Battery health management method and device suitable for external discharge service of electric vehicle and storage medium

Abstract

The invention discloses a battery health management method and device suitable for an electric vehicle external discharge service and a storage medium, relates to the field of electric vehicles, and can establish a data portrait for an electric vehicle battery and provide health monitoring. Through comprehensive data analysis and health assessment on the battery of the electric vehicle, intelligent matching of power supply requirements is realized, and safe implementation of external discharge business is ensured. Meanwhile, the application value of the electric vehicle serving as mobile energy storage equipment is maximized, and application of the electric vehicle serving as an energy resource in emergency power supply and planned power supply scenes is achieved.

Description

Technical Field

[0001] The present invention relates to the field of electric vehicles, and in particular to a battery health management method, device and storage medium suitable for external discharge business of electric vehicles. Background Art

[0002] With the popularity of electric vehicles, the continuous improvement of their battery capacity and charging technology has made electric vehicles more and more widely used in emergency power supply and planned power supply scenarios. However, the health status of vehicle batteries is different, and the power supply needs they can meet are different. If the vehicle battery is in poor health or is used for power supply needs that exceed its healthy carrying capacity, it will face very large safety hazards. The electric vehicle external discharge business platform on the current market often lacks comprehensive monitoring and management of the health status of electric vehicle batteries, which not only increases safety risks, but also limits the scope of application of electric vehicles as mobile energy storage devices. Summary of the invention

[0003] In order to overcome the deficiencies of the above technologies, the present invention provides a method, device and storage medium for ensuring the safe implementation of external discharge services by performing comprehensive data analysis and health assessment on electric vehicle batteries.

[0004] The technical solution adopted by the present invention to overcome the technical problems is: A battery health management method applicable to an external discharge business of an electric vehicle, comprising: S1. Establish data basic points based on the basic battery data of electric vehicles; S2. Collect battery status data; S3. Preprocess the collected data of basic points and battery status data; S4. Extracting feature values ​​from the preprocessed data; S5. Create a data profile for each battery based on the extracted feature values ​​and battery status data; S6. Perform battery numerical simulation based on data portrait; S7. Generate a battery health assessment report based on the simulation results.

[0005] Furthermore, the basic battery data in step S1 includes battery type and battery capacity.

[0006] Furthermore, in step S2, the vehicle-side module collects data on the battery idle state and discharge process of the electric vehicle in real time.

[0007] Furthermore, in step S3, the data preprocessing module sequentially cleans, denoises, fills in missing values, and standardizes the data of the basic points and the battery status data to complete the data preprocessing.

[0008] Furthermore, the preprocessed data is stored in a data warehouse.

[0009] Furthermore, in step S4, the data feature extraction module uses a clustering algorithm to analyze the preprocessed data and extract feature values.

[0010] Furthermore, the above-mentioned characteristic values ​​include battery type, battery capacity, internal resistance change value, current change value, voltage change value, and temperature change value.

[0011] Furthermore, in step S6, a numerical simulation model is used to perform finite element analysis on the data image, simulate the discharge process, and output the simulation results.

[0012] On the other hand, the present invention also relates to a battery health management device suitable for external discharge business of electric vehicles, comprising: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is configured to execute, by running a program stored in the memory: Establish data base points based on basic battery data of electric vehicles; Collect battery status data; Pre-process the collected data of basic points and battery status data; Extract feature values ​​from the preprocessed data; Create a data profile for each battery based on the extracted feature values ​​and battery status data; Perform battery numerical simulation based on data portraits; Generate a battery health assessment report based on simulation results.

[0013] On the other hand, the present invention also relates to a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements: Establish data base points based on basic battery data of electric vehicles; Collect battery status data; Pre-process the collected data of basic points and battery status data; Extract feature values ​​from the preprocessed data; Create a data profile for each battery based on the extracted feature values ​​and battery status data; Perform battery numerical simulation based on data portraits; Generate a battery health assessment report based on simulation results.

[0014] The beneficial effects of the present invention are: data portraits can be established for electric vehicle batteries and health monitoring can be provided. By conducting comprehensive data analysis and health assessment of electric vehicle batteries, intelligent matching of power supply needs can be achieved to ensure the safe implementation of external discharge services. At the same time, the application value of electric vehicles as mobile energy storage devices is maximized, and the application of electric vehicles as energy resources in emergency power supply and planned power supply scenarios can be realized. DETAILED DESCRIPTION

[0015] The present invention is further described below.

[0016] Example 1 A battery health management method applicable to an external discharge business of an electric vehicle, comprising: S1. Establish data basic points based on the basic battery data of electric vehicles.

[0017] S2. Collect battery status data. The data collection end relies on the power discharge management module placed on the vehicle end and bound to the vehicle to collect vehicle battery data and battery discharge process data. It integrates an intelligent control module, a battery management system (BMS), a communication module and a metering module. The intelligent control module receives and executes remote control instructions from the control center to control the start and end of external discharge, etc.; the BMS monitors the battery power, operating status, etc.; the communication module realizes data interaction with the control center; and the metering module records the changes in power during the charging and discharging process.

[0018] S3. Preprocess the collected data of basic points and battery status data.

[0019] S4. Extract feature values ​​from the preprocessed data.

[0020] S5. Create a data profile for each battery based on the extracted characteristic values ​​and battery status data. The data analysis engine continuously analyzes the collected battery data, continuously expands the data warehouse, modifies and adjusts the battery characteristic values, and improves the clarity of the battery data profile.

[0021] S6. Perform battery numerical simulation based on the data profile.

[0022] S7. Generate a battery health assessment report based on the simulation results, which may include performance prediction, life analysis, safety analysis, and discharge strategy optimization suggestions.

[0023] In this embodiment, the basic battery data in step S1 includes battery type and battery capacity.

[0024] In this embodiment, in step S2, the vehicle-side module collects data on the battery idle state and discharge process of the electric vehicle in real time.

[0025] In this embodiment, in step S3, the data preprocessing module sequentially cleans, removes noise, fills in missing values, and performs standardization on the data of the basic points and the battery status data to complete the data preprocessing.

[0026] In this embodiment, the preprocessed data is stored in a data warehouse.

[0027] In this embodiment, in step S4, the data feature extraction module uses a clustering algorithm to analyze the preprocessed data and extract feature values.

[0028] In this embodiment, the above-mentioned characteristic values ​​include battery type, battery capacity, internal resistance change value, current change value, voltage change value, and temperature change value, and an inductive analysis is performed to extract the characteristic values ​​of each battery type.

[0029] In this embodiment, in step S6, a numerical simulation model is used to perform finite element analysis on the data image, simulate the discharge process, output the simulation results, determine the power supply range and evaluate the risk.

[0030] Furthermore, the collected battery data can be continuously analyzed, the data warehouse can be expanded, the battery characteristic values ​​can be modified and adjusted, and the clarity of the battery data portrait can be improved.

[0031] Example 2 A battery health management device suitable for external discharge business of electric vehicles, comprising: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is configured to execute, by running a program stored in the memory: Establish data base points based on the basic battery data of electric vehicles.

[0032] Collect battery status data.

[0033] Pre-process the collected data of basic points and battery status data.

[0034] Extract features from the preprocessed data.

[0035] Create a data profile for each battery based on the extracted feature values ​​and battery status data.

[0036] Perform battery numerical simulation based on data profiling.

[0037] Generate a battery health assessment report based on simulation results.

[0038] Example 3 A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the computer program implements: Establish data base points based on the basic battery data of electric vehicles.

[0039] Collect battery status data.

[0040] Pre-process the collected data of basic points and battery status data.

[0041] Extract features from the preprocessed data.

[0042] Create a data profile for each battery based on the extracted feature values ​​and battery status data.

[0043] Perform battery numerical simulation based on data profiling.

[0044] Generate a battery health assessment report based on simulation results.

[0045] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A battery health management method suitable for electric vehicle external discharge business, characterized in that: include: S1. Establish data basic points based on the basic battery data of electric vehicles; S2. Collect battery status data; S3. Preprocess the collected data of basic points and battery status data; S4. Extracting feature values ​​from the preprocessed data; S5. Create a data profile for each battery based on the extracted feature values ​​and battery status data; S6. Perform battery numerical simulation based on data portrait; S7. Generate a battery health assessment report based on the simulation results.

2. The battery health management method applicable to the external discharge business of electric vehicles according to claim 1 is characterized in that: The basic battery data in step S1 includes battery type and battery capacity.

3. The battery health management method applicable to the external discharge business of electric vehicles according to claim 1 is characterized in that: In step S2, the vehicle-side module collects data on the battery idle state and discharge process of the electric vehicle in real time.

4. The battery health management method applicable to the external discharge business of electric vehicles according to claim 1, characterized in that: In step S3, the data preprocessing module cleans, denoises, fills in missing values, and standardizes the data of the basic points and the battery status data in turn to complete the data preprocessing work.

5. The battery health management method applicable to the external discharge business of electric vehicles according to claim 4 is characterized in that: The preprocessed data is stored in the data warehouse.

6. The battery health management method applicable to the external discharge business of electric vehicles according to claim 1, characterized in that: In step S4, the data feature extraction module uses a clustering algorithm to analyze the preprocessed data and extract feature values.

7. The battery health management method applicable to the external discharge business of electric vehicles according to claim 6 is characterized in that: The characteristic values ​​include battery type, battery capacity, internal resistance change value, current change value, voltage change value, and temperature change value.

8. The battery health management method applicable to the external discharge business of electric vehicles according to claim 1 is characterized in that: In step S6, a numerical simulation model is used to perform finite element analysis on the data image, simulate the discharge process, and output the simulation results.

9. A battery health management device suitable for external discharge business of electric vehicles, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is configured to execute, by running a program stored in the memory: Establish data base points based on basic battery data of electric vehicles; Collect battery status data; Pre-process the collected data of basic points and battery status data; Extract feature values ​​from the preprocessed data; Create a data profile for each battery based on the extracted feature values ​​and battery status data; Perform battery numerical simulation based on data portraits; Generate a battery health assessment report based on simulation results.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program, which, when executed by a processor, implements: Establish data base points based on basic battery data of electric vehicles; Collect battery status data; Pre-process the collected data of basic points and battery status data; Extract feature values ​​from the preprocessed data; Create a data profile for each battery based on the extracted feature values ​​and battery status data; Perform battery numerical simulation based on data portraits; Generate a battery health assessment report based on simulation results.