WO2016041157A1 - Procédé de gestion de véhicules électriques et système de gestion associé - Google Patents

Procédé de gestion de véhicules électriques et système de gestion associé Download PDF

Info

Publication number
WO2016041157A1
WO2016041157A1 PCT/CN2014/086706 CN2014086706W WO2016041157A1 WO 2016041157 A1 WO2016041157 A1 WO 2016041157A1 CN 2014086706 W CN2014086706 W CN 2014086706W WO 2016041157 A1 WO2016041157 A1 WO 2016041157A1
Authority
WO
WIPO (PCT)
Prior art keywords
electric vehicle
data information
battery
management system
emergency
Prior art date
Application number
PCT/CN2014/086706
Other languages
English (en)
Chinese (zh)
Inventor
张新河
毛文峰
龙志新
唐致远
李中延
郑新宇
丁玉茹
汤春微
Original Assignee
东莞市迈科新能源有限公司
东莞市迈科科技有限公司
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 东莞市迈科新能源有限公司, 东莞市迈科科技有限公司 filed Critical 东莞市迈科新能源有限公司
Priority to PCT/CN2014/086706 priority Critical patent/WO2016041157A1/fr
Publication of WO2016041157A1 publication Critical patent/WO2016041157A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • 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
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12—Remote or cooperative charging

Definitions

  • the invention relates to the technical field of electric vehicle management, and more particularly to an electric vehicle management method and a management system thereof.
  • electric vehicles As a new type of transportation vehicle, electric vehicles have incomparable advantages in mitigating energy crisis and promoting harmonious development of environment and human beings. They are effective carriers to promote the transformation of transportation development mode.
  • electric vehicles are vehicles that use batteries as the source of energy storage. Because the limited battery capacity limits the mileage and usage time of electric vehicles, the construction of charging facilities for electric vehicles is particularly important. However, at present, the basic charging facilities for electric vehicles are insufficient, charging piles, charging stations, maintenance centers, etc. are seriously lacking, and electric vehicles cannot be charged or replaced in time, thus causing great inconvenience to the users and serious Affected the promotion of electric vehicles.
  • the object of the present invention is to provide an electric vehicle management method for real-time monitoring of various state indicators of electric vehicles in an operation area, thereby ensuring timely charging or replacing electric vehicles, thereby realizing remote dynamic management of electric vehicles. To bring convenience to users and accelerate the promotion of electric vehicles.
  • Another object of the present invention is to provide an electric vehicle management system capable of real-time monitoring various state indicators of electric vehicles in an operating area, thereby ensuring timely charging or replacing electric vehicles to realize electric vehicles.
  • the remote dynamic management brings convenience to users and speeds up the promotion of electric vehicles.
  • an electric vehicle management method including:
  • the dynamic management system collects data information and characteristic parameters of all electric vehicles to simulate and calculate electric The SOC of the vehicle's battery and the predicted travelable time and travelable distance of the electric vehicle;
  • the dynamic management system transmits the SOC of the battery, the remaining travelable time, the travelable distance, and the encrypted data information and characteristic parameters to the service system;
  • the service system analyzes the fault of the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feeds the analysis result to the dynamic management system;
  • the dynamic management system determines the nearest emergency network point from the electric vehicle based on the analysis result, the data information and the characteristic parameters and all the network information of the emergency support system, and feeds the emergency network point to the service system, wherein all the network information of the emergency protection system is stored in the service.
  • the database of the system In the database of the system;
  • the service system provides real-time service to the electric vehicle according to the emergency support service vehicle of the emergency network to mobilize the emergency support system.
  • the dynamic management system is first used to collect data information and characteristic parameters of all electric vehicles in the operating area, to simulate and calculate the SOC of the electric vehicle battery and predict the remaining travel time of the electric vehicle. And the travel distance, and then send the SOC of the battery, the remaining travel time, the travelable distance and the encrypted data information and characteristic parameters to the service system, and the service system according to the travelable distance and the decrypted data information and characteristics.
  • the parameters are analyzed for faults of the electric vehicle, and the analysis results are fed back to the dynamic management system.
  • the dynamic management system determines the nearest emergency outlets from the electric vehicles based on the analysis results, data information and characteristic parameters, and all the network information of the emergency support system.
  • the service system provides real-time service to the electric vehicle according to the emergency support service vehicle of the emergency network to mobilize the emergency support system; that is, the electric vehicle management method of the invention realizes real-time monitoring of various state indicators of the electric vehicle in the operating area, and ensures timely Service the electric vehicle (charging or changing power) to achieve Dynamic management of remote electric vehicles, to bring users the convenience and speed up the promotion of electric vehicles.
  • the dynamic management system, the service system, the emergency support system and the electric vehicle involved in the method can automatically perform information exchange, analysis processing and closed-loop control at any time, in the dynamic management system, the service system and the emergency support system.
  • the data information and characteristic parameters include an ID of the electric vehicle, a battery voltage, a battery current, a battery temperature, a current traveling speed of the battery, a current acceleration of the electric vehicle, an ambient temperature, an environmental humidity, a remaining battery capacity, and a current position of the electric vehicle.
  • predicting the remaining travelable distance of the electric vehicle specifically includes:
  • the generated fixed identification code and the remaining data information and characteristic parameters other than the ID of the electric vehicle are transmitted to the service system.
  • the identification code stored in the database of the calling service system is compared with the fixed identification code generated according to the electric vehicle ID;
  • the data information and the characteristic parameters are received according to the comparison result.
  • the analysis results include charging or changing power.
  • the dynamic management system determines, according to the analysis result, the data information, the characteristic parameter, and all the network information of the emergency support system, the emergency network point closest to the electric vehicle specifically includes:
  • the dynamic management system performs an incremental circle radius scan according to the current position of the electric vehicle to obtain one or more outlet points of the emergency support system, wherein the incremental circle radius is 100 meters;
  • the reachable path Kn between the plurality of outlets and the electric vehicle is calculated according to the coordinates of the outlet, the coordinates of the electric vehicle, and the traffic map data, and the shortest reachable path Kx is determined according to the reachable path Kn. .
  • the dynamic management system collects data information and characteristic parameters through a plurality of sensors installed in the electric vehicle.
  • the senor includes a temperature sensor, a humidity sensor, a current sensor, a voltage sensor, a speed sensor, and an acceleration sensor.
  • an electric vehicle management system comprising:
  • the dynamic management system is configured to collect data information and characteristic parameters of all electric vehicles to simulate and calculate the SOC of the battery of the electric vehicle and predict the remaining travel time and the travelable distance of the electric vehicle, and send the SOC of the battery, and the remaining Driving time, driving distance and encrypted data information and characteristic parameters;
  • the service system communicates with the dynamic management system, and is used for fault analysis of the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feeds the analysis result to the dynamic management system, and the dynamic management system according to the analysis result and the data Information and characteristic parameters and all network information of the emergency support system determine the emergency network closest to the electric vehicle, and feed the emergency network to the service system, wherein all the network information of the emergency support system is stored in the database of the service system;
  • the emergency support system communicates with the service system and is used by the service system to be mobilized according to the emergency network to perform real-time service on the electric vehicle.
  • the electric vehicle management system of the present invention first adopts a dynamic management system to collect data information and characteristic parameters of all electric vehicles in the operating area to simulate and calculate the SOC of the electric vehicle battery and predict the remaining electric vehicle.
  • the travel time and the travelable distance and then send the SOC of the battery, the remaining travel time, the travelable distance and the encrypted data information and characteristic parameters to the service system, and the service system is based on the travelable distance and the decrypted
  • the data information and characteristic parameters are used to analyze the fault of the electric vehicle, and the analysis result is fed back to the dynamic management system.
  • the dynamic management system determines the nearest to the electric vehicle based on the analysis result, the data information and the characteristic parameters and all the network information of the emergency support system.
  • the emergency network the last service system provides real-time service to the electric vehicle according to the emergency support service vehicle of the emergency network to mobilize the emergency support system; that is, the electric vehicle management method of the invention realizes real-time monitoring of various state indicators of the electric vehicle in the operating area To ensure timely service of electric vehicles (charging Or change the power), realize the remote dynamic management of the electric vehicle, bring convenience to the user and accelerate the promotion of the electric vehicle.
  • the dynamic management system, the service system, the emergency support system and the electric vehicle involved in the method can automatically perform information exchange, analysis processing and closed-loop control at any time, in the dynamic management system, the service system and the emergency support system.
  • the dynamic management system specifically includes:
  • the acquisition module is connected to a plurality of sensors installed in the electric vehicle for collecting data information and characteristic parameters;
  • the simulation calculation module is connected with the acquisition module, and is used for simulating and calculating the SOC of the battery of the electric vehicle and predicting the remaining travel time and the travelable distance of the electric vehicle;
  • the encryption module is connected to the acquisition module, and is configured to process the 16-bit identification code in the ID of the electric vehicle by using a CRC16 or SHA-1 encryption algorithm to generate a fixed identification code;
  • a determining module connected to the collecting module, for determining an emergency network point closest to the electric vehicle according to the analysis result, the data information, the characteristic parameter, and all the network information of the emergency support system;
  • the first communication module is connected with the acquisition module, the analog calculation module, the encryption module and the determination module, and is configured to send the SOC of the battery, the remaining travel time, the travelable distance, the encrypted data information and the characteristic parameters, and the emergency network. To the service system.
  • the service system specifically includes:
  • the second communication module is in communication with the first communication module, and is configured to receive the SOC of the battery sent by the dynamic management system, the remaining travelable time, the travelable distance, the encrypted data information, the characteristic parameter analysis result, and the emergency Network point
  • a database for storing all network information and identification codes of the emergency support system
  • the decryption module is connected to the first communication module and the database, and is configured to compare the identifier stored in the database with a fixed identifier generated according to the electric vehicle ID, and receive the data according to the comparison result.
  • Information and characteristic parameters are connected to the first communication module and the database, and is configured to compare the identifier stored in the database with a fixed identifier generated according to the electric vehicle ID, and receive the data according to the comparison result.
  • An analysis module is connected to the decryption module, configured to perform fault analysis on the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feed back the analysis result to the dynamic management system .
  • FIG. 1 is a flow chart of a method for managing an electric vehicle of the present invention.
  • FIG. 2 is a structural block diagram of an electric vehicle management system of the present invention.
  • the electric vehicle management method and system thereof of the present invention relate to an overall operation mode of an electric vehicle, that is, a regional operation.
  • the overall operation mode of the electric vehicle including a plurality of operating areas that communicate with each other, data sharing between different operating areas, and when the electric vehicles are operated across regions, all data of the user can be automatically transferred to the current electric vehicle.
  • a plurality of dynamic management systems, a plurality of service systems, and an emergency support system composed of a plurality of emergency support service vehicles are used for communication using a high-speed communication 4G network.
  • a plurality of dynamic management systems are connected with various types of sensors on all electric vehicles in the operating area to collect data information and characteristic parameters.
  • Multiple service systems are multiple 6S experience stores, multiple 6S experience stores share databases, communicate with each other, and usually one of the 6S experience stores will be built into a large data center (cloud center) to facilitate Management and data backup for other 6S experience stores in the operating area.
  • the user can also intervene in the dynamic management system, send a rescue order to the 6S experience store, and request the 6S experience store to transfer the rescue service from the nearest emergency support service vehicle.
  • the service system has the following basic functions: (1) vehicle sales, spare parts sales, after-sales service, information processing and control, personalized car sales and substrate bidding; (2) battery service module can charge and discharge the battery, Battery replacement, battery failure detection, etc.; (3) can store and read data from the dynamic management system and emergency support system; (4) can communicate with electric vehicles, dynamic management systems and emergency support systems within a specific range .
  • the service system can also analyze and diagnose the battery replaced by the user and maintain the battery to ensure the safety and reliability of the battery.
  • the analysis and diagnosis process for the battery is:
  • detection read error is greater than 128 times, first-level alarm, 256-degree secondary alarm and recommended detection.
  • the emergency support service vehicle is designed to load a large number of battery standard modules and their combined energy storage stacks. Under the command of the system, they can go to designated locations to provide power exchange, charging or on-site for emergency fault vehicles. Maintenance services, etc.; and the car provides a variety of standard charging interfaces and protocols for electric vehicles, which can provide services for a variety of standard and standard electric vehicles and owners.
  • the electric vehicle management method of the present invention includes:
  • the dynamic management system collects data information and characteristic parameters of all electric vehicles to simulate and calculate the SOC of the battery of the electric vehicle and predict the remaining travelable time and the travelable distance of the electric vehicle.
  • the data information and characteristic parameters include the ID of the electric vehicle, the battery voltage, the battery current, the battery temperature, the current running speed of the battery, the current acceleration of the electric vehicle, the ambient temperature, the ambient humidity, the remaining capacity of the battery, and the current position of the electric vehicle.
  • SOH indicates the state of health of the battery (State of health, related to the number of failures of the battery, temperature, number of cycles or number of aging, etc., there is no clear formula, such as for some kind
  • SOH Fun(error_cnt,,Ri Age,cap,), which will affect the travel time
  • SOH directly affects the capacity of the battery, which in turn affects the driving Time
  • the amount will be weighted according to the SOH. For example, after 100 cycles of the battery, the calculated capacity is 200Ah.
  • the dynamic management system collects the data information and characteristic parameters through a plurality of sensors installed in the electric vehicle, wherein the sensors include a temperature sensor, a humidity sensor, a current sensor, a voltage sensor, a speed sensor, and an acceleration sensor.
  • the dynamic management system sends the SOC of the battery, the remaining travelable time, the travelable distance, and the encrypted data information and characteristic parameters to the service system.
  • the electric vehicle adopts a 64-bit ID, and has a special 16-bit identification code, where the 16-bit identification code in the ID of the electric vehicle is processed by a CRC16 or SHA-1 encryption algorithm to generate a fixed identification code. Then, the generated fixed identification code and the remaining data information and characteristic parameters other than the ID of the electric vehicle are transmitted to the service system.
  • the command information completes all parameter encryption. If the data information is relatively large, the data is encrypted in the form of paging/frame, and the information is combined according to the information after decoding.
  • the service system analyzes the fault of the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feeds the analysis result to the dynamic management system. Specifically, a plurality of identification codes are stored in the database of the service system, and when the service system decrypts the data from the dynamic management system, the identification code stored in the database is called and compared with the fixed identification code generated according to the electric vehicle ID. And screening, if the comparison and screening find that a fixed identification code generated according to the electric vehicle ID is found in the database, it indicates that the relevant vehicle model is recognized, and subsequent data (ie, data information and characteristic parameters) will be received and It is checked.
  • the obtained analysis result includes charging or changing power.
  • the state analysis is as follows: 1) the data center is based on the battery state, such as the battery capacity is less than 30%, reminding that the nearest charging station can be recharged, or the battery cannot support the latest. The charging station can be charged by the nearest support vehicle; 2) the battery is seriously unbalanced (cell maximum-minimum pressure difference >500mV), or some of the battery temperature is high, or according to the data sent back by the electric vehicle, the electricity is obtained. If the temperature of the core rises too fast, the vehicle can be replaced by a nearby vehicle to achieve consistent, good, reliable and safe operation.
  • the dynamic management system determines an emergency network point closest to the electric vehicle according to the analysis result, the data information, the characteristic parameter, and all the network point information of the emergency support system, and feeds the emergency network point to the service system, wherein all the network information storage of the emergency protection system is performed. In the database of the service system, and the location of the network information is fixed.
  • the electric vehicle has a GPS function
  • the dynamic management system acquires the current position of the electric vehicle, and performs a 100-meter incremental circular radius scan according to the current position of the electric vehicle to obtain one or more outlet points of the emergency support system; if only one is found during the scanning
  • the network point is when it is the nearest network point; if there are multiple network points when scanning, the distance path Kn between the plurality of network points and the electric vehicle is calculated according to the coordinates of the network point, the coordinates of the electric vehicle and the traffic map data.
  • the data center calculates the route Kn from the network point based on the traffic map data, and obtains the shortest reachable path Kx, which is the nearest network point.
  • the service system provides real-time service to the electric vehicle according to the emergency support service vehicle of the emergency network to mobilize the emergency support system, wherein the real-time service is mainly charging, changing power and on-site maintenance.
  • the present invention also provides an electric vehicle management system, as shown in FIG. 2, the system includes:
  • the dynamic management system 100 is configured to collect data information and characteristic parameters of all electric vehicles to simulate and calculate the SOC of the battery of the electric vehicle and predict the remaining travel time and the travelable distance of the electric vehicle, and send the SOC of the battery, and the remaining Travelable time, travelable distance and encrypted data information and characteristic parameters;
  • the service system 200 communicates with the dynamic management system 100, and is configured to perform fault analysis on the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feed back the analysis result to the dynamic management system, and the dynamic management system according to the analysis result , data information and characteristic parameters and all the network information of the emergency support system determine the emergency network nearest to the electric vehicle, and feed the emergency network to the service system, wherein all the network information of the emergency support system is stored in the database of the service system;
  • the emergency support system 300 communicates with the service system 200 for being mobilized by the service system 200 according to the emergency network to perform real-time service on the electric vehicle.
  • the dynamic management system 100 specifically includes:
  • the acquisition module 10 is connected to a plurality of sensors mounted on the electric vehicle for collecting data information and characteristic parameters; wherein the sensor comprises a temperature sensor, a humidity sensor, a current sensor, a voltage sensor, a speed sensor and an acceleration sensor; data information and characteristics
  • the parameters include the ID of the electric vehicle, the battery voltage, the battery current, the battery temperature, the current running speed of the battery, the current acceleration of the electric vehicle, the ambient temperature, the ambient humidity, the remaining capacity of the battery, and the current position of the electric vehicle;
  • the encryption module 14 is connected to the acquisition module 10 and configured to process the 16-bit identification code in the ID of the electric vehicle by using a CRC16 or SHA-1 encryption algorithm to generate a fixed identification code;
  • the determining module 16 is connected to the collecting module 10, and is configured to determine an emergency network point closest to the electric vehicle according to the analysis result, the data information, the characteristic parameter, and all the network point information of the emergency support system; specifically, the determining module 16 is based on the current position of the electric vehicle. Perform a 100-meter incremental circular radius scan to obtain one or more outlets of the emergency support system; when only one outlet is found, then it is the nearest outlet; when there are multiple outlets, according to the coordinates of the outlet, the electric vehicle
  • the coordinate and traffic map data calculates a reachable path Kn between the plurality of mesh points and the electric vehicle, and determines a shortest reachable path Kx according to the reachable path Kn;
  • the first communication module 18 is connected to the acquisition module 10, the simulation calculation module 12, the encryption module 14, and the determination module 16, and is configured to use the SOC of the battery, the remaining travelable time, the travelable distance, the encrypted data information and features. Parameters and emergency sites are sent to the service system 200.
  • the service system 200 specifically includes:
  • the second communication module 20 is in communication with the first communication module 18, and is configured to receive the SOC of the battery, the remaining travelable time, the travelable distance, the encrypted data information, and the characteristic parameter analysis result sent by the dynamic management system 100.
  • the database 22 is configured to store all the network information and the identification code of the emergency support system
  • the decryption module 24 is connected to the first communication module 20 and the database 22 for calling the database 22
  • the stored identification code is compared with a fixed identification code generated according to the electric vehicle ID, and the data information and the characteristic parameter are received according to the comparison result;
  • the analysis module 26 is connected to the decryption module 24 for performing fault analysis on the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feeding back the analysis result to the dynamic management system 100.
  • the dynamic management system is first used to collect data information and characteristic parameters of all electric vehicles in the operating area to simulate and calculate the SOC of the electric vehicle battery and predict the battery.
  • the remaining travel time and travelable distance of the electric vehicle and then send the SOC of the battery, the remaining travel time, the travelable distance, and the encrypted data information and characteristic parameters to the service system, and the service system according to the travelable distance and the Decrypted data information and characteristic parameters are used to analyze the fault of the electric vehicle, and the analysis result is fed back to the dynamic management system.
  • the dynamic management system determines the distance electric based on the analysis result, the data information and the characteristic parameters and all the network information of the emergency support system.
  • the nearest emergency network of the vehicle, and finally the service system provides real-time service to the electric vehicle according to the emergency support service vehicle of the emergency network to mobilize the emergency support system; that is, the electric vehicle management method of the present invention realizes various state indicators of the electric vehicle in the operating area. Real-time monitoring to ensure timely service of electric vehicles (Or charge for electricity), to achieve the dynamic management of remote electric vehicles, to bring users the convenience and speed up the promotion of electric vehicles.
  • the dynamic management system, the service system, the emergency support system and the electric vehicle involved in the method can automatically perform information exchange, analysis processing and closed-loop control at any time, in the dynamic management system, the service system and the emergency support system.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

L'invention concerne un procédé de gestion de véhicules électriques, comprenant les étapes suivantes: un système (100) de gestion dynamique acquiert des informations de données et des paramètres caractéristiques d'un véhicule électrique de façon à calculer à titre de simulation un SOC, un temps résiduel de circulation et une distance résiduelle de circulation d'une batterie; il envoie le SOC, le temps de circulation, la distance de circulation ainsi que des informations de données et des paramètres caractéristiques chiffrés à un système serveur (200); le système serveur effectue une analyse de pannes sur le véhicule électrique et renvoie un résultat d'analyse au système de gestion dynamique; le système de gestion dynamique détermine un site de réseau de secours le plus proche du véhicule électrique; et le système serveur dépêche une voiture de service de garantie de secours pour servir le véhicule électrique en temps réel en fonction du site de réseau de secours. Par comparaison à l'état antérieur de la technique, le procédé met en œuvre une surveillance en temps réel sur divers indices d'état des véhicules électriques dans une zone d'exploitation, garantit un service en temps réel (charge de batterie ou remplacement de batterie) pour le véhicule électrique, met en œuvre une gestion dynamique à distance sur le véhicule électrique, apporte de la commodité aux utilisateurs et accélère la popularisation du véhicule électrique. L'invention concerne également un système de gestion de véhicules électriques.
PCT/CN2014/086706 2014-09-17 2014-09-17 Procédé de gestion de véhicules électriques et système de gestion associé WO2016041157A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2014/086706 WO2016041157A1 (fr) 2014-09-17 2014-09-17 Procédé de gestion de véhicules électriques et système de gestion associé

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2014/086706 WO2016041157A1 (fr) 2014-09-17 2014-09-17 Procédé de gestion de véhicules électriques et système de gestion associé

Publications (1)

Publication Number Publication Date
WO2016041157A1 true WO2016041157A1 (fr) 2016-03-24

Family

ID=55532445

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2014/086706 WO2016041157A1 (fr) 2014-09-17 2014-09-17 Procédé de gestion de véhicules électriques et système de gestion associé

Country Status (1)

Country Link
WO (1) WO2016041157A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109193900A (zh) * 2018-10-15 2019-01-11 深圳市安和威电力科技股份有限公司 一种基于共直流母线的光储充微网管理系统及管理方法
CN109740860A (zh) * 2018-12-12 2019-05-10 北京智行者科技有限公司 一种充电车辆选取方法
CN111325483A (zh) * 2020-03-17 2020-06-23 郑州天迈科技股份有限公司 一种基于电池容量预测的电动公交车辆排班方法
FR3100518A1 (fr) 2019-09-09 2021-03-12 Psa Automobiles Sa Procédé et dispositif de gestion de l’énergie d’un véhicule
CN112659925A (zh) * 2020-12-23 2021-04-16 重庆峘能电动车科技有限公司 分箱换电系统及电动汽车
CN115795554A (zh) * 2023-01-31 2023-03-14 北京安录国际技术有限公司 一种外籍机动车管理方法及系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102161316A (zh) * 2010-02-15 2011-08-24 株式会社电装 用于电动车辆的紧急状况通知系统以及用于紧急状况通知的方法
CN102722968A (zh) * 2012-06-29 2012-10-10 山东电力集团公司电力科学研究院 基于云服务车载终端的电动汽车安全预警防护系统及方法
CN103915869A (zh) * 2014-03-10 2014-07-09 贾英昊 一种基于移动设备的电动汽车智能充电系统及方法
CN104240031A (zh) * 2014-09-17 2014-12-24 东莞市迈科新能源有限公司 电动车管理方法及其管理系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102161316A (zh) * 2010-02-15 2011-08-24 株式会社电装 用于电动车辆的紧急状况通知系统以及用于紧急状况通知的方法
CN102722968A (zh) * 2012-06-29 2012-10-10 山东电力集团公司电力科学研究院 基于云服务车载终端的电动汽车安全预警防护系统及方法
CN103915869A (zh) * 2014-03-10 2014-07-09 贾英昊 一种基于移动设备的电动汽车智能充电系统及方法
CN104240031A (zh) * 2014-09-17 2014-12-24 东莞市迈科新能源有限公司 电动车管理方法及其管理系统

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109193900A (zh) * 2018-10-15 2019-01-11 深圳市安和威电力科技股份有限公司 一种基于共直流母线的光储充微网管理系统及管理方法
CN109193900B (zh) * 2018-10-15 2024-03-26 深圳市安和威电力科技股份有限公司 一种基于共直流母线的光储充微网管理系统及管理方法
CN109740860A (zh) * 2018-12-12 2019-05-10 北京智行者科技有限公司 一种充电车辆选取方法
FR3100518A1 (fr) 2019-09-09 2021-03-12 Psa Automobiles Sa Procédé et dispositif de gestion de l’énergie d’un véhicule
CN111325483A (zh) * 2020-03-17 2020-06-23 郑州天迈科技股份有限公司 一种基于电池容量预测的电动公交车辆排班方法
CN111325483B (zh) * 2020-03-17 2024-01-26 郑州天迈科技股份有限公司 一种基于电池容量预测的电动公交车辆排班方法
CN112659925A (zh) * 2020-12-23 2021-04-16 重庆峘能电动车科技有限公司 分箱换电系统及电动汽车
CN115795554A (zh) * 2023-01-31 2023-03-14 北京安录国际技术有限公司 一种外籍机动车管理方法及系统

Similar Documents

Publication Publication Date Title
WO2016041157A1 (fr) Procédé de gestion de véhicules électriques et système de gestion associé
CN106627421B (zh) 具有预警分析功能的电动汽车高速公路救援系统及方法
CN104240031A (zh) 电动车管理方法及其管理系统
CN201781037U (zh) 电动汽车的电池管理系统
CN107953786A (zh) 锂离子二次电池容量恢复系统
CN202840547U (zh) 电动汽车锂电池智能管理系统
CN105789717B (zh) 一种根据电动汽车特征自动搜索充电设备的方法和装置
CN105493378A (zh) 电动车辆用蓄电池交换系统及程序
US11518269B2 (en) Management apparatus, management method, and program
CN103944207B (zh) 与电动交通工具充电相关的信息处理和显示系统及方法
CN103439931B (zh) 一种电动汽车与电网实时信息交互系统
US20220283242A1 (en) Method and device for managing battery data
CN108810816B (zh) 蓄电装置的信息收集系统
JP7063055B2 (ja) 蓄電装置の情報収集システム
CN113689014A (zh) 共享电动车维护管理方法、设备、存储介质及装置
CN107492688B (zh) 一种电池维护方法、装置及车辆
CN106092194A (zh) 电动汽车救援车用综合状态监测系统
CN102991372A (zh) 纯电动汽车电池管理系统
US20230219444A1 (en) Vehicle management device and vehicle management method
US11580594B2 (en) Information processing device, information processing method, and information processing system
US20220194256A1 (en) Server, vehicle, and vehicle diagnosis method
KR102371424B1 (ko) Bms를 기반으로 하는 차량 통합관리시스템
JP6721170B1 (ja) 非常用充放電器の遠隔監視システム
Kshirsgar et al. Dual power supply with real time gps tracking for vehicular application using machine learning algorithm
JP2014052289A (ja) 航続距離演算装置

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: 14902163

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 07/08/2017)

122 Ep: pct application non-entry in european phase

Ref document number: 14902163

Country of ref document: EP

Kind code of ref document: A1