015-01-06 | Biosense Webster (Israel) Ltd. | Estimation and mapping of ablation volume |
| US8529125B2 (en) * | 2010-05-26 | 2013-09-10 | GM Global Technology Operations LLC | Dynamic estimation of cell core temperature by simple external measurements |
| JP2012016078A (ja) * | 2010-06-29 | 2012-01-19 | Hitachi Ltd | 充電制御システム |
| US20120041855A1 (en) * | 2010-08-13 | 2012-02-16 | Sterling William D | EV charging system with electric vehicle diagnostic |
| US9496730B2 (en) * | 2010-09-02 | 2016-11-15 | Proterra Inc. | Systems and methods for battery management |
| JP5696877B2 (ja) * | 2010-10-01 | 2015-04-08 | 清水建設株式会社 | 運転管理装置、運転管理方法、および運転管理プログラム |
| US8781658B2 (en) * | 2010-10-28 | 2014-07-15 | GM Global Technology Operations LLC | Systems and methods for determining the target thermal conditioning value to control a rechargeable energy storage system |
| JP5599375B2 (ja) * | 2010-11-24 | 2014-10-01 | 三菱電機株式会社 | 蓄電装置の劣化監視方法、及びその劣化監視装置 |
| US8589024B2 (en) * | 2010-11-29 | 2013-11-19 | GM Global Technology Operations LLC | Thermal conditioning of rechargeable energy storage systems of vehicles |
| US9966753B2 (en) * | 2011-02-02 | 2018-05-08 | Mitsubishi Electric Corporation | Power switching device operating time prediction equipment and method |
| JP5708070B2 (ja) * | 2011-03-11 | 2015-04-30 | 日産自動車株式会社 | バッテリ温度制御装置 |
| JP5668541B2 (ja) * | 2011-03-11 | 2015-02-12 | 日産自動車株式会社 | 車両の充電制御装置 |
| US8635044B2 (en) * | 2011-04-27 | 2014-01-21 | Advanced Micro Devices, Inc. | Transient thermal modeling of multisource power devices |
| FR2974922B1 (fr) * | 2011-05-04 | 2013-04-26 | IFP Energies Nouvelles | Procede optimise de gestion thermique d'un systeme electrochimique de stockage |
| US9786961B2 (en) * | 2011-07-25 | 2017-10-10 | Lightening Energy | Rapid charging electric vehicle and method and apparatus for rapid charging |
| US8350526B2 (en) * | 2011-07-25 | 2013-01-08 | Lightening Energy | Station for rapidly charging an electric vehicle battery |
| US9244132B2 (en) * | 2011-09-12 | 2016-01-26 | Eaglepicher Technologies, Llc | Systems and methods for determining battery state-of-health |
| US8810584B2 (en) * | 2011-09-13 | 2014-08-19 | Nvidia Corporation | Smart power management in graphics processing unit (GPU) based cluster computing during predictably occurring idle time |
| US10427491B2 (en) * | 2011-09-28 | 2019-10-01 | Tesla, Inc. | Thermal management system with heat exchanger blending valve |
| TW201331066A (zh) * | 2011-10-10 | 2013-08-01 | 普羅泰拉公司 | 在固定路線應用程式下用於電池壽命最大化的系統及方法 |
| US8620506B2 (en) * | 2011-12-21 | 2013-12-31 | Ford Global Technologies, Llc | Method and system for thermal management of a high voltage battery for a vehicle |
| US9376031B2 (en) * | 2011-12-22 | 2016-06-28 | GM Global Technology Operations LLC | Rechargeable energy storage system (RESS) thermal conditioning based on RESS state of charge threshold |
| US9340114B2 (en) * | 2012-01-23 | 2016-05-17 | Ford Global Technologies, Llc | Electric vehicle with transient current management for DC-DC converter |
| JP5998506B2 (ja) * | 2012-02-13 | 2016-09-28 | 株式会社デンソー | ハイブリッド車両の制御装置 |
| US8981727B2 (en) * | 2012-05-21 | 2015-03-17 | General Electric Company | Method and apparatus for charging multiple energy storage devices |
| US9197098B2 (en) * | 2012-07-02 | 2015-11-24 | Kohler Co. | Standby power system that predicts a need to supply power to a load to minimize start time of a generator |
| US20140012447A1 (en) * | 2012-07-03 | 2014-01-09 | Magna E-Car Systems Of America, Inc. | Thermal management of vehicle battery pack during charging |
| KR20150038145A (ko) * | 2012-09-21 | 2015-04-08 | 닛산 지도우샤 가부시키가이샤 | 충전 제어 장치 및 충전 시간 연산 방법 |
| US11511647B2 (en) * | 2012-09-24 | 2022-11-29 | Robert Del Core | Adaptive thermal management of an electric energy supply, controller, system, and method |
| US9827871B2 (en) * | 2012-09-24 | 2017-11-28 | Robert Del Core | Adaptive thermal management of an electric energy storage method and system apparatus |
| US10780786B2 (en) * | 2012-09-24 | 2020-09-22 | Robert Del Core | Adaptive thermal management of an electric energy storage method and system apparatus |
| FR2999234B1 (fr) * | 2012-12-11 | 2014-12-19 | Renault Sa | Procede de gestion d'un groupe motopropulseur mettant en oeuvre une estimation de la temperature moteur a la fin d'un temps d'arret d'un element du groupe motopropulseur |
| US20140174707A1 (en) * | 2012-12-21 | 2014-06-26 | GM Global Technology Operations LLC | Method and system for thermal storage in a vehicle |
| CN104237791A (zh) * | 2013-06-20 | 2014-12-24 | 电子科技大学 | 一种锂电池荷电状态估算方法及电池管理系统和电池系统 |
| US9457682B2 (en) * | 2013-08-30 | 2016-10-04 | GM Global Technology Operations LLC | Method for predicting charging process duration |
| US9563217B2 (en) * | 2013-12-17 | 2017-02-07 | Eaton Corporation | Method and apparatus to optimize generator start delay and runtime following outage |
| US9720487B2 (en) * | 2014-01-10 | 2017-08-01 | Advanced Micro Devices, Inc. | Predicting power management state duration on a per-process basis and modifying cache size based on the predicted duration |
| CN106487065B (zh) * | 2014-01-28 | 2019-02-05 | Oppo广东移动通信有限公司 | 快速充电方法和系统 |
| JP6183242B2 (ja) * | 2014-02-18 | 2017-08-23 | トヨタ自動車株式会社 | 蓄電システム |
| US9893394B2 (en) * | 2014-04-01 | 2018-02-13 | The Regents Of The University Of Michigan | Real-time battery thermal management for electric vehicles |
| US10059222B2 (en) * | 2014-04-15 | 2018-08-28 | Ford Global Technologies, Llc | Battery temperature estimation system |
| US9354621B2 (en) * | 2014-06-16 | 2016-05-31 | General Electric Company | Systems and methods for control of an adaptive-cycle engine with power-thermal management system |
| US9315108B2 (en) * | 2014-07-08 | 2016-04-19 | Toyota Jidosha Kabushiki Kaisha | Vehicle function determination |
| US20160014695A1 (en) * | 2014-07-11 | 2016-01-14 | Qualcomm Incorporated | Drx power usage by dynamically adjusting a warmup period |
| US9878632B2 (en) * | 2014-08-19 | 2018-01-30 | General Electric Company | Vehicle propulsion system having an energy storage system and optimized method of controlling operation thereof |
| US9889752B2 (en) * | 2014-08-19 | 2018-02-13 | General Electric Company | Vehicle propulsion system having an energy storage system and optimized method of controlling operation thereof |
| TWI539716B (zh) * | 2014-09-02 | 2016-06-21 | 宏碁股份有限公司 | 充電裝置及充電方法 |
| US9318778B2 (en) * | 2014-09-17 | 2016-04-19 | GM Global Technology Operations LLC | Systems and methods for battery system temperature estimation |
| DE112015004541T5 (de) * | 2014-10-03 | 2017-06-14 | Lightening Energy | System und Verfahren für das Wärmemanagement von Elektrofahrzeugbatterien |
| US10099562B2 (en) * | 2014-10-15 | 2018-10-16 | Johnson Controls Technology Company | Cooling strategy for battery systems |
| JP6191586B2 (ja) * | 2014-12-02 | 2017-09-06 | トヨタ自動車株式会社 | モータコントローラ、電動車両、及び、スイッチング素子の熱ストレス推定方法 |
| CN107406004B (zh) * | 2015-01-13 | 2021-05-07 | 沃尔沃汽车公司 | 用于确定车辆中的电池的能量状态的值的方法及设备 |
| TWI523298B (zh) * | 2015-01-16 | 2016-02-21 | 新普科技股份有限公司 | 預估鋰離子電池剩餘充電時間之方法以及充電監測器 |
| US20160207417A1 (en) * | 2015-01-20 | 2016-07-21 | Atieva, Inc. | Preemptive EV Battery Pack Temperature Control System |
| US20160276843A1 (en) * | 2015-03-20 | 2016-09-22 | Ford Global Technologies, Llc | Battery Charge Strategy Using Discharge Cycle |
| US9905893B2 (en) * | 2015-06-30 | 2018-02-27 | Proterra Inc. | Battery system cooling |
| US9705327B2 (en) * | 2015-07-14 | 2017-07-11 | Restore Nv | Self-learning, real-time, data-driven power metering system |
| US10164450B2 (en) * | 2015-08-17 | 2018-12-25 | Ford Global Technologies, Llc | Early alert of battery thermal state based on voltage |
| US20170088007A1 (en) * | 2015-09-25 | 2017-03-30 | Atieva, Inc. | External Auxiliary Thermal Management System for an Electric Vehicle |
| US9987944B2 (en) * | 2015-11-09 | 2018-06-05 | Ford Global Technologies, Llc | Electric vehicle opportunistic charging systems and methods |
| US9955296B2 (en) * | 2016-01-13 | 2018-04-24 | Edwin Mcauley Electronics Ltd. | Wireless controlled thermostat with reduced polling communications during predicted periods of low activity to save power |
| JP6789299B2 (ja) * | 2016-01-13 | 2020-11-25 | フレックストロニックス エーピー エルエルシー | 高率電池放電中の放電持続時間の推定の方法 |
| US10471803B2 (en) * | 2016-01-27 | 2019-11-12 | Ford Global Technologies, Llc | Systems and methods for thermal battery control |
| US20170232865A1 (en) * | 2016-02-11 | 2017-08-17 | Ford Global Technologies, Llc | Thermal Management System for Fast Charge Battery Electric Vehicle |
| CN107204204B (zh) * | 2016-03-16 | 2020-01-31 | 建兴储存科技(广州)有限公司 | 固态储存装置的断电期间估计方法 |
| US20180040384A1 (en) * | 2016-08-08 | 2018-02-08 | Linear Technology Corporation | Multiple temperature testing of non-volatile memory data retention time |
| US11002493B2 (en) * | 2016-08-24 | 2021-05-11 | Ford Global Technologies, Llc | Systems and methods for thermal battery control |
| US20180080995A1 (en) * | 2016-09-20 | 2018-03-22 | Faraday&Future Inc. | Notification system and method for providing remaining running time of a battery |
| CN106291390B (zh) * | 2016-10-13 | 2019-06-21 | 宁德时代新能源科技股份有限公司 | 一种电池充电时的剩余电量计算方法、装置与电池包 |
| CN106921003B (zh) * | 2016-10-25 | 2019-09-06 | 蔚来汽车有限公司 | 电动汽车电池包温度的智能控制系统和方法 |
| KR102639843B1 (ko) * | 2016-12-20 | 2024-02-26 | 현대자동차주식회사 | 차량용 배터리 관리 시스템 및 방법과 이를 위한 차량 |
| US9817074B1 (en) * | 2017-02-22 | 2017-11-14 | Bordrin Motor Corporation, Inc. | Method and apparatus for automatically computing work accuracy of a battery management system offline |
| JP6863795B2 (ja) * | 2017-03-30 | 2021-04-21 | ビークルエナジージャパン株式会社 | 電池エネルギー貯蔵システム、電池管理システムおよび制御方法 |
| US10984362B2 (en) * | 2017-05-02 | 2021-04-20 | Centaur Analytics, Inc. | Methods for post-harvest crop pest management |
| CN107271905B (zh) * | 2017-05-25 | 2019-12-27 | 上海思致汽车工程技术有限公司 | 一种用于纯电动汽车的电池容量主动估计方法 |
| DE112018003701T5 (de) * | 2017-07-19 | 2020-04-02 | Mitsubishi Electric Corporation | Speicherbatteriesystem-ladesteuerungseinrichtung, speicherbatteriesystem und speicherbatterie-ladesteuerungsverfahren |
| CN109599607B (zh) * | 2017-09-30 | 2021-01-19 | 比亚迪股份有限公司 | 车载电池的温度调节系统 |
| CN109980312B (zh) * | 2017-12-27 | 2022-04-08 | 宇通客车股份有限公司 | 一种车载液冷电池箱的温度均衡控制系统 |
| DE102018200144A1 (de) * | 2018-01-08 | 2019-07-11 | Robert Bosch Gmbh | Verfahren und Managementsystem zum Steuern und Überwachen von mehreren Batteriezellen eines Batteriepacks sowie Batteriepack |
| KR102525676B1 (ko) * | 2018-02-20 | 2023-04-24 | 에스케이온 주식회사 | 배터리 관리 시스템 |
| US10830494B2 (en) * | 2018-03-13 | 2020-11-10 | Haier Us Appliance Solutions, Inc. | Water heater appliance and methods of operation |
| JP6909928B2 (ja) * | 2018-05-31 | 2021-07-28 | 本田技研工業株式会社 | 充電制御装置、輸送機器、及びプログラム |
| CN112292782B (zh) * | 2018-06-22 | 2024-09-17 | 松下知识产权经营株式会社 | 电池系统 |
| KR102361268B1 (ko) * | 2018-07-10 | 2022-02-09 | 주식회사 엘지에너지솔루션 | 전기자동차용 전지팩 냉각 시스템 및 이를 이용한 전기자동차용 전지팩 시스템의 냉각 방법 |
| JP6989453B2 (ja) * | 2018-07-17 | 2022-01-05 | 本田技研工業株式会社 | 電動車両の制御装置 |
| CN111257752B (zh) * | 2018-11-30 | 2021-02-26 | 宁德时代新能源科技股份有限公司 | 剩余充电时间估算方法、装置、系统和存储介质 |
| KR102465889B1 (ko) * | 2018-12-18 | 2022-11-09 | 주식회사 엘지에너지솔루션 | 이차 전지 팩의 충전 제어 장치 및 방법 |
| JP2020108256A (ja) * | 2018-12-27 | 2020-07-09 | トヨタ自動車株式会社 | 車載バッテリ充電システム |
| JP7163785B2 (ja) * | 2019-01-17 | 2022-11-01 | トヨタ自動車株式会社 | 車両および車両の制御方法 |
| JP7115338B2 (ja) * | 2019-01-25 | 2022-08-09 | トヨタ自動車株式会社 | 電動車両 |
| KR102659060B1 (ko) * | 2019-04-03 | 2024-04-19 | 현대자동차주식회사 | 전기 차량 및 이의 냉각 방법 |
| US10953726B2 (en) * | 2019-04-23 | 2021-03-23 | GM Global Technology Operations LLC | Battery thermal management |
| US11152653B2 (en) * | 2019-04-23 | 2021-10-19 | GM Global Technology Operations LLC | Battery thermal management |
| US11590855B2 (en) * | 2019-04-26 | 2023-02-28 | Hanon Systems | Electric vehicle fast charging and battery cooling system using a charger cooled fluid-to-battery cooled fluid heat exchange device |
| DE102019207002A1 (de) * | 2019-05-14 | 2020-11-19 | Audi Ag | Verfahren zum elektrischen Laden eines Energiespeichers eines Kraftfahrzeugs, Steuereinrichtung und Kraftfahrzeug |
| CN110146816B (zh) * | 2019-05-31 | 2022-02-01 | 蜂巢能源科技有限公司 | 电池剩余充电时间的确定方法、装置、设备及存储介质 |
| CN112319310B (zh) * | 2019-08-05 | 2022-03-25 | 宁德时代新能源科技股份有限公司 | 电池组的热管理方法 |
| DE102019121461B3 (de) * | 2019-08-08 | 2020-12-24 | TWAICE Technologies GmbH | Simulation einer Batterie |
| JP7228118B2 (ja) * | 2019-08-27 | 2023-02-24 | 株式会社Gsユアサ | 蓄電素子の充電状態推定値の補正方法、蓄電素子の管理装置、及び、蓄電装置 |
| US11515587B2 (en) * | 2019-10-10 | 2022-11-29 | Robert Bosch Gmbh | Physics-based control of battery temperature |
| CN112671052A (zh) * | 2019-10-16 | 2021-04-16 | Oppo广东移动通信有限公司 | 待充电设备及充电方法 |
| US11588437B2 (en) * | 2019-11-04 | 2023-02-21 | Siemens Aktiengesellschaft | Automatic generation of reference curves for improved short term irradiation prediction in PV power generation |
| CN112964991B (zh) * | 2019-11-28 | 2022-07-15 | 比亚迪股份有限公司 | 电池内部温度信息处理方法、计算机设备和存储介质 |
| JP7324136B2 (ja) * | 2019-12-12 | 2023-08-09 | 株式会社Subaru | 充電システムおよび車両 |
| US11567503B1 (en) * | 2019-12-17 | 2023-01-31 | Matthew MacGregor Roy | Cold weather battery capacity prediction for electric vehicle |
| CN115149593A (zh) * | 2021-03-29 | 2022-10-04 | 北京小米移动软件有限公司 | 预测充电剩余时间的方法、装置及存储介质 |
| JP7154338B1 (ja) * | 2021-03-31 | 2022-10-17 | 本田技研工業株式会社 | 充電制御装置及び充電制御方法 |
-
2019
- 2019-12-20 CN CN201911330319.XA patent/CN111055722B/zh active Active
-
2020
- 2020-12-10 EP EP20901554.4A patent/EP4067160A4/en active Pending
- 2020-12-10 WO PCT/CN2020/135061 patent/WO2021121110A1/zh not_active Ceased
-
2022
- 2022-06-21 US US17/844,964 patent/US20220320872A1/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014171345A (ja) * | 2013-03-05 | 2014-09-18 | Mitsubishi Electric Corp | 車載蓄電池の充電制御システム |
| CN103427137A (zh) * | 2013-08-20 | 2013-12-04 | 重庆长安汽车股份有限公司 | 纯电动汽车动力电池的低温充电加热系统及加热方法 |
| CN106183844A (zh) * | 2015-05-26 | 2016-12-07 | 丰田自动车株式会社 | 车辆 |
| CN205790267U (zh) * | 2016-07-07 | 2016-12-07 | 欧孚迪汽车设计武汉有限公司 | 一种电动车电池充电热交换系统 |
| US20180170208A1 (en) * | 2016-12-19 | 2018-06-21 | Hyundai Motor Company | Vehicle and Method for Controlling the Same |
| CN108172930A (zh) * | 2017-12-26 | 2018-06-15 | 智车优行科技(上海)有限公司 | 电池包冷却控制方法、装置和电池包 |
| CN109466372A (zh) * | 2018-11-20 | 2019-03-15 | 上海元城汽车技术有限公司 | 一种充电剩余时间计算方法、装置及存储介质 |
| CN110109024A (zh) * | 2019-05-15 | 2019-08-09 | 广州小鹏汽车科技有限公司 | 电池充电时间的预测方法、装置、电池管理系统 |
| CN110435478A (zh) * | 2019-07-11 | 2019-11-12 | 桑顿新能源科技(长沙)有限公司 | 一种动力电池充电系统、充电方法及电动汽车 |
| CN111055722A (zh) * | 2019-12-20 | 2020-04-24 | 华为技术有限公司 | 一种预估充电时间的方法,装置及存储介质 |
Non-Patent Citations (1)
| Title |
|---|
| See also references of EP4067160A4 |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114664165A (zh) * | 2022-03-25 | 2022-06-24 | 北京智扬北方国际教育科技有限公司 | 一种新能源汽车热管理展示系统 |
| CN114664165B (zh) * | 2022-03-25 | 2023-07-28 | 北京智扬北方国际教育科技有限公司 | 一种新能源汽车热管理展示系统 |
| EP4282695A1 (en) * | 2022-05-26 | 2023-11-29 | HERE Global B.V. | Method and apparatus for providing a charging time window for an electric vehicle |
| CN115122959A (zh) * | 2022-07-22 | 2022-09-30 | 奇瑞新能源汽车股份有限公司 | 一种新能源汽车交流充电方法及系统 |
| CN119045573A (zh) * | 2024-08-19 | 2024-11-29 | 江门市尚才电器有限公司 | 一种用于锅具的加热设备恒温加热控制方法及相关装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111055722A (zh) | 2020-04-24 |
| US20220320872A1 (en) | 2022-10-06 |
| EP4067160A4 (en) | 2023-02-08 |
| EP4067160A1 (en) | 2022-10-05 |
| CN111055722B (zh) | 2023-11-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021121110A1 (zh) | 一种预估充电时间的方法,装置及存储介质 | |
| CN108172930B (zh) | 电池包冷却控制方法、装置和电池包 | |
| KR102911133B1 (ko) | 파워 배터리 충전 방법 및 배터리 관리 시스템 | |
| CN114335792A (zh) | 电池温度控制方法、装置、存储介质及计算机设备 | |
| CN107293821B (zh) | 动力电池热处理方法、装置及电动汽车 | |
| Chang et al. | Effects of reciprocating liquid flow battery thermal management system on thermal characteristics and uniformity of large lithium‐ion battery pack | |
| CN114179679B (zh) | 一种动力电池温度控制方法及相关设备 | |
| CN116872795A (zh) | 电池热管理方法、装置、车辆和存储介质 | |
| JP7570589B2 (ja) | 動力電池充電の方法及び電池管理システム | |
| CN114572060A (zh) | 电池包热管理方法、装置及车辆 | |
| CN115742865A (zh) | 基于行驶里程预测的电动汽车热管理方法和系统 | |
| CN119239398A (zh) | 电动汽车的冷却控制方法、冷却组件及汽车 | |
| CN117936993A (zh) | 一种应用于集装箱储能系统的热管理方法与系统 | |
| CN115189073A (zh) | 一种电池加热装置、加热策略选取方法及选取装置 | |
| CN116409213B (zh) | 基于电池快充的热管理控制方法、装置及电子设备 | |
| CN116424159A (zh) | 一种电池包的冷却方法、装置、车辆及存储介质 | |
| CN113415210B (zh) | 一种电池温度控制方法、装置及汽车 | |
| CN120396773A (zh) | 电池管理系统、控制方法及具有其的车辆 | |
| CN115742870A (zh) | 氢能混动汽车的动力电池加热方法、装置、介质和设备 | |
| CN115626088A (zh) | 一种充电电池包热管理控制方法、装置及存储介质 | |
| CN120716512A (zh) | 车辆的控制方法、装置和车辆 | |
| CN116552334B (zh) | 热管理方法和系统 | |
| WO2024260003A1 (zh) | 移动装置、充电控制方法以及芯片 | |
| CN118888914A (zh) | 热管理方法、装置和储能系统 | |
| CN117284157A (zh) | 动力电池的冷却控制方法和控制装置、存储介质、车辆 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 20901554 Country of ref document: EP Kind code of ref document: A1 |
|
| ENP | Entry into the national phase |
Ref document number: 2020901554 Country of ref document: EP Effective date: 20220627 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |