WO2019172692A1 - Dispositif et procédé permettant de prédire l'état de santé d'une batterie - Google Patents

Dispositif et procédé permettant de prédire l'état de santé d'une batterie Download PDF

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Publication number
WO2019172692A1
WO2019172692A1 PCT/KR2019/002681 KR2019002681W WO2019172692A1 WO 2019172692 A1 WO2019172692 A1 WO 2019172692A1 KR 2019002681 W KR2019002681 W KR 2019002681W WO 2019172692 A1 WO2019172692 A1 WO 2019172692A1
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Prior art keywords
ess
measured
capacity
reference voltage
charge
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Ceased
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PCT/KR2019/002681
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English (en)
Korean (ko)
Inventor
정대식
김지호
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LG Chem Ltd
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LG Chem Ltd
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Publication date
Priority claimed from KR1020190025819A external-priority patent/KR102291133B1/ko
Application filed by LG Chem Ltd filed Critical LG Chem Ltd
Priority to PL19763572.5T priority Critical patent/PL3712629T3/pl
Priority to CN201980006323.2A priority patent/CN111448469B/zh
Priority to JP2020549541A priority patent/JP7062198B2/ja
Priority to EP19763572.5A priority patent/EP3712629B1/fr
Priority to ES19763572T priority patent/ES2994685T3/es
Priority to US16/956,832 priority patent/US11307263B2/en
Publication of WO2019172692A1 publication Critical patent/WO2019172692A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • 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]
    • 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]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health

Definitions

  • the present invention proposes an apparatus and method capable of maintaining the reliability of life prediction while reducing the time required to predict the life of the ESS.
  • the present invention is to solve the problem that it takes a long time to obtain the data for predicting the life of the ESS of the prior art takes a long time to predict the life of the ESS.
  • the present invention provides an apparatus and method for dividing the capacity of an ESS into a plurality of capacity ranges to obtain charge / discharge cycle data of the ESS for each capacity range to predict the life of the ESS.
  • the capacity virtual division step may include a division range number setting step of setting the number of ranges to divide the total capacity of the measurement target ESS.
  • a range of the measured ESS is set based on an output voltage, and the divided range of the measured ESS may overlap (overlap) a range adjacent to each other by a predetermined range.
  • the charging and discharging cycle data of the actual ESS corresponding to each capacity range is repeated by repeatedly charging and discharging the actual ESS corresponding to each capacity range divided in the capacity virtual dividing step. It can be measured.
  • a first reference voltage setting step of setting a first reference voltage matching an upper limit capacity among respective capacitance ranges corresponding to the measured ESS, and each capacitance range corresponding to the measured ESS A second reference voltage setting step of setting a second reference voltage matched with a lower limit capacitor, an output voltage measuring step of measuring an output voltage of the measured ESS, and outputting the measured and measured first and second reference voltages of the ESS. It may be configured to include a charge and discharge determination step of determining the charge or discharge of the measured ESS according to the comparison step of comparing and the comparison result of the comparison step.
  • the charging / discharging determining step when the output voltage of the measured ESS is less than or equal to the first reference voltage as a result of the comparison, the charging is performed. When the output voltage of the measured ESS exceeds the first reference voltage, charging is performed. Stopping and discharging can be performed.
  • the discharge is stopped.
  • Charging can be performed.
  • the ESS life prediction step may include a first method of predicting the life of the ESS by simply adding up the charge / discharge cycle data for each capacity range measured in the charge / discharge cycle data measurement step for each capacity range, and charging / discharging for each capacity range.
  • the lifetime of the ESS may be predicted by any one or more of the third method of predicting the ESS life using a multiplicative probability of.
  • the analyzer may further include a virtual capacitance divider configured to virtually divide the capacitance of the ESS to be measured into two or more capacitance ranges, and a reference voltage setter configured to set a first reference voltage and a second reference voltage that match the divided capacitance ranges.
  • an ESS life predicting unit predicting the life of the ESS from the received charge / discharge cycle data, wherein the number of the plurality of measured ESSs may be equal to or greater than the number of capacity ranges divided by the virtual capacity dividing unit.
  • the analyzer may transmit and discharge a first reference voltage and a second reference voltage corresponding to the divided capacitance ranges to the plurality of measured ESSs to charge or discharge each measured ESS by repeating a charging or discharging process. Cycle data can be measured.
  • the virtual capacitance dividing unit is configured such that the virtually divided capacitance ranges overlap (overlap) with adjacent ranges by a predetermined range, and the first reference voltage is a value corresponding to an upper limit capacitance of each of the divided capacitance ranges.
  • the second reference voltage is a value corresponding to a lower limit of each of the divided capacitance ranges, and the first reference voltage may be greater than the second reference voltage.
  • the predicted ESS life predicting unit is a first method of predicting the life of the ESS by simply adding up the charge / discharge cycle data for each capacity range measured in each of the plurality of measured ESSs, and each capacity measured in each of the plurality of measured ESSs.
  • One or more of the third methods may predict the lifetime of the ESS.
  • the ESS life prediction apparatus may include a plurality of measured energy storage systems (ESSs) and an analyzer configured to measure and analyze charge / discharge cycle data from each of the plurality of measured ESSs.
  • ESSs measured energy storage systems
  • the analyzer may further include a virtual capacitance divider configured to virtually divide the capacitance of the ESS to be measured into two or more capacitance ranges, and a reference voltage setter configured to set a first reference voltage and a second reference voltage that match the divided capacitance ranges. And an ESS life predictor for predicting the life of the ESS from the received charge / discharge cycle data, wherein the number of two or more capacity ranges divided by the virtual capacity divider may be equal to or less than the measured ESS.
  • the analyzer may transmit and discharge a first reference voltage and a second reference voltage corresponding to the divided capacitance ranges to the plurality of measured ESSs to charge or discharge each measured ESS by repeating a charging or discharging process. Cycle data can be measured.
  • the virtual capacitance dividing unit is configured such that the virtually divided capacitance ranges overlap (overlap) with adjacent ranges by a predetermined range, and the first reference voltage is a value corresponding to an upper limit capacitance of each of the divided capacitance ranges.
  • the second reference voltage is a value corresponding to a lower limit of each of the divided capacitance ranges, and the first reference voltage may be greater than the second reference voltage.
  • Each of the plurality of measured ESSs may include a BSC for controlling charging and discharging of the measured ESSs.
  • the BSC When the initial output voltage of the measured ESS is equal to or less than a first reference voltage, the BSC performs charging until the output voltage of the measured ESS becomes a first reference voltage, and then the output voltage of the measured ESS is set to a first value. When the reference voltage is exceeded, charging is stopped and discharge is performed. When the initial output voltage of the measured ESS is greater than or equal to a second reference voltage, discharge is performed until the output voltage of the measured ESS becomes a second reference voltage. After that, when the output voltage of the measured ESS becomes less than the second reference voltage, the discharge may be stopped and charging may be performed.
  • the predicted ESS life predicting unit is a first method of predicting the life of the ESS by simply adding up the charge / discharge cycle data for each capacity range measured in each of the plurality of measured ESSs, and each capacity measured in each of the plurality of measured ESSs.
  • One or more of the third methods may predict the lifetime of the ESS.
  • the present invention can divide the capacity range of the ESS into several capacity ranges and can quickly collect charge and discharge cycle data of the ESS for each capacity range.
  • FIG. 1 is a flowchart according to an embodiment of the present invention.
  • FIG. 2 is a flowchart illustrating a procedure for charging and discharging an ESS only within a set capacity range according to an embodiment of the present invention.
  • FIG. 4 is a graph comparing a result of predicting the life of a measurement target ESS according to a procedure of an embodiment of the present invention and a result of predicting the life of the measurement target ESS in the related art.
  • FIG. 5 is a view showing an ESS life prediction apparatus according to an embodiment of the present invention.
  • first and second may be used to describe various components, but the components are not limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.
  • the terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise.
  • 1 is a flow chart showing the procedure of the present invention for solving the above-mentioned problem.
  • the present invention does not acquire or charge one discharge cycle by charging or discharging the entire ESS at a time, and virtually divides the entire capacity of the ESS to be measured to obtain charge / discharge cycle data for each divided range of the capacity of the ESS. We want to predict lifespan.
  • the capacity virtual dividing step of the present invention may be a step of virtually dividing the total capacity of the measurement target ESS into two or more, and may include a division number setting step of virtually dividing the total capacity of the measurement target ESS into a range. have.
  • the dividing number setting step is a step of setting virtually how many ranges the ESS total capacity to be measured is divided into.
  • each range may have a capacity range of 20.
  • the charge and discharge cycle data measured by the measured ESS may be capacity data of the measured ESS measured after charging and discharging within the divided capacity range each time.
  • a capacity retention ratio indicating a ratio of how much capacity the initial state is maintained is calculated, and the battery life can be predicted from the capacity retention ratio.
  • the reference capacity retention rate determined to be aging or replacement of the ESS is 10%
  • the calculated capacity retention rate falls below the reference capacity retention rate after 4,000 charge / discharge cycles
  • the life of the corresponding ESS is 4 It can be expected to be thousand charge and discharge.
  • the initial state capacity of each measured ESS is the initial state capacity of the divided range divided into each capacity range.
  • the capacity of the ESS decreases little by little due to the characteristics of the battery constituting the ESS.
  • the capacity of the ESS gradually decreases as described above, a problem may occur in that other devices powered by the ESS cannot be normally operated.
  • the life of the ESS can be predicted based on the charge / discharge cycle data including the capacity retention ratio, which is a result of comparing the capacity of the current ESS to the capacity in the initial state of the ESS, and can be reflected in the operation of the ESS.
  • the actual ESS for each capacitance range may be set such that the capacitance range of the actual ESS matches the divided capacitance range based on the output voltage of the actual ESS.
  • FIG. 2 is a flowchart illustrating a method of performing charging and discharging of the measured ESS within the range of 61 to 80 when the ESS having a total capacity range of 1 to 100 is divided into 5 portions.
  • the measured ESS which obtains the charge / discharge cycle data in the range of 61 to 80 has a first reference output voltage corresponding to 80 capacity of the measured ESS and 61 of the measured system.
  • the charging and discharging may be set only between the second reference output voltages corresponding to the capacitances.
  • the output voltage of the measured ESS is compared with the second reference voltage, and when the output voltage of the measured ESS is greater than or equal to a second reference voltage, discharge is continuously performed and the output of the measured ESS is output. If the voltage is less than the second reference output voltage, the discharge is stopped and charging is performed.
  • the output voltage of the measured ESS is compared with the first reference output voltage, and when the output voltage of the measured ESS is less than or equal to the first reference output voltage, charging is continued and the output of the measured ESS is performed. If the voltage exceeds the first reference output voltage, charging stops and discharge is performed again.
  • the measured ESS can be charged and discharged only within the range of 61 to 80.
  • charging / discharging cycle data measuring step for each range of the present invention charging / discharging cycle data is obtained while charging / discharging the measured ESS set for each capacity range.
  • the first measured ESS is set to perform charging and discharging only within a capacity range of 81 to 100 of the measurement target ESS, and in every charge and discharge cycle for a capacity range of 81 to 100 while charging and discharging the first measured ESS.
  • Measuring the capacity of the second ESS is set to perform the charging and discharging only within the capacity range of 61 to 80 of the measurement target ESS, the charge for the capacity range of 61 to 80 while charging and discharging the second measured ESS
  • the capacity in the discharge cycle is measured
  • the third measured ESS is set to perform charging and discharging only within the capacity range of 41 to 60 of the measurement target ESS, and in the capacity range of 41 to 60 while charging and discharging the third measured ESS.
  • the fourth measured ESS When the capacity is measured in every charge and discharge cycle, the fourth measured ESS is set to perform charge and discharge only within the capacity range of 21 to 40 of the measurement target ESS, and when the fourth measured ESS is charged and discharged, Measuring the capacity in every charge and discharge cycle for the capacity range of 21 to 40, and the fifth measured ESS is set to perform charge and discharge only within the range of 1 to 20 capacity of the ESS to be measured, and charge and discharge the fifth measured ESS.
  • the capacity at each charge and discharge cycle for the range of 1 to 20 can be measured.
  • the second measured ESS sets a first reference voltage matched with the upper limit capacitance 80 of the second measured ESS and a second reference voltage matched with the lower limit capacitance 61 of the second measured ESS. Can be.
  • the first reference output voltage is compared with the output voltage of the second measured ESS (S240).
  • the output voltage of the second measured ESS is less than or equal to the first reference voltage
  • charging is continued (S230).
  • the output voltage of the second measured ESS exceeds the first reference output voltage, charging is considered important.
  • Discharge is performed, and when the output voltage of the second measured ESS is greater than or equal to the second reference output voltage by comparing the second reference output voltage with the output voltage of the second measured ESS (S220), the discharge is continuously performed (S210).
  • the discharge of the second measured ESS is stopped and the charging is performed, whereby the second measured ESS is in the range of 61 to 80 capacity of the ESS to be measured.
  • the capacity in every charge and discharge cycle of the second measured ESS can be measured.
  • the ranges for virtually dividing the measurement target ESS are described so as not to overlap, but the ranges for virtually dividing the measurement target ESS may be partially overlapped (overlap).
  • the first measured ESS has a capacity range of 76 to 100
  • the second measured ESS has a capacity range of 56 to 80
  • the third measured ESS has a capacity range of 36 to 60
  • the fourth measured ESS has 16
  • the fifth measured ESS may be set to have a dose range of from 1 to 25.
  • the capacity range of the first to fifth measured ESS and the capacity measuring method in every charge / discharge cycle include the capacity of the first to fifth measured ESS when the ranges for virtually dividing the above-described measurement target ESS do not overlap. It can be carried out in the same manner as the method of setting the range and the method of measuring the capacity in every charge and discharge cycle.
  • FIG. 3 illustrates that each of the first to fifth measured ESSs is set to correspond to the divided five capacitance ranges according to an embodiment of the present invention. It is a result of a measurement.
  • the graph shown on the left is a graph showing charging and discharging of the first to fifth measured ESSs by dividing the measurement target ESS for each range, and the five graphs on the right show the first to fifth. It is a graph showing capacity retention rate measured in actual ESS.
  • the capacity range of the first to fifth measured ESSs is set to include all of the capacity of the measurement target ESS without measuring the capacity in the charge / discharge cycle for only a specific section, and thus the entire capacity range of the measurement target ESS. Measure the capacity in the charge and discharge cycle at.
  • the total life of the battery may be estimated based on the capacity in the charge / discharge cycle measured in the entire capacity range of the first to fifth measured ESS set as described above.
  • the ESS life prediction step of the present invention is a step of predicting the life of the measurement target ESS based on the charge / discharge cycle data measured in each of the plurality of measured ESSs set for each of the divided capacity ranges.
  • the present invention predicts the ESS life to be measured based on the charge / discharge cycle data measured in the measured ESS set for each of the divided capacity ranges by three methods.
  • the lifespan of the measurement target ESS may be predicted by simply summing charge and discharge cycle data measured in each of a plurality of measured ESSs set in each capacity range.
  • the lifetime of the ESS to be measured may be predicted by a multiplicative probability of the charge / discharge cycle data measured in each of the plurality of measured ESSs set in each capacity range.
  • FIG. 4 sets the charge / discharge ranges of the plurality of measured ESSs (first to fifth ESSs) to correspond to the divided capacitance ranges according to the procedure of the embodiment of the present invention, and measures the corresponding capacitance ranges. It is a graph comparing the life expectancy (prior art) of the measurement target ESS predicted while charging and discharging the measurement target ESS at a time based on the three methods based on the charge / discharge data of the ESS.
  • the life span of the measurement target ESS predicted while charging / discharging the measurement target ESS at one time (prior art) and within the error range of the result of predicting the life expectancy of the measurement target ESS according to the procedure of the present invention. Can be.
  • the time taken to obtain charge / discharge cycle data for the total capacity of the ESS to be measured decreases as the number of divisions dividing the total capacity of the ESS increases.
  • FIG. 5 is a diagram illustrating an ESS life prediction apparatus 1 according to a first embodiment of the present invention.
  • the ESS life prediction apparatus 1 is configured to analyze charge / discharge cycle data measured from each of a plurality of measured energy storage systems (ESS) 10 and the plurality of measured ESSs 10. It may be configured to include an analysis unit (100).
  • the number of the plurality of measured ESSs 10 is preferably equal to or greater than the number of capacity ranges divided by the virtual capacity divider 120 described later.
  • the number of actual ESSs that perform actual charge / discharge may be determined according to the number of capacity ranges that are virtually unlimited in the virtual capacity divider.
  • the analyzer 100 virtually divides the capacity of the ESS to be measured into two or more capacity ranges, a first reference voltage and a second matched to the divided capacity ranges. It may include a reference voltage setting unit 120 for setting a reference voltage and the ESS life prediction unit 130 for predicting the life of the ESS from the received charge and discharge cycle data.
  • the analyzer 100 transmits a first reference voltage and a second reference voltage matching the divided capacitance range to each of the plurality of measured ESSs, and then charges or discharges each measured ESS 10.
  • the charge and discharge cycle data for each divided capacity range may be measured repeatedly.
  • the virtual capacity dividing unit 110 may set the virtually divided capacity range to overlap (overlap) the adjacent range with a predetermined range.
  • the first reference voltage is a value corresponding to an upper limit capacitance of each divided capacitance range
  • the second reference voltage is a value corresponding to a lower limit capacitance of each divided capacitance range. Is greater than the second reference voltage.
  • Each of the plurality of measured ESSs 10 may include a BSC 11 that controls charging and discharging of the measured ESS 10.
  • the BSC performs charging until the output voltage of the actual ESS becomes a first reference voltage, and then outputs the output voltage of the actual ESS.
  • the first reference voltage is exceeded, charging is stopped and discharge is performed.
  • the initial output voltage of the measured ESS is greater than or equal to a second reference voltage
  • the output voltage of the measured ESS becomes a second reference voltage.
  • the measured ESS 10 may be controlled to stop the discharge and perform charging.
  • the plurality of measured ESSs 10 discharges the battery until the first reference voltage is discharged until the second reference voltage becomes the first reference voltage, Thereafter, the process of discharging may be repeatedly performed until the second reference voltage is reached, thereby measuring charge and discharge cycle data. That is, the BSC 11 may control the measured ESS to repeat the process of charging to the upper limit of charge and discharging to the lower limit of charge within the capacity range corresponding to each measured ESS.
  • the BSC 11 may transmit charge / discharge cycle data to the ESS life predictor.
  • the predicted ESS life prediction unit 130 is a first method for predicting the life of the ESS by simply adding up the charge and discharge cycle data for each capacity range measured in each of the plurality of measured ESS, the plurality of measured ESS A second method of predicting the ESS life by the harmonic sum of the charge and discharge cycle data for each capacity range measured in each, and using the multiplicative probability of the charge and discharge cycle data for each capacity range measured in each of the plurality of measured ESSs
  • the life expectancy of the ESS may be predicted by at least one of the third methods of predicting the life of the ESS.
  • the ESS life prediction apparatus 1 includes a plurality of measurement energy storage systems (ESS) 10 and an analysis unit for analyzing charge and discharge cycle data measured from each of the plurality of measurement ESS ( 100).
  • ESS measurement energy storage systems
  • the analyzer 100 virtually divides the capacity of the ESS to be measured into two or more capacity ranges, a first reference voltage and a second matched to the divided capacity ranges. It may include a reference voltage setting unit 120 for setting a reference voltage and the ESS life prediction unit 130 for predicting the life of the ESS from the received charge and discharge cycle data.
  • the analyzer 100 transmits a first reference voltage and a second reference voltage matching the divided capacitance range to each of the plurality of measured ESSs, and then divides each measured ESS by repeating the charging or discharging process.
  • the charge and discharge cycle data for each capacity range can be measured.
  • the number of capacity ranges divided by the virtual capacity dividing unit 110 may be equal to or less than the number of the measured ESSs.
  • the number of divided capacity ranges cannot exceed the number of measured ESSs in order to assign each capacity range to the measured ESS to actually charge and discharge the measured ESS.
  • the capacity range divided by the virtual capacity dividing unit 110 and allocated to each measured ESS may be the same as the number of the measured ESSs.
  • the capacity range of each measured ESS may be calculated based on Equation 1 below.
  • the virtual capacity dividing unit 110 may set the virtually divided capacity range to overlap (overlap) the adjacent range with a predetermined range.
  • the first reference voltage is a value corresponding to an upper limit capacitance of each divided capacitance range
  • the second reference voltage is a value corresponding to a lower limit capacitance of each divided capacitance range. Is greater than the second reference voltage.
  • each of the plurality of measured ESSs 10 may include a BSC 11 for controlling charging and discharging of the measured ESS 10.
  • the BSC performs charging until the output voltage of the actual ESS becomes a first reference voltage, and then outputs the output voltage of the actual ESS.
  • the first reference voltage is exceeded, charging is stopped and discharge is performed.
  • the initial output voltage of the measured ESS is greater than or equal to a second reference voltage
  • the output voltage of the measured ESS becomes a second reference voltage.
  • the measured ESS 10 may be controlled to stop the discharge and perform charging.
  • the plurality of measured ESSs 10 discharges the battery until the first reference voltage is discharged until the second reference voltage becomes the first reference voltage, Thereafter, the process of discharging may be repeatedly performed until the second reference voltage is reached, thereby measuring charge and discharge cycle data. That is, the BSC 11 may control the measured ESS to repeat the process of charging to the upper limit of charge and discharging to the lower limit of charge within the capacity range corresponding to each measured ESS.
  • the BSC 11 may transmit charge / discharge cycle data to the ESS life predictor.
  • the predicted ESS life prediction unit 130 is a first method for predicting the life of the ESS by simply adding up the charge and discharge cycle data for each capacity range measured in each of the plurality of measured ESS, the plurality of measured ESS A second method of predicting the ESS life by the harmonic sum of the charge and discharge cycle data for each capacity range measured in each, and using the multiplicative probability of the charge and discharge cycle data for each capacity range measured in each of the plurality of measured ESSs
  • the life expectancy of the ESS may be predicted by at least one of the third methods of predicting the life of the ESS.

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  • General Physics & Mathematics (AREA)
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Abstract

Selon un mode de réalisation, l'invention concerne un procédé permettant de prédire l'état de santé d'un ESS, lequel procédé peut comprendre : une étape de division de capacité virtuelle consistant à diviser virtuellement un ESS d'objet de mesure dont l'état de santé doit être prédit ; une étape de mesure de données de cycle de charge/décharge spécifique à une plage de capacité consistant à mesurer des données de cycle de charge/décharge de chaque ESS de mesure réel divisé en plages de capacité prédéfinies par l'étape de division de capacité virtuelle ; et une étape de prédiction d'état de santé d'ESS d'objet de mesure consistant à prédire l'état de santé de l'ESS d'objet de mesure sur la base des données de cycle de charge/décharge de chaque ESS de mesure réel mesuré par l'étape de mesure de données de cycle de charge/décharge spécifique à une plage de capacité.
PCT/KR2019/002681 2018-03-07 2019-03-07 Dispositif et procédé permettant de prédire l'état de santé d'une batterie Ceased WO2019172692A1 (fr)

Priority Applications (6)

Application Number Priority Date Filing Date Title
PL19763572.5T PL3712629T3 (pl) 2018-03-07 2019-03-07 Urządzenie do przewidywania stanu zdrowia akumulatora i sposób takiego przewidywania
CN201980006323.2A CN111448469B (zh) 2018-03-07 2019-03-07 预测电池的健康状态的装置和方法
JP2020549541A JP7062198B2 (ja) 2018-03-07 2019-03-07 バッテリーの寿命予測装置及び方法
EP19763572.5A EP3712629B1 (fr) 2018-03-07 2019-03-07 Dispositif et procédé permettant de prédire l'état de santé d'une batterie
ES19763572T ES2994685T3 (en) 2018-03-07 2019-03-07 Device and method for predicting state-of-health of battery
US16/956,832 US11307263B2 (en) 2018-03-07 2019-03-07 Device and method for predicting state-of-health of battery

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR20180027052 2018-03-07
KR10-2018-0027052 2018-03-07
KR1020190025819A KR102291133B1 (ko) 2018-03-07 2019-03-06 배터리 수명 예측 장치 및 방법
KR10-2019-0025819 2019-03-06

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113884930A (zh) * 2021-09-30 2022-01-04 国联汽车动力电池研究院有限责任公司 一种预测动力电池循环寿命及健康状态的方法
EP4428553A4 (fr) * 2022-06-20 2025-04-23 LG Energy Solution, Ltd. Appareil de diagnostic de batterie, procédé de diagnostic de batterie et système de diagnostic de batterie

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130089360A (ko) 2012-02-02 2013-08-12 주식회사 엘지화학 배터리의 수명 예측 방법 및 장치, 이를 이용한 배터리 관리 시스템
US20130241567A1 (en) * 2010-07-14 2013-09-19 Robert Bosch Gmbh Method for Determining the Life Expectancy of at least One Battery Cell, Battery comprising a Plurality of Battery Cells, and Motor Vehicle
KR101338348B1 (ko) * 2012-05-25 2013-12-06 주식회사 피엠그로우 배터리팩의 배터리 유닛 노후화 시스템 및 방법
KR20170045140A (ko) * 2015-10-16 2017-04-26 삼성전자주식회사 재구성 가능한 배터리 팩의 수명 예측을 위한 배터리 관리 시스템 및 재구성 가능한 배터리 팩의 수명 예측 방법
JP6238314B2 (ja) * 2015-02-26 2017-11-29 学校法人立命館 蓄電池劣化診断方法及び蓄電池劣化診断装置
KR20180005345A (ko) * 2016-07-06 2018-01-16 주식회사 엘지화학 Cc/cv 비율을 이용한 이차전지의 가용 용량 추정 장치

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130241567A1 (en) * 2010-07-14 2013-09-19 Robert Bosch Gmbh Method for Determining the Life Expectancy of at least One Battery Cell, Battery comprising a Plurality of Battery Cells, and Motor Vehicle
KR20130089360A (ko) 2012-02-02 2013-08-12 주식회사 엘지화학 배터리의 수명 예측 방법 및 장치, 이를 이용한 배터리 관리 시스템
KR101338348B1 (ko) * 2012-05-25 2013-12-06 주식회사 피엠그로우 배터리팩의 배터리 유닛 노후화 시스템 및 방법
JP6238314B2 (ja) * 2015-02-26 2017-11-29 学校法人立命館 蓄電池劣化診断方法及び蓄電池劣化診断装置
KR20170045140A (ko) * 2015-10-16 2017-04-26 삼성전자주식회사 재구성 가능한 배터리 팩의 수명 예측을 위한 배터리 관리 시스템 및 재구성 가능한 배터리 팩의 수명 예측 방법
KR20180005345A (ko) * 2016-07-06 2018-01-16 주식회사 엘지화학 Cc/cv 비율을 이용한 이차전지의 가용 용량 추정 장치

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3712629A4 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113884930A (zh) * 2021-09-30 2022-01-04 国联汽车动力电池研究院有限责任公司 一种预测动力电池循环寿命及健康状态的方法
EP4428553A4 (fr) * 2022-06-20 2025-04-23 LG Energy Solution, Ltd. Appareil de diagnostic de batterie, procédé de diagnostic de batterie et système de diagnostic de batterie
US12405314B2 (en) 2022-06-20 2025-09-02 Lg Energy Solution, Ltd. Battery diagnosis apparatus, battery diagnosis method and battery diagnosis system

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