WO2016041157A1

WO2016041157A1 - Electric vehicle management method and management system therefor

Info

Publication number: WO2016041157A1
Application number: PCT/CN2014/086706
Authority: WO
Inventors: 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: 2014-09-17
Filing date: 2014-09-17
Publication date: 2016-03-24

Abstract

An electric vehicle management method, including: acquiring, by a dynamic management system (100), data information and feature parameters of an electric vehicle so as to simulatively calculate an SOC, residual driving time and residual driving distance of a battery; sending the SOC, the driving time, the driving distance as well as encrypted data information and feature parameters to a server system (200); performing, by the server system, fault analysis on the electric vehicle and feeding back an analysis result to the dynamic management system; determining, by the dynamic management system, an emergency network site closest to the electric vehicle; and dispatching, by the server system, an emergency guarantee service car to serve the electric vehicle in real time according to the emergency network site. Compared with the prior art, the method implements real-time monitoring on various state indexes of the electric vehicles in an operating area, guarantees real-time service (battery charging or battery replacement) for the electric vehicle, implements remote dynamic management on the electric vehicle, brings about convenience to users and accelerates the popularization of the electric vehicle. Also disclosed is an electric vehicle management system.

Description

Electric vehicle management method and management system thereof

Technical field

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.

Background technique

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.

As we all know, 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.

In view of this, it is necessary to provide an electric vehicle management method to monitor the status indicators of electric vehicles in real time to ensure timely charging or replacement of electric vehicles, bringing convenience to users and accelerating the promotion of electric vehicles. .

Summary of the invention

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.

To achieve the above object, the present invention provides 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. 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.

Compared with the prior art, in the present invention, 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. After that, 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. 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 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. In addition, 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. When driving an electric vehicle in the formed operation area, it was done to "put everything to me, you just need to use the car happily", which brought great convenience to the user.

Specifically, 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.

Specifically, predicting the remaining travelable distance of the electric vehicle specifically includes:

The travelable distance is calculated based on distance = speed * remaining capacity / current.

Specifically, the specific process of encrypting data information and feature parameters is:

Processing a 16-bit identification code in the ID of the electric vehicle using a CRC16 or SHA-1 encryption algorithm to generate a fixed identification code;

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.

Specifically, the specific process of the service system decrypting the data information and the feature parameters for encryption is:

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.

Specifically, the analysis results include charging or changing power.

Specifically, 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;

When there are multiple outlets, 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. .

Specifically, the dynamic management system collects data information and characteristic parameters through a plurality of sensors installed in the electric vehicle.

Specifically, the sensor includes a temperature sensor, a humidity sensor, a current sensor, a voltage sensor, a speed sensor, and an acceleration sensor.

Accordingly, the present invention also provides 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.

Compared with the prior art, 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. After that, 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. In addition, 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. When driving an electric vehicle in the formed operation area, it was done to "put everything to me, you just need to use the car happily", which brought great convenience to the user.

Specifically, 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.

Specifically, 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; and

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 .

The invention will be more apparent from the following description, taken in conjunction with the accompanying drawings.

DRAWINGS

1 is a flow chart of a method for managing an electric vehicle of the present invention.

2 is a structural block diagram of an electric vehicle management system of the present invention.

detailed description

Embodiments of the present invention will now be described with reference to the drawings, in which like reference numerals represent like elements.

It should be noted that 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. In 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. The operating area where it is located.

In each operating area, 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.

Among them, 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. At the same time, 6S experience store and high-speed, wireless real-time communication with the dynamic management system and emergency support system to achieve the purpose of monitoring and managing the operation status of electric vehicles and providing intimate services. Moreover, in an emergency, 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. Among them, 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 . In addition, 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. Specifically, the analysis and diagnosis process for the battery is:

Over temperature: When the battery temperature reaches 60 degrees, the first level alarm, 65 level two alarm and recommended to stop;

Low temperature: When the battery temperature reaches -10 degrees, the first level alarm, -20 degree secondary alarm and recommended to stop;

Overvoltage: For LFP, when the voltage is greater than 3.80V, the first level alarm, 4.0V, the second level alarm and recommended detection;

Undervoltage: For LFP, when the voltage is less than 2.70V, the first level alarm, 2.5V, the second level alarm and recommended detection;

Communication error: 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.

Referring to FIG. 1, the electric vehicle management method of the present invention includes:

S101. 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. Specifically, 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. After the dynamic management system collects the above data information and characteristic parameters, according to the current, voltage and temperature of the battery, the SOC of the battery=the remaining capacity/battery capacity is accurately calculated, and the calculation of the capacity is related to V, I, and T, which is not clear. The formula only represents a relationship, so the relationship between SOC and V, I, T can be expressed by SOC=Fun(V, I, T), and the vehicle can be predicted based on relevant parameters such as speed, capacity, SOC, SOH. Travel distance S = speed * time = speed * remaining capacity / current. As for the calculation of the travelable distance, the following is explained: 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 After the battery runs for 100 cycles, its capacity will be attenuated by 0.6%, 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, t=Cap/Cur CAP=Fun (SOC, SOH) battery capacity The amount will be weighted according to the SOH. For example, after 100 cycles of the battery, the calculated capacity is 200Ah. Considering the SOH, the capacity of the battery is 200Ah*(1-0.6%)=198.8Ah, such as at a low temperature of -20 degrees. When the battery capacity is 200Ah*70%=140Ah such as -20 degrees and after 200 cycles = 200Ah*70%*(1-2*0.6%)=138.3Ah). In addition, 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.

S102. 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. Specifically, 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. It should be noted that, when encrypting, according to the amount of data transmitted, 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.

S103: 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. Thereafter, based on the state information of the electric vehicle included in the received data and reading the travelable distance to perform related failure analysis, the obtained analysis result includes charging or changing power. Specifically, if a fault occurs, optimal processing is implemented, wherein 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.

S104. 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. Specifically, the electric vehicle has a GPS function, and 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. And determining the shortest reachable path Kx according to the reachable path Kn. Specifically, the linear distance between the net point and the electric vehicle is calculated according to the coordinates of the dot and the electric vehicle coordinate Sn=((the dot coordinate Xn-electric vehicle coordinate Xn)^2+(the dot coordinate Yn-electric vehicle coordinate Yn)^2)^( 0.5); Starting from the shortest straight line Sn point, 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.

S105. 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.

Accordingly, 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.

Specifically, 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 simulation calculation module 12 is connected to the acquisition module 10 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; specifically, calculating according to the distance=speed*remaining capacity/current Travelable distance

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.

Specifically, 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 emergency network point;

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.

As can be seen from the above description, compared with the prior art, in the present invention, 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. Then 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. In addition, 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. When driving an electric vehicle in the formed operation area, it was done to "put everything to me, you just need to use the car happily", which brought great convenience to the user.

The invention has been described above in connection with the preferred embodiments, but the invention is not limited to the embodiments disclosed above, but rather, various modifications and equivalent combinations in accordance with the nature of the invention.

Claims

An electric vehicle management method, comprising:

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 dynamic management system transmits the SOC of the battery, the remaining travelable time, the travelable distance, and the encrypted data information and feature parameters to the service system;

The service system performs fault analysis on the electric vehicle according to the travelable distance and the decrypted data information and characteristic parameters, and feeds back the analysis result to the dynamic management system;

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 network point information of the emergency support system is stored in a database of the service system;

The service system mobilizes the emergency support service vehicle of the emergency support system according to the emergency network to perform real-time service on the electric vehicle.
The electric vehicle management method according to claim 1, wherein 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, and an ambient temperature. , ambient humidity, remaining battery capacity and the current location of the electric vehicle.
The electric vehicle management method according to claim 2, wherein predicting the remaining travelable distance of the electric vehicle specifically comprises:

The travelable distance is calculated from distance = speed * remaining capacity / current.
The electric vehicle management method according to claim 2, wherein the specific process of encrypting the data information and the feature parameters is:

The 16-bit identification code in the ID of the electric vehicle is performed by using a CRC16 or SHA-1 encryption algorithm. To generate a fixed identification code;

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 electric vehicle management method according to claim 4, wherein the specific process of the service system decrypting the data information and the feature parameters for encryption is:

Retrieving an identification code stored in a database of the service system and a fixed identification code generated according to the electric vehicle ID;

The data information and the feature parameters are received according to the comparison result.
The electric vehicle management method according to claim 2, wherein the dynamic management system determines the nearest emergency to the electric vehicle based on the analysis result, the data information, the characteristic parameter, and all the network point information of the emergency support system. The outlets specifically include:

The dynamic management system performs an incremental circular radius scan according to the current position of the electric vehicle to obtain one or more outlets of the emergency support system;

When there are a plurality of the network points, calculating a reachable path Kn between the plurality of the network points and the electric vehicle according to the coordinates of the network point, the coordinates of the electric vehicle, and the traffic map data, and according to the The path Kn determines the shortest reachable path Kx.
An electric vehicle management system, comprising:

a dynamic management system, configured to collect data information and characteristic parameters of all electric vehicles, to simulate and calculate a SOC of a battery of the electric vehicle, and predict a remaining travelable time and a travelable distance of the electric vehicle, and send the battery SOC, remaining travel time, travelable distance, and encrypted data information and characteristic parameters;

a service system, configured to communicate with the dynamic management system, 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, the dynamic management system is based on the analysis result, data information, and features All the site information of the parameter and the emergency support system determine the emergency site closest to the electric vehicle, and feed back the emergency site to the service system, wherein all the site information of the emergency support system is stored in the service system In the database; and

The emergency support system communicates with the service system for being mobilized by the service system according to the emergency network to perform real-time service on the electric vehicle.
The electric vehicle management system according to claim 7, wherein 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, and an ambient temperature. , ambient humidity, remaining battery capacity and the current location of the electric vehicle.
The electric vehicle management system according to claim 8, wherein the dynamic management system specifically comprises:

An acquisition module is connected to a plurality of sensors mounted on the electric vehicle for collecting the data information and characteristic parameters;

An analog calculation module is connected to the acquisition module, configured to simulate and calculate a SOC of a battery of the electric vehicle and predict a remaining travelable time and a travelable distance of the electric vehicle;

An encryption module, coupled to the collection module, configured to process a 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, 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;

The first communication module is connected to the collection module, the simulation calculation module, the encryption module and the determination module, and is configured to use the SOC of the battery, the remaining travelable time, the travelable distance, the encrypted data information, and The feature parameters and the emergency site are sent to the service system.
The electric vehicle management system according to claim 9, wherein the service system specifically comprises:

a second communication module, configured to receive, by the first communication module, a SOC, a remaining travelable time, a travelable distance, and the encrypted data information sent by the dynamic management system Characteristic parameter said analysis result and said emergency network point;

a database for storing all the network information and the identification code of the emergency protection system;

a decryption module, connected to the first communication module and the database, for invoking an identifier stored in the database to be compared with a fixed identification code generated according to the electric vehicle ID, and receiving the comparison result according to the comparison result Data information and characteristic parameters; and

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 .