Abnormality identification method and device for vehicle battery system

Abstract

The application discloses an abnormality identification method and device of a vehicle battery system, and relates to the technical field of information, which comprises the following steps: obtaining vehicle information corresponding to a plurality of vehicles respectively; grouping the plurality of vehicles based on the vehicle information to obtain a plurality of groups of vehicles; dividing the integral discharge data and charge data of the battery system of each vehicle in each group of vehicles in a driving cycle to obtain the charge-discharge energy efficiency of each battery system; comparing the charge-discharge energy efficiency with a preset charge-discharge energy efficiency, and determining whether the battery system of each vehicle in each group of vehicles is abnormal according to the comparison result. By applying the technical scheme of the application, the charge-discharge energy efficiency of each battery system can be calculated, so that the decline degree of the charge-discharge capacity of each battery system can be determined, and then the vehicle battery system can be identified abnormally in view of the factor of the decline of the charge-discharge capacity, so as to ensure the normal operation of the vehicle battery system.

Description

Technical Field

[0001] This application relates to the field of information technology, specifically to a method and apparatus for anomaly identification of a vehicle battery system. Background Technology

[0002] The vehicle's battery system is the core system of the entire vehicle. In order to ensure the safe operation of the vehicle, it is necessary to identify abnormalities in the battery system.

[0003] Currently, the presence of abnormalities in a vehicle battery system is typically determined by the degradation of its capacity. However, in addition to capacity degradation, another cause of abnormalities in a vehicle battery system is an increase in internal resistance, which means a decrease in the battery system's charging and discharging capabilities. Existing technologies can only identify abnormalities in the battery system based on capacity degradation, and cannot identify abnormalities based on a decrease in charging and discharging capabilities. Summary of the Invention

[0004] In view of this, this application provides a method and apparatus for anomaly identification of a vehicle battery system, which is mainly able to identify anomalies in the vehicle battery system in response to the factor of decreased charging and discharging capacity.

[0005] According to a first aspect of the present invention, a method for anomaly identification of a vehicle battery system is provided, comprising:

[0006] Obtain vehicle information for each of the multiple vehicles;

[0007] Based on the vehicle information, the multiple vehicles are grouped to obtain multiple groups of vehicles;

[0008] The discharge and charging data of each vehicle's battery system in one driving cycle are integrated and then divided to obtain the charge and discharge energy efficiency of each battery system.

[0009] The charging and discharging energy efficiency is compared with the preset charging and discharging energy efficiency, and the battery system of each vehicle in each group of vehicles is determined to be abnormal based on the comparison result.

[0010] Optionally, the step of integrating and dividing the discharge and charge data of each vehicle's battery system in one driving cycle to obtain the charge / discharge energy efficiency of each battery system includes:

[0011] Multiply the current and voltage in the discharge data to obtain the first power, and integrate the first power over time to obtain the net discharge energy of each battery system in the driving discharge cycle.

[0012] Multiply the current and voltage in the charging data to obtain the second power, and integrate the second power over time to obtain the net charging energy of each battery system in the driving charging cycle.

[0013] Calculate the energy ratio between the net discharge energy and the net charge energy, and determine the energy ratio as the charge / discharge energy efficiency of each battery system.

[0014] Optionally, the step of calculating the energy ratio between the net discharge energy and the net charge energy, and determining the energy ratio as the charge / discharge energy efficiency of each battery system, includes:

[0015] The energy percentage is obtained by dividing the net discharge energy by the net charge energy.

[0016] Optionally, before integrating and dividing the discharge and charge data of each vehicle's battery system in one driving cycle to obtain the charge / discharge energy efficiency of each battery system, the method further includes:

[0017] Determine the depth of discharge of the battery system of each vehicle in each group of vehicles;

[0018] The discharge depth is compared with a preset discharge depth, and the discharge data and the charging data are determined to be target cycle data based on the comparison result.

[0019] The method of integrating and dividing the discharge and charge data of each vehicle's battery system in one driving cycle to obtain the charge / discharge energy efficiency of each battery system includes:

[0020] If the discharge data and the charging data are target cycle data, then the discharge data and the charging data are integrated and divided to obtain the charge and discharge energy efficiency of each battery system.

[0021] Optionally, comparing the discharge depth with a preset discharge depth and determining whether the discharge data and the charging data are target cycle data based on the comparison result includes:

[0022] If the depth of discharge is greater than or equal to the preset depth of discharge, then the discharge data and the charging data are determined to be target cycle data;

[0023] If the depth of discharge is less than the preset depth of discharge, then the discharge data and the charging data are determined not to be target cycle data.

[0024] Optionally, comparing the charge / discharge energy efficiency with a preset charge / discharge energy efficiency, and determining whether there is an abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result, includes:

[0025] The charging and discharging energy efficiencies of the battery systems of each vehicle in each group are added together to obtain the total energy efficiency of each group of vehicles. The total energy efficiency is then divided by the number of vehicles in each group to obtain the average energy efficiency of each group of vehicles.

[0026] The average energy efficiency is determined as the preset charge / discharge energy efficiency;

[0027] The step of comparing the charge / discharge energy efficiency with a preset charge / discharge energy efficiency, and determining whether there are any abnormalities in the battery systems of each vehicle in each group of vehicles based on the comparison results, includes:

[0028] Calculate the difference between the preset charge / discharge energy efficiency and the charge / discharge energy efficiency of the battery system of any one of the vehicles.

[0029] If the difference is greater than or equal to a preset difference, then it is determined that the battery system of any of the vehicles is abnormal.

[0030] Optionally, the vehicle information includes runtime, mileage, ambient temperature and humidity, and individual battery data. The process of grouping the multiple vehicles based on this vehicle information to obtain multiple vehicle groups includes:

[0031] Vehicles with similar operating times (not exceeding a first preset range), similar mileage (not exceeding a second preset range), similar temperatures (not exceeding a third preset range), and similar individual battery data (not exceeding a fourth preset range) are grouped together to obtain the multiple groups of vehicles.

[0032] According to a second aspect of the present invention, an anomaly detection device for a vehicle battery system is provided, comprising:

[0033] The acquisition unit is used to acquire vehicle information corresponding to multiple vehicles respectively;

[0034] A grouping unit is used to group the multiple vehicles based on the vehicle information to obtain multiple groups of vehicles;

[0035] The calculation unit is used to integrate and divide the discharge and charging data of the battery system of each vehicle in each group of vehicles in one driving cycle to obtain the charge and discharge energy efficiency of each battery system.

[0036] The determination unit is used to compare the charge-discharge energy efficiency with the preset charge-discharge energy efficiency, and determine whether there is an abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result.

[0037] Optionally, the computing unit includes: a first computing module and a first determining module.

[0038] The first calculation module is used to multiply the current and voltage in the discharge data to obtain a first power, and integrate the first power over time to obtain the net discharge energy of each battery system in the driving discharge cycle.

[0039] The first calculation module is also used to multiply the current and voltage in the charging data to obtain the second power, and to integrate the second power over time to obtain the net charging energy of each battery system in the driving charging cycle;

[0040] The first determining module is used to calculate the energy ratio between the net discharge energy and the net charge energy, and to determine the energy ratio as the charge and discharge energy efficiency of each battery system.

[0041] Optionally, the first determining module is specifically used to divide the net discharge energy and the net charge energy to obtain the energy ratio.

[0042] Optionally, the device further includes a determining unit.

[0043] The determining unit is used to determine the depth of discharge of the battery system of each vehicle in each group of vehicles.

[0044] The determination unit is further configured to compare the discharge depth with a preset discharge depth, and determine whether the discharge data and the charging data are target cycle data based on the comparison result;

[0045] The calculation unit is specifically used to integrate the discharge data and the charging data respectively and then divide them to obtain the charge-discharge energy efficiency of each battery system if the discharge data and the charging data are target cycle data.

[0046] Optionally, the determination unit is specifically configured to determine that the discharge data and the charging data are target cycle data if the discharge depth is greater than or equal to a preset discharge depth; and to determine that the discharge data and the charging data are not target cycle data if the discharge depth is less than the preset discharge depth.

[0047] Optionally, the calculation unit is further configured to add the charge and discharge energy efficiencies of the battery systems of each vehicle in each group of vehicles to obtain the total energy efficiency of each group of vehicles, and divide the total energy efficiency by the number of vehicles in each group to obtain the average energy efficiency of each group of vehicles; and determine the average energy efficiency as the preset charge and discharge energy efficiency.

[0048] The determination unit includes: a second calculation module and a second determination module.

[0049] The second calculation module is used to calculate the difference between the preset charge / discharge energy efficiency and the charge / discharge energy efficiency of the battery system of any one of the vehicles.

[0050] The second determining module is used to determine that the battery system of any vehicle is abnormal if the difference is greater than or equal to a preset difference.

[0051] Optionally, the grouping unit is specifically used to divide the vehicles among the multiple vehicles into a group whose running time difference does not exceed a first preset range, whose mileage difference does not exceed a second preset range, whose temperature difference does not exceed a third preset range, and whose individual battery data difference does not exceed a fourth preset range, thereby obtaining the multiple groups of vehicles.

[0052] According to a third aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0053] Obtain vehicle information for each of the multiple vehicles;

[0054] Based on the vehicle information, the multiple vehicles are grouped to obtain multiple groups of vehicles;

[0055] The discharge and charging data of each vehicle's battery system in one driving cycle are integrated and then divided to obtain the charge and discharge energy efficiency of each battery system.

[0056] The charging and discharging energy efficiency is compared with the preset charging and discharging energy efficiency, and the battery system of each vehicle in each group of vehicles is determined to be abnormal based on the comparison result.

[0057] According to a fourth aspect of the present invention, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to perform the following steps:

[0058] Obtain vehicle information for each of the multiple vehicles;

[0059] Based on the vehicle information, the multiple vehicles are grouped to obtain multiple groups of vehicles;

[0060] The discharge and charging data of each vehicle's battery system in one driving cycle are integrated and then divided to obtain the charge and discharge energy efficiency of each battery system.

[0061] The charging and discharging energy efficiency is compared with the preset charging and discharging energy efficiency, and the comparison result is used to determine whether there is any abnormality in the battery system of each vehicle in each group of vehicles.

[0062] Fifthly, this application provides a vehicle including: electronic equipment as described in the fourth aspect.

[0063] This invention provides a method and apparatus for anomaly identification in vehicle battery systems. Compared with existing technologies that identify anomalies based on battery system capacity decay, this method can acquire vehicle information for multiple vehicles, group these vehicles based on the vehicle information, and obtain multiple groups of vehicles. Simultaneously, the discharge and charging data of each vehicle's battery system in one driving cycle are integrated and then divided to obtain the charge / discharge energy efficiency of each battery system. Finally, the charge / discharge energy efficiency is compared with a preset charge / discharge energy efficiency, and the comparison result determines whether there are any anomalies in the battery systems of each vehicle in each group. Therefore, by calculating the charge / discharge energy efficiency of each battery system using the discharge and charging data of each vehicle's battery system in one driving cycle, the degree of degradation in the battery system's charge / discharge capacity can be determined. This allows for anomaly identification of the vehicle battery system based on the factor of reduced charge / discharge capacity, ensuring the normal operation of the vehicle battery system.

[0064] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0065] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0066] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0067] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0068] Figure 1 This diagram illustrates a flowchart of an anomaly identification method for a vehicle battery system provided by an embodiment of the present invention.

[0069] Figure 2 This invention provides a schematic flowchart of another method for anomaly identification in a vehicle battery system according to an embodiment of the present invention.

[0070] Figure 3 This diagram illustrates the structure of an anomaly detection device for a vehicle battery system according to an embodiment of the present invention.

[0071] Figure 4 This invention provides a schematic diagram of the structure of another vehicle battery system anomaly identification device according to an embodiment of the present invention.

[0072] Figure 5 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention is shown. Detailed Implementation

[0073] To better understand the above-mentioned objectives, features, and advantages of this application, the solution of this application will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0074] Currently, existing technologies can only identify anomalies in battery systems based on capacity decay, but cannot identify anomalies based on decreased charging and discharging capabilities.

[0075] To address the aforementioned problems, embodiments of the present invention provide a method for anomaly identification in a vehicle battery system, such as... Figure 1 As shown, the method includes:

[0076] 101. Obtain vehicle information for multiple vehicles.

[0077] The vehicle information includes data such as vehicle operating time, mileage, ambient temperature and humidity, and individual battery voltage, current, temperature, and cumulative throughput.

[0078] This invention is primarily applicable to scenarios where anomalies in vehicle battery systems are identified based on a decrease in charging and discharging capabilities. The executing entity of this invention is a device or equipment capable of identifying anomalies in vehicle battery systems, such as a cloud system.

[0079] In this embodiment of the invention, data such as the running time, mileage, ambient temperature and humidity of all vehicles, and the voltage, current, temperature, and cumulative throughput of individual batteries are collected. The collected data is then uploaded to the cloud as vehicle information, so that the cloud system can group the vehicles based on the vehicle information.

[0080] 102. Based on the vehicle information, the multiple vehicles are grouped to obtain multiple groups of vehicles.

[0081] In this embodiment of the invention, after obtaining vehicle information for all vehicles, the cloud system groups the vehicles based on this information. Specifically, vehicles with similar operating conditions can be grouped together based on data such as operating time, mileage, ambient temperature and humidity, and individual battery voltage, current, temperature, and cumulative throughput. For example, vehicles with humidity variations not exceeding 5%, temperature variations not exceeding 5°C, mileage variations not exceeding 1000km, and cumulative throughput variations not exceeding 50*E rated can be grouped together, thus obtaining multiple groups of vehicles.

[0082] 103. Integrate and divide the discharge and charge data of the battery system of each vehicle in each group during one driving cycle to obtain the charge and discharge energy efficiency of each battery system.

[0083] One driving cycle refers to a cycle in which the vehicle goes through a full charge, driving and discharging, and then being fully charged again. Discharge data includes data such as current, temperature, and discharge energy of the battery system during the discharge process, while charging data includes data such as current, temperature, and charging energy of the battery system during the charging process.

[0084] To identify battery system anomalies based on the factor of decreased charging and discharging capacity, this embodiment of the invention integrates the discharge and charging data of each vehicle in each group during a driving cycle to obtain net charging energy and net discharging energy. This net discharging energy is then divided by the net charging energy to obtain the charging and discharging energy efficiency of the battery system for each vehicle in each group, thereby determining the degree of decrease in charging and discharging capacity for each vehicle. Specifically, when the vehicle battery system is fully charged, it is marked as the start of the current driving cycle. When the vehicle is driving, the battery system discharges. During this time, the battery management module in the battery system analyzes data such as current, temperature, and discharge energy during the discharge process and uploads them to the cloud system. After receiving the above data during the discharge process, the cloud system records this discharge process as driving discharge cycle 1 and calculates the net discharge energy E1 based on the current, temperature, and discharge energy data during the discharge process.

[0085] Furthermore, when the vehicle is fast-charging according to the normal procedure, the battery management module in the battery system analyzes data such as current, temperature, and charging energy during the charging process and uploads them to the cloud system. Upon receiving this data, the cloud system records the charging process as "Cycle 2" and calculates the net charging energy E2 based on the current, temperature, and charging energy data. By integrating and dividing the discharge and charging data separately, the charge / discharge energy efficiency of each battery system can be obtained. Based on this efficiency, it can be determined whether there are any abnormalities in the vehicle's battery system.

[0086] 104. Compare the charge / discharge energy efficiency with the preset charge / discharge energy efficiency, and determine whether there is any abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result.

[0087] In this embodiment of the invention, after obtaining the charge-discharge energy efficiency of the battery system of each vehicle in each group, since the operating conditions of the vehicles in the same group are similar, the charge-discharge energy efficiency of the battery system of each vehicle in the same group should be similar. Based on this, this invention compares the charge-discharge energy efficiency with a preset charge-discharge energy efficiency, and can determine whether there is an abnormality in the battery system of each vehicle in each group based on the comparison result. This allows for the identification of abnormal battery systems and the sending of warning information, thereby preventing safety risks caused by overuse of the vehicle battery system in advance.

[0088] This invention provides a method for anomaly identification in vehicle battery systems. Compared to existing methods that identify anomalies based on battery system capacity decay, this method acquires vehicle information for multiple vehicles and groups them based on this information. Simultaneously, it integrates and divides the discharge and charging data of each vehicle's battery system in one driving cycle to obtain the charge / discharge energy efficiency of each battery system. Finally, it compares this energy efficiency with a preset energy efficiency and determines whether any anomalies exist in the battery systems of each vehicle in each group. By calculating the charge / discharge energy efficiency of each battery system using the discharge and charging data of each vehicle in one driving cycle, the method can determine the degree of degradation in the battery system's charge / discharge capacity. This allows for anomaly identification of the vehicle battery system based on the factor of reduced charge / discharge capacity, ensuring the normal operation of the vehicle battery system.

[0089] Furthermore, to better illustrate the process of identifying anomalies in a battery system based on the factor of decreased charging and discharging capacity, as a refinement and extension of the above embodiments, this invention provides another method for identifying anomalies in a vehicle battery system, such as... Figure 2 As shown, the method includes:

[0090] 201. Obtain vehicle information for multiple vehicles.

[0091] The vehicle information includes data such as vehicle operating time, mileage, ambient temperature and humidity, and individual battery voltage, current, temperature, and cumulative throughput.

[0092] In this embodiment of the invention, the process of the cloud system obtaining vehicle information of all vehicles is exactly the same as step 101, and will not be repeated here.

[0093] 202. Based on the vehicle information, the multiple vehicles are grouped to obtain multiple groups of vehicles.

[0094] The vehicle information includes running time, mileage, ambient temperature and humidity, and individual battery data.

[0095] In an embodiment of the present invention, as an optional implementation of the grouping process for multiple vehicles, the method includes: grouping vehicles among the multiple vehicles whose operating time differs by no more than a first preset range, whose mileage differs by no more than a second preset range, whose ambient temperature differs by no more than a third preset range, and whose individual battery data differs by no more than a fourth preset range into one group, thus obtaining the multiple groups of vehicles. Specifically, based on data such as the operating time, mileage, ambient temperature and humidity, and the voltage, current, temperature, and cumulative throughput of each vehicle's individual batteries, vehicles with similar operating conditions can be grouped together, that is, vehicles with similar humidity, temperature, mileage, and cumulative throughput can be grouped together. Vehicles with similar operating conditions refer to those whose operating time differs by no more than the first preset range, whose mileage differs by no more than the second preset range, whose ambient temperature differs by no more than the third preset range, and whose individual battery data differs by no more than the fourth preset range. The first, second, third, and fourth preset ranges can be set according to actual business needs, and the embodiments of the present invention do not specifically limit them.

[0096] For example, vehicles with humidity levels not exceeding 5%, temperature levels not exceeding 5℃, mileage not exceeding 1000km, and cumulative throughput not exceeding 50*E rated can be grouped together to obtain multiple groups of vehicles.

[0097] It should be noted that the vehicle information used in the vehicle grouping in this embodiment of the invention is not limited to the above-mentioned types of vehicle information, but can also be other information. This embodiment of the invention does not make specific limitations on this.

[0098] 203. Determine the depth of discharge of the battery system of each vehicle in each group of vehicles, and compare the depth of discharge with a preset depth of discharge. Based on the comparison result, determine whether the discharge data and the charging data are target cycle data.

[0099] In this embodiment of the invention, in order to ensure the accuracy of anomaly detection in the battery system, before calculating the charge-discharge energy efficiency of the battery system of each vehicle in each group of vehicles based on the discharge data and charging data, it is necessary to compare the discharge depth with a preset discharge depth. Based on the comparison result, it is determined whether the discharge data and charging data are target cycle data. If the discharge data and charging data are target cycle data, they are used to calculate the charge-discharge energy efficiency of the battery system of each vehicle in each group of vehicles; if the discharge data and charging data are not target cycle data, they are not used in the calculation.

[0100] When determining whether discharge and charging data are target cycle data, the depth of discharge of each vehicle's battery system is first determined based on the initial and remaining battery capacity of each vehicle in each group. This depth of discharge is then compared to a preset depth of discharge. If the depth of discharge is greater than or equal to the preset depth of discharge, the discharge and charging data are determined to be target cycle data; otherwise, if the depth of discharge is less than the preset depth of discharge, the discharge and charging data are determined not to be target cycle data. The preset depth of discharge can be set according to actual business needs, and this embodiment of the invention does not impose specific limitations on it.

[0101] For example, if the depth of discharge of a vehicle's battery system is greater than or equal to 70%, then the discharge and charging data of that battery system are determined to be target cycle data; if the depth of discharge of a vehicle's battery system is less than 70%, then the discharge and charging data of that battery system are determined not to be target cycle data.

[0102] 204. If the discharge data and the charging data are target cycle data, then integrate the discharge data and the charging data respectively and divide them to obtain the charge and discharge energy efficiency of each battery system.

[0103] The discharge data includes data such as current, temperature, and discharge energy of the battery system during the discharge process, while the charging data includes data such as current, temperature, and charging energy of the battery system during the charging process.

[0104] In this embodiment of the invention, when the discharge data and charging data are target cycle data, the charge-discharge energy efficiency of the battery system can be calculated based on the discharge data and charging data. Therefore, step 204 specifically includes: multiplying the current and voltage in the discharge data to obtain a first power, and integrating the first power over time to obtain the net discharge energy of each battery system in the driving discharge cycle; multiplying the current and voltage in the charging data to obtain a second power, and integrating the second power over time to obtain the net charging energy of each battery system in the driving charging cycle; calculating the energy ratio between the net discharge energy and the net charging energy, and determining the energy ratio as the charge-discharge energy efficiency of each battery system. Further, calculating the energy ratio between the net discharge energy and the net charging energy, and determining the energy ratio as the charge-discharge energy efficiency of each battery system, includes: dividing the net discharge energy and the net charging energy to obtain the energy ratio.

[0105] Specifically, when the vehicle's battery system is fully charged, it marks the start of the current driving cycle. While the vehicle is in motion, the battery system discharges. During this time, the battery management module analyzes data such as current, temperature, and discharge energy during the discharge process and uploads this data to the cloud system. Upon receiving this data, the cloud system records this discharge process as driving discharge cycle 1 and calculates the net discharge energy E1 based on the current, temperature, and discharge energy data. Further, when the vehicle is fast-charging according to the normal procedure, the battery management module analyzes data such as current, temperature, and charging energy during the charging process and uploads this data to the cloud system. Upon receiving this data, the cloud system records this charging process as driving charging cycle 2 and calculates the net charging energy E2 based on the current, temperature, and charging energy data. Finally, the battery system's charge / discharge energy efficiency η is calculated as η = E1 / E2 * 100%.

[0106] It should be noted that, in this embodiment of the invention, the cloud system can also obtain the charging capacity of all individual cells of the vehicle power battery pack within a certain voltage range under a specific environment based on data such as current, temperature, and charging energy during the charging process. Then, by dividing the net discharge energy E1 by the charging capacity, the charging and discharging energy efficiency of the battery system can also be obtained.

[0107] 205. Compare the charge / discharge energy efficiency with the preset charge / discharge energy efficiency, and determine whether there is any abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result.

[0108] In an embodiment of the present invention, as an optional implementation, the specific calculation process for the preset charge-discharge energy efficiency includes: adding the charge-discharge energy efficiencies of the battery systems of each vehicle in each group of vehicles to obtain the total energy efficiency of each group of vehicles; dividing the total energy efficiency by the number of vehicles in each group to obtain the average energy efficiency of each group of vehicles; and determining the average energy efficiency as the preset charge-discharge energy efficiency. Further, to determine whether there is an abnormality in the battery systems of each vehicle in each group of vehicles, step 205 specifically includes: calculating the difference between the preset charge-discharge energy efficiency and the charge-discharge energy efficiency of the battery system of any one vehicle in each group; if the difference is greater than or equal to the preset difference, then it is determined that the battery system of any one vehicle is abnormal.

[0109] Specifically, within the same group of vehicles, by performing an effective cycle data analysis on each vehicle, the charge-discharge energy efficiency η1 to η of each battery system in that group can be obtained. n Then, the average charge / discharge energy efficiency η of the battery system of each vehicle in the group is calculated, which is the preset charge / discharge energy efficiency. Further, for the battery system of the x-th vehicle, if its charge / discharge energy efficiency satisfies η-η x If the difference is greater than or equal to the preset value, it indicates that the charging and discharging energy efficiency of the battery system of vehicle x is significantly different from that of other vehicles in the same group with similar operating conditions. Therefore, it is determined that the battery system of vehicle x is abnormal, and a warning message is sent. Conversely, if the charging and discharging energy efficiency of the battery system of vehicle x satisfies η-η x If the preset difference is less than a certain threshold, it indicates that the charge / discharge energy efficiency of the battery system of vehicle x is similar to that of other vehicles in the same group with similar operating conditions, thus confirming that the battery system of vehicle x is not abnormal. Therefore, this method can prioritize the identification of abnormal battery systems, thereby enabling early mitigation of battery system safety risks.

[0110] This invention provides another method for anomaly identification of vehicle battery systems. Compared with existing methods that identify anomalies based on battery system capacity decay, this method can acquire vehicle information for multiple vehicles and group them into multiple groups. Simultaneously, it integrates and divides the discharge and charging data of each vehicle's battery system in one driving cycle to obtain the charge / discharge energy efficiency of each battery system. Finally, it compares this energy efficiency with a preset energy efficiency and determines whether there are any anomalies in the battery systems of each vehicle in each group based on the comparison results. Therefore, by calculating the charge / discharge energy efficiency of each battery system using the discharge and charging data of each vehicle in one driving cycle, the degree of degradation in the battery system's charge / discharge capacity can be determined. This allows for anomaly identification of the vehicle battery system based on the factor of reduced charge / discharge capacity, ensuring the normal operation of the vehicle battery system.

[0111] Furthermore, as Figure 1 In specific implementation, embodiments of the present invention provide an anomaly identification device for a vehicle battery system, such as... Figure 3 As shown, the device includes: an acquisition unit 31, a grouping unit 32, a calculation unit 33, and a determination unit 34.

[0112] The acquisition unit 31 can be used to acquire vehicle information corresponding to multiple vehicles respectively.

[0113] The grouping unit 32 can be used to group the multiple vehicles based on the vehicle information to obtain multiple groups of vehicles.

[0114] The calculation unit 33 can be used to integrate and divide the discharge and charging data of the battery system of each vehicle in each group of vehicles in one driving cycle to obtain the charge and discharge energy efficiency of each battery system.

[0115] The determination unit 34 can be used to compare the charge-discharge energy efficiency with the preset charge-discharge energy efficiency, and determine whether there is an abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result.

[0116] In specific application scenarios, the computing unit 33, such as Figure 4 As shown, it includes: a first calculation module 331 and a first determination module 332.

[0117] The first calculation module 331 can be used to multiply the current and voltage in the discharge data to obtain a first power, and integrate the first power over time to obtain the net discharge energy of each battery system in the driving discharge cycle.

[0118] The first calculation module 331 can also be used to multiply the current and voltage in the charging data to obtain the second power, and integrate the second power over time to obtain the net charging energy of each battery system in the driving charging cycle.

[0119] The first determining module 332 can be used to calculate the energy ratio between the net discharge energy and the net charge energy, and determine the energy ratio as the charge and discharge energy efficiency of each battery system.

[0120] In a specific application scenario, the first determining module 332 can be used to divide the net discharge energy and the net charging energy to obtain the energy ratio.

[0121] In specific application scenarios, the device further includes a determining unit 35.

[0122] The determining unit 35 can be used to determine the depth of discharge of the battery system of each vehicle in each group of vehicles.

[0123] The determination unit 34 can also be used to compare the discharge depth with a preset discharge depth, and determine whether the discharge data and the charging data are target cycle data based on the comparison result.

[0124] The calculation unit 33 can be specifically used to integrate the discharge data and the charging data respectively and then divide them to obtain the charge and discharge energy efficiency of each battery system if the discharge data and the charging data are target cycle data.

[0125] In a specific application scenario, the determination unit 34 can be used to determine that the discharge data and the charging data are target cycle data if the discharge depth is greater than or equal to a preset discharge depth; and to determine that the discharge data and the charging data are not target cycle data if the discharge depth is less than the preset discharge depth.

[0126] In specific application scenarios, the calculation unit 33 can also be used to add the charging and discharging energy efficiencies of the battery systems of each vehicle in each group of vehicles to obtain the total energy efficiency of each group of vehicles, and divide the total energy efficiency by the number of vehicles in each group to obtain the average energy efficiency of each group of vehicles; and determine the average energy efficiency as the preset charging and discharging energy efficiency.

[0127] In a specific application scenario, the determination unit 34 includes: a second calculation module 341 and a second determination module 342.

[0128] The second calculation module 341 can be used to calculate the difference between the preset charge and discharge energy efficiency and the charge and discharge energy efficiency of the battery system of any one of the vehicles.

[0129] The second determining module 342 can be used to determine that the battery system of any vehicle is abnormal if the difference is greater than or equal to a preset difference.

[0130] In specific application scenarios, the vehicle information includes running time, mileage, ambient temperature and humidity, and individual battery data. The grouping unit 32 can be used to group vehicles among the multiple vehicles whose running time does not differ by a first preset range, whose mileage does not differ by a second preset range, whose ambient temperature does not differ by a third preset range, and whose individual battery data does not differ by a fourth preset range into a group, thus obtaining the multiple groups of vehicles.

[0131] It should be noted that other corresponding descriptions of the functional modules involved in the anomaly identification device for a vehicle battery system provided in this embodiment of the invention can be found in [reference needed]. Figure 1 The corresponding description of the method shown will not be repeated here.

[0132] Based on the above, Figure 1 Accordingly, this embodiment of the invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the following steps: acquiring vehicle information corresponding to multiple vehicles; grouping the multiple vehicles based on the vehicle information to obtain multiple groups of vehicles; integrating and dividing the discharge and charging data of the battery system of each vehicle in each group during one driving cycle to obtain the charge-discharge energy efficiency of each battery system; comparing the charge-discharge energy efficiency with a preset charge-discharge energy efficiency, and determining whether there is an abnormality in the battery system of each vehicle in each group based on the comparison result.

[0133] Based on the above, Figure 1 The method shown and as Figure 3 The embodiment of the device shown in the invention also provides a physical structural diagram of an electronic device, such as... Figure 5As shown, the electronic device includes: a processor 41, a memory 42, and a computer program stored in the memory 42 and executable on the processor. Both the memory 42 and the processor 41 are mounted on a bus 43. When the processor 41 executes the program, it performs the following steps: acquiring vehicle information corresponding to multiple vehicles; grouping the multiple vehicles based on the vehicle information to obtain multiple groups of vehicles; integrating and dividing the discharge and charging data of the battery system of each vehicle in each group during a driving cycle to obtain the charge / discharge energy efficiency of each battery system; comparing the charge / discharge energy efficiency with a preset charge / discharge energy efficiency, and determining whether there is an abnormality in the battery system of each vehicle in each group based on the comparison result.

[0134] This invention calculates the charge and discharge energy efficiency of each battery system by using the discharge and charge data of each vehicle's battery system in one driving cycle. This allows for the determination of the degree of degradation in the battery system's charge and discharge capacity, thereby enabling anomaly identification of the vehicle battery system based on the factor of degraded charge and discharge capacity, and ensuring the normal operation of the vehicle battery system.

[0135] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0136] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for anomaly identification in a vehicle battery system, characterized in that, include: Obtain vehicle information for multiple vehicles; Based on the vehicle information, the multiple vehicles are grouped to obtain multiple groups of vehicles; If the discharge and charging data of the battery system of each vehicle in each group of vehicles in one driving cycle are the target cycle data, then the discharge data and the charging data are integrated and divided to obtain the charge and discharge energy efficiency of each battery system; wherein, the target cycle data refers to the discharge data and charging data of the battery system when the discharge depth is greater than or equal to the preset discharge depth in one driving cycle. The charging and discharging energy efficiency is compared with the preset charging and discharging energy efficiency, and the comparison result is used to determine whether there is any abnormality in the battery system of each vehicle in each group of vehicles.

2. The method according to claim 1, characterized in that, If the discharge and charging data of the battery system of each vehicle in each group of vehicles in one driving cycle are the target cycle data, then the discharge data and the charging data are integrated and divided to obtain the charge and discharge energy efficiency of each battery system, including: Multiply the current and voltage in the discharge data to obtain the first power, and integrate the first power over time to obtain the net discharge energy of each battery system in the driving discharge cycle. Multiply the current and voltage in the charging data to obtain the second power, and integrate the second power over time to obtain the net charging energy of each battery system in the driving charging cycle. Calculate the energy ratio between the net discharge energy and the net charge energy, and determine the energy ratio as the charge / discharge energy efficiency of each battery system.

3. The method according to claim 2, characterized in that, The calculation of the energy ratio between the net discharge energy and the net charge energy includes: The energy percentage is obtained by dividing the net discharge energy by the net charge energy.

4. The method according to claim 1, characterized in that, Before integrating and dividing the discharge and charge data of each vehicle's battery system in one driving cycle to obtain the charge / discharge energy efficiency of each battery system, if the discharge and charge data of each vehicle in each group of vehicles are the target cycle data, the method further includes: Determine the depth of discharge of the battery system of each vehicle in each group of vehicles; The discharge depth is compared with a preset discharge depth, and the discharge data and charging data are determined to be target cycle data based on the comparison result.

5. The method according to claim 4, characterized in that, The step of comparing the discharge depth with a preset discharge depth and determining whether the discharge data and the charging data are target cycle data based on the comparison result includes: If the depth of discharge is less than the preset depth of discharge, then the discharge data and the charging data are determined not to be target cycle data.

6. The method according to any one of claims 1-5, characterized in that, Before comparing the charge / discharge energy efficiency with a preset charge / discharge energy efficiency and determining whether there is an abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result, the method further includes: The charging and discharging energy efficiencies of the battery systems of each vehicle in each group are added together to obtain the total energy efficiency of each group of vehicles. The total energy efficiency is then divided by the number of vehicles in each group to obtain the average energy efficiency of each group of vehicles. The average energy efficiency is determined as the preset charge / discharge energy efficiency; The step of comparing the charge / discharge energy efficiency with a preset charge / discharge energy efficiency, and determining whether there is an abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result, includes: Calculate the difference between the preset charge / discharge energy efficiency and the charge / discharge energy efficiency of the battery system of any one of the vehicles. If the difference is greater than or equal to a preset difference, then it is determined that the battery system of any of the vehicles is abnormal.

7. The method according to any one of claims 1-5, characterized in that, The vehicle information includes runtime, mileage, ambient temperature, and individual battery data. Based on this vehicle information, the multiple vehicles are grouped to obtain multiple vehicle groups, including: Vehicles with similar operating times (not exceeding a first preset range), similar mileage (not exceeding a second preset range), similar temperatures (not exceeding a third preset range), and similar individual battery data (not exceeding a fourth preset range) are grouped together to obtain the multiple groups of vehicles.

8. An anomaly detection device for a vehicle battery system, characterized in that, include: The acquisition unit is used to acquire vehicle information corresponding to multiple vehicles respectively; A grouping unit is used to group the multiple vehicles based on the vehicle information to obtain multiple groups of vehicles; The calculation unit is used to integrate and divide the discharge data and charging data of the battery system of each vehicle in each group of vehicles in one driving cycle if the discharge data and charging data are the target cycle data, so as to obtain the charge and discharge energy efficiency of each battery system; wherein, the target cycle data refers to the discharge data and charging data of the battery system when the discharge depth is greater than or equal to the preset discharge depth in one driving cycle. The determination unit is used to compare the charge-discharge energy efficiency with the preset charge-discharge energy efficiency, and determine whether there is an abnormality in the battery system of each vehicle in each group of vehicles based on the comparison result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

Images