Methods, systems, terminals, and media for evaluating battery degradation under different usage conditions

Abstract

The present invention provides a method, system, terminal and medium for evaluating battery attenuation under different usage conditions. By obtaining the usage data of each battery within a preset time period and grouping them according to usage conditions, data of idle batteries and batteries in continuous use in different monthly average discharge ranges are obtained. Based on these data, the SOH attenuation results of idle batteries and the SOH attenuation results of batteries in continuous use in each monthly average discharge range are calculated respectively. Subsequently, the two types of attenuation results are combined to generate an operation management strategy to guide the operation of idle and continuously used batteries. The present invention accurately evaluates the attenuation of batteries under different usage conditions, quantifies the attenuation results of batteries, and provides reliable data basis for battery-swap heavy-duty truck operators, helping them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operating costs, improve transportation service quality, and promote efficient and sustainable development of the battery-swap heavy-duty truck industry.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a method, system, terminal and medium for evaluating battery attenuation under different usage conditions. Background Art

[0002] Battery-swap vehicles are widely used in various long-distance, heavy-load freight transport scenarios. For example, battery-swap heavy-duty trucks undertake long-distance, heavy-load freight transport missions, which have complex and varied driving conditions. The average monthly battery discharge varies across different operating scenarios, and the cumulative discharge of a vehicle battery can range from 3,000 to 20,000. For battery rentals, different average monthly discharge amounts correspond to different packages and correspondingly different costs. Excessive monthly discharge amounts can significantly stress the battery, accelerating the aging of electrode materials and internal structural damage, leading to increased battery degradation.

[0003] Vehicle operations are subject to significant seasonality and peak and off-peak seasons. During off-seasons, such as winter in parts of northern China when severe weather impacts construction and cargo transportation, or in areas primarily focused on transporting specific agricultural products, the idle rate of heavy-duty trucks rises significantly during the non-harvest season. According to statistics, the average monthly idle time for heavy-duty trucks in some regions can reach 1-2 months. In extreme cases, such as when market demand shrinks significantly, the idle time can exceed 6 months. During this idle period, batteries continue to lose capacity, and there is no rental income during this period. For battery rental businesses, if a large number of batteries are idle, it will cause losses to the company's revenue.

[0004] Traditional battery degradation assessment methods are mostly based on standard laboratory operating conditions, setting fixed discharge current, temperature and other conditions, which are far from the complex operating conditions of large vehicles such as heavy trucks. For example, laboratories often use constant current discharge to test battery life, which cannot simulate the frequent acceleration, deceleration, climbing and other dynamic load changes in heavy truck driving. In the field of battery swap vehicles, due to the lack of effective methods to accurately evaluate battery degradation under different usage conditions, it is difficult for operators to accurately grasp the health status of batteries in real time. They can only rely on experience to judge the timing of battery replacement, which often leads to premature replacement of batteries and increased operating costs; or because of overly optimistic estimates of the remaining battery life, the vehicle may suffer sudden battery failure during operation, affecting transportation tasks and reducing operational efficiency and customer satisfaction. Summary of the Invention

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method, system, terminal and medium for evaluating battery degradation under different usage conditions, so as to solve the technical problem that the prior art lacks an effective method for accurately evaluating battery degradation under different usage conditions, making it difficult for operators to accurately understand the battery health status in real time.

[0006] To achieve the above-mentioned purpose and other related purposes, the present invention provides a method for evaluating battery attenuation under different usage conditions, the method comprising: obtaining usage data of each battery within a preset time period; grouping the usage data of each battery to obtain usage data of idle batteries and usage data of continuously used batteries in different monthly average discharge ranges; calculating the SOH attenuation results of idle batteries based on the usage data of each idle battery based on an idle battery data filtering mechanism; calculating the SOH attenuation results of continuously used batteries in each monthly average discharge range based on the usage data of each continuously used battery in different monthly average discharge ranges based on a continuously used battery data filtering mechanism; generating operation management strategies for idle batteries and continuously used batteries based on the SOH attenuation results of idle batteries and the SOH attenuation results of continuously used batteries in each monthly average discharge range, so as to provide operation guidance for idle batteries and continuously used batteries. ; Wherein, the method of grouping the usage data of each battery to obtain the usage data of idle batteries and the usage data of continuously used batteries in different monthly average discharge ranges includes: determining the usage frequency of each battery based on the usage data of each battery, and dividing the usage data into usage data of idle batteries and non-idle batteries; wherein the usage data of each idle battery is divided into usage data of a pre-idle range and a post-idle range; based on the battery charging and discharging behavior in the usage data of non-idle batteries, filtering the usage data of each continuously used battery from the usage data of each non-idle battery; and dividing the usage data of each continuously used battery into usage data of different monthly average discharge ranges based on the calculated monthly average discharge amount of each continuously used battery.

[0007] In one embodiment of the present invention, the usage data includes: battery number, battery usage time, battery SOH, battery cumulative discharge capacity, battery daily discharge capacity, and battery charge and discharge behavior.

[0008] In one embodiment of the present invention, the method of calculating the SOH attenuation result of the idle battery based on the usage data of each idle battery based on the idle battery data filtering mechanism includes: filtering the usage data of each idle battery based on the idle battery data filtering mechanism to obtain the effective SOH of the front and rear intervals of the idle battery; calculating the attenuated SOH value of a single idle battery based on the effective SOH of the front and rear intervals of each idle battery; calculating the SOH attenuation result of the idle battery based on the attenuated SOH values ​​of all single idle batteries; wherein, the method of calculating the SOH attenuation result of the idle battery based on the attenuated SOH values ​​of all single idle batteries includes: screening the SOH attenuation value of each single idle battery according to the 3σ interval; and calculating the average value of the SOH attenuation values ​​of each screened single idle battery to obtain the SOH attenuation result of the idle battery.

[0009] In one embodiment of the present invention, the idle battery data filtering mechanism includes: preliminarily filtering the data in the usage data of the current idle battery that does not meet the idle data filtering conditions; wherein the idle data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; filtering the SOH in the data remaining after the preliminary filtering of the current idle battery according to the 1σ interval to obtain the effective SOH; judging whether the effective SOH in the idle before and after intervals of the current idle battery meets the effective SOH conditions; wherein the effective SOH conditions include: the effective SOH fluctuation in the idle before and after intervals is greater than the set fluctuation threshold and the number of effective SOHs in the idle before and after intervals is greater than the set number; if it meets the requirements, the effective SOH in the screened idle before and after intervals is used as the effective SOH of the before and after intervals of the current idle battery for subsequent calculation of the attenuation SOH value of a single idle battery; if it does not meet the requirements, the usage data of the current idle battery is deleted from the idle battery data.

[0010] In one embodiment of the present invention, the method of calculating the attenuated SOH value of a single idle battery based on the effective SOH of the front and back intervals of each idle battery includes: calculating the average value of all effective SOHs in the idle and back intervals of the idle battery and the date corresponding to each effective SOH, obtaining the SOH results corresponding to the idle and back intervals of the idle battery and the date, and calculating the date difference between the idle and back intervals of the idle battery; calculating the SOH attenuation value of a single idle battery based on the SOH results corresponding to the idle and back intervals of the idle battery and the date difference.

[0011] In one embodiment of the present invention, the method of calculating the SOH attenuation result of the continuously used battery in each monthly average discharge amount interval based on the usage data of each continuously used battery in different monthly average discharge amount intervals based on the sustainable battery data filtering mechanism includes: filtering the usage data of each continuously used battery in each monthly average discharge amount interval based on the sustainable battery data filtering mechanism to obtain the effective SOH of each continuously used battery in each monthly average discharge amount interval; calculating the attenuation SOH value of a single continuously used battery in each monthly average discharge amount interval based on ... The SOH attenuation results of the continuously used batteries in each monthly average discharge amount interval are calculated based on the attenuation SOH values ​​of all individual continuously used batteries in the monthly average discharge amount interval; wherein, the SOH attenuation results of the continuously used batteries in each monthly average discharge amount interval are calculated based on the attenuation SOH values ​​of all individual continuously used batteries in each monthly average discharge amount interval, including: screening the attenuation SOH values ​​of the individual continuously used batteries in each monthly average discharge amount interval according to the 3σ interval; and calculating the average value of the screened attenuation SOH values ​​of the individual continuously used batteries in each monthly average discharge amount interval to obtain the SOH attenuation results of the continuously used batteries in each monthly average discharge amount interval.

[0012] In one embodiment of the present invention, the sustainable battery data filtering mechanism includes: preliminarily filtering the data in the usage data of the current continuously used battery that does not meet the continuous battery data filtering conditions; wherein, the continuous battery data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; filtering the SOH in the data remaining after the preliminary filtering of the current continuously used battery according to the 1σ interval to obtain the effective SOH; judging whether the effective SOH of the current continuously used battery in each month meets the effective SOH conditions; wherein, the effective SOH conditions include: the effective SOH fluctuation in each month is greater than the set fluctuation threshold and the number of effective SOHs in each month is greater than the set number; if it meets the conditions, the effective SOH of the current continuously used battery after screening is used as the effective SOH of the current continuously used battery for subsequent calculation of the attenuation SOH value of a single continuously used battery in the corresponding monthly average discharge amount interval; if it does not meet the conditions, the usage data of the current continuously used battery is deleted from the data of the corresponding monthly average discharge amount interval.

[0013] In one embodiment of the present invention, the calculation of the attenuated SOH value of a single continuously used battery in each monthly average discharge amount interval based on the effective SOH of each continuously used battery in each monthly average discharge amount interval includes: using the effective SOH of the current continuously used battery and its corresponding date as the vertical coordinate and the horizontal coordinate to generate data points, and performing linear fitting on each data point to obtain a fitted attenuation curve; using the SOH values ​​and dates of the first and last data points of the fitted attenuation curve as the first SOH result, the second SOH result, the first date and the second date, respectively, and calculating the date interval from the first date and the second date; calculating the attenuated SOH value of a single continuously used battery based on the first SOH result, the second SOH result and the date interval of the current continuously used battery.

[0014] In one embodiment of the present invention, the battery management strategy for idle batteries and continuously used batteries generated based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in each monthly average discharge amount interval includes: performing promotional processing on batteries classified as idle batteries; generating a package adjustment strategy for sustainable use batteries based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in each monthly average discharge amount interval, so as to adjust the monthly average discharge amount interval packages of sustainable use batteries in different monthly average discharge amount intervals.

[0015] In one embodiment of the present invention, the package adjustment strategy for generating a sustainable use battery based on the SOH decay results of the idle battery and the SOH decay results of the continuously used battery in each monthly average discharge amount interval includes: fitting the results of different decay intervals through high-order parameters based on the SOH decay results of the idle battery and the SOH decay results of the continuously used battery in each monthly average discharge amount interval, and determining the standard monthly average discharge amount; adjusting the monthly average discharge amount interval package of the continuously used battery with a lower monthly average discharge amount to a package with a higher monthly average discharge amount interval, and adjusting the monthly average discharge amount interval package of the continuously used battery with a higher monthly average discharge amount to a package with a lower monthly average discharge amount interval.

[0016] In one embodiment of the present invention, the calculation method of the battery SOH using the data includes: obtaining battery charging data of each charge of the battery within a preset time period; performing data cleaning on each battery charging data to eliminate invalid data; extracting charging process data that meets the valid charging cycle based on the data-cleaned battery charging data; calculating the corresponding single charging capacity according to each charging process data that meets the valid charging cycle; calculating the corresponding equivalent SOH based on each single charging capacity; traversing the equivalent SOH arranged in chronological order through a sliding window to obtain the normal equivalent SOH of each sliding window; based on the normal equivalent SOH of the sliding window that meets the sample number requirement, calculating the SOH of the battery at different time points and the current SOH.

[0017] To achieve the above-mentioned purpose and other related purposes, the present invention provides a battery attenuation evaluation system under different usage conditions, the system comprising: a data acquisition module, for acquiring usage data of each battery within a preset time period; a battery grouping module, connected to the data acquisition module, for grouping the usage data of each battery, and obtaining usage data of idle batteries and usage data of continuously used batteries in different monthly average discharge ranges; a battery attenuation calculation module, connected to the battery grouping module, for calculating the SOH attenuation results of idle batteries based on the usage data of each idle battery; a continuously used battery attenuation calculation module, connected to the battery grouping module, for calculating the SOH attenuation results of continuously used batteries in each monthly average discharge range based on the usage data of each continuously used battery in different monthly average discharge ranges; an operation guidance module, connected to the idle battery attenuation calculation module and the continuously used battery attenuation calculation module, for generating operation management strategies for idle batteries and continuously used batteries based on the SOH attenuation results of idle batteries and the SOH attenuation results of continuously used batteries in each monthly average discharge range, so as to provide operation guidance for idle batteries and continuously used batteries.

[0018] To achieve the above-mentioned objectives and other related objectives, the present invention provides an electronic terminal comprising: one or more memories and one or more processors; the one or more memories are used to store computer programs; the one or more processors are connected to the memories and are used to run the computer programs to execute the method for evaluating battery degradation under different usage conditions.

[0019] To achieve the above-mentioned and other related objectives, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program is executed by one or more processors to perform the method described above.

[0020] As described above, the present invention is a method, system, terminal and medium for evaluating battery attenuation under different usage conditions, which has the following beneficial effects: the present invention obtains the usage data of each battery within a preset time period, groups them according to usage conditions, and obtains data on idle batteries and batteries that are continuously used in different monthly average discharge intervals. Based on these data, an idle battery data filtering mechanism and a sustainable battery data filtering mechanism are used to filter the data, and the SOH attenuation results of idle batteries and the SOH attenuation results of batteries that are continuously used in each monthly average discharge interval are calculated respectively. The data filtering mechanism eliminates abnormal health status and invalid data that appear in idle batteries and sustainable batteries respectively, ensuring that the calculation basis is reliable, and significantly improving the accuracy of the calculated SOH attenuation results. Subsequently, the two types of attenuation results are combined to generate an operation management strategy for guiding the operation of idle and continuously used batteries. The present invention accurately evaluates the attenuation of batteries under different usage conditions, quantifies the attenuation results of batteries, and provides reliable data basis for battery swap heavy truck operators, helping them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operating costs, improve transportation service quality, and promote efficient and sustainable development of the battery swap heavy truck industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 FIG. 1 is a flow chart of a method for evaluating battery degradation under different usage conditions according to an embodiment of the present invention.

[0022] Figure 2 FIG. 1 is a flow chart of a method for evaluating battery degradation under different usage conditions according to an embodiment of the present invention.

[0023] Figure 3 FIG. 1 is a schematic diagram showing changes in SOH data of an idle battery according to an embodiment of the present invention.

[0024] Figure 4 FIG. 1 is a schematic diagram showing changes in SOH data of a battery under continuous use according to an embodiment of the present invention.

[0025] Figure 5Shown is a schematic diagram of the results of fitting different attenuation intervals in one embodiment of the present invention.

[0026] Figure 6 Shown is a schematic structural diagram of a battery degradation system for evaluating battery degradation under different usage conditions according to an embodiment of the present invention.

[0027] Figure 7 Shown is a schematic structural diagram of an electronic terminal in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The following describes the embodiments of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0029] It should be noted that in the following description, reference is made to the accompanying drawings, which describe several embodiments of the present invention. It should be understood that other embodiments may also be used, and that mechanical, structural, electrical, and operational changes may be made without departing from the spirit and scope of the present invention. The following detailed description should not be considered restrictive, and the scope of the embodiments of the present invention is limited only by the claims of the published patents. The terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. Spatially related terms, such as "upper", "lower", "left", "right", "below", "below", "lower", "above", "upper", etc., may be used in the text to facilitate the description of the relationship between one element or feature shown in the figure and another element or feature.

[0030] Throughout this specification, when a part is said to be "connected" to another part, this includes not only "direct connection" but also "indirect connection" with other elements interposed therebetween. Furthermore, when a part is said to "include" a certain component, unless otherwise stated, this does not exclude the inclusion of such other components but rather implies that the part may include such other components.

[0031] The terms "first," "second," and "third" are used to describe various parts, components, regions, layers, and / or segments, but are not intended to be limiting. These terms are used solely to distinguish one part, component, region, layer, or segment from another. Therefore, a reference to a first part, component, region, layer, or segment below may also refer to a second part, component, region, layer, or segment without departing from the scope of the present invention.

[0032] Furthermore, as used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It should be further understood that the terms "comprise", "include" indicate the presence of the described features, operations, elements, components, items, kinds, and / or groups, but do not exclude the presence, occurrence, or addition of one or more other features, operations, elements, components, items, kinds, and / or groups. The terms "or" and "and / or" used herein are interpreted as inclusive, or mean any one or any combination. Thus, "A, B, or C" or "A, B, and / or C" means "any of the following: A; B; C; A and B; A and C; B and C; A, B, and C". Exceptions to this definition occur only when the combination of elements, functions, or operations is inherently mutually exclusive in some way.

[0033] The present invention provides a method for evaluating battery attenuation under different usage conditions. By obtaining the usage data of each battery within a preset time period and grouping them by usage, data of idle batteries and batteries in continuous use in different monthly average discharge ranges are obtained. Based on these data, the SOH attenuation results of idle batteries and the SOH attenuation results of batteries in continuous use in each monthly average discharge range are calculated respectively. Subsequently, the two types of attenuation results are combined to generate an operation management strategy to guide the operation of idle and continuously used batteries. The present invention accurately evaluates the attenuation of batteries under different usage conditions, quantifies the attenuation results of batteries, and provides reliable data basis for battery-swap heavy-duty truck operators, helping them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operating costs, improve transportation service quality, and promote efficient and sustainable development of the battery-swap heavy-duty truck industry.

[0034] The following is a detailed description of the embodiments of the present invention with reference to the accompanying drawings so that those skilled in the art can easily implement the present invention. The present invention can be embodied in many different forms and is not limited to the embodiments described herein.

[0035] like Figure 1 A schematic diagram showing the structure of a method for evaluating battery degradation under different usage conditions in an embodiment of the present invention.

[0036] The method comprises:

[0037] Step S1: Obtain usage data of each battery within a preset time period.

[0038] In one embodiment, the preset time period is greater than one month, and the usage data includes:

[0039] Each battery is assigned a number, which is the key to identifying and distinguishing different batteries. Through this number, various data of a specific battery can be accurately recorded and tracked, ensuring a one-to-one correspondence between the data and the battery.

[0040] Battery life refers to the cumulative duration of battery usage over a preset time period. This data is important for assessing battery degradation and service life.

[0041] Battery SOH (State of Health) is a key indicator for measuring battery health, usually expressed as a percentage. It reflects the relative relationship between the battery's current performance and its performance when it was brand new.

[0042] The cumulative discharge capacity of the battery records the total amount of electricity released by the battery within a preset time period.

[0043] The daily discharge capacity of a battery refers to the amount of electricity released by the battery during each day.

[0044] The battery charge and discharge behavior records in detail each charge and discharge process of the battery within a preset time period, including the charge start time, charge end time, charge current, charge voltage change, discharge start time, discharge end time, discharge current, discharge voltage change and other information.

[0045] In one embodiment, battery state of health (SOH) assessment is crucial for the management and maintenance of batteries in battery swap stations. The battery SOH in usage data can be reported using the BMS, but a more accurate result can be obtained through algorithmic calculation. The specific algorithm is as follows: obtaining battery charging data for each charge within a preset time period; wherein the battery charging data includes charging process data and the rated capacity of the battery; performing data cleansing on each battery charging data to eliminate invalid data; extracting charging process data that meets a valid charging cycle based on the cleaned battery charging data; calculating the corresponding single charge capacity based on each charging process data that meets the valid charging cycle; calculating the corresponding equivalent SOH based on each single charge capacity; traversing the equivalent SOH arranged in chronological order through a sliding window to obtain each equivalent SOH for each sliding window; wherein the size of the sliding window is set to a set time period length; and selecting the normal equivalent SOH for each sliding window using the 2σ rule. Sliding windows including at least a set threshold number of normal equivalent SOHs are selected as target sliding windows, and the normal equivalent SOHs of the target sliding windows are obtained; the average of the normal equivalent SOHs of the target sliding windows is calculated to obtain the SOHs of the target sliding windows at the corresponding time points.

[0046] This calculation method takes into account the complexity and diversity of battery usage in battery swap stations, accurately and effectively obtains the battery's SOH results, and provides a rich data basis for accurately evaluating battery degradation.

[0047] Step S2: grouping the usage data of each battery into battery groups to obtain usage data of idle batteries and usage data of continuously used batteries in different monthly average discharge ranges.

[0048] In one embodiment, step S2 includes:

[0049] Based on the usage data of each battery, the usage frequency of each battery is determined. Based on the usage frequency, the usage data is then divided into idle battery and non-idle battery usage data. Specifically, batteries can be classified based on usage time or battery charge and discharge behavior. First, a pre-defined idle time threshold can be used to determine whether a battery is idle or non-idle. A preferred approach is to define an idle battery as one that has not been used for 30 consecutive days. That is, if a battery has not been used for 30 consecutive days, as determined by usage time, or if no charge or discharge activity has occurred for 30 consecutive days, as determined by battery charge and discharge behavior, then the battery is considered idle. The usage data of idle batteries can be further subdivided into usage data from the pre-idle period and the post-idle period. This division facilitates a more comprehensive analysis of battery performance changes before and after idleness. Furthermore, the idle time of idle batteries must be determined. This can be converted into monthly units. For example, if a battery has been idle for 45 days, it is defined as 1.5 months; if it has been idle for 60 days, it is defined as 2 months. This conversion method facilitates the subsequent unified analysis and processing of relevant data on idle batteries.

[0050] Based on the charge and discharge behavior in the usage data of non-idle batteries, the usage data of batteries in continuous use is filtered from the usage data of each non-idle battery. Specifically, a threshold for continuous battery use is predefined to filter out continuously used batteries from each non-idle battery. A preferred approach is to define a battery as continuously used if the usage record frequency is greater than 90% within a month, meaning that there are charge and discharge records on at least 27 days (30 × 90% = 27). This step allows the identification of truly continuously used batteries from the non-idle batteries, paving the way for further analysis.

[0051] Based on the calculated monthly average discharge of each continuously used battery, the usage data for each continuously used battery is divided into different monthly average discharge ranges. Specifically, for each selected continuously used battery, the monthly average discharge is calculated based on its usage data, and then the usage data for each battery is divided into different monthly average discharge ranges. There are two main ways to calculate the monthly average discharge: one is based on the battery's cumulative discharge. The monthly average discharge is calculated by dividing the total cumulative discharge by the total number of months of use. The other is based on the battery's daily discharge. The monthly average discharge is also calculated by adding up the daily discharge and dividing it by the number of months. Each monthly average discharge range is typically set based on the corresponding range in each operating plan. Taking heavy-duty truck batteries as an example, common monthly average discharge ranges can be set to 3000-5000Ah, 5000-7000Ah, 7000-9000Ah, 9000-11000Ah, etc. In actual operation, the monthly average discharge of each continuously used battery is compared with these predetermined intervals one by one to determine the specific interval that the battery belongs to. In this way, the usage data of continuously used batteries can be effectively classified according to the monthly average discharge.

[0052] Through these three steps, all battery usage data was stratified and categorized, ultimately yielding data for different usage conditions. Specifically, this data includes two broad categories: batteries in continuous use (divided by average monthly discharge) and idle batteries. This data provides a clear and organized foundation for subsequent battery degradation assessments and operational management.

[0053] Step S3: Calculating the SOH decay results of the idle batteries based on the usage data of each idle battery.

[0054] In one embodiment, step S3 includes:

[0055] Step S31: Based on the idle battery data filtering mechanism, the usage data of each idle battery is filtered to obtain the effective SOH of the idle battery in the preceding and following intervals;

[0056] Step S32: Calculating the decayed SOH value of each idle battery based on the effective SOH of the preceding and following intervals of each idle battery;

[0057] Step S33: Calculate the SOH decay results of the idle batteries based on the decayed SOH values ​​of all individual idle batteries.

[0058] Step S31 uses a data filtering mechanism to eliminate abnormal and invalid data, ensuring reliable calculations and preventing misleading judgments caused by erroneous data. Step S32 compares the average SOH values ​​of individual batteries before and after idle time to help determine their normal use and maintenance needs. Step S33 uses average calculations to present an overall health status. These three steps combine to ensure data accuracy through data filtering, then calculate individual battery degradation to understand individual health, and finally, comprehensively determine the overall health status, providing a comprehensive and critical basis for battery management decisions.

[0059] In one embodiment, the idle battery data filtering mechanism includes:

[0060] Initially filter out idle battery usage data that does not meet the idle data filtering criteria. Specifically, when processing idle battery data, the first step is to specify the idle data filtering criteria: the starting SOC in the data must be no greater than 30% and the ending SOC must be 100%. This condition is crucial. When a battery starts at a low SOC (no greater than 30%) and then rises to a full charge (100%) at the end, it indicates that the battery has undergone a complete charging cycle. During idle periods, this complete charging process is relatively stable and standardized, providing a more accurate representation of the battery's performance and health under normal idle conditions. Conversely, data that does not meet the idle data filtering criteria, such as a starting SOC that is too high or an ending SOC that is less than 100%, likely indicates an anomaly in the battery charging process, such as a charging interruption or incomplete charge. Such anomalies can interfere with subsequent SOH decay calculations, causing the calculated results to deviate from the true state. Therefore, in the preliminary filtering stage, data that do not meet the idle data filtering conditions are screened out and excluded to eliminate their interference with the subsequent SOH attenuation calculation.

[0061] The SOH in the remaining data after the initial filtering of currently idle batteries is screened using a 1σ interval to obtain the effective SOH. Specifically, after completing the initial filtering, the SOH in the remaining data is further screened using the 1σ interval to obtain the effective SOH. The 1σ interval, also known as the standard deviation interval, is a statistical term used to measure the degree of data dispersion. By setting a 1σ interval, data that deviates from the normal range can be considered outliers and eliminated. Among the remaining data after the initial filtering, only data with SOH values ​​falling within this 1σ interval is considered valid. This method further improves data reliability and stability, ensuring that subsequent calculations are based on data that better reflects the actual battery performance.

[0062] Determine whether the effective SOH of the current idle battery before and after the idle period meets the effective SOH conditions. Specifically, after the first two steps of screening, further judgment is needed on the effective SOH of the current idle battery before and after the idle period to determine whether this data can actually be used to calculate the SOH decay. Two important effective SOH conditions are set here:

[0063] SOH fluctuation condition: The effective SOH fluctuation in the interval before and after idle must be greater than the set fluctuation threshold. Preferably, the SOH fluctuation in the interval before and after idle is set to less than 3%. This is because excessive SOH fluctuation may indicate that the battery experienced some unstable factors during the idle period, resulting in abnormal changes in its health status. Such abnormal fluctuations may affect the accurate assessment of the normal battery SOH decay.

[0064] If the effective SOH fluctuation in the idle interval before and after the current idle battery is greater than the set fluctuation threshold and the number of effective SOHs in the idle interval before and after is greater than the set number, the effective SOHs in these screened idle intervals will be used as the effective SOH of the before and after intervals of the current idle battery for the subsequent calculation of the attenuation SOH value of a single idle battery.

[0065] If the effective SOH fluctuation of the current idle battery in the interval before and after idleness is not greater than the set fluctuation threshold or the number of effective SOH values ​​in the interval before and after idleness is greater than the set number, then it will be considered that the usage data of the battery cannot accurately reflect its situation in a normal idle state, and there may be many anomalies or errors. In order to ensure the accuracy of the overall calculation results, the usage data of the battery will be deleted from the idle battery data and will no longer be included in the subsequent SOH decay calculation process.

[0066] In order to better describe the above filtering results, Figure 3 Take the example for explanation. The circles in the figure are valid SOH data in the interval before and after idleness, and the triangle points are excluded abnormal data.

[0067] In one embodiment, step S32 includes:

[0068] Calculate the average of all valid SOHs and the dates corresponding to each valid SOH within the idle interval. Obtain the SOH results and dates corresponding to the idle intervals. Then calculate the date difference between the idle intervals. Specifically, for all valid SOHs within the idle intervals, add these data and divide by the number of data points to obtain the average SOH values ​​corresponding to each interval. These values ​​are used as the SOH results SOH1 and SOH2 for each interval. Similarly, calculate the average value for each date corresponding to each valid SOH. First, convert the dates to a uniform time measurement (e.g., the number of days from a fixed start date). Then calculate the average of these days and convert them back to the corresponding date format to obtain the average dates (date1) and date2) corresponding to each interval. Finally, calculate the difference between the average date (date2) of the post-idle interval and the average date (date1) of the pre-idle interval to obtain the date difference (Δday) between the idle intervals.

[0069] The SOH decay value of a single idle battery is calculated based on the SOH results and date difference corresponding to the idle period before and after the idle battery. Specifically, the SOH decay value of a single idle battery is calculated using the formula based on the previously calculated SOH results and date difference corresponding to the idle period before and after the idle period. The formula is: SOH decay value of a single continuously used battery = (SOH1 - SOH2) ÷ Δday × 30 (assuming a 30-day month). This formula converts the SOH decay of an idle battery during the idle period into an average decay value in monthly units, providing accurate data support for assessing battery health.

[0070] Continue with Figure 3 Taking this as an example, the square points in the figure are the SOH results corresponding to the idle battery's pre- and post-idle intervals obtained by calculating the effective SOH in the pre- and post-idle intervals.

[0071] In one embodiment, step S33 includes:

[0072] The SOH decay values ​​of each idle battery are screened based on a 3σ interval. Specifically, in statistics, the 3σ interval is a common method for identifying data outliers. Assuming that the SOH decay values ​​of all idle batteries constitute a dataset, we first calculate the mean (μ) and standard deviation (σ) of this dataset. In this step, the SOH decay values ​​of each idle battery are compared with this 3σ interval. Data falling outside the interval are considered outliers and removed.

[0073] After filtering within a 3σ interval and removing outliers, the SOH decay values ​​of each individual idle battery are averaged to obtain the idle battery SOH decay result. Assuming that after screening, n individual idle battery SOH decay values ​​remain, namely x1, x2, ..., xn, then the idle battery SOH decay result = (x1 + x2 + ... + xn) ÷ n. This method provides a relatively accurate and stable quantitative result of the overall idle battery SOH decay, eliminating the influence of abnormal fluctuations. For example, the final calculated result is 0.17 SOH decay per month, which clearly shows that after comprehensively considering the data of many idle batteries, the average monthly SOH decay of idle batteries is 0.17.

[0074] Step S4: Based on the usage data of each continuously used battery in different monthly average discharge amount intervals, the SOH decay result of the continuously used battery in each monthly average discharge amount interval is calculated.

[0075] In one embodiment, step S4 includes:

[0076] Step S41: Based on the sustainable battery data filtering mechanism, the usage data of each sustainable battery in each monthly average discharge interval is filtered to obtain the effective SOH of each sustainable battery in each monthly average discharge interval;

[0077] Step S42: Calculating the decayed SOH value of a single continuously used battery in each monthly average discharge interval based on the effective SOH of each continuously used battery in each monthly average discharge interval;

[0078] Step S43: Calculate the SOH decay result of the continuously used battery in each monthly average discharge amount interval based on all individual continuously used battery decay SOH values ​​in each monthly average discharge amount interval.

[0079] Step S41 filters the usage data through the sustainable battery data filtering mechanism, which can exclude abnormal or invalid data; step S42 calculates the attenuation SOH value of a single continuous battery according to the effective SOH in each monthly average discharge range, which can refine the analysis of battery attenuation; step S43 calculates the SOH attenuation result of the continuous battery in each monthly average discharge range based on all the individual continuous battery attenuation SOH values ​​in the range, which can grasp the attenuation of the battery in the monthly average discharge range as a whole; these three steps are interrelated, from data screening to individual analysis to overall evaluation, and gradually and in-depth calculation of the SOH attenuation of the continuous battery is of great significance for accurately grasping the changes in battery performance, optimizing battery management and improving battery service life.

[0080] In one embodiment, the sustainable battery data filtering mechanism includes:

[0081] Initially filter the data from the current continuous battery usage that doesn't meet the continuous battery usage data filtering criteria. Specifically, during this stage, the data is preliminarily screened based on the specific continuous battery usage data filtering criteria. The set continuous battery usage data filtering criteria are: the starting SOC in the data is no more than 30% and the ending SOC is 100%. This filtering condition indicates that the battery has undergone a complete charge cycle from low to full. Under normal continuous battery use, this charging process is relatively stable and consistent with conventional usage patterns, providing a more realistic reflection of the battery's performance and health under normal operating conditions. Conversely, data that doesn't meet this condition can interfere with subsequent SOH decay calculations, causing the results to deviate from the actual situation. Therefore, during the initial filtering stage, data that doesn't meet this condition is screened out and excluded.

[0082] After completing the preliminary data filtering, the SOH in the data remaining after the preliminary filtering of the current continuously used battery is screened according to the 1σ interval to obtain the effective SOH; by setting the 1σ interval, we can identify data that deviates from the normal range as outliers and eliminate them.

[0083] After the first two steps of screening, it is necessary to further judge the effective SOH of the battery each month of continuous use to determine whether this data is truly applicable to subsequent calculations. Here, two key effective SOH conditions are set:

[0084] SOH fluctuation conditions: The effective SOH fluctuation within each month must exceed a set fluctuation threshold. Preferably, the monthly SOH fluctuation is set to less than 3%. Excessive SOH fluctuations may indicate that the battery experienced some unstable factors during that month's use, resulting in abnormal changes in its health status. Such abnormal fluctuations may interfere with the accurate assessment of the battery's normal SOH decay.

[0085] Valid Data Count: The number of valid SOH data points in each month must be greater than a specified number, generally set to greater than 5. This ensures sufficient data to accurately reflect the battery's health status changes during the month. If the number of valid data points is too small, the true trend of the battery's SOH may not be accurately captured, resulting in inaccurate calculated SOH decay results.

[0086] If the effective SOH fluctuation of the current continuously used battery in each month is greater than the set fluctuation threshold and the number of effective SOHs in each month is greater than the set number, then these screened effective SOHs will be used as the effective SOH of the current continuously used battery and used for the subsequent calculation of the attenuation SOH value of a single continuously used battery in the corresponding monthly average discharge range.

[0087] If the effective SOH fluctuation within each month of continuous battery use is no greater than the set fluctuation threshold, or the number of effective SOH values ​​within each month is greater than the set number, the battery's usage data will be considered to not accurately reflect its condition under normal continuous use and may contain a large number of anomalies or errors. To ensure the accuracy of the overall calculation results, the battery's usage data will be deleted from the corresponding monthly average discharge range data and will no longer be included in the subsequent SOH decay calculation process.

[0088] In order to better describe the above filtering results, Figure 4 Taking this as an example, the circles in the figure represent the effective SOH data for each month of continuous battery use, and the triangle points represent the excluded abnormal data.

[0089] In one embodiment, step S42:

[0090] The effective SOH of the battery during continuous use and its corresponding date are used as the ordinates and abscissas, respectively, to generate data points. A linear fit is performed on each data point to obtain a fitted decay curve. Specifically, a two-dimensional coordinate system is constructed with the effective SOH and date as the ordinate (Y) and abscissa (X). A series of data points are generated within this two-dimensional coordinate system, using the effective SOH of the battery during continuous use as the ordinate and the corresponding date as the abscissa. These data points intuitively demonstrate how the battery's SOH changes over time. However, the raw data may fluctuate. To more clearly present the decay trend of the battery's SOH, a linear fit is required for these data points. A straight line y = kx + b is found that fits as closely as possible to all data points. Here, y represents the SOH value, x represents the date, k is the slope of the line, and b is the intercept. Through linear fitting, a fitted decay curve is obtained that more accurately reflects the decay pattern of the battery's SOH over time. Alternatively, the effective SOH average value of each month and the average value of the corresponding date may be calculated to generate the average SOH data point of each month, and the average SOH data points of each month may be fitted to obtain a fitted attenuation curve.

[0091] After obtaining the fitted decay curve, select the first and last data points of the curve. Define the SOH value corresponding to the first data point as the first SOH result (soh1), and the SOH value corresponding to the second data point as the second SOH result (soh2). Also, define the date corresponding to the first data point as the first date, and the date corresponding to the second data point as the second date. By calculating the difference between the first and second dates, we obtain the date interval for valid data. This date interval reflects the battery's usage duration during the observation period.

[0092] The SOH decay value of a single battery in continuous use is calculated based on the first and second SOH results of the current battery in continuous use, as well as the date interval. Specifically, the SOH decay value of a single battery in continuous use can be calculated using the first SOH result (soh1), the second SOH result (soh2), and the date interval Δday. This value is calculated based on the SOH changes at these two key time points. The specific calculation formula is: SOH decay value of a single battery in continuous use = (soh1 - soh2) ÷ Δday × 30 (assuming a 30-day month). This value intuitively reflects the degree of battery SOH decay within a given date interval, providing an important basis for assessing the battery's state of health and remaining service life.

[0093] Step S42 processes the data using a linear fit, which can, to a certain extent, eliminate the interference of data fluctuations and extract the main trends of battery SOH changes, making the results more representative and reliable. By calculating the SOH difference between the first and last data points and the date difference, key information about the battery's SOH changes over a period of time is captured, simplifying the calculation process and highlighting the overall degradation.

[0094] Continue with Figure 4 Taking this as an example, the square points in the figure are the data points of the average SOH of the battery in each month of continuous use, and the curve in the figure is the fitted attenuation curve.

[0095] The calculated SOH results of the idle battery before and after the idle period.

[0096] In one embodiment, step S43 includes:

[0097] The decay SOH values ​​of individual continuously used batteries within each monthly average discharge range are screened using a 3σ interval. Specifically, within each monthly average discharge range, multiple decay SOH values ​​for individual continuously used batteries are obtained. However, these values ​​may contain deviations due to various abnormal factors, such as measurement errors and sudden battery failures. To ensure the accuracy and reliability of the final results, these values ​​are screened using a 3σ interval. First, the mean (μ) and standard deviation (σ) of the decay SOH values ​​of all individual continuously used batteries within the monthly average discharge range are calculated, resulting in a 3σ interval of [μ - 3σ, μ + 3σ]. Each decay SOH value is then compared with this interval, and data falling outside the interval are considered outliers and removed. This effectively eliminates the interference of abnormal data on the overall results, ensuring that subsequent calculations are based on more reasonable and stable data.

[0098] After 3σ interval screening, the average SOH values ​​of the individual continuously used batteries within each monthly average discharge interval are calculated to obtain the SOH decay result for the continuously used batteries within each monthly average discharge interval. Assuming that within a certain monthly average discharge interval, n individual continuously used batteries remain after screening with SOH values ​​y1, y2, ..., yn, then the SOH decay result for the continuously used battery within that interval is = (y1 + y2 + ... + yn) ÷ n. The SOH decay result obtained in this manner can more accurately reflect the overall health status of the continuously used batteries within each monthly average discharge interval.

[0099] Step S5: Generate operation management strategies for idle batteries and continuously used batteries based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in each monthly average discharge range to provide operation guidance for idle batteries and continuously used batteries.

[0100] In one embodiment, step S5 includes:

[0101] For batteries classified as idle, promotional measures are implemented to improve their utilization, reduce battery degradation caused by long-term inactivity, and generate revenue. For example, rental promotions can be implemented to lower battery rental prices and attract more users to use idle batteries. This not only puts idle batteries back into use and slows their SOH degradation, but also generates economic benefits for battery operators and effectively utilizes resources.

[0102] Based on the SOH attenuation results of the idle battery and the SOH attenuation results of the continuously used battery in each monthly average discharge range, a package adjustment strategy for the sustainable use battery is generated to adjust the monthly average discharge range packages of the sustainable use battery in different monthly average discharge ranges.

[0103] In one embodiment, generating a package adjustment strategy for a sustainable battery based on the SOH decay results of the idle battery and the SOH decay results of the continuously used battery in each monthly average discharge interval includes:

[0104] Based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in each monthly average discharge range, high-order parameters are used to fit the results of different decay ranges and determine the standard monthly average discharge capacity. High-order parameter fitting can explore the potential patterns behind complex data. By constructing a suitable mathematical model, different decay conditions are associated with the corresponding monthly average discharge capacity, thereby dividing different decay ranges.

[0105] For batteries in continuous use with an average monthly discharge below the standard monthly discharge range, their monthly average discharge range package will be adjusted to a higher monthly average discharge range. This is because these batteries may not fully realize their performance due to low discharge levels. Prolonged low-load operation may even affect the activity of the battery's internal chemical substances, accelerating battery aging. Appropriately increasing the usage intensity to operate closer to the standard discharge range will help maintain normal battery performance and slow SOH degradation.

[0106] For batteries with continuously used monthly average discharge exceeding the standard monthly average discharge rate, their monthly average discharge range package should be adjusted to a lower monthly average discharge range package. When a battery is in a high discharge state for a long period of time, internal chemical reactions intensify, potentially leading to accelerated electrode material loss and temperature increases, which in turn accelerates SOH degradation. Reducing the intensity of use of these batteries can effectively slow down battery aging and extend their service life.

[0107] Through such a package adjustment strategy based on data and high-order parameter fitting results, it is possible to dynamically match more suitable usage conditions for the battery according to the actual attenuation of the battery, ultimately achieving scientific operation and management of the battery and improving the overall utilization efficiency and economic benefits of the battery.

[0108] In a specific embodiment, based on the SOH decay results of the idle battery and the SOH decay results of the continuously used battery in each monthly average discharge range, high-order parameters are fitted to the results of different decay ranges, and the standard monthly average discharge capacity is determined to include:

[0109] A two-dimensional coordinate system for the decay distribution is constructed. In this coordinate system, the SOH decay results are plotted on the vertical axis, reflecting the degree of change in the battery's state of health. The monthly average discharge is plotted on the horizontal axis, measuring the battery's usage intensity over the course of a month. This coordinate system provides a foundational framework for subsequent data visualization and analysis. Further operations such as data fitting and curve drawing can be performed based on this coordinate system. Analysis of the data in this coordinate system can provide a basis for decision-making in battery operations management.

[0110] Based on the SOH decay results of continuously used batteries in each monthly average discharge range and the corresponding monthly average discharge range, multiple data points are generated in the above-constructed two-dimensional coordinate system for the decay result distribution. Each data point represents the average SOH decay of the continuously used battery within a specific monthly average discharge range. After generating multiple data points, these data points are fitted. Using an appropriate fitting algorithm (such as polynomial fitting, curve fitting, etc.), a curve is obtained that can better reflect the relationship between the SOH decay of the continuously used battery and the monthly average discharge amount, namely the continuously used battery decay curve. This curve shows the SOH decay trend of the continuously used battery under different monthly average discharge amounts.

[0111] Taking the SOH attenuation result of the idle battery as a fixed vertical coordinate, a straight line parallel to the horizontal axis is drawn in the two-dimensional coordinate system of the attenuation result distribution. This straight line is called the idle battery attenuation distribution line.

[0112] Find the intersection of the continuously used battery degradation curve and the idle battery degradation distribution line and define this intersection as the standard point. This intersection is significant because it indicates that, at this monthly average discharge level, the SOH degradation results for the continuously used battery and the idle battery are identical. The horizontal axis of this standard point is the standard monthly average discharge level we want to determine. This represents a critical monthly average discharge threshold used to distinguish the impact of different battery usage conditions on SOH degradation.

[0113] Based on the determined standard monthly average discharge, the monthly average discharge package for continuously used batteries will be adjusted: For continuously used batteries with a monthly average discharge below the standard monthly average discharge, their monthly average discharge package will be adjusted to a package with a higher monthly average discharge. This is because these batteries are currently used at a low intensity and may not be able to fully realize their performance. Appropriately increasing their usage intensity to bring them closer to the standard monthly average discharge will help maintain battery health and slow down state-of-health (SOH) degradation. For continuously used batteries with a monthly average discharge above the standard monthly average, their monthly average discharge package will be adjusted to a package with a lower monthly average discharge. Because these batteries are currently used at a high intensity, which may accelerate battery aging, reducing their usage intensity and keeping them away from excessively high monthly average discharge can effectively slow down the battery's SOH degradation and extend its service life.

[0114] For example Figure 5 As shown, the points in the triangle are the SOH attenuation results of the continuously used batteries in each monthly average discharge range, and a curve is fitted, namely the continuously used battery attenuation curve. The horizontal straight line is the idle battery attenuation distribution line. Find the intersection of the continuously used battery attenuation curve and the idle battery attenuation distribution line, and define this intersection as the standard point C. The horizontal coordinate of the standard point is the standard monthly average discharge that we want to determine. The circular points are the single continuously used battery attenuation SOH values ​​of each continuously used battery. For the continuously used batteries corresponding to the circular points with a monthly average discharge lower than this value, adjust its monthly average discharge range package to a package with a higher monthly average discharge range. For the continuously used batteries corresponding to the circular points with a monthly average discharge higher than this value, adjust its monthly average discharge range package to a package with a lower monthly average discharge range.

[0115] Similar in principle to the above embodiments, the present invention provides a battery degradation system for evaluating battery degradation under different usage conditions.

[0116] The following provides specific embodiments in conjunction with the accompanying drawings:

[0117] like Figure 6 A schematic diagram of the structure of a battery degradation evaluation system under different usage conditions in an embodiment of the present invention is shown.

[0118] The system comprises:

[0119] Data acquisition module 1, used to obtain usage data of each battery within a preset time period;

[0120] The battery grouping module 2 is connected to the data acquisition module 1 and is used to group the usage data of each battery into batteries, and obtain the usage data of idle batteries and the usage data of continuously used batteries in different monthly average discharge ranges;

[0121] an idle battery attenuation calculation module 3, connected to the battery grouping module 2, for calculating the SOH attenuation result of the idle battery based on the usage data of each idle battery;

[0122] A continuous use battery attenuation calculation module 4 is connected to the battery grouping module 2 and is used to calculate the SOH attenuation result of the continuous use battery in each monthly average discharge amount interval based on the usage data of each continuous use battery in different monthly average discharge amount intervals;

[0123] The operation guidance module 5 is connected to the idle battery attenuation calculation module 3 and the continuous use battery attenuation calculation module 4, and generates an operation management strategy for the idle battery and the continuous use battery based on the SOH attenuation results of the idle battery and the SOH attenuation results of the continuous use battery in each monthly average discharge range, so as to provide operation guidance for the idle battery and the continuous use battery.

[0124] Since the implementation principle of the battery degradation system for evaluating different usage conditions has been described in the aforementioned embodiment, it will not be repeated here.

[0125] The method for evaluating battery degradation under different usage conditions provided by the embodiment of the present invention can be implemented on the terminal side or the server side. As for the hardware structure of the electronic terminal, please refer to Figure 7 , is an optional hardware structure diagram of the electronic terminal 1000 provided in an embodiment of the present invention. The terminal 1000 can be a mobile phone, a computer device, a tablet device, a personal digital processing device, a factory background processing device, etc. The terminal 1000 includes: at least one processor 1001, a memory 1002, at least one network interface 10010 and a user interface 1009. The various components in the device are coupled together through a bus system 1005. It can be understood that the bus system 1005 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 1005 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 7 Various buses are labeled as bus systems.

[0126] The user interface 1009 may include a display, a keyboard, a mouse, a trackball, a click gun, keys, buttons, a touch pad or a touch screen.

[0127] It will be appreciated that the memory 1002 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM) or a programmable read-only memory (PROM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memory described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0128] The memory 1002 in the embodiment of the present invention is used to store various categories of data to support the operation of the terminal 1000. Examples of these data include: any executable program for operating on the terminal 1000, such as an operating system 10021 and an application 10022; the operating system 10021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 10022 can include various applications, such as a media player (MediaPlayer), a browser (Browser), etc., for implementing various application services. The method for evaluating battery attenuation under different usage conditions provided in the embodiment of the present invention can be included in the application 10022.

[0129] The methods disclosed in the above embodiments of the present invention can be applied to or implemented by processor 1001. Processor 1001 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in processor 1001 or by software instructions. The above processor 1001 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 1001 can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor 1001 may be a microprocessor or any conventional processor. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium located in a memory. The processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above method.

[0130] In an exemplary embodiment, the terminal 1000 may be used by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), and complex programmable logic devices (CPLDs) to execute the aforementioned method.

[0131] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with a computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0132] In the embodiments provided herein, the computer-readable and writable storage medium may include read-only memory, random access memory, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage device, flash memory, USB flash drive, removable hard drive, or any other medium capable of storing desired program code in the form of instructions or data structures and capable of being accessed by a computer. In addition, any connection may be appropriately referred to as a computer-readable medium. For example, if instructions are sent from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included in the definition of the medium. However, it should be understood that computer-readable and writable storage medium and data storage medium do not include connections, carrier waves, signals, or other temporary media, but are intended to refer to non-temporary, tangible storage media. Disk and disc, as used in this application, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers.

[0133] Compared with the prior art, the present invention has the following advantages:

[0134] 1. This invention distinguishes between continuous battery use and idle states based on complex operating conditions, accurately evaluating battery degradation under different usage conditions (such as different monthly average discharge ranges and idle durations). This accurately accounts for both frequent charging and discharging during continuous use and self-discharge losses during idle state, enabling dynamic assessment of battery degradation and effectively overcoming the industry's difficulty in accurately assessing battery degradation.

[0135] 2. This invention leverages advanced models to deeply explore the inherent relationship between different usage conditions (such as different monthly average discharge ranges and idle time) and battery degradation, thereby accurately identifying the optimal battery usage range. This provides scientific and precise guidance for battery health management.

[0136] 3. Based on a large amount of real and deeply analyzed data, this invention provides a solid theoretical reference for battery scheduling and leasing. It rationally arranges battery scheduling in different scenarios, prioritizing batteries in good health and with slow degradation to high-demand customers, achieving optimal resource allocation and improving operational efficiency and economic benefits.

[0137] 4. This invention rigorously controls quality from the data collection stage. Through multi-step data cleaning, screening, and scientific calculation methods, it ensures highly reliable indicators such as SOH. This allows for accurate assessment of battery degradation, regardless of the complex environment of battery swap stations or the diverse battery types and usage scenarios. This significantly improves the solution's practicality and accuracy, providing strong support for full battery lifecycle management.

[0138] In summary, the method, system, terminal and medium for evaluating battery attenuation under different usage conditions of the present invention obtains the usage data of each battery within a preset time period, groups them by usage, and obtains data of idle batteries and batteries in continuous use in different monthly average discharge ranges. Based on these data, the SOH attenuation results of idle batteries and the SOH attenuation results of batteries in continuous use in each monthly average discharge range are calculated respectively. Subsequently, the two types of attenuation results are combined to generate an operation management strategy to guide the operation of idle and continuously used batteries. The present invention accurately evaluates the attenuation of batteries under different usage conditions, quantifies the attenuation results of batteries, and provides reliable data basis for battery-swap heavy-duty truck operators, helping them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operating costs, improve transportation service quality, and promote efficient and sustainable development of the battery-swap heavy-duty truck industry. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and has a high industrial utilization value.

[0139] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, any equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. A method for evaluating battery degradation under different usage conditions, characterized in that: The method comprises: Obtaining usage data of each battery within a preset time period; The usage data of each battery is grouped into batteries to obtain the usage data of idle batteries and the usage data of continuously used batteries in different monthly average discharge ranges; Based on the idle battery data filtering mechanism, the idle battery SOH decay results are calculated according to the usage data of each idle battery; Based on the sustainable battery data filtering mechanism, the SOH decay results of the sustainable battery in each monthly average discharge range are calculated according to the usage data of each sustainable battery in different monthly average discharge ranges; Generate operational management strategies for idle batteries and continuously used batteries based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in each monthly average discharge range, so as to provide operational guidance for idle batteries and continuously used batteries; The step of grouping the usage data of each battery to obtain the usage data of idle batteries and the usage data of continuously used batteries in different monthly average discharge ranges includes: Determine the usage frequency of each battery based on the usage data of each battery, and divide the usage data into usage data of idle batteries and usage data of non-idle batteries; wherein the usage data of each idle battery is divided into usage data of a pre-idle interval and a post-idle interval; filtering usage data of each continuously used battery from the usage data of each non-idle battery according to battery charge and discharge behaviors in the usage data of the non-idle batteries; Dividing the usage data of each continuously used battery into usage data of different monthly average discharge amount intervals according to the calculated monthly average discharge amount of each continuously used battery; The usage data includes: battery number, battery usage time, battery SOH, battery cumulative discharge amount, battery daily discharge amount and battery charge and discharge behavior; The method of calculating the SOH attenuation result of the idle battery based on the usage data of each idle battery based on the idle battery data filtering mechanism includes: filtering the usage data of each idle battery based on the idle battery data filtering mechanism to obtain the effective SOH of the front and back intervals of the idle battery; calculating the attenuated SOH value of a single idle battery based on the effective SOH of the front and back intervals of each idle battery; calculating the SOH attenuation result of the idle battery based on the attenuated SOH values ​​of all single idle batteries; wherein, the method of calculating the SOH attenuation result of the idle battery based on the attenuated SOH values ​​of all single idle batteries includes: screening the SOH attenuation value of each single idle battery according to the 3σ interval; and calculating the average value of the SOH attenuation values ​​of each screened single idle battery to obtain the SOH attenuation result of the idle battery.

2. The method for evaluating battery degradation under different usage conditions according to claim 1, characterized in that: The idle battery data filtering mechanism includes: Preliminary filtering of data that does not meet idle data filtering conditions in the current idle battery usage data; wherein the idle data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; The SOH in the remaining data after the preliminary filtering of the current idle battery is screened according to the 1σ interval to obtain the effective SOH; Determine whether the effective SOH of the current idle battery in the interval before and after the idle state meets the effective SOH condition; wherein the effective SOH condition includes: the effective SOH fluctuation in the interval before and after the idle state is greater than the set fluctuation threshold and the number of effective SOHs in the interval before and after the idle state is greater than the set number; If it meets the requirements, the effective SOH in the filtered idle interval will be used as the effective SOH of the interval before and after the current idle battery to calculate the subsequent single idle battery attenuation SOH value; If not, the usage data of the current idle battery is deleted from the data of the idle battery.

3. The method for evaluating battery degradation under different usage conditions according to claim 1, characterized in that: Calculating the attenuated SOH value of each idle battery according to the effective SOH of the preceding and following intervals of each idle battery includes: Calculate the average value of all valid SOHs and dates corresponding to each valid SOH within the interval before and after the idle battery is idle, obtain the SOH results and dates corresponding to the interval before and after the idle battery, and calculate the date difference between the interval before and after the idle battery; The SOH decay value of a single idle battery is calculated based on the SOH results corresponding to the idle period before and after the idle battery and the date difference.

4. The method for evaluating battery degradation under different usage conditions according to claim 1, characterized in that: The SOH decay result of the continuously used battery in each monthly average discharge amount interval is calculated based on the usage data of each continuously used battery in different monthly average discharge amount intervals based on the continuously used battery data filtering mechanism, including: Based on the sustainable battery data filtering mechanism, the usage data of each continuously used battery in each monthly average discharge range is filtered to obtain the effective SOH of each continuously used battery in each monthly average discharge range; Calculate the decayed SOH value of a single continuously used battery in each monthly average discharge interval based on the effective SOH of each continuously used battery in each monthly average discharge interval; Calculate the SOH decay results of the continuously used batteries in each monthly average discharge interval based on the SOH decay values ​​of all individual continuously used batteries in each monthly average discharge interval; Among them, the calculation of the SOH attenuation result of the continuously used battery in each monthly average discharge amount interval based on the attenuation SOH values ​​of all individual continuously used batteries in each monthly average discharge amount interval includes: screening the attenuation SOH values ​​of the individual continuously used batteries in each monthly average discharge amount interval according to the 3σ interval; calculating the average value of the attenuation SOH values ​​of the individual continuously used batteries in each monthly average discharge amount interval after screening to obtain the SOH attenuation result of the continuously used battery in each monthly average discharge amount interval.

5. The method for evaluating battery degradation under different usage conditions according to claim 4, characterized in that: The sustainable battery data filtering mechanism includes: Preliminary filtering of data that does not meet the continuous battery use data filtering conditions in the current continuous battery use data; wherein the continuous battery use data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; The SOH in the data remaining after the initial filtering of the currently continuously used battery is screened according to the 1σ interval to obtain the effective SOH; Determine whether the effective SOH of the battery in each month of continuous use meets the effective SOH conditions; the effective SOH conditions include: the effective SOH fluctuation in each month is greater than the set fluctuation threshold and the number of effective SOHs in each month is greater than the set number; If it meets the requirements, the effective SOH of the battery in continuous use after screening is used as the effective SOH of the battery in continuous use, and the subsequent calculation of the attenuated SOH value of a single battery in continuous use corresponding to the average monthly discharge range is performed; If it does not meet the requirements, the usage data of the current continuous battery use will be deleted from the data of the corresponding monthly average discharge range.

6. The method for evaluating battery degradation under different usage conditions according to claim 4, characterized in that: Calculating the decayed SOH value of a single continuously used battery in each monthly average discharge interval according to the effective SOH of each continuously used battery in each monthly average discharge interval includes: The effective SOH of the battery currently in continuous use and its corresponding date are used as the vertical and horizontal coordinates to generate data points, and a linear fit is performed on each data point to obtain a fitted decay curve; The SOH values ​​and dates of the first and last data points of the fitted decay curve are used as the first SOH result, the second SOH result, the first date, and the second date, respectively, and the date interval is calculated from the first date and the second date; A single continuous use battery decay SOH value is calculated based on the first SOH result, the second SOH result, and the date interval of the current continuous use battery.

7. The method for evaluating battery degradation under different usage conditions according to claim 1, characterized in that: The battery management strategy for generating the idle battery and the continuously used battery based on the SOH decay result of the idle battery and the SOH decay result of the continuously used battery in each monthly average discharge range includes: Conduct promotional treatment on batteries classified as idle batteries; Based on the SOH attenuation results of the idle battery and the SOH attenuation results of the continuously used battery in each monthly average discharge range, a package adjustment strategy for the sustainable use battery is generated to adjust the monthly average discharge range packages of the sustainable use battery in different monthly average discharge ranges.

8. The method for evaluating battery degradation under different usage conditions according to claim 7, characterized in that: The package adjustment strategy for generating a sustainable battery based on the SOH decay results of the idle battery and the SOH decay results of the continuously used battery in each monthly average discharge range includes: Based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in each monthly average discharge range, the results of different decay ranges are fitted by high-order parameters, and the standard monthly average discharge capacity is determined; The monthly average discharge range packages for continuous battery use with a monthly average discharge amount lower than the standard monthly average discharge amount will be adjusted to packages with a higher monthly average discharge amount range; the monthly average discharge range packages for continuous battery use with a monthly average discharge amount higher than the standard monthly average discharge amount will be adjusted to packages with a lower monthly average discharge amount range.

9. The method for evaluating battery degradation under different usage conditions according to claim 1, characterized in that: The calculation method of the battery SOH using the data includes: Obtaining battery charging data for each charge of the battery within a preset time period; Clean the charging data of each battery to eliminate invalid data; Based on the cleaned charging data of each battery, extract the charging process data that meets the effective charging cycle; Calculate the corresponding single charge capacity according to the charging process data that meets the effective charging cycle; Calculate the corresponding equivalent SOH based on each single charge capacity; Traverse the equivalent SOH in time order through the sliding window to obtain the normal equivalent SOH for each sliding window; Based on the normal equivalent SOH of the sliding window that meets the sample number requirement, the SOH of the battery at different time points and the current SOH are calculated.

10. A system for evaluating battery degradation under different usage conditions, characterized in that: The system comprises: A data acquisition module, used to acquire usage data of each battery within a preset time period; a battery grouping module, connected to the data acquisition module, for grouping the usage data of each battery into batteries, obtaining usage data of idle batteries and usage data of continuously used batteries in different monthly average discharge ranges; an idle battery attenuation calculation module, connected to the battery grouping module, for calculating the SOH attenuation result of the idle battery based on the usage data of each idle battery; a continuous use battery attenuation calculation module, connected to the battery grouping module, for calculating the SOH attenuation result of the continuous use battery in each monthly average discharge interval based on the usage data of each continuous use battery in different monthly average discharge intervals; An operation guidance module is connected to the idle battery attenuation calculation module and the continuously used battery attenuation calculation module, and generates an operation management strategy for the idle battery and the continuously used battery based on the SOH attenuation result of the idle battery and the SOH attenuation result of the continuously used battery in each monthly average discharge range, so as to provide operation guidance for the idle battery and the continuously used battery; The usage data includes: battery number, battery usage time, battery SOH, battery cumulative discharge amount, battery daily discharge amount and battery charge and discharge behavior; The idle battery attenuation calculation module is used to filter the usage data of each idle battery based on the idle battery data filtering mechanism to obtain the effective SOH of the front and rear intervals of the idle battery; calculate the attenuated SOH value of each idle battery according to the effective SOH of the front and rear intervals of each idle battery; calculate the SOH attenuation result of the idle battery based on the attenuated SOH values ​​of all individual idle batteries; wherein, the calculation of the SOH attenuation result of the idle battery based on the attenuated SOH values ​​of all individual idle batteries includes: screening the SOH attenuation value of each individual idle battery according to the 3σ interval; and calculating the average value of the SOH attenuation values ​​of each individual idle battery after screening to obtain the SOH attenuation result of the idle battery.

11. An electronic terminal, characterized in that: include: one or more memories and one or more processors; The one or more memories are used to store computer programs; The one or more processors, connected to the memory, are configured to run the computer program to perform the method as claimed in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that A computer program is stored, and when the computer program is executed by one or more processors, the method according to any one of claims 1 to 9 is executed.

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