Evaluation method, device and equipment of battery health state, medium and program product

Abstract

The invention provides a battery health state assessment method and device, equipment, a medium and a program product, and relates to the technical field of power batteries. The method comprises the following steps: acquiring whole vehicle monitoring data of a target vehicle in a preset period, wherein the whole vehicle monitoring data comprises a charging state and charging data meeting a general standard; based on the charging state, screening at least one group of charging data corresponding to the parking charging state from the whole vehicle monitoring data; based on each group of charging data, determining health state evaluation data of the corresponding group of charging data; and determining an evaluation result of the battery health state of the target vehicle based on the health state evaluation data corresponding to the whole vehicle monitoring data and the health state evaluation data corresponding to the recent historical period. Through standardized data acquisition and a flexible evaluation mechanism, the method can be suitable for various types of vehicles and batteries, and does not need to depend on specific conditions such as high-precision data input or a specific battery cycle model, thereby remarkably improving the universality of battery health state evaluation.

Description

Technical Field

[0001] The present application relates to the field of power battery technology, and in particular to a battery health status assessment method, device, equipment, medium and program product. Background Art

[0002] With the rapid development of new energy vehicles, their application in the field of operation has expanded rapidly, becoming an important force in promoting green travel. However, for operating companies, how to accurately grasp the actual health status (State of Health, SOH) of different vehicles in the fleet, especially different batteries, has become a key challenge to improve operational efficiency and reduce maintenance costs.

[0003] Related technologies usually rely on high-precision data input and specific battery cycle models to evaluate the battery health status, but they only perform well under specific conditions. For operating companies, their fleets usually consist of multiple types of vehicles, and different vehicles use a variety of battery types, which makes the existing battery health status assessment not universal. Summary of the invention

[0004] The present application provides a battery health status assessment method, device, equipment, medium and program product to improve the universality of battery health status assessment.

[0005] In a first aspect, the present application provides a method for evaluating a battery health status, comprising:

[0006] Obtaining the whole vehicle monitoring data of the target vehicle within a preset period, the whole vehicle monitoring data including the charging status and charging data that conform to the general standards;

[0007] Based on the charging state, at least one set of charging data corresponding to the parking charging state is selected from the vehicle monitoring data;

[0008] Based on each group of charging data, determining health status assessment data of the corresponding group of charging data, the health status assessment data including a health status assessment value and a charge state change amount;

[0009] Based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, the assessment result of the battery health status of the target vehicle is determined.

[0010] In one possible implementation, based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, an assessment result of the battery health status of the target vehicle is determined, including: based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, determining a target number of health status assessment data with a top ranking in terms of charge state change; based on the target number of health status assessment data, determining an assessment result of the battery health status of the target vehicle.

[0011] In one possible implementation, based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, a target number of health status assessment data with a high ranking in terms of state of charge change is determined, including: based on a preset state of charge change threshold, from the health status assessment data corresponding to the whole vehicle monitoring data, health status assessment data with a state of charge change less than the state of charge change threshold is eliminated to obtain eliminated data; based on the eliminated data and the health status assessment data corresponding to the most recent historical period, a target number of health status assessment data with a high ranking in terms of state of charge change is determined.

[0012] In a possible implementation, based on a target number of health status assessment data, determining an assessment result of the battery health status of the target vehicle includes: determining an average of health status assessment values ​​in the target number of health status assessment data as the assessment result of the battery health status.

[0013] In a possible implementation, based on a target number of health status assessment data, determining an assessment result of the battery health status of a target vehicle includes: determining a first value based on the sum of the product of each health status assessment value and the charge state change amount in the target number of health status assessment data; determining a second value based on the sum of each charge state change amount in the target number of health status assessment data; determining the quotient of the first value and the second value as the battery health status assessment result;

[0014] Or, determine a third value based on the sum of the products of each health status assessment value in the target number of health status assessment data and the state of charge variable; determine a fourth value based on the sum of the state of charge variable in each health status assessment data in the target number of times; determine the quotient of the third value and the fourth value as the assessment result of the battery health status, and the state of charge variable includes the square of the state of charge change and the cube of the state of charge change.

[0015] In one possible implementation, the target number is determined as follows: if the total number of health status assessment data corresponding to the charging data and the preset historical period is greater than or equal to the preset set number, the target number is determined to be the set number; if the total number of health status assessment data corresponding to the charging data and the preset historical period is less than the set number, the target number is determined to be the total number.

[0016] In a possible implementation, the battery health status evaluation method further includes: recording the total number of times when the total number of times is less than a set number; and filtering abnormal data based on the total number of times when an abnormality is detected in the evaluation result.

[0017] In a possible implementation, each group of charging data includes the state of charge and current at different times during a single charging process. Based on each group of charging data, determining the health status assessment data of the corresponding group of charging data includes: determining that the difference between the maximum state of charge and the minimum state of charge in the i-th group of charging data is the change in the state of charge for the i-th charging, where i is a positive integer; based on the time corresponding to the j-th charging data in the i-th group of charging data and the time corresponding to the j-1-th charging data, determining the j-th time difference between the j-th charging data and the j-1-th charging data, where j is a positive integer greater than 1; determining the product of the j-th time difference and the current in the j-th charging data as the target value corresponding to the j-th charging data; determining a fifth value based on the sum of the target values ​​corresponding to each charging data in the i-th group of charging data; determining a ratio of the fifth value to the charge state change as the converted capacity of the i-th charging; determining a ratio of the converted capacity to the rated capacity as the health status assessment value of the i-th charging; obtaining the health status assessment data of the corresponding group of charging data based on the charge state change of the i-th charging and the health status assessment value of the i-th charging.

[0018] In a second aspect, the present application provides a battery health status assessment device, comprising:

[0019] An acquisition module is used to acquire the whole vehicle monitoring data of the target vehicle within a preset period, and the whole vehicle monitoring data includes the charging status and charging data that conform to the general standards;

[0020] A screening module, used for screening at least one set of charging data corresponding to the parking charging state from the vehicle monitoring data based on the charging state;

[0021] A determination module, configured to determine health status assessment data of a corresponding group of charging data based on each group of charging data, wherein the health status assessment data includes a health status assessment value and a charge state change amount;

[0022] The processing module is used to determine the evaluation result of the battery health status of the target vehicle based on the health status evaluation data corresponding to the whole vehicle monitoring data and the health status evaluation data corresponding to the most recent historical period.

[0023] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0024] Memory for storing computer-executable instructions;

[0025] A processor is used to execute computer-executable instructions stored in the memory to implement the method described in any one of the first aspects.

[0026] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed, they are used to implement any method described in the first aspect.

[0027] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the method described in any one of the first aspects when executed.

[0028] The battery health status assessment method, device, equipment, medium and program product provided in the present application obtain the whole vehicle monitoring data of the target vehicle within a preset period, and the whole vehicle monitoring data includes the charging status and charging data that meet the general standards; based on the charging status, at least one group of charging data corresponding to the parking charging status is screened from the whole vehicle monitoring data; and based on each group of charging data, the health status assessment data of the corresponding group of charging data is determined, and the health status assessment data includes a health status assessment value and a charge state change; further, based on the health status assessment data corresponding to the whole vehicle monitoring data, and the health status assessment data corresponding to the most recent historical period, the assessment result of the battery health status of the target vehicle is determined. In this process, through standardized data acquisition and flexible evaluation mechanisms, it can be applied to various types of vehicles and batteries without relying on specific conditions such as high-precision data input or specific battery cycle models, thereby significantly improving the universality of battery health status assessment; at the same time, since no additional equipment investment or specific battery cycle model support is required, the implementation cost and technical complexity are significantly reduced, which is convenient for large-scale promotion and application; in addition, by screening the charging data of the parking charging status and analyzing it in combination with the data of the recent historical cycle, real-time monitoring and historical tracking of the battery health status can be achieved, which helps operating companies to timely grasp the health status of the battery in each vehicle, facilitates refined management, and provides strong support for battery selection and fleet management decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0030] Figure 1 A schematic diagram of an application scenario of a battery health status evaluation method provided by an exemplary embodiment of the present application;

[0031] Figure 2 A flowchart of a method for evaluating a battery health status provided by an exemplary embodiment of the present application;

[0032] Figure 3 Another flowchart of a method for evaluating a battery health status provided by an exemplary embodiment of the present application;

[0033] Figure 4 A schematic diagram of a battery health status evaluation device provided by an exemplary embodiment of the present application;

[0034] Figure 5 A schematic diagram of the structure of an electronic device provided for an exemplary embodiment of the present application.

[0035] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0036] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0037] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable in appropriate circumstances, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, products or equipment.

[0038] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0039] First, the terms involved in this application are explained:

[0040] State of Charge (SOC): refers to the current state of charge of the battery, that is, the ratio of the remaining battery power to the power when it is fully charged, usually expressed as a percentage; SOC is an important indicator for evaluating the available energy of the battery. For the driver, it is similar to the fuel gauge in a fuel vehicle, which is used to help determine the vehicle's range.

[0041] State of Health (SOH): refers to the health status of the battery, which also refers to the degree of battery aging, reflecting the ratio between the current performance of the battery and the performance of a new battery. A decrease in SOH means that the maximum storage capacity of the battery is reduced, which directly affects the endurance and charging efficiency of electric vehicles. SOH is also usually expressed as a percentage.

[0042] Rated Capacity (RC) refers to the maximum amount of charge that a new battery can theoretically provide under specific discharge conditions (such as constant current), measured in ampere-hours (Ah). Rated capacity is one of the standards for measuring the original performance of a battery and is also an important parameter for users to refer to when purchasing.

[0043] Estimated Capacity (EC): Different from the rated capacity, the estimated capacity refers to the current maximum charge estimated based on the actual discharge curve and historical data of the battery during use. As the battery ages and the usage conditions change, the estimated capacity will gradually be lower than the rated capacity. The estimated capacity is a dynamic indicator that reflects the actual performance of the battery.

[0044] Considering that the fleet of an operating company is usually composed of multiple types of vehicles and the battery types used in different vehicles are also diverse, the battery health status assessment in related technologies usually relies on high-precision data input and specific battery cycle models. In the actual operating environment, different operating companies may face problems such as inconsistent data acquisition equipment and unstable data quality, which may make it difficult to obtain high-precision data. In addition, since it needs to rely on a specific battery cycle model, it means that when faced with different types of batteries or usage conditions, the battery cycle model may not accurately reflect the true state of the battery, resulting in the evaluation results performing well only under specific conditions (such as a specific brand). The accuracy and consistency across brands or technology platforms are challenged, which makes the existing battery health status assessment not universal and limits its wide application in operating companies.

[0045] In order to solve the above problems, the embodiment of the present application provides a battery health status assessment scheme, which can cover all new energy vehicles that meet the standard by adopting a universal standard to obtain vehicle monitoring data; by combining the health status assessment data of the vehicle monitoring data within a preset period, and the health status assessment data of the most recent historical period, the assessment result of the battery health status can be accurately determined without relying on specific conditions such as high-precision data input or specific battery cycle models, etc., so that the battery health status assessment has the characteristics of high flexibility, low threshold and strong versatility, which is convenient for large-scale promotion and application, and low cost, thereby significantly improving the universality of the battery health status assessment.

[0046] Figure 1 Schematic diagram of an application scenario of a battery health status evaluation method provided by an exemplary embodiment of the present application. Figure 1 As shown, the application scenario includes a vehicle 11, a client 12 and a server 13, wherein the number of the client 12 can be at least one. In actual application, after the vehicle 11 is started, the relevant data of the vehicle 11 is uploaded to the service platform of the vehicle manufacturer (i.e., the client 12) at a preset time interval, such as 1s; the client 12 uploads the vehicle monitoring data of the vehicle 11 to the server 13 at a preset period, such as a fixed time every day; correspondingly, when the server 13 detects the vehicle monitoring data of the vehicle 11 submitted by the client 12 within the preset period, it executes the battery health status evaluation method provided in this application to determine the evaluation result of the battery health status of the vehicle 11.

[0047] It should be noted that the server 13 may also be replaced by a server cluster or other computing devices with certain computing power. The client 12 may be a server, a server cluster or other computing devices with certain computing power.

[0048] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0049] Figure 2 A flow chart of a method for evaluating the battery health status provided by an exemplary embodiment of the present application. Figure 2 As shown, the battery health status assessment method includes the following steps:

[0050] S201. Obtaining whole vehicle monitoring data of a target vehicle within a preset period, where the whole vehicle monitoring data includes a charging status and charging data that conform to general standards.

[0051] For example, the general standard is GB / T 32960 "Technical Specifications for Remote Service and Management Systems for Electric Vehicles". It should be noted that GB / T 32960 "Technical Specifications for Remote Service and Management Systems for Electric Vehicles" is only an example of a general standard, and the general standard is not limited here.

[0052] Correspondingly, if Figure 1 As shown, the client 12 uploads the whole vehicle monitoring data of the target vehicle to the server 13 according to a preset cycle, such as 24:00 every day; accordingly, the server 13 receives the whole vehicle monitoring data of the target vehicle within 1 day submitted by the client 12, wherein the whole vehicle monitoring data includes the charging status and charging data that conform to general standards.

[0053] S202: Based on the charging status, at least one set of charging data corresponding to the parking charging status is selected from the vehicle monitoring data.

[0054] Among them, the charging state includes but is not limited to the parking charging state and the driving charging state; combined with a large amount of data analysis, it is found that when the vehicle is charged while driving, the current may fluctuate violently due to the influence of dynamic factors such as acceleration, deceleration, and uphill and downhill of the vehicle. This fluctuation makes it difficult to obtain high-precision results when accumulating power within a short time interval (for example, 30 seconds or less), mainly because the instability of the current leads to a large accumulation error; when the vehicle is charged while stationary (i.e., the parking charging state), the current is relatively stable due to the lack of load changes caused by vehicle movement. In this state, the power data changes very little every 30 seconds. After evaluation, it is found that the error of the single charging capacity in this case is less than 0.2%, which is almost negligible. Therefore, the data in the parking charging state is more stable and accurate, and is suitable for evaluating the battery health status.

[0055] Accordingly, based on the charging status, the charging data corresponding to the parking charging status is filtered from the vehicle monitoring data. These charging data can be one group or multiple groups; specifically, different charging events are distinguished by time intervals such as greater than 10 minutes, 15 minutes or 20 minutes. For example, the charging data from 9:10 to 9:30 on a certain day can be regarded as a group of charging data, corresponding to the first charging event of the day; and the charging data from 9:50 to 12:30 can be regarded as another group of charging data, corresponding to the second charging event of the day, etc.

[0056] S203: Based on each group of charging data, determine health status assessment data of the corresponding group of charging data, where the health status assessment data includes a health status assessment value and a charge state change amount.

[0057] For example, based on the i-th group of charging data, the health status assessment data of the i-th group of charging data is determined, and the health status assessment data corresponding to the i-th group of charging data includes a health status assessment value soh i and the change in state of charge ΔSOC i .

[0058] S204: Determine an evaluation result of the battery health status of the target vehicle based on the health status evaluation data corresponding to the whole vehicle monitoring data and the health status evaluation data corresponding to the most recent historical period.

[0059] Among them, vehicle monitoring data also includes time and mileage.

[0060] For example, in one implementation, health status assessment data of, for example, the last 15 days is obtained through the time dimension (i.e., calendar life); the health status assessment data corresponding to the current vehicle monitoring data and the health status assessment data of the last 15 days are combined to determine the assessment result of the battery health status of the target vehicle.

[0061] In another implementation, the health status assessment data of, for example, the last 2,000 kilometers is obtained through the mileage (i.e., mileage life), and the health status assessment data corresponding to the vehicle monitoring data and the health status assessment data of the last 2,000 kilometers are combined to determine the assessment result of the battery health status of the target vehicle.

[0062] It should be noted that the above-mentioned recent 15 days and recent 2,000 kilometers are only examples of recent historical periods, and the recent historical period is not limited here.

[0063] The battery health status assessment method provided in the embodiment of the present application can be applied to various types of vehicles and batteries through standardized data acquisition and flexible assessment mechanisms, without relying on specific conditions such as high-precision data input or specific battery cycle models, thereby significantly improving the universality of battery health status assessment; at the same time, since no additional equipment investment or specific battery cycle model support is required, the implementation cost and technical complexity are significantly reduced, which is convenient for large-scale promotion and application; in addition, by screening the charging data of the parking charging status and analyzing it in combination with the data of the recent historical cycle, real-time monitoring and historical tracking of the battery health status can be achieved, which helps operating companies to timely grasp the health status of the batteries in each vehicle, facilitates refined management, and provides strong support for battery selection and fleet management decisions.

[0064] In some embodiments, based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, an assessment result of the battery health status of the target vehicle is determined, including: based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, determining a target number of health status assessment data with a top ranking in terms of charge state change; based on the target number of health status assessment data, determining the assessment result of the battery health status of the target vehicle.

[0065] For example, the health status assessment data corresponding to the current vehicle monitoring data and the health status assessment data for example for the last 15 days are merged into one data set, and the merged data set is sorted in descending order according to the change in state of charge; from the sorted data set, several health status assessment data with the highest ranking in terms of state of charge change are selected, such as the first 10 times, the first 15 times or the first 20 times; based on the selected 10 health status assessment data, the assessment result of the battery health status of the target vehicle is determined.

[0066] The embodiment of the present application combines the health status assessment data of the current and historical cycles and filters out the charging data with the highest ranking in the charge state change, thereby ensuring that the data used for the assessment of the battery health status is more representative and reliable, avoiding assessment deviations caused by individual abnormal data, and thus more accurately reflecting the true health status of the battery; in addition, by selecting data with higher representativeness and reliability for evaluation, the amount of data calculation can also be reduced, which can effectively improve the efficiency of data processing; at the same time, combined with the data of the most recent historical cycle, it can dynamically track the changing trend of the battery health status, which helps to timely identify the decline or abnormality of battery performance, and support preventive maintenance and management decisions, thereby ensuring the optimal performance and service life of the battery.

[0067] Considering that the levels of different power battery management system manufacturers may vary and SOC drift is a common problem in battery management systems, based on the basic principle that the higher the change in state of charge, the more accurate the health status assessment data, the more accurate the health status assessment data is. Among them, SOC drift refers to the cumulative error that occurs when the battery management system estimates the battery's state of charge over time or as the charge and discharge cycle progresses. This error may cause the SOC estimate to be inconsistent with the actual state of the battery; the causes of SOC drift may include but are not limited to: at least one of: measurement error, inaccurate battery model, integral error, or changes in battery characteristics. Therefore, in some embodiments, based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, a target number of health status assessment data with a high ranking in terms of state of charge change are determined, including: based on a preset state of charge change threshold, from the health status assessment data corresponding to the whole vehicle monitoring data, health status assessment data with a state of charge change less than the state of charge change threshold are eliminated to obtain eliminated data; based on the eliminated data and the health status assessment data corresponding to the most recent historical period, a target number of health status assessment data with a high ranking in terms of state of charge change are determined.

[0068] For example, according to the existing big data model verification, when the state of charge change threshold is set between, for example, 20 and 30, the health status assessment data with large errors can be effectively screened out. Optionally, the state of charge change threshold is set to, for example, 25; correspondingly, from the health status assessment data corresponding to the vehicle monitoring data, the health status assessment data with a state of charge change of less than 25 is removed to obtain the removed data; based on the removed data and, for example, the health status assessment data corresponding to the last 15 days, the top 10 health status assessment data with a high ranking of state of charge change are determined.

[0069] In the embodiment of the present application, by setting a charge state change threshold and eliminating data with a small change, it is possible to effectively filter out data that contributes little to the health status assessment or may have errors, which helps to improve the accuracy of the battery health status assessment; in addition, since there is no need for the support of basic lithium battery cycle data, it is possible to effectively improve the low SOC accuracy problem that may exist in the original battery management system, which is simple and feasible, and improves its applicability; at the same time, by pre-screening the data, the amount of data that needs to be processed is reduced, thereby improving the efficiency of data processing, allowing the system to evaluate and make decisions on the health status more quickly.

[0070] Based on the above embodiments, in some embodiments, based on a target number of health status assessment data, an assessment result of the battery health status of the target vehicle is determined, including: determining the average of the health status assessment values ​​in the target number of health status assessment data as the assessment result of the battery health status.

[0071] For example, the battery health status satisfies the following formula:

[0072]

[0073] Among them, SOH refers to the battery health state, i refers to the i-th charge, soh i Refers to the health status evaluation value of the i-th charging, Refers to the target number, for example, the average of the health status assessment values ​​in 10 health status assessment data.

[0074] In the embodiment of the present application, by calculating the mean of the health status assessment data of a target number of times, the fluctuations and anomalies of individual data points can be smoothed, the assessment deviation caused by individual abnormal data can be reduced, and a more stable and reliable health status assessment result can be provided, thereby improving the accuracy of the battery health status assessment; in addition, since calculating the mean is a simple and effective data processing method, it reduces complex computing requirements, thereby improving the efficiency of the assessment process.

[0075] In some embodiments, an assessment result of the battery health status of a target vehicle is determined based on a target number of health status assessment data, including: determining a first value based on the sum of the products of each health status assessment value and the charge state change in the target number of health status assessment data; determining a second value based on the sum of the charge state change in each time in the target number of health status assessment data; and determining the quotient of the first value and the second value as the battery health status assessment result.

[0076] For example, the battery health status satisfies the following formula:

[0077] SOH=∑(soh i *ΔSOC i )÷∑ΔSOC i

[0078] Among them, ΔSOC i Refers to the charge state change of the i-th charging. Correspondingly, based on the target number, for example, each health state assessment value soh in 10 health state assessment data i and the change in state of charge ΔSOC i The sum of the products determines the first value ∑(soh i *ΔSOC i); based on the target number, for example, each state of charge change ΔSOC in 10 health status assessment data i The sum of the values ​​of ∑ΔSOC and ∑ΔSOC is used to determine the second value ∑ΔSOC. i ; Further, determine the first value ∑(soh i *ΔSOC i ) and the second value ∑ΔSOC i The quotient is the evaluation result of the battery health status.

[0079] In the embodiment of the present application, the evaluation result of a single battery health state is weighted by using the charge state change amount, which fully considers the impact of different charge and discharge amounts on the battery health state, making the evaluation result of the battery health state more representative.

[0080] In some embodiments, an assessment result of the battery health status of a target vehicle is determined based on a target number of health status assessment data, including: determining a third value based on the sum of the products of each health status assessment value in the target number of health status assessment data and the state of charge variable; determining a fourth value based on the sum of the state of charge variable in each health status assessment data in the target number of health status assessment data; determining the quotient of the third value and the fourth value as the assessment result of the battery health status, the state of charge variable including the square of the state of charge change and the cube of the state of charge change.

[0081] In one implementation, the battery health status satisfies the following formula:

[0082]

[0083] in, The third value is determined based on the sum of the product of each health status assessment value and the state of charge variable in the target number, such as 10 health status assessment data, and the i-th charge state change amount. Determine a fourth value based on the sum of each state of charge variable in the target number of health status assessment data Determine the third value With the fourth value The quotient is the evaluation result of the battery health status.

[0084] In another implementation, the battery health status satisfies the following formula:

[0085]

[0086] in, The third value is determined based on the sum of the product of each health status assessment value and the state of charge variable in the target number, such as 10 health status assessment data, and the i-th charge state change amount. Determine a fourth value based on the sum of each state of charge variable in the target number of health status assessment data Determine the third value With the fourth value The quotient is the evaluation result of the battery health status.

[0087] For example, based on the calculation results of different formulas, the dynamic fluctuation curve of SOH over time is drawn; in big data practice, it can be observed that based on the same target number of health status assessment data, The trend line of the obtained battery health status has good coupling with the straight line of the actual health status and low variance, which shows that it performs well in capturing the changing trend of the battery health status and helps to provide stable and reliable evaluation results.

[0088] The embodiment of the present application, by providing a variety of formulas for determining the battery health status, takes into account the impact of large changes on the evaluation results, thereby making the evaluation of the battery health status more detailed and further improving the accuracy of the battery health status evaluation results; and accurate battery health status evaluation helps operating companies optimize battery usage and maintenance strategies, which is of positive significance for extending battery life, reducing operating costs and improving overall efficiency.

[0089] In some embodiments, the target number is determined as follows: if the total number of health status assessment data corresponding to the charging data and the preset historical period is greater than or equal to a preset set number, the target number is determined to be the set number; if the total number of health status assessment data corresponding to the charging data and the preset historical period is less than the set number, the target number is determined to be the total number.

[0090] For example, if the total number of health status assessment data corresponding to the charging data and the preset historical period respectively 15 is greater than or equal to the preset set number, for example 10, then the target number is determined to be 10; if the total number of health status assessment data corresponding to the charging data and the preset historical period respectively 8 is less than 10, then the target number is determined to be 8.

[0091] It should be noted that the setting number 10 and the total number of times 8 are only examples and are not limited here.

[0092] In the embodiment of the present application, the target number is dynamically adjusted according to the actual data amount. When the data is sufficient, the preset set number is used to ensure the stability and consistency of the evaluation. When the data is insufficient, all available data is used for evaluation to ensure that no valuable information is missed. This can adapt to different data availability situations and ensure the flexibility of the evaluation process.

[0093] In some embodiments, the battery health status evaluation method further includes: recording the total number of times when the total number of times is less than a set number; and filtering abnormal data based on the total number of times when an abnormality is detected in the evaluation result.

[0094] For example, when the total number of times, such as 8, is less than the set number, such as 10, the total number of times 8 is recorded; and the battery health status is evaluated using the currently available 8 health status assessment data. The evaluation method may include weighted average and trend analysis, etc.; and the evaluation results are monitored to detect any abnormal conditions, such as sudden changes in the SOH value or inconsistency with the expected trend, etc. Optionally, anomaly detection can be achieved by setting thresholds, statistical analysis or machine learning algorithms, etc.; accordingly, when an abnormality is detected in the evaluation result, the total number of records (such as 8) is used to help filter out health status assessment data that may cause anomalies, focusing on analyzing abnormal data points that may be caused by insufficient data or data quality issues when the total number of times is small; and according to the results of the anomaly detection, the evaluation method or data screening strategy is adjusted to improve the accuracy and reliability of the evaluation; further, a detailed evaluation report can also be generated, which can include the current evaluation results of the battery health status, the total number of records, the anomaly detection results and related adjustment measures, etc.

[0095] In the embodiment of the present application, by recording the total number of times when the total number is less than the set number, insufficient data can be effectively identified. When an abnormality is detected in the evaluation result, this information is used to help more effectively screen abnormal data and determine whether the abnormality may be caused by insufficient data or data quality issues. In addition, by identifying abnormal data, it is also possible to promote timely adjustment of evaluation methods or data collection strategies, thereby improving the accuracy and reliability of future evaluations.

[0096] In some embodiments, each group of charging data includes the state of charge and current at different times during a single charging process. Based on each group of charging data, determining the health status assessment data of the corresponding group of charging data includes: determining that the difference between the maximum state of charge and the minimum state of charge in the i-th group of charging data is the change in the state of charge for the i-th charging, where i is a positive integer; based on the time corresponding to the j-th charging data in the i-th group of charging data and the time corresponding to the j-1-th charging data, determining the j-th time difference between the j-th charging data and the j-1-th charging data, where j is greater than 1; determine the product of the j-th time difference and the current in the j-th charging data as the target value corresponding to the j-th charging data; determine the fifth value based on the sum of the target values ​​corresponding to each charging data in the i-th group of charging data; determine the ratio of the fifth value to the charge state change as the converted capacity of the i-th charging; determine the ratio of the converted capacity to the rated capacity as the health status assessment value of the i-th charging; based on the charge state change of the i-th charging and the health status assessment value of the i-th charging, obtain the health status assessment data of the corresponding group of charging data.

[0097] For example, the charge state change ΔSOC of the i-th charging i Satisfies the following formula:

[0098] ΔSOC i =SOC max -SOC min

[0099] Among them, SOC max It refers to the maximum state of charge during the i-th charging process, SOC min It refers to the minimum state of charge during the i-th charging process, ΔSOC i Characterizes the SOC change ratio in the battery management system, usually expressed as a percentage.

[0100] The above-mentioned converted capacity is the total capacity C estimated for the i-th charge i Satisfies the following formula:

[0101] C i =∑I j *(T j -T j-1 ) / ΔSOC i

[0102] Among them, C i The unit is ampere-hour (Ah); j is the current in the jth charging data in the i-th charging, in ampere (A); T j -T j-1 is the time difference between the jth and j-1th bars in the i-th charging, in hours (h).

[0103] Accordingly, the health status evaluation value of the i-th charging is soh i Satisfies the following formula:

[0104]

[0105] Among them, C 0 It is the rated capacity of the power battery when it leaves the factory, and its unit is ampere-hour (Ah); soh i and ΔSOC i That is, the health status assessment data of the i-th group of charging data.

[0106] Figure 3 Another flowchart of a method for evaluating the battery health status provided by an exemplary embodiment of the present application is shown below. Figure 3 As shown, the battery health status assessment method includes the following steps:

[0107] S301. Obtaining whole vehicle monitoring data of a target vehicle within a preset period, where the whole vehicle monitoring data includes charging status and charging data that conform to general standards.

[0108] Among them, charging data includes but is not limited to time, mileage, state of charge and current.

[0109] For example, the general standard is GB / T 32960 "Technical Specifications for Electric Vehicle Remote Service and Management System" and the like.

[0110] S302: Based on the charging status, at least one set of charging data corresponding to the parking charging status is selected from the vehicle monitoring data.

[0111] S303 . For each group of charging data, based on the time, current and state of charge included in the charging data, determine the converted capacity of the corresponding group of charging data.

[0112] For example, the converted capacity of the i-th group of charging data is the estimated total capacity C of the i-th charging. i Satisfies the following formula:

[0113] C i =∑I j *(T j -T j-1 ) / ΔSOC i

[0114] Among them, C i The unit is ampere-hour (Ah); I j is the current in the jth charging data in the i-th charging, in ampere (A); T j -T j-1 is the time difference between the jth and j-1th bars in the i-th charging, in hours (h).

[0115] S304: Determine the ratio of the converted capacity to the quota capacity as a health status evaluation value of the corresponding group of charging data.

[0116] For example, the health status evaluation value soh for the i-th charging i Satisfies the following formula:

[0117]

[0118] Among them, C 0 It is the rated capacity of the power battery when it leaves the factory, and its unit is ampere-hour (Ah); soh i and ΔSOC i That is, the health status assessment data of the i-th group of charging data.

[0119] S305 , from the health status assessment data corresponding to the whole vehicle monitoring data, eliminate the health status assessment data whose state of charge change is less than the state of charge change threshold to obtain eliminated data.

[0120] For example, the charge state change threshold is set to 25; correspondingly, the health state assessment data corresponding to the whole vehicle monitoring data is removed from the charge state change less than 25 to obtain the removed data.

[0121] S306: Determine a target number of times of health status assessment data with the highest ranking in terms of SOC change according to the eliminated data and the health status assessment data corresponding to the most recent historical period.

[0122] For example, based on the data after elimination and the health status assessment data corresponding to, for example, the last 15 days, determine the top 10 health status assessment data with the highest charge state change; or, based on the data after elimination and the health status assessment data corresponding to, for example, the last 2000 kilometers, determine the top 10 health status assessment data with the highest charge state change.

[0123] S307: Determine an evaluation result of the battery health status of the target vehicle based on the target number of health status evaluation data.

[0124] For example, in one implementation, an average of health status assessment values ​​in a target number of health status assessment data is determined as an assessment result of the battery health status.

[0125] In another implementation, a first value is determined based on the sum of the products of each health status assessment value and the charge state change in the target number of health status assessment data; a second value is determined based on the sum of the charge state change in the target number of health status assessment data; and the quotient of the first value and the second value is determined as the evaluation result of the battery health status.

[0126] In another implementation, a third value is determined based on the sum of the products of each health status assessment value in the target number of health status assessment data and the state of charge variable; a fourth value is determined based on the sum of the state of charge variable in each target number of health status assessment data; and the quotient of the third value and the fourth value is determined as the assessment result of the battery health status, and the state of charge variable includes but is not limited to the square of the state of charge change and the cube of the state of charge change, etc.

[0127] In summary, this application has at least the following advantages:

[0128] First, through standardized data acquisition and flexible evaluation mechanisms, it can be applied to various types of vehicles and batteries without relying on specific conditions such as high-precision data input or specific battery cycle models, thereby significantly improving the universality of battery health status assessment; at the same time, since no additional equipment investment or specific battery cycle model support is required, the implementation cost and technical complexity are significantly reduced, facilitating large-scale promotion and application; in addition, by screening the charging data of the parking charging status and analyzing it in combination with the data of the recent historical cycle, real-time monitoring and historical tracking of the battery health status can be achieved, which helps operating companies to timely grasp the health status of the battery in each vehicle, facilitates refined management, and provides strong support for battery selection and fleet management decisions.

[0129] Second, by merging the health status assessment data of the current and historical cycles, and screening out the charging data with the highest ranking in the state of charge change, it is ensured that the data used for the assessment of the battery health status is more representative and reliable, avoiding assessment deviations caused by individual abnormal data, so as to more accurately reflect the true health status of the battery; in addition, by selecting more representative and reliable data for evaluation, the amount of data calculation can also be reduced, which can effectively improve the efficiency of data processing; at the same time, combined with the data of the recent historical cycle, it can dynamically track the changing trend of the battery health status, which helps to timely identify the decline or abnormality of battery performance, and support preventive maintenance and management decisions, thereby ensuring the optimal performance and service life of the battery.

[0130] 3. By setting the charge state change threshold and eliminating data with small changes, it is possible to effectively filter out data that contributes little to the health status assessment or may have errors, which helps to improve the accuracy of the battery health status assessment; in addition, since there is no need for the support of basic lithium battery cycle data, it can effectively improve the low SOC accuracy problem that may exist in the original battery management system. It is simple and feasible, which further improves its applicability.

[0131] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0132] Figure 4 A schematic diagram of a battery health status evaluation device provided by an exemplary embodiment of the present application. Figure 4 As shown, the battery health status evaluation device 40 includes an acquisition module 41, a screening module 42, a determination module 43 and a processing module 44, wherein:

[0133] An acquisition module 41 is used to acquire the whole vehicle monitoring data of the target vehicle within a preset period, where the whole vehicle monitoring data includes the charging state and charging data that conform to the general standards;

[0134] A screening module 42, for screening at least one set of charging data corresponding to the parking charging state from the vehicle monitoring data based on the charging state;

[0135] A determination module 43, configured to determine health status evaluation data of a corresponding group of charging data based on each group of charging data, wherein the health status evaluation data includes a health status evaluation value and a charge state change amount;

[0136] The processing module 44 is used to determine the evaluation result of the battery health status of the target vehicle based on the health status evaluation data corresponding to the whole vehicle monitoring data and the health status evaluation data corresponding to the most recent historical period.

[0137] In one possible implementation, the processing module 44 may be specifically used to: determine a target number of health status assessment data with a high ranking for the state of charge change based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period; and determine an assessment result of the battery health status of the target vehicle based on the target number of health status assessment data.

[0138] In one possible implementation, the processing module 44 may also be used to: based on a preset state of charge change threshold, eliminate the health status assessment data whose state of charge change is less than the state of charge change threshold from the health status assessment data corresponding to the whole vehicle monitoring data, to obtain the eliminated data; and determine a target number of health status assessment data with a high ranking in state of charge change based on the eliminated data and the health status assessment data corresponding to the most recent historical period.

[0139] In a possible implementation manner, the processing module 44 may also be used to determine an average of health status assessment values ​​in a target number of health status assessment data as an assessment result of the battery health status.

[0140] In a possible implementation manner, the processing module 44 may also be used to: determine a first value based on the sum of the products of each health state assessment value and the charge state change amount in the target number of health state assessment data; determine a second value based on the sum of each charge state change amount in the target number of health state assessment data; determine the quotient of the first value and the second value as the battery health state assessment result;

[0141] Or, determine a third value based on the sum of the products of each health status assessment value in the target number of health status assessment data and the state of charge variable; determine a fourth value based on the sum of the state of charge variable in each health status assessment data in the target number of times; determine the quotient of the third value and the fourth value as the assessment result of the battery health status, and the state of charge variable includes the square of the state of charge change and the cube of the state of charge change.

[0142] In one possible implementation, the target number is determined as follows: if the total number of health status assessment data corresponding to the charging data and the preset historical period is greater than or equal to a preset set number, the target number is determined to be the set number; if the total number of health status assessment data corresponding to the charging data and the preset historical period is less than the set number, the target number is determined to be the total number.

[0143] In a possible implementation, the processing module 44 may also be used to: record the total number of times when the total number of times is less than a set number; and filter abnormal data based on the total number of times when an abnormality is detected in the evaluation result.

[0144] In a possible implementation manner, each group of charging data includes the state of charge and current at different times during a single charging process, and the determination module 43 can be specifically used to: determine the difference between the maximum state of charge and the minimum state of charge in the i-th group of charging data as the change in the state of charge of the i-th charging, where i is a positive integer; determine the j-th time difference between the j-th charging data and the j-1-th charging data based on the time corresponding to the j-th charging data in the i-th group of charging data, where j is a positive integer greater than 1; determine the product of the j-th time difference and the current in the j-th charging data as the target value corresponding to the j-th charging data; determine a fifth value based on the sum of the target values ​​corresponding to each charging data in the i-th group of charging data; determine the ratio of the fifth value to the change in the state of charge as the converted capacity of the i-th charging; determine the ratio of the converted capacity to the rated capacity as the health status assessment value of the i-th charging; obtain the health status assessment data of the corresponding group of charging data based on the change in the state of charge of the i-th charging and the health status assessment value of the i-th charging.

[0145] The battery health status evaluation device provided in the embodiment of the present application can execute the technical solution shown in the above-mentioned battery health status evaluation method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.

[0146] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0147] It should be further noted that, although the various steps in the flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0148] It should be noted that the above device embodiments are only illustrative, and the device of the present application can also be implemented in other ways; and it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into a physical entity, or physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the processing module can be a separately established processing element, or it can be integrated in a chip of the above device. In addition, it can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0149] For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASIC), or one or more microprocessors (DSP), or one or more field programmable gate arrays (FPGA). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0150] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loading and executing computer instructions on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, referred to as DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, a data center, etc. that contains one or more available media integrated. Available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, Digital Video Discs (DVDs)), or semiconductor media (eg, solid state disks (SSDs)).

[0151] Figure 5 The schematic diagram of the structure of the electronic device provided by the exemplary embodiment of the present application. Figure 5 As shown, the electronic device 50 of this embodiment includes:

[0152] At least one processor 51; and a memory 52 communicatively connected to the at least one processor;

[0153] The memory 52 stores instructions that can be executed by the at least one processor 51, and the instructions are executed by the at least one processor 51 to enable the electronic device to execute the method described in any of the above embodiments.

[0154] Optionally, the memory 52 may be independent or integrated with the processor 51 .

[0155] The memory 52 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0156] The processor 51 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. Specifically, when implementing the battery health status evaluation method described in the aforementioned method embodiment, the electronic device may be, for example, an electronic device with processing functions such as a server.

[0157] Optionally, the electronic device may further include a communication interface 53. In a specific implementation, if the communication interface 53, the memory 52 and the processor 51 are implemented independently, the communication interface 53, the memory 52 and the processor 51 may be interconnected through a bus and communicate with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or one type of bus.

[0158] Optionally, in a specific implementation, if the communication interface 53, the memory 52 and the processor 51 are integrated on a chip, the communication interface 53, the memory 52 and the processor 51 can communicate through an internal interface.

[0159] The implementation principle and technical effects of the electronic device provided in this embodiment can be found in the aforementioned embodiments and will not be described in detail here.

[0160] An embodiment of the present application also provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed, they are used to implement the method steps in the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0161] The above-mentioned computer readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0162] An exemplary readable storage medium is coupled to the processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in a dedicated integrated circuit. Of course, the processor and the readable storage medium can also exist as discrete components in the battery health status assessment device.

[0163] The embodiment of the present application also provides a computer program product, including a computer program. When the computer program is executed, the method steps in the above method embodiment are implemented. The specific implementation method and technical effect are similar and will not be repeated here.

[0164] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0165] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0166] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for evaluating battery health status, characterized in that: include: Acquire whole vehicle monitoring data of the target vehicle within a preset period, wherein the whole vehicle monitoring data includes charging status and charging data that conform to general standards; Based on the charging state, selecting at least one set of charging data corresponding to the parking charging state from the vehicle monitoring data; Based on each group of charging data, determining health status assessment data of the corresponding group of charging data, wherein the health status assessment data includes a health status assessment value and a charge state change amount; Based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, an assessment result of the battery health status of the target vehicle is determined.

2. The method for evaluating the battery health status according to claim 1, characterized in that: The determining of the evaluation result of the battery health status of the target vehicle based on the health status evaluation data corresponding to the whole vehicle monitoring data and the health status evaluation data corresponding to the most recent historical period includes: Based on the health status assessment data corresponding to the vehicle monitoring data and the health status assessment data corresponding to the most recent historical period, determine a target number of health status assessment data with the highest ranking of state of charge change; Based on the target number of health status assessment data, an assessment result of the battery health status of the target vehicle is determined.

3. The method for evaluating the battery health status according to claim 2, characterized in that: The determining of the target number of health status assessment data with the highest ranking of state of charge change based on the health status assessment data corresponding to the vehicle monitoring data and the health status assessment data corresponding to the most recent historical period includes: Based on a preset state of charge change threshold, from the health status assessment data corresponding to the whole vehicle monitoring data, the health status assessment data whose state of charge change is less than the state of charge change threshold is eliminated to obtain eliminated data; According to the eliminated data and the health status assessment data corresponding to the most recent historical period, a target number of health status assessment data with the highest ranking in terms of charge status change are determined.

4. The method for evaluating the battery health status according to claim 2, characterized in that: The step of determining the evaluation result of the battery health status of the target vehicle based on the target number of health status evaluation data includes: Determine the average of the health status assessment values ​​in the target number of health status assessment data as the assessment result of the battery health status.

5. The method for evaluating the battery health status according to claim 2, characterized in that: The step of determining the evaluation result of the battery health status of the target vehicle based on the target number of health status evaluation data includes: Determine a first value based on the sum of the products of each health status assessment value and the charge state change amount in the target number of health status assessment data; determine a second value based on the sum of each charge state change amount in the target number of health status assessment data; determine the quotient of the first value and the second value as the battery health status assessment result; Or, determine a third value based on the sum of the products of each health status assessment value in the target number of health status assessment data and the state of charge variable; determine a fourth value based on the sum of each state of charge variable in the target number of health status assessment data; determine the quotient of the third value and the fourth value as the assessment result of the battery health status, and the state of charge variable includes the square of the state of charge change and the cube of the state of charge change.

6. The method for evaluating the battery health status according to claim 2, characterized in that: The target number is determined as follows: If the total number of health status assessment data corresponding to the charging data and the preset historical period is greater than or equal to a preset set number, determining the target number to be the set number; If the total number of times of the health status assessment data corresponding to the charging data and the preset historical period respectively is less than the set number, the target number is determined to be the total number.

7. The method for evaluating the battery health status according to claim 6, characterized in that: Also includes: When the total number of times is less than the set number, recording the total number of times; And, when it is detected that the evaluation result is abnormal, the abnormal data is filtered based on the total number of times.

8. The method for evaluating the battery health status according to any one of claims 1 to 7, characterized in that: Each set of charging data includes the state of charge and current at different times during a single charging process, and determining the health status assessment data of the corresponding set of charging data based on each set of charging data includes: Determine the difference between the maximum state of charge and the minimum state of charge in the i-th group of charging data as the change in state of charge for the i-th charging, where i is a positive integer; Based on the time corresponding to the jth charging data in the i-th group of charging data and the time corresponding to the j-1th charging data, determine the j-th time difference between the j-th charging data and the j-1th charging data, where j is a positive integer greater than 1; Determine the product of the j-th time difference and the current in the j-th charging data as the target value corresponding to the j-th charging data; determining a fifth value based on a sum of target values ​​corresponding to each piece of charging data in the i-th group of charging data; Determine the ratio of the fifth value to the change in the state of charge as the converted capacity for the i-th charging; Determine the ratio of the converted capacity to the rated capacity as the health status assessment value for the i-th charging; Based on the charge state change amount of the i-th charging and the health state evaluation value of the i-th charging, the health state evaluation data of the corresponding group of charging data is obtained.

9. A battery health status assessment device, characterized in that: include: An acquisition module, used to acquire the whole vehicle monitoring data of the target vehicle within a preset period, wherein the whole vehicle monitoring data includes a charging state and charging data that conform to universal standards; A screening module, configured to screen at least one set of charging data corresponding to a parking charging state from the vehicle monitoring data based on the charging state; A determination module, configured to determine, based on each group of charging data, health status assessment data of the corresponding group of charging data, wherein the health status assessment data includes a health status assessment value and a charge state change amount; A processing module is used to determine an assessment result of the battery health status of the target vehicle based on the health status assessment data corresponding to the whole vehicle monitoring data and the health status assessment data corresponding to the most recent historical period.

10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory is used to store computer-executable instructions; The processor is configured to execute the computer-executable instructions to implement the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed, the method according to any one of claims 1 to 8 is implemented.

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