WO2019063672A2 - Assistant personnel intelligent pour le ravitaillement en carburant - Google Patents

Assistant personnel intelligent pour le ravitaillement en carburant Download PDF

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Publication number
WO2019063672A2
WO2019063672A2 PCT/EP2018/076223 EP2018076223W WO2019063672A2 WO 2019063672 A2 WO2019063672 A2 WO 2019063672A2 EP 2018076223 W EP2018076223 W EP 2018076223W WO 2019063672 A2 WO2019063672 A2 WO 2019063672A2
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
data
future
tank
assistant
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
Application number
PCT/EP2018/076223
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German (de)
English (en)
Other versions
WO2019063672A3 (fr
Inventor
Stefan Grubwinkler
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Aumovio Germany GmbH
Original Assignee
Continental Automotive Technologies GmbH
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Continental Automotive Technologies GmbH filed Critical Continental Automotive Technologies GmbH
Publication of WO2019063672A2 publication Critical patent/WO2019063672A2/fr
Publication of WO2019063672A3 publication Critical patent/WO2019063672A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G01C21/36—Input/output arrangements for on-board computers
    • G01C21/3605—Destination input or retrieval
    • G01C21/3617—Destination input or retrieval using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G01C21/36—Input/output arrangements for on-board computers
    • G01C21/3679—Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Definitions

  • the invention relates to a tank assistant for a vehicle for determining a driver-specific time and location for a refueling operation, a route prediction system for a vehicle, a server for such a tank assistant, a vehicle with such a tank assistant, a mobile terminal with a tank assistant, a method for prediction a future route of a vehicle and a method for determining a time and a place for a refueling procedure, a pro ⁇ program element and a computer-readable medium.
  • the vehicle systems or the vehicle may be interfaced with other devices, such as a vehicle.
  • mobile devices or servers are connected to provide the user with additional functions, such as the reading of emails or certain APPs that can be used in the vehicle. This can be done inter alia by networked systems.
  • Vehicle can lead to increased user satisfaction, as the driving is comfortable.
  • a first aspect of the invention relates to a tank assistant.
  • This tank assistant has a sensor arrangement for detecting vehicle data or surroundings data, and a control unit.
  • the control unit is set up to predict or determine a future route of a vehicle on the basis of the acquired data of the sensor arrangement and to use this to determine a driver-specific point in time and location for a refueling operation.
  • control unit is adapted to determine a fah ⁇ rerindividuell convenient time and place for a fueling operation and to output a corresponding suggestion or recommendation via a suitable interface to the driver.
  • control unit of the tank assistant For the driver-individual determination of the point in time and the location of a refueling process by the tank assistant, several analyzes and predictions or predictions can be carried out by the control unit of the tank assistant.
  • the control unit can analyze the mobility behavior of the user, the fuel consumption of the vehicle or the current fuel price. Based on this analysis, the control unit may make a prediction, prediction or prediction for the future regarding the analyzed quantities, ie the future mobility behavior of the user, the future fuel consumption or the future fuel price.
  • the analysis or the prediction of the mobility behavior re ⁇ sultiert in a future route of the vehicle or the user which can be determined by the control unit of the tank wizard. Furthermore, it can be determined when the User will drive the future route, eg time and date.
  • the analysis of the mobility behavior of the user can take place from the recorded vehicle data or surroundings data, eg the trips made by the user.
  • the analysis can be done by the Tank Assistant's control panel, by a mobile terminal with the Tank Assistant, by a vehicle's control panel with the Tank Assistant, or by a server or back-end for the Tank Assistant.
  • Frequent stop positions and repeatedly traveling distances can be detected from the vehicle data or environment data with the aid of mathematical or statistical methods and / or machine learning methods, such as neural networks (cluster analysis, pattern recognition) (OD-matrix (Origin-Destination-Matrix)), For example, the place of residence, the place of work, the preferred supermarket, the gym, the kindergarten or the children's school can be recognized. This can also be done with a digital map, in which POIs (Points of Interest), such as schools or restaurants, are noted.
  • POIs Points of Interest
  • the future mobility behavior of the user can be determined, calculated, predicted or derived from these recorded vehicle data or environmental data. In other words, by the control unit, the future route of the vehicle or the user can be determined and when this route is driven. To analyze the mobility behavior of the user
  • GPS data, timestamp and vehicle speed are detected by the sensor array.
  • the sensor arrangement can detect corresponding consumption values of the vehicle, for example via the OBD interface in the vehicle, or the vehicle sends this information directly to the tank assistant.
  • a prediction or prediction of the future fuel consumption or the range can be carried out by the control unit. With the help of the determination, calculation or prediction of the future route of the vehicle can the required
  • Fuel taking into account the individual driving behavior of the user, are determined for the future route of the vehicle.
  • environmental data from external sources can be taken into account by the control unit, but also environment data acquired by the sensor arrangement.
  • the relevant environmental data for the determination of the fuel consumption on the future route or for the determination of the range may be among others the future or expected traffic volume, the future weather conditions, the average traffic speed or the slope on the future route.
  • the determination of the range of the current level of the fuel tank can go. This can be detected by the sensor arrangement, for example by a level sensor.
  • the user of the tank assistant in the refueling process can inform the refueling assistant of the refueled amount of fuel, for example via an input mask of a smartphone app.
  • the tank assistant's control unit may make a prediction or prediction of the fuel price at the gas stations located at the future route.
  • the future fuel price can be determined, calculated or predicted.
  • the daily course of the fuel price, the weekly course of fuel ⁇ price, the price of oil, the consideration of can regional price differences or the consideration of the price development of filling stations of the same supplier.
  • the fuel price can be predicted or predicted by a server or backend. This server can then send the relevant future fuel prices along the future route of the vehicle to the Tank Assistant.
  • the predictions or predictions described above may be performed by the Tank Assistant control unit. Furthermore, based on the forecasts or predictions that have been created, the control unit can determine the time and the location, ie the gas station, for each driver. This particular point in time and location may be optimized or adjusted for the user's time, schedule, price, and / or personal preferences. Alternatively or additionally ⁇ the user can specify some parameters for the tank wizards, such as the maximum detour between the future route and the gas station, the loss of time, the preferred day of the week, the preferred gas station chain, the maximum and minimum
  • the user can ignore or reject the times and locations determined by the Tank Assistant. This allows the Tank Assistant to take into account the preferences or preferences of the user when choosing the filling station and when determining the time and place of refueling. As benefits to the user may be a less frequent, lower
  • the tank assistant can be realized in a vehicle or on a mobile terminal.
  • the tank assistant can be a program or an APP.
  • the analysis of the individual driving behavior, the current mood or condition of the user (stress) can be detected. For example, a defensive driver can drive more athletically under the pressure of deadlines. This can also be taken into account when determining the time and place of refueling, if available
  • the Tan ⁇ assistant can determine the future route without navigation system, on the analysis of the mobility behavior of the user from his past trips. It should be noted that when a navigation system is used, the route calculated there may serve as the future route for the tank assistant.
  • future route of the vehicle or the user may also be several days in the future.
  • the Tank Assistant can detect that a user commutes 50km to work each day and undertakes trips of 300km at the weekend. Furthermore, the Tank Assistant can detect that the user does not favor a refueling operation on Monday morning. It follows that the tank assistant determines or proposes the Friday night homecoming from work as the time for refueling, and as a place a gas station along the path between work and place of residence of the user. Furthermore, the location or the gas station can be carried out using the current or the prior herereden ⁇ fuel price. In other words, the cheapest gas station on Friday night can be determined on the way home from work.
  • the tank assistant can distinguish between several different users from each other and driver-individual times and Determine locations for refueling for each of the users.
  • the tank assistant can also be used in several different vehicles.
  • the tank assistant is implemented in a mobile terminal, eg as an APP for a smartphone.
  • the tank assistant can beat the fueling operation as a specific interval before ⁇ , for example when the user is already driven for 4 hours.
  • the traffic safety can be increased without the user having a time disadvantage. Refueling at the destination requires the same time as refueling on the way there, but the traffic safety can be increased by the break.
  • the tank assistant can find out that a refueling process is required no later than Friday morning. Since the fuel price in the evening is generally lower than in the morning, the tank assistant recommends refueling the day before, ie on Thursday evening. By analyzing the personal user behavior, it can also be known that M has a regular appointment on Thursday after work and has repeatedly rejected refueling suggestions on Thursday at 6 pm. Thus, the tank assistant suggests the cheapest gas station on Thursday evening 19.30, which corresponds to the preferences of the user, along the route from the gym to the residence of the A before.
  • control unit is set up, based on the vehicle data, the conversion 0
  • control unit can the future
  • Determine fuel consumption or the range of the vehicle calculate or predict. This determination may in particular be based on the individual driving behavior of the user, for example if the user is a sporty driver, the fuel consumption may be higher than if the user is a defensive driver.
  • the fuel consumption which depends among other things on the current user or is influenced by it, can be essential for the determination of the future fuel consumption or the range.
  • control unit is further adapted to adjust the preferences of the user in determining the time and place of the user
  • the preferences of the utility include individual driving behavior and its preferred refueling station chain.
  • the preferred gas station chain may depend, for example, on existing fuel cards, a bonus program or other features.
  • the preferences of the user can also be understood as the user's individual daily, weekly or monthly schedule. In other words, it may be that the user does not favor fueling in the morning, so preferred fueling rather in the evenings or that the user has, for example, on Wednesday night for an appointment, for example, sport, hobby or Stammtisch, and thus the mid ⁇ woch evening for a refueling process for this user.
  • the Tank Assistant may also be the one rejected by the user Learn about these proposals and take them into account in future determinations of the timing and location of a refueling operation.
  • the preferences of each individual user can be taken into account by the tank wizard.
  • the first user of the tank assistant prefers a refueling in the morning and the second user of the tank assistant a refueling in the evening.
  • the environment data includes the position, the route, the trajectory or the driving behavior of the user.
  • the sensor arrangement can have a plurality of sensors, for example a GPS module for detecting the current position of the tank assistant, a navigation system for determining the current route of the vehicle, or radar, lidar or ultrasound sensors and a camera or a laser scanner for determination the lane, the trajectory or the individual driving behavior of the user.
  • a GPS module for detecting the current position of the tank assistant
  • a navigation system for determining the current route of the vehicle
  • lidar or ultrasound sensors and a camera or a laser scanner for determination the lane, the trajectory or the individual driving behavior of the user.
  • a camera or a laser scanner for determination the lane, the trajectory or the individual driving behavior of the user.
  • accelerator pedal data or brake pedal data can be incorporated.
  • the available gas stations along the future route of the vehicle may be included in the digital maps of the vehicle
  • digital maps or “digital map data” is also understood to mean maps for advanced driver assistance systems (ADAS) without navigation.
  • ADAS advanced driver assistance systems
  • GPS is representative of all globals Navigation Satellite Systems (GNSS) is such as GPS, Ga ⁇ lileo, GLONASS (US), Compass (China) or IRNSS (India)
  • GNSS globals Navigation Satellite Systems
  • the position of the vehicle can also be determined by cell positioning. This is particularly useful when using GSM, 3G, LTE, 4G, 5G or UMTS networks.
  • the vehicle data includes the current fuel consumption or the tank contents.
  • the sensor arrangement can detect the current fuel consumption and the current tank contents, for example by level of the consumption sensors. Alternatively or additionally, this information may be provided directly by the vehicle, e.g. via the OBD interface or a direct connection to the tank assistant.
  • the tank assistant further comprises a communication device for receiving data from a server.
  • the data of the server received by the communication device includes the current fuel price or the future price of fuel at a particular gas station, preferably the gas station along the future or predicted route of the vehicle.
  • the reception of the data from the server can in particular be wireless.
  • the wireless transmission or the wireless reception of data may be via Bluetooth, WLAN (eg WLAN 802.1 la / b / g / n or WLAN 802.11p), ZigBee or WiMax or even cellular radio systems such as GPRS, UMTS, 3G, 4G, 5G or LTE. It is also the use of other transmission protocols possible.
  • the mentioned protocols offer the advantage of already existing standardization.
  • Another aspect of the invention relates to a server for a described above and below tank assistants, wherein the server is configured to send data to the commu ⁇ nikations Rhein the tank assistants, in particular data relating to the future fuel price. Further, the server is configured to determine the future fuel price based on past and current fuel prices using mathematical or statistical methods.
  • the server can centrally collect or manage data. In particular, this may include the fuel prices along the future route of the vehicle. From the past fuel prices, the server can determine, calculate or predict future fuel prices. This can be done by machine
  • the server may determine the current traffic along the future route of the vehicle. For example, the Tank Assistant can predict that the user will be in a traffic jam for 10 minutes, based on which the Tank Assistant can determine a time and location for the refueling process, thus minimizing the time lost to the user. In other words, the user can carry out the refueling process during the stagnation phase, because he does not move through the congestion anyway. Furthermore, thus, the flow of traffic can be increased and thereby the environmental impact can be reduced as targeted users are asked to refuel. This can also be done by the server and sent to the communication facility of the tank wizard. Alternatively or additionally, the Tank Assistant can send data or information to the server so that the server can learn and thus improve the prediction. The server can also provide updates to the tank wizard with improved evaluation. In other words, bidirectional data exchange between the tank wizard and the server is possible.
  • Another aspect of the invention relates to a vehicle having a tank assistant described above and below.
  • the vehicle is, for example, a
  • Another aspect of the invention relates to a mobile terminal with a Tankas ⁇ sistenten described above and below.
  • a mobile terminal in this specification can be a smartphone, a tablet, a smart watch, a PDA, a mobile phone ⁇ , a wearable device or a notebook.
  • the tank assistant can be realized as an APP on the mobile terminal.
  • the mobile terminal can record a connection (wireless or wired) to the vehicle, for example via Bluetooth, or via a
  • OBD module at the OBD interface of the vehicle to capture vehicle data ⁇ .
  • offers the mobile device as this is typically always carried by the user and thus also while driving with a vehicle is available.
  • the tank assistant can be used on the mobile terminal if the user uses several different vehicles or if several users use a vehicle.
  • an OBD module sends the vehicle data to the mobile terminal.
  • the OBD module can be plugged into the OBD interface of the vehicle. Furthermore, the OBD module can be wireless
  • the OBD module can record vehicle data such as mileage, average speed, fuel tank, current range, current fuel consumption or
  • the OBD module can have a GPS module, which records the driven routes of the vehicle and transmits them to the mobile terminal.
  • Another aspect of the invention relates to a method for determining a point in time and a location for a tank ⁇ process.
  • the method comprises the following steps:
  • the individual steps of the method can be carried out in parallel or sequentially. Furthermore, the order of the individual steps can be changed. Furthermore, between the individual steps can also be a longer period of time.
  • a driver-individually favorable time and place for a refueling operation is determined and a corresponding proposal or recommendation issued to the driver via an appropriate interface.
  • the method of determining a time and location for a refueling operation according to the invention includes the step of predicting a future route of the vehicle.
  • a method of predicting a future route of a vehicle is another independent aspect of the invention. Preferably, it comprises the steps:
  • the prediction of the future mobility behavior may preferably also include the prediction of several future driven routes and the times at which they are driven. How can been also described above preferably on the basis of the detected vehicle data and environmental data using mathematical methods, statistical methods and / or machine learning methods frequent stop positions and / or repeated traffic routes are identified and for the prediction of future mobility behavior and the pros ⁇ forecasting a future route of the vehicle.
  • the vehicle data and environment data detected preferably comprise GPS data, time stamp and / orggyge ⁇ speeds of drives of the vehicle.
  • the analysis and prognosis of the mobility behavior according to the method described above for predicting a future route of the vehicle can be done for example by a control unit or a mobile terminal of a tank assistant or by a server.
  • a route prediction system for carrying out a method for predicting a future route of a vehicle is a further aspect of the invention. It includes a sensor arrangement for detecting vehicle data and / or environment data and a control unit that is adapted to analyze based on the acquired data a mobility behavior, and predict a future mobility behavior, and particularly a too ⁇ future route of the vehicle.
  • a further aspect of the invention relates to a program element which, when executed on a control unit of a tank assistant, instructs the tank assistant to execute one of the preceding and following described methods.
  • Another aspect of this invention relates to a computer-readable medium having stored thereon a program element that directs the control unit of a tank assistant to perform the methods previously described and described below.
  • Fig. 1 shows a block diagram of a tank assistant according to an embodiment of the invention.
  • Fig. 2 shows a schematic representation of a vehicle with a tank assistant according to an embodiment of the invention.
  • Fig. 3 shows a schematic representation of a mobile
  • Fig. 4 shows a schematic representation of a mobile
  • FIG. 5 shows a flowchart for a method for determining a time and a place for one
  • FIG. 1 shows a block diagram of a tank assistant 10 for a vehicle.
  • This tank assistant 10 has a control unit 11, a sensor arrangement 13 and a communication device 12.
  • the sensor arrangement 13 is adapted to detect vehicle data or environmental data. In particular, the driven routes, the current position of the tank assistant 10, the driving behavior of the user, the current fuel consumption and the current tank contents detected by the sensor assembly 13.
  • the sensor arrangement 13 may comprise laser scanners, GPS, lidar, radar or ultrasound sensors.
  • a camera, a fill level sensor or a consumption sensor may also be present in the sensor arrangement 13.
  • the communication device 12 is configured to communicate with a server or to receive data from a vehicle or an OBD module in the vehicle.
  • control unit 11 may determine, calculate or predict the future route of the vehicle and when it is driven by the user (date and time). Further, the control unit 11 can determine the future ⁇ fuel consumption and range. From the future route and the future fuel consumption or the
  • the controller 11 can determine a driver-specific time and place for a refueling operation.
  • This driver-specific time and place is characterized by the fact that it is adapted to the individual requirements of the user.
  • the location or the filling station can lie along the route to be traveled by the user (no detour necessary), furthermore the fuel price can be low and the time can fit into the daily planning or weekly planning of the user (he does not have to fill up during periods of stress, but if he has the time).
  • the tank assistant 10 can optimize the refueling process for the user without the user having to intervene.
  • Fig. 2 shows a schematic representation of a vehicle 20 with a described above and below tank assistants ⁇ tenten 10.
  • the components of the tank assistant 10 can in this case be integrated in the vehicle 20.
  • the tank assistant 10 can access sensors installed in the vehicle and / or information such as the current fuel consumption or the tank contents
  • Fig. 3 shows a schematic representation of a mobile terminal 30 with a previously written and subsequently be ⁇ tank wizard 10.
  • the mobile terminal 30 is preferably located near the user, and this also while the user is moving with a vehicle.
  • the built-in mobile terminal 30 sensors can serve, such as a GPS sensor.
  • the mobile terminal 30 may receive vehicle data via an OBD module, for example.
  • the mobile terminal 30 can connect wirelessly or by wire to the OBD module.
  • the tank assistant 10 can be executed on a mobile terminal 30 as a program or as an APP.
  • the mobile terminal 30 may also be in communication with a server to receive data.
  • data about the current or the future fuel price of the filling stations can be exchanged with the server.
  • the mobile terminal 30 may itself determine the future fuel price from the past fuel prices.
  • the tank assistant may also be partially present on the vehicle and the mobile terminal 30, so that the vehicle and the mobile terminal 30 exchange data to determine therefrom the driver-specific time and place for a refueling operation.
  • the server 40 is represented here as a cloud, which can receive data from the vehicle 20 and the mobile terminal 30 and can also send data to them. Further, the server 40 may collect information about the fuel price. Furthermore, the server 40 can be set up for this to determine, calculate or predict future fuel prices from past fuel prices at a particular gas station. The server can use 40 or mathematical sta ⁇ tistical methods for this determination, calculation or prediction, also this machine learning and neural networks can be used. Furthermore, the determination, calculation or prediction of the future fuel price may include the time, the date, the season, the current oil price or the day of the week.
  • step S1 vehicle data or environment data are detected by a sensor arrangement.
  • step S2 the prediction of a future route of the vehicle takes place based on the detected vehicle data or environmental data of the sensor arrangement.
  • step S3 the driver-specific time and location, based on the future route, are determined for a refueling process.

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Navigation (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un assistant personnel intelligent (10) pour le ravitaillement en carburant. Cet assistant de ravitaillement (10) comprend un ensemble capteur (13), destiné à acquérir des données d'un véhicule ou de son environnement, et une unité de commande (11). L'unité de commande (11) est conçue pour prédire, sur la base des données acquises par l'ensemble capteur (13), un itinéraire futur d'un véhicule (20) et pour déterminer, à partir de celui-ci, un moment et un lieu propices à une opération de ravitaillement pour le conducteur. L'invention concerne également un procédé et un système de prédiction d'un itinéraire futur d'un véhicule.
PCT/EP2018/076223 2017-09-27 2018-09-27 Assistant personnel intelligent pour le ravitaillement en carburant Ceased WO2019063672A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017217202.9 2017-09-27
DE102017217202.9A DE102017217202A1 (de) 2017-09-27 2017-09-27 Persönlicher intelligenter Tankassistent

Publications (2)

Publication Number Publication Date
WO2019063672A2 true WO2019063672A2 (fr) 2019-04-04
WO2019063672A3 WO2019063672A3 (fr) 2019-07-11

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WO (1) WO2019063672A2 (fr)

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CN113919887A (zh) * 2021-11-12 2022-01-11 湖南高至科技有限公司 一种加油站油品储备量预测的方法和系统
CN115515110A (zh) * 2022-09-15 2022-12-23 Oppo广东移动通信有限公司 油量提醒方法、装置、芯片及电子设备

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