Monomer cell performance calculation method and system, storage medium and electronic equipment

Abstract

The invention provides a single cell performance calculation method and system, a storage medium and electronic equipment. The single cell performance calculation method comprises the following steps: acquiring first time sequence information of a single cell and second time sequence information of a battery cluster; then rated percentage energy is obtained based on the capacity grading state of the experimental battery cell or the single battery cell, target percentage energy is calculated according to the first time sequence information and the second time sequence information, and a first health degree is obtained according to the rated percentage energy and the target percentage energy; further performing sliding window filtering on the first health degree to obtain a second health degree; performing linear fitting on the second health degree to obtain an attenuation rate; and obtaining the safe service life according to the attenuation rate. The method is optimized in calculation efficiency, does not need to depend on a large number of computing power resources, and is more suitable for the requirements of low cost and rapid calculation in a large-scale energy storage project; meanwhile, the method is high in calculation accuracy and wide in applicability.

Description

Technical Field

[0001] The present application relates to the technical field of battery cell performance, and in particular to a method, system, storage medium and electronic device for calculating the performance of a single battery cell. Background Art

[0002] The description and calculation of the health of current energy storage devices (including household storage, commercial storage and large-scale energy storage) are mainly concentrated at the battery cluster level, lacking comprehensive monitoring of the performance of individual batteries within the cluster.

[0003] There are two common methods for calculating the health of cells in a battery cluster:

[0004] High computing power method: Using machine learning or deep learning algorithms, a comprehensive analysis is performed by inputting multi-dimensional characteristic parameters of single cells (such as battery characteristic parameters, cluster parameters, environmental parameters, etc.), thereby calculating the health, decay rate, and safe service life of the single cells. Although this method can provide relatively accurate single cell health information, its calculation process consumes a lot of computing power and is difficult to meet the current large-scale energy storage project requirements for low-cost and fast calculations.

[0005] Table matching method: Based on old project data, the current health is estimated by looking up and matching historical data or using the number of cycles. Although this method is simple and direct, it has significant limitations. On the one hand, the aging characteristics of cells from different manufacturers and batches may vary greatly, affecting the accuracy of the estimation; on the other hand, this method is difficult to effectively evaluate the decay rate of single cells, and it is impossible to infer the accurate safe service life through health and decay rate. Summary of the invention

[0006] In order to solve the above technical problems, the present application provides a single cell performance calculation method, system, storage medium and electronic device.

[0007] Specifically, the present application provides a method for calculating the performance of a single cell, wherein the performance of the single cell includes at least a second health level, a decay rate, and a safe service life, and the method for calculating the performance of the single cell includes the following steps:

[0008] The first timing information of the single battery cell and the second timing information of the battery cluster are obtained.

[0009] The rated percentage energy is obtained based on the experimental battery cell or the single battery cell capacity distribution state, and the target percentage energy is calculated according to the first timing information and the second timing information to obtain a first health degree according to the rated percentage energy and the target percentage energy.

[0010] Perform sliding window filtering on the first health level to obtain a second health level.

[0011] A linear fit is performed on the second health status to obtain a decay rate.

[0012] And, the safe service life is obtained based on the decay rate.

[0013] In the above technical solution, the second health degree is obtained by combining the first health degree and sliding window filtering processing. This method can more accurately reflect the actual performance status of the single cell and reduce the error caused by data fluctuations. By performing linear fitting on the second health degree, the attenuation rate of the single cell can be more accurately calculated, which helps to predict the safe service life of the cell and provide a reliable basis for maintenance or replacement.

[0014] Compared with the high computing power method, the method provided in this application is optimized in computing efficiency, does not need to rely on a large amount of computing power resources, and is more suitable for the needs of low-cost and fast computing in large-scale energy storage projects; compared with the table lookup matching method, the calculation accuracy of this application is higher and has a wider applicability.

[0015] Further, obtaining the rated percentage energy based on the experimental battery cell includes:

[0016] A first charging energy and a first discharging energy at a set temperature are obtained based on the experimental battery cell.

[0017] Rated charging energy and rated discharging energy are obtained according to the first charging energy and the first discharging energy.

[0018] And, a rated percentage energy is obtained according to the rated charging energy and the rated discharging energy.

[0019] In the above technical solution, a standardized benchmark can be established by obtaining the rated percentage energy of the experimental battery cells at a set temperature; since the energy data of the experimental battery cells at the set temperature is obtained based on ideal working conditions, this calculation method is applicable to battery cells from different manufacturers and batches and has strong adaptability.

[0020] Furthermore, the step of obtaining the rated percentage energy based on the capacity distribution state of the single battery cell includes:

[0021] When the single cells are divided into different capacities, the first charging energy and the first discharging energy of the single cells are recorded based on a variety of temperature conditions.

[0022] Rated charging energy and rated discharging energy are obtained according to the first charging energy and the first discharging energy.

[0023] And, a rated percentage energy is obtained according to the rated charging energy and the rated discharging energy.

[0024] In the above technical solution, by recording the charging and discharging energy of the single cell under various temperature conditions, it is possible to have a more comprehensive understanding of the performance of the single cell in different environments, thereby improving the environmental adaptability of the calculation results.

[0025] Further, the calculation of the target percentage energy includes:

[0026] A plurality of window times are selected based on the first timing information and the second timing information, and a second charging energy and a second discharging energy of each single cell are obtained based on the plurality of window times, and a charging SOC change value and a discharging SOC change value are obtained at the same time.

[0027] The percentage charging energy is obtained according to the second charging energy and the charging SOC change value, and the percentage discharging energy is obtained according to the second discharging energy and the discharging SOC change value.

[0028] And, a target percentage energy is obtained according to the percentage charge energy and the percentage discharge energy, and a cell SOC change value is obtained according to the charge SOC change value and the discharge SOC change value.

[0029] In the above technical scheme, by selecting multiple time windows for analysis, the performance of the single cell in different time periods can be understood in more detail, thereby improving the refinement of the analysis; combining the charge and discharge energy and SOC change value for calculation can comprehensively consider the energy changes of the single cell during the charge and discharge process, thereby improving the comprehensiveness and accuracy of the calculation results.

[0030] Furthermore, obtaining the second health level includes:

[0031] A sliding window is selected based on the first health status of each single battery cell, and a target threshold is selected based on the sliding window.

[0032] Outlier detection is performed based on the first health level and the target threshold to obtain an abnormal sequence set and a non-abnormal sequence set.

[0033] And, filling abnormal values ​​based on the abnormal sequence set and the non-abnormal sequence set to obtain a target sequence set, and obtaining a second health level according to the target sequence set.

[0034] In the above technical solution, outlier detection and filling are performed through sliding windows and target thresholds, which can effectively smooth the data, reduce the noise and abnormal fluctuations in the energy data of single cells, and improve the stability and reliability of the data; by filling in outliers, the data sequence can be made more continuous and consistent, which is convenient for subsequent data processing and analysis, and enhances the consistency and integrity of the data.

[0035] Further, a fitting threshold is predetermined, and obtaining the decay rate includes:

[0036] A linear fit is performed on the second health level based on the fitting threshold, and a slope parameter and a determination coefficient are obtained based on the linear fitting result, so that when the slope parameter and the determination coefficient meet a preset fitting standard, the slope parameter is used as the decay rate.

[0037] In the above technical scheme, through linear fitting and preset fitting standards, the decay rate can be obtained more accurately, thereby improving the accuracy of the calculation results; using the determination coefficient to evaluate the goodness of fit can ensure the reliability and accuracy of the fitting results and avoid using unreliable fitting results; linear fitting can comprehensively consider the trend of the second health degree over time, providing a more comprehensive analysis result, which helps to gain a deeper understanding of the changing law of the second health degree.

[0038] Furthermore, a safe charging energy retention rate threshold and a time threshold are predetermined, and the step of obtaining the safe service life includes:

[0039] A natural number is obtained based on the second health status, and preset parameters are obtained according to the linear fitting result, so as to calculate the remaining available window time of the single cell according to the preset parameters, the natural number, the decay rate and the safe charging energy retention rate threshold.

[0040] The remaining safe use days are calculated according to the remaining available window time and the time threshold.

[0041] And, the safe use period is obtained based on the monomer SOC change value and the remaining safe use days.

[0042] In the above technical scheme, the preset parameters and the safe charging energy retention rate threshold are used for calculation, which can scientifically evaluate the remaining available window time and the remaining safe use days of the single battery cell, thereby ensuring the scientificity and accuracy of the evaluation results; by calculating the remaining safe use days and the safe use years, the safe use of the single battery cell can be evaluated in advance, which helps to take measures in advance, avoid potential safety risks, and improve the overall safety of the system.

[0043] In addition, combining the single cell SOC change value and the remaining safe use days for calculation can comprehensively evaluate the performance and safety of the single cell and provide comprehensive data support.

[0044] Based on the same concept, the present application also provides a single cell performance calculation system, the system is used to calculate the single cell performance, the single cell performance at least includes a second health, a decay rate and a safe service life; the system includes:

[0045] The acquisition module is used to acquire the first timing information of the single cell and the second timing information of the battery cluster, and acquire the rated percentage energy based on the experimental cell or the single cell capacity division state.

[0046] The first calculation module is used to calculate the target percentage energy according to the first timing information and the second timing information, so as to obtain a first health degree according to the rated percentage energy and the target percentage energy.

[0047] The filtering module is used to perform sliding window filtering on the first health status to obtain a second health status.

[0048] A fitting module is used to perform linear fitting on the second health degree to obtain a decay rate.

[0049] The second calculation module is used to obtain the safe service life according to the decay rate.

[0050] In the above technical solution, the first calculation module and the filtering module improve the accuracy and consistency of the data by finely analyzing and processing the data, thereby providing high-quality data support for subsequent analysis; the fitting module and the second calculation module can accurately obtain the second health, attenuation rate and safe service life of the single cell through scientific evaluation and calculation, thereby improving the scientificity and accuracy of the evaluation.

[0051] In addition, the system can quickly reflect the current performance status of single cells through real-time acquisition and processing of time series data, improving the ability of real-time monitoring and analysis.

[0052] Based on the same concept, the present application also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the single cell performance calculation method are implemented.

[0053] Based on the same concept, the present application also provides an electronic device, including a bus, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the memory and the processor are connected via the bus, and the computer program implements the steps in the single cell performance calculation method when executed by the processor.

[0054] Compared with the prior art, the beneficial effects of this application are:

[0055] The present application first obtains the first timing information of a single cell and the second timing information of a battery cluster; then obtains the rated percentage energy based on the experimental cell or the capacity division state of the single cell, and calculates the target percentage energy based on the first timing information and the second timing information, so as to obtain a first health degree based on the rated percentage energy and the target percentage energy; further performs sliding window filtering on the first health degree to obtain a second health degree; then performs linear fitting on the second health degree to obtain a decay rate; and, obtains the safe service life based on the decay rate. The present application has been optimized in terms of computational efficiency, does not need to rely on a large amount of computing resources, and is more suitable for the needs of low-cost and fast computing in large-scale energy storage projects; at the same time, the computational accuracy is high and it has a wider range of applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a flow chart of the single cell performance calculation method described in this application.

[0057] Figure 2 To adopt Figure 1 A system framework diagram of the single cell performance calculation method. DETAILED DESCRIPTION

[0058] The following is a further detailed description of a single cell performance calculation method, system, storage medium and electronic device of the present application in conjunction with specific embodiments and drawings.

[0059] Embodiment 1:

[0060] See also Figure 1 The present application provides a method for calculating the performance of a single cell, wherein the performance of the single cell includes at least a second health level, a decay rate, and a safe service life. The method for calculating the performance of the single cell includes the following steps:

[0061] The first timing information of the single battery cell and the second timing information of the battery cluster are obtained.

[0062] In some embodiments, the first timing information includes at least timing information of voltage, temperature, and SOC of a single battery cell, and the second timing information includes at least timing information of current and SOC of a battery cluster.

[0063] It should be noted that the above timing information must include a timestamp and ensure that the collection period of the same frame of data complies with international standards to avoid large differences between single cell data due to different collection times, which in turn affects subsequent calculation results.

[0064] Further, a rated percentage energy is obtained based on the experimental battery cell or the single battery cell capacity distribution state, and a target percentage energy is calculated according to the first timing information and the second timing information, so as to obtain a first health degree according to the rated percentage energy and the target percentage energy.

[0065] Further, obtaining the rated percentage energy based on the experimental battery cell includes:

[0066] A first charging energy and a first discharging energy at a set temperature are obtained based on the experimental battery cell, and a rated charging energy and a rated discharging energy are obtained according to the first charging energy and the first discharging energy.

[0067] And, a rated percentage energy is obtained according to the rated charging energy and the rated discharging energy.

[0068] In some embodiments, the rated charging energy and the rated discharging energy at a set temperature are obtained based on the cycle test data through the cycle test cells used in the current power station and from the same batch as the above battery cluster (avoiding the large tolerance caused by different batches), specifically:

[0069] The charging capacity, discharging capacity, charging energy and discharging energy of each cycle aging test of the batch are recorded at the set temperature to form a data array, and the charging energy and discharging energy are used as the first charging energy and the first discharging energy; when the discharge capacity is equal to the rated capacity, the corresponding first charging energy and the first discharging energy are recorded as the rated charging energy E at the set temperature. char-rated T and rated discharge energy E disc-rated T .

[0070] In the above technical solution, a standardized benchmark can be established by obtaining the rated percentage energy of the experimental battery cells at a set temperature; since the energy data of the experimental battery cells at the set temperature is obtained based on ideal working conditions, this calculation method is applicable to battery cells from different manufacturers and batches and has strong adaptability.

[0071] Furthermore, the step of obtaining the rated percentage energy based on the capacity distribution state of the single battery cell includes:

[0072] When the single cells are divided into different capacities, the first charging energy and the first discharging energy of the single cells are recorded based on a variety of temperature conditions, and the rated charging energy and the rated discharging energy are obtained according to the first charging energy and the first discharging energy.

[0073] And, a rated percentage energy is obtained according to the rated charging energy and the rated discharging energy.

[0074] In some embodiments, the charging energy E of a single cell is recorded when the cell is divided into different capacities.char-rated T and discharge energy E disc-rated T , as the rated charging energy and rated discharging energy of the single cell.

[0075] It should be noted that, when using this method, it is necessary to record the capacity division information under various temperature conditions. It is preferred to use two different temperatures for capacity division and record the capacity division information at the two temperatures. The preferred temperatures are 25°C and 40°C, and the MES data with the capacity division information and battery identity code is uploaded to the cloud platform database.

[0076] In the above technical solution, by recording the charging and discharging energy of the single cell under various temperature conditions, it is possible to have a more comprehensive understanding of the performance of the single cell in different environments, thereby improving the environmental adaptability of the calculation results.

[0077] Furthermore, after obtaining the rated charging energy and the rated discharging energy based on the experimental cell or the cell capacity state, the E char-rated T 、E disc-rated T Divide by 100 to get the rated charging energy E at the current ambient temperature. per-char-rated T and rated discharge energy E per-disc-rated T .

[0078] In addition, for temperature points without set cycle test samples, E is calculated by piecewise linear interpolation based on the number of test temperature samples. per-disc-rated T and E per-char-rated T Since this method is widely used, it will not be described in detail. The temperature selection can be the average temperature of the charging period within the window time and the average temperature of the discharging period within the window time.

[0079] The rated charging energy E of the current batch of single cells is obtained by the above method. per-char-rated T and rated discharge energy E per-disc-rated T , preferably using the rated discharge energy E per-disc-rated T As a percentage of rated energy.

[0080] Further, the calculation of the target percentage energy includes:

[0081] A plurality of window times are selected based on the first timing information and the second timing information, and a second charging energy and a second discharging energy of each single cell are obtained based on the plurality of window times, and a charging SOC change value and a discharging SOC change value are obtained at the same time.

[0082] In some embodiments, the window time is selected according to the first timing information and the second timing information. The window time needs to include at least one system state of charging or discharging, and the window time needs to include a change in the cell voltage and SOC.

[0083] When there is no single cell SOC, the cluster SOC can be used instead, but this will result in a decrease in the percentage charge and discharge energy distinction of the single cell. It is preferred to accumulate the second charging energy E of each single cell within the selected window time. char T , the second discharge energy E disc T .

[0084] The percentage charging energy is obtained according to the second charging energy and the charging SOC change value, and the percentage discharging energy is obtained according to the second discharging energy and the discharging SOC change value.

[0085] In some embodiments, the SOC change value ΔSOC is calculated based on the SOC change value ΔSOC when the cell is charged. char T and discharge SOC change ΔSOC disc T To calculate the percentage charge energy E per-char T and percentage discharge energy E per-disc T .

[0086] And, a target percentage energy is obtained according to the percentage charge energy and the percentage discharge energy, and a cell SOC change value is obtained according to the charge SOC change value and the discharge SOC change value.

[0087] In some embodiments, the SOC change value of the monomer within the window time is recorded.

[0088] Get the E of the current window time of the current single cell per-char T i and E per-disc T i , at this time the preferred percentage discharge energy E per-disc T As a percentage of the target energy.

[0089] In the above technical scheme, by selecting multiple time windows for analysis, the performance of the single cell in different time periods can be understood in more detail, thereby improving the refinement of the analysis; combining the charge and discharge energy and SOC change value for calculation can comprehensively consider the energy changes of the single cell during the charge and discharge process, thereby improving the comprehensiveness and accuracy of the calculation results.

[0090] Further, the rated percentage energy E per-disc-rated T and target percentage energy E per-disc T Divide the phase to obtain the discharge energy retention rate E of the single cell within the window time retention-disc-i , and then the discharge energy retention rate E retention-disc-i As the first health level.

[0091] In addition, in other embodiments, the rated charging energy E per-char-rated T As the rated percentage energy, the percentage charge energy E per-char T As the target percentage energy, the charging energy retention rate E is obtained. retention-char-i As the first health level.

[0092] Further, sliding window filtering is performed on the first health level to obtain a second health level.

[0093] It should be noted that, considering the various uncertainties and accumulated tolerances in the actual operation of the project, it is necessary to screen and interpolate the first health level for outliers to ensure the stability of the window time series data.

[0094] Furthermore, obtaining the second health level includes:

[0095] A sliding window is selected based on the first health status of each single battery cell, and a target threshold is selected based on the sliding window.

[0096] Outlier detection is performed based on the first health level and the target threshold to obtain an abnormal sequence set and a non-abnormal sequence set.

[0097] And, filling abnormal values ​​based on the abnormal sequence set and the non-abnormal sequence set to obtain a target sequence set, and obtaining a second health level according to the target sequence set.

[0098] In some embodiments, missing values ​​in the first health sequence are recorded as "outliers".

[0099] Select a sliding window W for each monomer data sequence. The number of original data sequences must be greater than or equal to W. Select the target threshold N according to the window size. threshold, for each data y in the window i Perform outlier detection.

[0100]

[0101]

[0102] in,

[0103]

[0104] The preferred W=50, N threshold =2.33, which means that the number of original data sequences must be greater than or equal to 50.

[0105] When there are A data points (including null values), the number of sliding windows is A-1. The sliding window traverses the time series data and normalizes the data points in each window by Z-score. Zi , if its absolute value y Zi |>N threshold , then record the original data point y i is an "outlier". The set of outlier sequences is denoted as Ω abnormal , the set of non-abnormal sequences is denoted as Ω normal (It should be noted that the processed data sequence here should be aligned with the index of the original sequence to ensure the integrity of the data.)

[0106] Further, obtain the valid data of the neighborhood of each "outlier" and select the neighborhood window W s , then the outlier point y i Neighborhood data N i ={y i -W s ,y i -W s +1,......,y i +W s -1 s ,y i +W s}, if N i There are j y i ∈Ω normal ,but Preferred W s =20. It should be noted that when the abnormal data points are at the two ends of the data, the number of data points in its left or right neighborhood does not satisfy W. s The number of N, at least one of its neighbors needs to meet the condition. For example, when i = 1, N i ={y i +1,y i +W s-1 s ,y i +W s}.

[0107] The last data of the data sequence can be used as the second health of the battery cell in the window time. Preferably, the discharge energy retention rate after the sliding window is filled with abnormal values ​​is used as the second health of the battery cell. The charge energy retention rate after the sliding window is filled with abnormal values ​​is recorded as E retention-char-i 'Or discharge energy retention rate E retention-disc-i '.

[0108] In other embodiments, the efficiency of the cell in the window time can be obtained by dividing the discharge energy retention rate after interpolation filtering by the charge energy retention rate.

[0109] In the above technical solution, outlier detection and filling are performed through sliding windows and target thresholds, which can effectively smooth the data, reduce the noise and abnormal fluctuations in the energy data of single cells, and improve the stability and reliability of the data; by filling in outliers, the data sequence can be made more continuous and consistent, which is convenient for subsequent data processing and analysis, and enhances the consistency and integrity of the data.

[0110] Further, a linear fitting is performed on the second health degree to obtain a decay rate.

[0111] In some embodiments, the second health of the above single cell multiple continuous window time can be fitted by a variety of linear fitting methods, including but not limited to the common least squares method, weighted least squares method, Lasso regression, ridge regression, elastic network, Huber, Theil-Sen, Ouantile, Gaussian process, RANSAC, least median square, linear discriminant analysis algorithm. Preferably, the least squares method is used for linear fitting, which has a transparent and simple calculation process and is easy to deploy and implement.

[0112] Further, a fitting threshold is predetermined, and obtaining the decay rate includes:

[0113] A linear fit is performed on the second health level based on the fitting threshold, and a slope parameter and a determination coefficient are obtained based on the linear fitting result, so that when the slope parameter and the determination coefficient meet a preset fitting standard, the slope parameter is used as the decay rate.

[0114] In some embodiments, the health of the latest M consecutive window times of the single cell is preferably selected for linear fitting, preferably M=200. When the data set to be fitted does not meet this condition, the full set that is not less than the fitting threshold M0 is used to participate in the fitting calculation (here the fitting data must be greater than or equal to the fitting threshold M0, preferably M0=100). The input quantity for fitting needs to include the second health of multiple consecutive window times of the single cell as the dependent variable y, and the natural number of the current window needs to be input as the independent variable x, and the natural number of the last frame is recorded as iL.

[0115] The result of linear fitting is recorded as y i =m i x+b i , at this time, if the slope parameter satisfies m i <0, determination coefficient R i 2 >R0,P i <P0 is a normal state, and it is considered that the result meets expectations (i.e., the preset fitting standard). At this time, m i The decay rate of the energy retention rate of the cell numbered i is recorded as R0=0.85 and P0=1‰.

[0116] In the above technical scheme, through linear fitting and preset fitting standards, the decay rate can be obtained more accurately, thereby improving the accuracy of the calculation results; using the determination coefficient to evaluate the goodness of fit can ensure the reliability and accuracy of the fitting results and avoid using unreliable fitting results; linear fitting can comprehensively consider the trend of the second health degree over time, providing a more comprehensive analysis result, which helps to gain a deeper understanding of the changing law of the second health degree.

[0117] Furthermore, the safe service life is obtained according to the decay rate.

[0118] Furthermore, a safe charging energy retention rate threshold and a time threshold are predetermined, and the step of obtaining the safe service life includes:

[0119] A natural number is obtained based on the second health status, and preset parameters are obtained according to the linear fitting result, so as to calculate the remaining available window time of the single cell according to the preset parameters, the natural number, the decay rate and the safe charging energy retention rate threshold.

[0120] In some embodiments, a safe charging energy retention rate threshold Threshold is selected. E-char and safe discharge energy retention rate threshold Threshold E-disc (Preferably using Threshold E-disc ), the remaining available window time of a certain monomer is calculated according to the following formula:

[0121]

[0122] The remaining safe use days are calculated according to the remaining available window time and the time threshold.

[0123] In some embodiments, a fixed window time (i.e., the time threshold) is preferably used, such as 12 hours or 24 hours, from which the remaining safe use days R can be calculated. available-time-i .

[0124] Taking the window time as h hours as an example, the remaining safe use days of the monomer are:

[0125]

[0126] And, the safe use period is obtained based on the monomer SOC change value and the remaining safe use days.

[0127] In some embodiments, the ΔSOC of the full window is calculated T The mean of the ΔSOC from 1 to the last frame naturally numbered iL T The mean or mode is denoted by

[0128]

[0129] At this time, R available-cycle-i The remaining number of safe cycles (i.e., safe service life) can be simply calculated based on the number of cycles in each window of actual operation to obtain the real-time remaining number of safe cycles.

[0130] In the above technical scheme, the preset parameters and the safe charging energy retention rate threshold are used for calculation, which can scientifically evaluate the remaining available window time and the remaining safe use days of the single battery cell, thereby ensuring the scientificity and accuracy of the evaluation results; by calculating the remaining safe use days and the safe use years, the safe use of the single battery cell can be evaluated in advance, which helps to take measures in advance, avoid potential safety risks, and improve the overall safety of the system.

[0131] In addition, combining the single cell SOC change value and the remaining safe use days for calculation can comprehensively evaluate the performance and safety of the single cell and provide comprehensive data support.

[0132] Embodiment 2:

[0133] See also Figure 2 The present application also provides a system using the method for calculating the performance of a single cell according to the first embodiment, the system is used to calculate the performance of a single cell, the performance of the single cell at least including a second health level, a decay rate and a safe service life; the system comprises:

[0134] The acquisition module is used to acquire the first timing information of the single cell and the second timing information of the battery cluster, and acquire the rated percentage energy based on the experimental cell or the single cell capacity division state.

[0135] The first calculation module is used to calculate the target percentage energy according to the first timing information and the second timing information, so as to obtain a first health degree according to the rated percentage energy and the target percentage energy.

[0136] The filtering module is used to perform sliding window filtering on the first health status to obtain a second health status.

[0137] A fitting module is used to perform linear fitting on the second health degree to obtain a decay rate.

[0138] The second calculation module is used to obtain the safe service life according to the decay rate.

[0139] In the above technical solution, the first calculation module and the filtering module improve the accuracy and consistency of the data by finely analyzing and processing the data, thereby providing high-quality data support for subsequent analysis; the fitting module and the second calculation module can accurately obtain the second health, attenuation rate and safe service life of the single cell through scientific evaluation and calculation, thereby improving the scientificity and accuracy of the evaluation.

[0140] In addition, the system can quickly reflect the current performance status of single cells through real-time acquisition and processing of time series data, improving the ability of real-time monitoring and analysis.

[0141] Embodiment three:

[0142] The present application also provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the single cell performance calculation method described in the first embodiment are implemented.

[0143] In some embodiments, the storage medium stores several computer programs for causing a device to execute all or part of the steps of the method described in various embodiments of the present application.

[0144] The medium may include a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and other media that can store program codes.

[0145] Embodiment 4:

[0146] The present application also provides an electronic device, including a bus, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the memory and the processor are connected via the bus, and when the computer program is executed by the processor, the steps in the single cell performance calculation method described in Example 1 are implemented.

[0147] In some embodiments, the memory and the processor are interconnected via a bus; the processor may be one or more CPUs. When the processor is a CPU, the CPU may be a single-core CPU or a multi-core CPU. The processor is used to control various functional modules of the electronic device and process signals.

[0148] The memory includes but is not limited to RAM (Random Access Memory), ROM (Read-Only Memory), EPROM (Erasable Programmable Read-Only Memory), and CD-ROM (Compact Disc Read-Only Memory). The memory is used to store computer programs, operating systems, various applications and data, such as storing a computer program for implementing the single cell performance calculation method.

[0149] In summary, the present application provides a method, system, storage medium and electronic device for calculating the performance of a single cell; first, the first timing information of the single cell and the second timing information of the battery cluster are obtained; then, the rated percentage energy is obtained based on the experimental cell or the capacity division state of the single cell, and the target percentage energy is calculated according to the first timing information and the second timing information, so as to obtain a first health degree according to the rated percentage energy and the target percentage energy; further, the first health degree is subjected to sliding window filtering to obtain a second health degree; the second health degree is subjected to linear fitting to obtain a decay rate; and, according to the decay rate, the safe service life is obtained. The present application has been optimized in terms of computational efficiency, does not need to rely on a large amount of computing power resources, and is more suitable for the needs of low-cost and fast calculations in large-scale energy storage projects; at the same time, the calculation accuracy is high and it has a wider range of applicability.

[0150] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely exemplary and are not intended to limit the scope of the present application to this. Those of ordinary skill in the art may make various changes and modifications therein without departing from the scope and spirit of the present application. All these changes and modifications are intended to be included within the scope of the present application as required by the appended claims.

[0151] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0152] Although the description of the present application is carried out in conjunction with the above specific embodiments, it is obvious that those skilled in the art can make many substitutions, modifications and changes based on the above content. Therefore, all such substitutions, improvements and changes are included in the spirit and scope of the appended claims.

Claims

1. A method for calculating the performance of a single cell, characterized in that: The single cell performance includes at least a second health level, a decay rate, and a safe service life. The single cell performance calculation method includes the following steps: Acquire first timing information of a single battery cell and second timing information of a battery cluster; Acquire a rated percentage energy based on the experimental battery cell or the single battery cell capacity state, and calculate a target percentage energy based on the first timing information and the second timing information, so as to obtain a first health degree based on the rated percentage energy and the target percentage energy; perform sliding window filtering on the first health degree to obtain a second health degree; Performing a linear fit on the second health degree to obtain a decay rate; And, the safe service life is obtained based on the decay rate.

2. The method for calculating the performance of a single cell according to claim 1, characterized in that: The rated percentage energy obtained based on the experimental battery cell includes: Acquire a first charging energy and a first discharging energy at a set temperature based on the experimental battery cell; Obtaining a rated charging energy and a rated discharging energy according to the first charging energy and the first discharging energy; And, a rated percentage energy is obtained according to the rated charging energy and the rated discharging energy.

3. The method for calculating the performance of a single cell according to claim 1, characterized in that: The step of obtaining the rated percentage energy based on the capacity distribution state of the single cell includes: When the single cell is divided into different capacities, the first charging energy and the first discharging energy of the single cell are recorded based on a plurality of temperature conditions; Obtaining a rated charging energy and a rated discharging energy according to the first charging energy and the first discharging energy; And, a rated percentage energy is obtained according to the rated charging energy and the rated discharging energy.

4. The method for calculating the performance of a single cell according to claim 2 or 3, characterized in that: The calculating target percentage energy comprises: Selecting a plurality of window times based on the first timing information and the second timing information, and acquiring a second charging energy and a second discharging energy of each single cell based on the plurality of window times, and simultaneously acquiring a charging SOC change value and a discharging SOC change value; Obtaining a percentage charging energy according to the second charging energy and the charging SOC change value, and obtaining a percentage discharging energy according to the second discharging energy and the discharging SOC change value; And, a target percentage energy is obtained according to the percentage charge energy and the percentage discharge energy, and a cell SOC change value is obtained according to the charge SOC change value and the discharge SOC change value.

5. The method for calculating the performance of a single cell according to claim 4, characterized in that: The obtaining of the second health degree comprises: selecting a sliding window based on the first health degree of each battery cell, and selecting a target threshold value based on the sliding window; Perform outlier detection based on the first health level and the target threshold to obtain an abnormal sequence set and a non-abnormal sequence set; And, filling abnormal values ​​based on the abnormal sequence set and the non-abnormal sequence set to obtain a target sequence set, and obtaining a second health level according to the target sequence set.

6. The method for calculating the performance of a single cell according to claim 5, characterized in that: A fitting threshold is predetermined, and the obtaining of the decay rate comprises: A linear fit is performed on the second health level based on the fitting threshold, and a slope parameter and a determination coefficient are obtained based on the linear fitting result, so that when the slope parameter and the determination coefficient meet a preset fitting standard, the slope parameter is used as the decay rate.

7. The method for calculating the performance of a single cell according to claim 6, characterized in that: Predetermining a safe charging energy retention rate threshold and a time threshold, and obtaining the safe service life includes: Obtaining a natural number based on the second health level, and obtaining preset parameters according to the linear fitting result, so as to calculate the remaining available window time of the single cell according to the preset parameters, the natural number, the decay rate and the safe charging energy retention rate threshold; and calculating the remaining safe use days according to the remaining available window time and the time threshold; And, the safe use period is obtained based on the monomer SOC change value and the remaining safe use days.

8. A system using the method for calculating the performance of a single cell according to any one of claims 1 to 7, characterized in that: The system is used to calculate the performance of a single cell, wherein the performance of the single cell at least includes a second health level, a decay rate, and a safe service life; the system comprises: An acquisition module, used to acquire first timing information of a single cell and second timing information of a battery cluster, and to acquire rated percentage energy based on a test cell or a single cell capacity state; A first calculation module, configured to calculate a target percentage energy according to the first time series information and the second time series information, so as to obtain a first health degree according to the rated percentage energy and the target percentage energy; A filtering module, configured to perform sliding window filtering on the first health level to obtain a second health level; A fitting module, used for performing a linear fitting on the second health degree to obtain a decay rate; The second calculation module is used to obtain the safe service life according to the decay rate.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method for calculating the performance of a single battery cell as described in any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises a bus, a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the memory and the processor are connected via the bus, and when the computer program is executed by the processor, the steps in the method for calculating the performance of a single cell as described in any one of claims 1 to 7 are implemented.

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