Method and system for evaluating battery attenuation under different use conditions, terminal and medium

Abstract

The invention provides a method and system for evaluating battery attenuation under different use conditions, a terminal and a medium, and the method comprises the steps: obtaining the use data of each battery in a preset time period, and carrying out the grouping according to the use conditions, thereby obtaining the data of an idle battery and a continuously used battery in different monthly average discharge capacity intervals. Based on the data, the SOH attenuation result of the idle battery and the SOH attenuation result of the battery continuously used in each monthly average discharge capacity interval are respectively calculated. And then, combining the two attenuation results to generate an operation management strategy which is used for guiding the operation of idle and continuously used batteries. According to the method, the attenuation of the battery under different use conditions is accurately evaluated, the attenuation result of the battery is quantified, a reliable data basis is provided for a battery replacement heavy truck operator, the battery replacement heavy truck operator is assisted to optimize a battery management strategy, reasonably arrange a battery replacement and maintenance plan, reduce the operation cost, improve the transportation service quality, and promote efficient and sustainable development of the battery replacement heavy 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 swapping vehicles are widely used in a variety of long-distance heavy-load cargo transportation scenarios. For example, battery swapping heavy trucks undertake long-distance heavy-load cargo transportation tasks, and the driving conditions are complex and changeable. The average monthly discharge of batteries in different operating scenarios is different. The cumulative discharge of vehicle batteries may range from 3,000 to 20,000. For battery leasing, different average monthly discharges correspond to different packages and different costs. Excessive average monthly discharges will cause great pressure on the battery, accelerate the aging of electrode materials and damage to internal structures, and lead to increased battery degradation.

[0003] Vehicle operations have obvious seasonality and business off-seasons. In the off-season, such as in winter when bad weather affects construction and cargo transportation in some northern regions, or in some areas where specific agricultural products are mainly transported, the idle rate of heavy trucks in the non-harvest season increases significantly. According to statistics, the average monthly idle time of heavy trucks in some areas can reach 1-2 months, and even in extreme cases, such as when market demand shrinks severely, the idle time can exceed 6 months. During the idle period, the battery will still lose capacity, and there will be no rental income during this period. For the battery leasing business, if a large number of batteries are idle, it will cause losses to the company's revenue.

[0004] Traditional battery attenuation 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 during heavy truck driving. In the field of battery swapping vehicles, due to the lack of effective methods to accurately evaluate battery attenuation under different usage conditions, it is difficult for operators to accurately grasp the health 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 suddenly fail 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 mentioned above, the purpose of the present invention is to provide a method, system, terminal and medium for evaluating battery attenuation under different usage conditions, so as to solve the technical problem that the prior art lacks an effective method for accurately evaluating battery attenuation under different usage conditions, making it difficult for operators to accurately understand the battery health status in real time.

[0006] To achieve the above and other related objectives, the present invention provides a method for evaluating battery degradation under different usage conditions. The method includes: obtaining the usage data of each battery within a preset time period; 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 capacity intervals; based on the idle battery data filtering mechanism, calculating the SOH degradation result of idle batteries according to the usage data of each idle battery; based on the sustainable use battery data filtering mechanism, calculating the SOH degradation result of continuously used batteries in each monthly average discharge capacity interval according to the usage data of each continuously used battery in different monthly average discharge capacity intervals; generating an operation management strategy for idle batteries and continuously used batteries based on the SOH degradation result of idle batteries and the SOH degradation result of continuously used batteries in each monthly average discharge capacity interval to guide the operation of idle batteries and continuously used batteries; wherein, the grouping of 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 capacity intervals includes: determining the usage frequency of each battery according to the usage data of each battery, and dividing the usage data into the usage data of idle batteries and non-idle batteries; wherein, the usage data of each idle battery is divided into the usage data of the interval before idling and the interval after idling; screening the usage data of each continuously used battery from the usage data of non-idle batteries according to the battery charge and discharge behavior in the usage data of non-idle batteries; and dividing the usage data of each continuously used battery into the usage data in different monthly average discharge capacity intervals according to the calculated monthly average discharge capacity of each continuously used battery.

[0007] In an 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 an embodiment of the present invention, the calculating the SOH degradation result of idle batteries according to 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 interval segments of the idle battery; calculating the SOH degradation value of a single idle battery respectively according to the effective SOH of the front and rear interval segments of each idle battery; calculating the SOH degradation result of idle batteries based on all the SOH degradation values of single idle batteries; wherein, the calculating the SOH degradation result of idle batteries based on all the SOH degradation values of single idle batteries includes: screening the SOH degradation values of each single idle battery according to the 3σ interval; and calculating the average value of the screened SOH degradation values of each single idle battery to obtain the SOH degradation result of idle batteries.

[0009] In an 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%; screening the SOH in the remaining data after the preliminary filtering of the current idle battery according to the 1σ interval to obtain the effective SOH; determining whether the effective SOH in the idle front and rear intervals of the current idle battery meets the effective SOH conditions; wherein, the effective SOH conditions include: the fluctuation of the effective SOH in the idle front and rear intervals is greater than the set fluctuation threshold and the number of effective SOH in the idle front and rear intervals is greater than the set number; if it meets, using the effective SOH in the screened idle front and rear intervals as the effective SOH of the front and rear interval segments of the current idle battery for subsequent calculation of the attenuation SOH value of a single idle battery; if it does not meet, deleting the usage data of the current idle battery from the idle battery data.

[0010] In an embodiment of the present invention, the calculating the attenuation SOH value of a single idle battery according to the effective SOH of the front and rear interval segments of each idle battery respectively includes: calculating the average value of all the effective SOH in the idle front and rear intervals of the idle battery and the dates corresponding to each effective SOH to obtain the SOH result corresponding to the idle front and rear intervals of the idle battery by date, and calculating the date difference of the idle front and rear intervals of the idle battery; calculating the SOH attenuation value of a single idle battery based on the SOH result corresponding to the idle front and rear intervals of the idle battery and the date difference.

[0011] In an embodiment of the present invention, the calculating the SOH attenuation result of the continuously used batteries in each monthly average discharge amount interval based on the sustainable use battery data filtering mechanism according to the usage data of the continuously used batteries in different monthly average discharge amount intervals includes: based on the sustainable use battery data filtering mechanism, filtering the usage data of the continuously used batteries in each monthly average discharge amount interval to obtain the effective SOH of the continuously used batteries 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 according to the effective SOH of the continuously used batteries in each monthly average discharge amount interval; calculating the SOH attenuation result of the continuously used batteries in each monthly average discharge amount interval based on all the attenuation SOH values of the single continuously used batteries in each monthly average discharge amount interval; wherein, the calculating the SOH attenuation result of the continuously used batteries in each monthly average discharge amount interval based on all the attenuation SOH values of the single continuously used batteries in each monthly average discharge amount interval includes: screening the attenuation SOH values of the single continuously used batteries in each monthly average discharge amount interval according to the 3σ interval; calculating the average value of the screened attenuation SOH values of the single continuously used batteries in each monthly average discharge amount interval to obtain the SOH attenuation result of the continuously used batteries in each monthly average discharge amount interval.

[0012] In an embodiment of the present invention, the sustainable battery usage data filtering mechanism includes: preliminarily filtering the data in the current usage data of the continuously used battery that does not meet the continuously used battery data filtering conditions; wherein, the continuously used battery data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; screening the SOH in the remaining data 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 per month meets the effective SOH conditions; wherein, the effective SOH conditions include: the fluctuation of the effective SOH within each month is greater than the set fluctuation threshold and the number of effective SOH within each month is greater than the set number; if it meets, taking the effective SOH after the screening of the current continuously used battery as the effective SOH of the current continuously used battery to calculate the single continuously used battery attenuation SOH value in the corresponding monthly average discharge capacity interval; if it does not meet, deleting the usage data of the current continuously used battery from the data in the corresponding monthly average discharge capacity interval.

[0013] In an embodiment of the present invention, the calculating the single continuously used battery attenuation SOH value in each monthly average discharge capacity interval according to the effective SOH of each continuously used battery in each monthly average discharge capacity interval includes: taking the effective SOH of the current continuously used battery and its corresponding date as the ordinate and abscissa respectively to generate data points, and performing linear fitting on each data point to obtain a fitting attenuation curve; taking the SOH values and dates of the first and last data points of the fitting 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 single continuously used battery attenuation SOH value based on the first SOH result, the second SOH result and the date interval of the current continuously used battery.

[0014] In an embodiment of the present invention, the generating the battery management strategies for the idle battery and the continuously used battery 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 capacity interval includes: performing promotional processing on the batteries classified as idle batteries; generating a package adjustment strategy for the sustainable batteries based on the SOH attenuation results of the idle batteries and the SOH attenuation results of the continuously used batteries in each monthly average discharge capacity interval to adjust the monthly average discharge capacity interval packages of the sustainable batteries in different monthly average discharge capacity 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 an idle battery and the SOH decay results of a 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 an idle battery and the SOH decay results of a 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 a continuously used battery with a discharge amount lower than the standard 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 a continuously used battery with a discharge amount higher than the standard 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 effective charging cycle based on each battery charging data that has undergone data cleaning; calculating the corresponding single charging capacity according to each charging process data that meets the effective charging cycle; calculating the corresponding equivalent SOH based on each single charging capacity; traversing the equivalent SOH arranged in time order through a sliding window to obtain a normal equivalent SOH for 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; an idle 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 and other related objectives, the present invention provides an electronic terminal, including: one or more memories and one or more processors; the one or more memories are used for storing computer programs; the one or more processors are connected to the memories and are used for running the computer programs to execute the method for evaluating battery attenuation under different usage conditions.

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

[0020] As described above, the present invention is a method, system, terminal and medium for evaluating battery attenuation under different usage conditions, and has the following beneficial effects: The present invention obtains various battery usage data within a preset time period, groups them according to usage conditions, and obtains data of idle batteries and continuously used batteries in different monthly average discharge amount intervals. Based on these data, a data filtering mechanism for idle battery data and a data filtering mechanism for continuously used battery data are adopted for data filtering, and the SOH attenuation results of idle batteries and the SOH attenuation results of continuously used batteries in each monthly average discharge amount interval are calculated respectively. The data filtering mechanism eliminates the abnormal health status and invalid data that appear in idle batteries and continuously used batteries respectively, ensuring the reliability of the calculation basis and significantly improving the accuracy of calculating the 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, provides a reliable data basis for battery swapping heavy truck operators, helps them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operation costs, improve transportation service quality, and promote the efficient and sustainable development of the battery swapping heavy truck industry. Description of the Drawings

[0021] Figure 1 It shows a schematic flowchart of the method for evaluating battery attenuation under different usage conditions in an embodiment of the present invention.

[0022] Figure 2 It shows a schematic flowchart of the method for evaluating battery attenuation under different usage conditions in an embodiment of the present invention.

[0023] Figure 3 It shows a schematic diagram of the change of SOH data of idle batteries in an embodiment of the present invention.

[0024] Figure 4 It shows a schematic diagram of the change of SOH data of continuously used batteries in an embodiment of the present invention.

[0025] Figure 5It shows a schematic diagram of the fitting results for different attenuation intervals in an embodiment of the present invention.

[0026] Figure 6 It shows a schematic structural diagram of a battery attenuation system for evaluating under different usage conditions in an embodiment of the present invention.

[0027] Figure 7 It shows a schematic structural diagram of an electronic terminal in an embodiment of the present invention. Detailed implementation manners

[0028] The following uses specific specific examples to illustrate the implementation manners of the present invention. 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 implementation manners. Various 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, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[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 can also be used, and mechanical composition, structure, electrical, and operational changes can 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 only defined by the claims of the published patent. The terms used here are only for describing specific embodiments and are not intended to limit the present invention. Spatially related terms, such as "upper", "lower", "left", "right", "below", "beneath", "lower part", "above", "upper part", etc., can be used in the text to facilitate the description of the relationship between an element or feature shown in the figure and another element or feature.

[0030] Throughout the specification, when it is said that a part is "connected" to another part, this includes not only the case of "direct connection", but also the case of "indirect connection" with other elements placed therebetween. In addition, when it is said that a certain part "includes" a certain constituent element, unless there is a particularly contrary record, it does not exclude other constituent elements, but means that other constituent elements can also be included.

[0031] The first, second, and third terms mentioned therein are used to describe various parts, components, regions, layers, and / or segments, but are not limited thereto. These terms are only used to distinguish a part, component, region, layer, or segment from other parts, components, regions, layers, or segments. Therefore, the first part, component, region, layer, or segment described below can refer to the second part, component, region, layer, or segment within the scope not exceeding 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 clearly dictates otherwise. It should be further understood that the terms "comprising", "including" indicate the presence of the stated features, operations, elements, components, items, kinds, and / or groups, but do not preclude 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 to be construed as inclusive, meaning either 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 are inherently mutually exclusive in some manner.

[0033] The present invention provides a method for evaluating battery degradation under different usage conditions. By obtaining the usage data of each battery within a preset time period, grouping them according to usage scenarios, data of idle batteries and batteries continuously used in different monthly average discharge intervals can be obtained. Based on this data, the SOH degradation results of idle batteries and the SOH degradation results of batteries continuously used in each monthly average discharge interval are calculated respectively. Subsequently, the two types of degradation 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 degradation of batteries under different usage conditions, quantifies the degradation results of batteries, provides reliable data basis for battery swapping heavy truck operators, helps them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operation costs, improve transportation service quality, and promote the efficient and sustainable development of the battery swapping heavy truck industry.

[0034] The following will refer to the accompanying drawings to elaborate on the embodiments of the present invention in detail, so that those skilled in the technical field of the present invention can easily implement it. The present invention can be embodied in many different forms and is not limited to the embodiments described herein.

[0035] As Figure 1 Shown is a schematic structural diagram of a method for evaluating battery degradation under different usage conditions in an embodiment of the present invention.

[0036] The method includes: Step S1: Obtain the usage data of each battery within a preset time period.

[0037] In one embodiment, the preset time period is greater than one month, and the usage data includes: Battery number. Each battery is assigned a number, which is the key identifier for identifying and differentiating different batteries. Through this number, the data of specific batteries can be accurately recorded and tracked, ensuring the one-to-one correspondence between the data and the batteries.

[0038] Battery life refers to the cumulative duration of a battery's preset time period. This data is of great reference value for evaluating the battery's attenuation and service life.

[0039] 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 in a brand new state.

[0040] The cumulative discharge capacity of the battery records the total amount of electricity released by the battery within a preset time period.

[0041] The daily discharge capacity of a battery refers to the amount of electricity released by the battery during a certain period of time each day.

[0042] The battery charging and discharging behavior records in detail each charging and discharging process of the battery within a preset time period, including the charging start time, charging end time, charging current, charging voltage change, discharging start time, discharging end time, discharging current, discharging voltage change and other information.

[0043] In one embodiment, the battery state of health (SOH) assessment is crucial for the management and maintenance of batteries in battery swap stations. The battery SOH in the usage data can be reported by the BMS, but a more accurate result can be obtained through algorithm calculation. The specific algorithm is: obtain the battery charging data of each charge of the battery within a preset time period; wherein the battery charging data includes: charging process data and the rated capacity of the battery; perform data cleaning on each battery charging data to eliminate invalid data; based on the battery charging data after data cleaning, extract the charging process data that meets the effective charging cycle; calculate the corresponding single charging capacity according to each charging process data that meets the effective charging cycle; calculate the corresponding equivalent SOH based on each single charging capacity; traverse the equivalent SOH arranged in time order through a sliding window to obtain each equivalent SOH of each sliding window; wherein the size of the sliding window is set to a set time period length; use the 2σ rule to select the normal equivalent SOH of each sliding window. A sliding window of normal equivalent SOH including at least a set threshold number is selected as a target sliding window, and the normal equivalent SOH of each target sliding window is obtained; the normal equivalent SOH of each target sliding window is averaged to obtain the SOH of each target sliding window at a corresponding time point.

[0044] 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.

[0045] Step S2: Group 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 amount ranges.

[0046] In one embodiment, step S2 includes: Determine the usage frequency of each battery according to the usage data of each battery, and divide the usage data into the usage data of idle batteries and non-idle batteries according to the usage frequency. Specifically, each battery can be divided by the usage time or the charge and discharge behavior of the battery. First, an idle time threshold can be predefined to determine whether a battery is an idle battery or a non-idle battery. A more preferred approach is to define an idle battery as not used for 30 consecutive days. That is, if a battery is determined to be in an unused state within 30 consecutive days by using the usage time, or there is no charge and discharge behavior within 30 consecutive days by judging the charge and discharge behavior of the battery, then this battery will be identified as an idle battery. For the usage data of idle batteries, it is further subdivided into the usage data of the interval before idling and the interval after idling. Such a division helps to more comprehensively analyze the performance changes of the battery before and after idling. In addition, the idle time of the idle battery needs to be confirmed, which can be converted on a monthly basis. For example, if the battery is idle for 45 days, it is defined as 1.5 months; if it is idle for 60 days, it is defined as 2 months. By adopting such a conversion method, it is convenient to carry out unified analysis and processing of the relevant data of idle batteries in the future.

[0047] According to the charge and discharge behavior in the usage data of non-idle batteries, screen out the usage data of each continuously used battery from the usage data of each non-idle battery; specifically, a continuously used battery time threshold is predefined to screen out continuously used batteries from each non-idle battery. A more preferred approach is to clearly define that within a one-month time range, the frequency of usage records is greater than 90%, that is, there are at least 27 days (30×90% = 27) of charge and discharge records, which is a continuously used battery. Through this step, the truly continuously used batteries among non-idle batteries are screened out to prepare for further analysis in the future.

[0048] According to the monthly average discharge capacity of each continuously used battery obtained by calculation, the usage data of each continuously used battery is divided into usage data in different monthly average discharge capacity intervals. Specifically, for each selected continuously used battery, it is necessary to calculate the monthly average discharge capacity based on its usage data, and then divide the usage data of these batteries into different monthly average discharge capacity intervals. There are mainly two methods to calculate the monthly average discharge capacity: one is to calculate based on the cumulative discharge capacity of the battery. By dividing the total cumulative discharge capacity of the battery by the total number of months of use, the monthly average discharge capacity can be obtained; the other is to use the daily discharge capacity of the battery. After adding up the daily discharge capacities and dividing by the number of months of statistics, the monthly average discharge capacity can also be obtained. Each monthly average discharge capacity interval is usually set with reference to the corresponding interval in each operation package. Taking the heavy truck battery as an example, the common monthly average discharge capacity intervals can be set as 3000 - 5000Ah, 5000 - 7000Ah, 7000 - 9000Ah, 9000 - 11000Ah, etc. During the actual operation process, the monthly average discharge capacity of each continuously used battery is compared with these established intervals one by one to determine the specific interval to which the battery belongs. In this way, the effective classification of the usage data of continuously used batteries can be achieved according to the monthly average discharge capacity.

[0049] Through the above three steps, the hierarchical classification processing of the usage data of all batteries is completed, and finally the data under different usage conditions are obtained, specifically including the data of two major categories: continuously used batteries (divided into intervals according to different monthly average discharge capacities) and idle batteries. These data provide a clear and organized data basis for subsequent work such as the attenuation evaluation and operation management of the batteries.

[0050] Step S3: Calculate the SOH attenuation result of the idle batteries based on the usage data of each idle battery.

[0051] In one embodiment, step S3 includes: Step S31: Based on the idle battery data filtering mechanism, filter the usage data of each idle battery to obtain the effective SOH of the front and rear interval segments of the idle battery; Step S32: Calculate the attenuation SOH value of a single idle battery respectively according to the effective SOH of the front and rear interval segments of each idle battery; Step S33: Based on the attenuation SOH values of all single idle batteries, calculate the SOH attenuation result of the idle batteries.

[0052] Step S31 eliminates abnormal and invalid data through a data filtering mechanism to ensure reliable calculation basis and avoid misleading judgments by incorrect data; Step S32 compares the average SOH before and after a single battery is idle to help determine its normal usage and maintenance requirements; Step S33 presents the overall health status through average calculation. The combination of these three steps first ensures data accuracy through data filtering, then calculates the attenuation of a single battery based on this to understand the individual health, and finally comprehensively obtains the overall health status, providing a comprehensive and crucial decision-making basis for battery management.

[0053] In one embodiment, the idle battery data filtering mechanism includes: Preliminarily filter the data in the usage data of the current idle battery that does not meet the idle data filtering conditions; specifically, when processing the idle battery data, the primary step is to clearly set the idle data filtering conditions according to specific idle data filtering conditions. The idle data filtering conditions are set as follows: the starting SOC in the data is not greater than 30% and the ending SOC is 100%. This condition has important judgment significance. When the starting SOC of the battery is at a relatively low level (not greater than 30%), and then the ending SOC rises to the full charge state (100%), this process indicates that the battery has experienced a complete charging process. During the idle period of the battery, such a complete charging process is relatively stable and regular, and can more truly reflect the performance and health status of the battery in the normal idle state. On the contrary, if the data does not meet the idle data filtering conditions, such as the starting SOC is too high, or the ending SOC does not reach 100%, it is very likely that there are abnormalities in the battery charging process, such as charging interruption, incomplete charging, etc. Such abnormal data will interfere with the subsequent SOH attenuation calculation and cause the calculation result to deviate from the actual situation. Therefore, in the preliminary filtering stage, the data that does not meet the idle data filtering conditions is screened out and excluded to eliminate its interference with the subsequent SOH attenuation calculation.

[0054] Screen the SOH in the remaining data after the preliminary filtering of the current idle battery according to the 1σ interval to obtain the effective SOH; specifically, after completing the preliminary filtering, next, use the 1σ interval to further screen the SOH in the remaining data to obtain the effective SOH. The 1σ interval, also known as the standard deviation interval, is a concept in statistics used to measure the degree of data dispersion. By setting the 1σ interval, we can regard the data that deviates from the normal range as outliers and eliminate them. Among the remaining data after the preliminary filtering, only the data with the SOH value falling within this 1σ interval is considered valid data. In this way, the reliability and stability of the data can be further improved to ensure that the subsequent calculation is based on data that more conforms to the true performance of the battery.

[0055] 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, it is necessary to further determine the effective SOH of the current idle battery before and after the idle period to determine whether these data can really be used to calculate SOH decay. Two important effective SOH conditions are set here: SOH fluctuation condition: The effective SOH fluctuation in the interval before and after idle is required to 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 if the SOH fluctuation is too large, it may indicate that the battery has experienced some unstable factors during the idle period, resulting in abnormal changes in its health state. Such abnormal fluctuation data may affect the accurate assessment of the normal SOH decay of the battery.

[0056] If the effective SOH fluctuation in the idle before and after interval of the current idle battery 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, these screened effective SOHs in the idle before and after 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.

[0057] If the effective SOH fluctuation of the current idle battery in the interval before and after idle is not greater than the set fluctuation threshold or the number of effective SOHs in the interval before and after idle is not 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.

[0058] In order to better describe the above filtering results, Figure 3 Take for example to illustrate, the circles in the figure are valid SOH data in the interval before and after the idleness, and the triangle points are excluded abnormal data.

[0059] In one embodiment, step S32 includes: Calculate the average value of all valid SOHs within the period before and after the idling of the idle battery and the dates corresponding to each valid SOH, obtain the SOH results corresponding to the period before and after the idling of the idle battery in terms of date, and calculate the date difference between the period before and after the idling of the idle battery; specifically, for all valid SOHs of the idle battery within the period before and after the idling, add these data and divide by the number of data to obtain the SOH average values corresponding to the period before and after the idling respectively, and use these as the SOH results SOH1 and SOH2 corresponding to the period before and after the idling. For the dates corresponding to each valid SOH, also calculate the average value. First, convert the dates to a unified time measurement method (such as the number of days calculated from a certain fixed starting date), then calculate the average value of these days, and then convert back to the corresponding date format to obtain the average dates date1 and date2 corresponding to the period before and after the idling respectively. Finally, calculate the difference between the average date date2 after idling and the average date date1 before idling to obtain the date difference Δday between the period before and after the idling.

[0060] Calculate the SOH attenuation value of a single idle battery based on the SOH results and the date difference corresponding to the period before and after the idling of the idle battery. Specifically, according to the SOH results and the date difference corresponding to the period before and after the idling calculated above, use the formula to calculate the SOH attenuation value of a single idle battery. The formula is: SOH attenuation value of a single continuously used battery = (SOH1 - SOH2) ÷ Δday × 30 (assuming a month has 30 days). Through this formula, convert the SOH attenuation situation of the idle battery during the idling period into an average attenuation value in units of months, so as to provide accurate data support for evaluating the battery health status.

[0061] Continue with Figure 3 as an example for illustration. The square points in the figure are the SOH results corresponding to the period before and after the idling of the idle battery obtained by calculating the valid SOHs within the period before and after the idling.

[0062] In one embodiment, step S33 includes: Screen the SOH attenuation values of each single idle battery according to the 3σ interval; specifically, in statistics, the 3σ interval is a commonly used method for identifying data outliers. Assume that all the SOH attenuation values of single idle batteries form a data set. First, calculate the mean (μ) and standard deviation (σ) of this data set. In this step, compare the SOH attenuation values of each single idle battery with this 3σ interval, and regard the data falling outside the interval as outliers and eliminate them.

[0063] After screening through the 3σ interval and removing outliers, the average value of the SOH decay values of each individual idle battery after screening is calculated to obtain the SOH decay result of the idle battery. Suppose there are still n SOH decay values of individual idle batteries left after screening, which are x1, x2,..., xn respectively. Then the SOH decay result of the idle battery = (x1 + x2 +... + xn) ÷ n. In this way, a relatively accurate, stable, and quantitative result of the overall SOH decay of the idle battery that excludes the influence of abnormal fluctuations can be obtained. For example, if the finally calculated result is a monthly decay of 0.17 SOH, this clearly indicates that after comprehensively considering the data of many idle batteries, the average monthly SOH decay degree of the idle battery is 0.17.

[0064] Step S4: Based on the usage data of each continuously used battery in different monthly average discharge capacity intervals, calculate the SOH decay result of the continuously used batteries in each monthly average discharge capacity interval.

[0065] In one embodiment, step S4 includes: Step S41: Based on the sustainable use battery data filtering mechanism, filter the usage data of each continuously used battery in each monthly average discharge capacity interval to obtain the effective SOH of each continuously used battery in each monthly average discharge capacity interval; Step S42: Calculate the SOH decay value of each individual continuously used battery in each monthly average discharge capacity interval according to the effective SOH of each continuously used battery in each monthly average discharge capacity interval; Step S43: Based on the SOH decay values of all individual continuously used batteries in each monthly average discharge capacity interval, calculate the SOH decay result of the continuously used batteries in each monthly average discharge capacity interval.

[0066] Step S41 filters the usage data through the sustainable use battery data filtering mechanism, which can exclude abnormal or invalid data; step S42 calculates the SOH decay value of each individual continuously used battery according to the effective SOH in each monthly average discharge capacity interval, which can refine the analysis of the battery decay situation; step S43 calculates the SOH decay result of the continuously used batteries in this interval based on the SOH decay values of all individual continuously used batteries in each monthly average discharge capacity interval, which can grasp the overall decay situation of the batteries in this monthly average discharge capacity interval; these three steps are interrelated, and gradually and deeply calculate the SOH decay of the continuously used batteries from data screening to individual analysis and then to overall evaluation, which is of great significance for accurately grasping the battery performance change, optimizing the battery management, and improving the battery service life.

[0067] In one embodiment, the sustainable use battery data filtering mechanism includes: Preliminarily filter the data in the usage data of the currently continuously used battery that does not meet the filtering conditions for continuously used battery data; specifically, at this stage, mainly conduct a preliminary screening of the usage data of the currently continuously used battery based on specific filtering conditions for continuously used battery data. The set filtering conditions for continuously used battery data are: the starting SOC in the data is not greater than 30% and the ending SOC is 100%. This filtering condition means that the battery has experienced a complete process from low battery to full charge. In the normal continuous use scenario of the battery, such a charging process is relatively stable and conforms to the conventional usage pattern, and can more truly reflect the performance and health status of the battery in the normal working state. On the contrary, if the data does not meet this condition, such abnormal data will interfere with the subsequent SOH decay calculation, resulting in the calculation result deviating from the real situation. Therefore, in the preliminary filtering stage, filter out and exclude the data that does not meet this condition.

[0068] After completing the preliminary data filtering, screen the SOH in the remaining data after the preliminary filtering of the currently continuously used battery according to the 1σ interval to obtain the effective SOH; by setting the 1σ interval, we can identify and exclude the data that deviates from the normal range as outliers.

[0069] After the first two steps of screening, it is also necessary to deeply judge the effective SOH of each month of the currently continuously used battery to determine whether these data are really applicable to the subsequent calculation. Here, two key effective SOH conditions are set: SOH fluctuation condition: It is required that the fluctuation of the effective SOH within each month is greater than the set fluctuation threshold; preferably, the SOH fluctuation within each month is set to be less than 3%. This is because if the SOH fluctuation is too large, it may indicate that the battery has experienced some unstable factors during the use in that month, resulting in abnormal changes in its health status. Such data with abnormal fluctuations may interfere with the accurate assessment of the normal SOH decay of the battery.

[0070] Number of effective data condition: At the same time, it is required that the number of effective SOH within each month is greater than the set number, generally set to be greater than 5 for the number of effective data within each month. This is to ensure that there is enough data volume to accurately reflect the change in the health status of the battery in that month. If the number of effective data is too small, it may not be able to accurately capture the true change trend of the battery SOH, resulting in inaccurate SOH decay calculation results.

[0071] If the effective SOH fluctuation of the current battery in continuous use 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 battery in continuous use and used for the subsequent calculation of the attenuation SOH value of a single battery in continuous use corresponding to the average monthly discharge range.

[0072] If the effective SOH fluctuation of the battery in each month of continuous use is not greater than the set fluctuation threshold or the number of effective SOH in each month is greater than the set number, then it will be considered that the battery usage data cannot accurately reflect its situation under normal continuous use and may contain many anomalies or errors. In order to ensure the accuracy of the overall calculation results, the battery usage data will be deleted from the data of the corresponding monthly average discharge range and will no longer be included in the subsequent SOH decay calculation process.

[0073] 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 use of the battery, and the triangle points represent the excluded abnormal data.

[0074] In one embodiment, step S42: The effective SOH of the battery currently in continuous use and its corresponding date are used as the ordinate and abscissa to generate data points, and each data point is linearly fitted to obtain a fitted attenuation curve; specifically, a two-dimensional coordinate system with the effective SOH and date as the ordinate Y and abscissa X is constructed; the effective SOH of the battery currently in continuous use is used as the ordinate and the corresponding date as the abscissa to generate a series of data points in the two-dimensional coordinate system. These data points intuitively show the changes in battery SOH over time. However, the original data may fluctuate. In order to more clearly present the attenuation trend of the battery SOH, these data points need to be linearly fitted. Find a straight line y = kx + b so that this line is as close to all data points as possible, where y represents the SOH value, x represents the date, k is the slope of the line, and b is the intercept. Through linear fitting, we get a fitted attenuation curve, which can more accurately reflect the attenuation law of battery SOH over time. Alternatively, the average effective SOH value of each month and the corresponding date are calculated to obtain the average value, thereby generating the average SOH data point of each month, and fitting the average SOH data points of each month to obtain the fitting attenuation curve.

[0075] 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). At the same time, 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 date and the second date, we obtain the time interval of the valid data. This time interval reflects the usage duration of the battery during the observation period.

[0076] Calculate the decay SOH value of a single continuously used battery based on the first SOH result, the second SOH result, and the time interval of the currently continuously used battery. Specifically, given the first SOH result (soh1), the second SOH result (soh2), and the time interval Δday, the decay SOH value of a single continuously used battery can be calculated. The calculation of this value is based on the SOH change between these two key time points. The specific calculation formula is: decay SOH value of a single continuously used battery = (soh1 - soh2)÷Δday×30 (assuming a month has 30 days). This value can intuitively reflect the decay degree of the battery SOH within the given time interval, providing an important basis for evaluating the health status and remaining service life of the battery.

[0077] Step S42 processes the data in a linear fitting manner, which can, to a certain extent, eliminate the interference of data fluctuations, extract the main trend of the battery SOH change, and make the result more representative and reliable. By calculating the SOH difference and date difference between the first and last data points, the key information of the battery SOH change during a stage is captured, simplifying the calculation process and highlighting the overall decay situation.

[0078] Continue with Figure 4 as an example for illustration. The square points in the figure are the data points of the average SOH of the continuously used battery each month, and the curve in the figure is the fitted decay curve.

[0079] Calculate the SOH results corresponding to the intervals before and after the idle period of the idle battery.

[0080] In one embodiment, step S43 includes: Screen the decay SOH values of each single continuously used battery in the monthly average discharge capacity interval according to the 3σ interval; specifically, within each monthly average discharge capacity interval, multiple decay SOH values of single continuously used batteries will be obtained. However, there may be deviation values in these data due to various abnormal factors, such as measurement errors, sudden battery failures, etc. To ensure the accuracy and reliability of the final result, it is necessary to use the 3σ interval to screen these data. First, calculate the mean (μ) and standard deviation (σ) of the decay SOH values of all single continuously used batteries in the monthly average discharge capacity interval, and obtain the 3σ interval as [μ - 3σ, μ + 3σ]. Then, compare each decay SOH value with this interval, and regard the data falling outside the interval as outliers and exclude them. This can effectively eliminate the interference of abnormal data on the overall result, making the subsequent calculations based on more reasonable and stable data.

[0081] After screening by the 3σ interval, calculate the average value of the decay SOH values of each single continuously used battery in each monthly average discharge capacity interval after screening to obtain the SOH decay result of the continuously used battery in each monthly average discharge capacity interval. Suppose that in a certain monthly average discharge capacity interval, there are n decay SOH values of single continuously used batteries remaining after screening, which are y1, y2,..., yn respectively. Then the SOH decay result of the continuously used battery in this interval = (y1 + y2 +... + yn) ÷ n. The SOH decay result obtained in this way can more accurately reflect the change in the overall health status of the continuously used battery in each monthly average discharge capacity interval.

[0082] 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 capacity interval to provide operation guidance for idle batteries and continuously used batteries.

[0083] In one embodiment, step S5 includes: For the batteries classified as idle, in order to improve their utilization rate, reduce battery decay caused by long-term idleness, and obtain certain benefits at the same time, promotional measures are taken. For example, implement a rental promotion strategy to reduce the rental price of the battery and attract more users to use the idle battery. This can not only put the idle battery back into use and slow down its SOH decay rate, but also bring economic benefits to the battery operator and achieve the effective utilization of resources.

[0084] Generate a package adjustment strategy for 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 capacity interval to adjust the monthly average discharge capacity interval packages of continuously used batteries in different monthly average discharge capacity intervals.

[0085] In one embodiment, the package adjustment strategy for sustainable use of batteries generated based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in the monthly average discharge interval includes: Based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in the monthly average discharge interval, the results of different decay intervals are fitted by high-order parameters, and the standard monthly average discharge is determined; high-order parameter fitting can explore the potential laws behind complex data. By constructing a suitable mathematical model, different decay situations are associated with the corresponding monthly average discharge, thereby dividing different decay intervals.

[0086] For continuously used batteries with a monthly average discharge lower than the standard monthly average discharge, the package of their monthly average discharge interval is adjusted to a package of a higher monthly average discharge interval. This is because the discharge of such batteries is too small, and their performance may not be fully exerted. Being in a low-load state for a long time may even affect the activity of the internal chemical substances of the battery and accelerate battery aging. Appropriately increasing their usage intensity and making them work in an interval closer to the standard discharge helps to maintain the normal performance of the battery and delay SOH decay.

[0087] For continuously used batteries with a monthly average discharge higher than the standard monthly average discharge, the packages of their monthly average discharge intervals are adjusted to packages of lower monthly average discharge intervals. When the battery is in a high-discharge state for a long time, the internal chemical reaction intensifies, which may lead to accelerated loss of electrode materials and increased temperature, thereby accelerating SOH decay. Reducing the usage intensity of such batteries can effectively slow down the aging speed of the battery and extend its service life.

[0088] 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 decay situation of the battery, and finally achieve scientific operation and management of the battery, improving the overall usage efficiency and economic benefits of the battery.

[0089] In a specific embodiment, based on the SOH decay results of idle batteries and the SOH decay results of continuously used batteries in the monthly average discharge interval, the results of different decay intervals are fitted by high-order parameters, and the determination of the standard monthly average discharge includes: Construct a two-dimensional coordinate system for the attenuation result distribution. In this coordinate system, the SOH attenuation result is used as the vertical axis, which reflects the degree of change in the battery health state; the monthly average discharge capacity is used as the horizontal axis, which is used to measure the usage intensity of the battery within a month. Such a coordinate system provides a basic framework for subsequent data visualization and analysis. Based on this coordinate system, operations such as data fitting and curve plotting can be further carried out. By analyzing the data in the coordinate system, it can provide a decision-making basis for the operation and management of the battery.

[0090] Based on the SOH attenuation results of continuously used batteries in each monthly average discharge capacity interval and their corresponding monthly average discharge capacity intervals, generate multiple data points in the above-mentioned constructed two-dimensional coordinate system for the attenuation result distribution. Each data point represents the average SOH attenuation of continuously used batteries within a specific monthly average discharge capacity interval. After generating multiple data points, perform a fitting operation on these data points. Through appropriate fitting algorithms (such as polynomial fitting, curve fitting, etc.), obtain a curve that can better reflect the relationship between the SOH attenuation of continuously used batteries and the monthly average discharge capacity, that is, the attenuation curve of continuously used batteries. This curve shows the SOH attenuation trend of continuously used batteries under different monthly average discharge capacities.

[0091] Take the SOH attenuation result of the idle battery as the fixed vertical coordinate, and draw a straight line parallel to the horizontal axis in the two-dimensional coordinate system for the attenuation result distribution. This straight line is called the attenuation distribution line of the idle battery.

[0092] Find the intersection point of the attenuation curve of continuously used batteries and the attenuation distribution line of the idle battery, and define this intersection point as the standard point. This intersection point is of great significance. It indicates that at this monthly average discharge capacity, the SOH attenuation result of continuously used batteries is the same as that of idle batteries. And the abscissa of this standard point is the standard monthly average discharge capacity we want to determine. It represents a key monthly average discharge capacity threshold for distinguishing the influence of different battery usage states on SOH attenuation.

[0093] According to the determined standard monthly average discharge capacity, adjust the monthly average discharge capacity interval package for continuously used batteries: For continuously used batteries in the monthly average discharge capacity interval with a monthly average discharge capacity lower than the standard monthly average discharge capacity, adjust their monthly average discharge capacity interval package to a package with a higher monthly average discharge capacity interval. This is because the current usage intensity of these batteries is relatively low, and they may not be able to fully utilize their performance. Appropriately increasing their usage intensity to make it closer to the standard monthly average discharge capacity helps maintain the health of the battery and slow down the SOH decay. For continuously used batteries in the monthly average discharge capacity interval with a monthly average discharge capacity higher than the standard monthly average discharge capacity, adjust their monthly average discharge capacity interval package to a package with a lower monthly average discharge capacity interval. Because the current usage intensity of these batteries is relatively high, it may accelerate the aging of the battery. Reducing their usage intensity to keep it away from the excessive monthly average discharge capacity can effectively slow down the SOH decay rate of the battery and extend the service life of the battery.

[0094] For example Figure 5 As shown, the triangular points are the SOH decay results of continuously used batteries in each monthly average discharge capacity interval, and a curve is fitted, that is, the continuously used battery decay curve. The horizontal straight line is the decay distribution line of idle batteries. Find the intersection point of the continuously used battery decay curve and the idle battery decay distribution line, and define this intersection point as the standard point C. For the abscissa of this standard point, it is the standard monthly average discharge capacity we need to determine. The circular points are the individual continuously used battery decay SOH values of each continuously used battery. For continuously used batteries corresponding to circular points with a monthly average discharge capacity lower than this value, adjust their monthly average discharge capacity interval package to a package with a higher monthly average discharge capacity interval. For continuously used batteries corresponding to circular points with a monthly average discharge capacity higher than this value, adjust their monthly average discharge capacity interval package to a package with a lower monthly average discharge capacity interval.

[0095] Similar to the principle of the above embodiment, the present invention provides a battery decay system for evaluating under different usage conditions.

[0096] The following provides specific embodiments in conjunction with the accompanying drawings: As Figure 6 Shows a schematic structural diagram of a battery decay system for evaluating under different usage conditions in an embodiment of the present invention.

[0097] The system includes: A data acquisition module 1 for acquiring the usage data of each battery within a preset time period; A battery grouping module 2 connected to the data acquisition module 1 for 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 capacity intervals; The idle battery attenuation calculation module 3 is connected to the battery grouping module 2 and is used to calculate the SOH attenuation result of the idle battery based on the usage data of each idle battery; The continuously used battery attenuation calculation module 4 is connected to the battery grouping module 2 and is used to calculate the SOH attenuation result of the continuously used battery in each monthly average discharge amount interval based on the usage data of the continuously used batteries in different monthly average discharge amount intervals; The operation guidance module 5 is connected to the idle battery attenuation calculation module 3 and the continuously used battery attenuation calculation module 4, 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 amount interval, so as to provide operation guidance for the idle battery and the continuously used battery.

[0098] Since the implementation principle of the battery attenuation system under different usage conditions in this evaluation has been described in the foregoing embodiments, it will not be repeated here.

[0099] The method for evaluating battery attenuation under different usage conditions provided by the embodiments of the present invention can be implemented on the terminal side or the server side. For the hardware structure of the electronic terminal, please refer to Figure 7 FIG. 12 is an optional hardware structure diagram of the electronic terminal 1000 provided by the embodiments of the present invention. The terminal 1000 may 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. Each component in the device is 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, in Figure 7 all kinds of buses are labeled as the bus system.

[0100] Among them, the user interface 1009 may include a display, a keyboard, a mouse, a trackball, a click gun, a button, a button, a touchpad, or a touch screen, etc.

[0101] It can be understood that the memory 1002 can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM, Read Only Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), 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, Static Random Access Memory), synchronous static random access memory (SSRAM, Synchronous Static Random Access Memory). The memory described in the embodiments of the present invention is intended to include but not limited to these and any other suitable categories of memory.

[0102] The memory 1002 in the embodiments of the present invention is used to store various categories of data to support the operation of the terminal 1000. Examples of such data include: any executable programs for operating on the terminal 1000, such as the operating system 10021 and application programs 10022; the operating system 10021 contains 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 programs 10022 can include various application programs, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The method for evaluating battery attenuation under different usage conditions provided by the embodiments of the present invention can be included in the application programs 10022.

[0103] The method disclosed in the embodiments of the present invention above can be applied to or implemented by the processor 1001. The processor 1001 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit in the hardware of the processor 1001 or the instructions in the form of software. The above-mentioned 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. The processor 1001 can implement or execute each method, step, and logic block diagram disclosed in the embodiments of the present invention. The general-purpose processor 1001 may be a microprocessor or any conventional processor, etc. Combining the steps of the accessory optimization method provided in the embodiments of the present invention can be directly embodied as being completed by the hardware decoding processor, or by a combination of the hardware and software modules in the decoding processor. The software module may be located in the storage medium, and this storage medium is located in the memory. The processor reads the information in the memory and combines its hardware to complete the steps of the foregoing method.

[0104] In an exemplary embodiment, the terminal 1000 may be one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs) for executing the foregoing method.

[0105] Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by hardware related to a computer program. The foregoing computer program may be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disks, or optical discs that can store program codes.

[0106] In the embodiments provided in the present application, the computer readable and writable storage medium may include a read-only memory, a random access memory, an EEPROM, a CD-ROM or other optical disk storage device, a disk storage device or other magnetic storage device, a flash memory, a USB flash drive, a mobile hard disk, or any other medium that can be used to store the desired program code in the form of an instruction or data structure and can be accessed by a computer. In addition, any connection can be appropriately referred to as a computer-readable medium. For example, if the instruction is sent from a website, a server or other remote source using a coaxial cable, an optical fiber cable, a twisted pair, a digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, the coaxial cable, optical fiber 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 media and data storage media do not include connections, carriers, signals, or other temporary media, but are intended to be 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.

[0107] Compared with the prior art, the present invention has the following advantages: 1. The present invention distinguishes between continuous use and idle state of the battery according to the actual complex working conditions, and accurately evaluates the attenuation data of the battery under different use conditions (such as different monthly average discharge ranges, idle time, etc.). Whether it is frequent charging and discharging during continuous use or self-discharge loss during idleness, it can be accurately considered, thereby realizing dynamic evaluation of battery attenuation, effectively overcoming the difficulty in the industry to accurately grasp the battery attenuation situation.

[0108] 2. With the help of advanced models, the present invention deeply explores the intrinsic relationship between different usage conditions (such as different monthly average discharge ranges, idle time, etc.) and battery attenuation, and then accurately finds the reasonable usage range of the battery. Based on this, it can provide scientific and accurate guidance for battery health management.

[0109] 3. This invention is based on a large amount of real and deeply analyzed data, providing a solid theoretical reference for battery scheduling and leasing. It rationally arranges the scheduling of batteries in different scenarios, and gives priority to leasing batteries with good health and slow decay to high-demand customers, so as to achieve optimal allocation of resources and improve operational efficiency and economic benefits.

[0110] 4. The present invention strictly controls the quality from the data collection stage. Through multi-step data cleaning, screening, and scientific calculation methods, it ensures that indicators such as SOH obtained are highly reliable. Whether in the complex environment of a battery swapping station or facing diverse battery types and usage scenarios, it can accurately evaluate battery degradation, greatly improving the practicability and accuracy of the solution, and providing strong support for the full life cycle management of batteries.

[0111] In summary, the battery degradation evaluation method, system, terminal, and medium of the present invention, by obtaining the usage data of each battery within a preset time period, grouping according to usage conditions, obtains the data of idle batteries and continuously used batteries in different monthly average discharge intervals. Based on these data, the SOH degradation results of idle batteries and the SOH degradation results of continuously used batteries in each monthly average discharge interval are calculated respectively. Subsequently, the two types of degradation 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 degradation of batteries under different usage conditions, quantifies the degradation results of batteries, provides reliable data basis for battery swapping heavy truck operators, helps them optimize battery management strategies, reasonably arrange battery replacement and maintenance plans, reduce operation costs, improve transportation service quality, and promote the efficient and sustainable development of the battery swapping heavy truck industry. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0112] The above embodiments are only used to exemplarily illustrate the principles and effects of the present invention, rather than to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still 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 includes: Obtaining the usage data of each battery within a preset time period; 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 amount intervals; Based on the idle battery data filtering mechanism, calculating the SOH attenuation result of idle batteries according to the usage data of each idle battery; Based on the sustainable use battery data filtering mechanism, calculating the SOH attenuation result of continuously used batteries in each monthly average discharge amount interval according to the usage data of each continuously used battery in different monthly average discharge amount intervals; 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 amount interval to provide operation guidance for idle batteries and continuously used batteries; Among them, the grouping of 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 amount intervals includes: Determining the usage frequency of each battery according to the usage data of each battery, and dividing the usage data into the usage data of idle batteries and non-idle batteries; among them, the usage data of each idle battery is divided into the usage data of the interval before idling and the interval after idling; According to the battery charge and discharge behavior in the usage data of non-idle batteries, screening the usage data of each continuously used battery from the usage data of each non-idle battery; According to the calculated monthly average discharge amount of each continuously used battery, dividing the usage data of each continuously used battery into usage data in different monthly average discharge amount intervals.

2. The method for evaluating battery degradation under different usage conditions according to claim 1, characterized in that 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.

3. The battery degradation evaluation method under different usage conditions according to claim 2, wherein The calculating the SOH attenuation result of idle batteries according to the usage data of each idle battery based on the idle battery data filtering mechanism includes: Based on the idle battery data filtering mechanism, filtering the usage data of each idle battery to obtain the effective SOH of the front and rear interval segments of the idle battery; Calculating the attenuation SOH value of a single idle battery according to the effective SOH of the front and rear interval segments of each idle battery respectively; Calculating the SOH attenuation result of idle batteries based on all single idle battery attenuation SOH values; Among them, the calculating the SOH attenuation result of idle batteries based on all single idle battery attenuation SOH values includes: screening the SOH attenuation values of each single idle battery according to the 3σ interval; calculating the average value of the screened SOH attenuation values of each single idle battery to obtain the SOH attenuation result of idle batteries.

4. The method for evaluating battery degradation under different usage conditions according to claim 3, characterized in that 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; among them, the idle data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; Screening the SOH in the remaining data after the preliminary filtering of the current idle battery according to the 1σ interval to obtain the effective SOH; Determine whether the effective SOH within the idle before and after intervals of the current idle battery meets the effective SOH conditions; wherein, the effective SOH conditions include: the fluctuation of the effective SOH within the idle before and after intervals is greater than the set fluctuation threshold and the number of effective SOH within the idle before and after intervals is greater than the set number; If it meets the conditions, use the effective SOH within the filtered idle before and after intervals as the effective SOH of the before and after intervals of the current idle battery for subsequent calculation of the SOH attenuation value of a single idle battery; If it does not meet the conditions, delete the usage data of the current idle battery from the idle battery data.

5. The method for evaluating battery degradation under different usage conditions according to claim 3, characterized in that The calculating the SOH attenuation value of a single idle battery respectively according to the effective SOH of the before and after intervals of each idle battery includes: Calculate the average value of all the effective SOH within the idle before and after intervals of the idle battery and the dates corresponding to each effective SOH, obtain the SOH result corresponding to the idle before and after intervals of the idle battery by date, and calculate the date difference of the idle before and after intervals of the idle battery; Calculate the SOH attenuation value of a single idle battery based on the SOH result corresponding to the idle before and after intervals of the idle battery and the date difference.

6. The battery degradation evaluation method under different usage conditions according to claim 2, characterized in that The calculating the SOH attenuation result of the continuously used batteries in each monthly average discharge capacity interval according to the sustainable use battery data filtering mechanism includes: Based on the sustainable use battery data filtering mechanism, filter the usage data of each continuously used battery in each monthly average discharge capacity interval to obtain the effective SOH of each continuously used battery in each monthly average discharge capacity interval; Calculate the SOH attenuation value of a single continuously used battery in each monthly average discharge capacity interval respectively according to the effective SOH of each continuously used battery in each monthly average discharge capacity interval; Calculate the SOH attenuation result of the continuously used batteries in each monthly average discharge capacity interval based on all the SOH attenuation values of a single continuously used battery in each monthly average discharge capacity interval; Among them, the calculating the SOH attenuation result of the continuously used batteries in each monthly average discharge capacity interval based on all the SOH attenuation values of a single continuously used battery in each monthly average discharge capacity interval includes: screening the SOH attenuation values of a single continuously used battery in each monthly average discharge capacity interval according to the 3σ interval; calculating the average value of the screened SOH attenuation values of each single continuously used battery in each monthly average discharge capacity interval to obtain the SOH attenuation result of the continuously used batteries in each monthly average discharge capacity interval.

7. The method for evaluating battery degradation under different usage conditions according to claim 6, wherein The sustainable use battery data filtering mechanism includes: Preliminarily filter the data in the usage data of the current continuously used battery that does not meet the continuously used battery data filtering conditions; wherein, the continuously used battery data filtering conditions include: the starting SOC in the data is not greater than 30% and the ending SOC is 100%; Screen the SOH in the remaining data after the preliminary filtering of the current continuously used battery according to the 1σ interval to obtain the effective SOH; Determine whether the effective SOH of the current continuously used battery each month meets the effective SOH conditions; wherein, the effective SOH conditions include: the fluctuation of the effective SOH within each month is greater than the set fluctuation threshold and the number of effective SOH within 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 to calculate the attenuated SOH value of a single battery in continuous use corresponding to the average monthly discharge range; 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.

8. The method for evaluating battery degradation under different usage conditions according to claim 6, characterized in that, The step of calculating the decayed SOH value of a single continuous-use battery in each monthly average discharge amount interval according to the effective SOH of each continuous-use battery in each monthly average discharge amount interval comprises: The effective SOH of the battery currently in continuous use and its corresponding date are used as the ordinate and abscissa to generate data points, and a linear fit is performed on each data point to obtain a fitted attenuation curve; The SOH values ​​and dates of the first and last data points of the fitted decay curve are respectively used as the first SOH result, the second SOH result, the first date, and the second date, 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.

9. The method for evaluating battery degradation under different usage conditions according to claim 2, wherein 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: Provide promotional treatment for batteries classified as idle batteries; 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 range, a package adjustment strategy for the sustainable use battery is generated to adjust the monthly average discharge amount range package of the sustainable use battery in different monthly average discharge amount ranges.

10. The method for evaluating battery degradation under different usage conditions according to claim 9, wherein The package adjustment strategy for generating a sustainable 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: 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; The packages for the monthly average discharge range of batteries that are continuously used and have 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 packages for the monthly average discharge range of batteries that are continuously used and have 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.

11. The method for evaluating battery degradation under different usage conditions according to claim 2, wherein 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 remove invalid data; Based on the charging data of each battery after data cleaning, extract the charging process data that meets the effective charging cycle; Calculate the corresponding single charge capacity according to each charging process data that meets the effective charging cycle; Based on each single charge capacity, calculate the corresponding equivalent SOH; 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.

12. A battery degradation system for evaluating under different usage conditions, characterized in that, The system comprises: A data acquisition module, configured to acquire the usage data of each battery within a preset time period; A battery grouping module, connected to the data acquisition module, configured to group 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 amount ranges; An idle battery attenuation calculation module, connected to the battery grouping module, configured to calculate the SOH attenuation result 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, configured to calculate the SOH attenuation result of continuously used batteries in each monthly average discharge amount range based on the usage data of each continuously used battery in different monthly average discharge amount ranges; An operation guidance module, connected to the idle battery attenuation calculation module and the continuously used battery attenuation calculation module, configured to generate operation management strategies for idle batteries and continuously used batteries based on the SOH attenuation result of idle batteries and the SOH attenuation result of continuously used batteries in each monthly average discharge amount range, so as to provide operation guidance for idle batteries and continuously used batteries.

13. An electronic terminal, characterized in that, Comprising: One or more memories and one or more processors; The one or more memories are configured to store computer programs; The one or more processors, connected to the memories, are configured to run the computer programs to execute the method described in any one of claims 1 to 11.

14. A computer-readable storage medium, characterized in that, A computer program is stored, and when the computer program is run by one or more processors, the method described in any one of claims 1 to 11 is executed.

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