Performance analysis method and related equipment of energy storage system

Abstract

The embodiment of the present application discloses a performance analysis method and related equipment for an energy storage system. The method includes: processing at least one data file of the energy storage system charging and discharging to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data after at least one charging and discharging cycle of the energy storage system, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system; according to the charging and discharging cycle data of at least one energy storage object, determining the starting node and the ending node of the charging and discharging cycle of the energy storage system; according to the starting node and the ending node, processing the target charging and discharging data to obtain the performance analysis result of the energy storage system, which can not only avoid the situation of misreading or missing, but also improve the processing efficiency of the charging and discharging data of the energy storage system, and at the same time, can more accurately analyze the performance of the energy storage system.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a performance analysis method and related equipment for an energy storage system. Background Art

[0002] The operation and maintenance of energy storage systems require a battery management system (BMS). The battery management system is a combination of electronic technology and software. As the brain of the energy storage system, it can ensure that the battery remains balanced and safe, and transmit important information (such as available capacity) to users or connected battery energy storage systems.

[0003] In the related art, in the process of analyzing the performance of energy storage systems, the charging and discharging data of energy storage systems are usually exported from the battery management system in the form of files. However, the data files exported by the battery management system usually contain tens of thousands of lines of data. If they are processed manually, it is not only time-consuming and labor-intensive, but also inefficient, and it is very easy to make mistakes or omissions, resulting in poor accuracy in the performance analysis of the energy storage system. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a performance analysis method and related equipment for an energy storage system, aiming to solve the technical problems of low efficiency and poor accuracy in the performance analysis of the energy storage system in the prior art.

[0005] In order to solve the above technical problems, in a first aspect, an embodiment of the present application provides a performance analysis method of an energy storage system, which includes:

[0006] Processing at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data of the energy storage system after at least one charging and discharging cycle, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system;

[0007] Determine the starting node and the ending node of the charge and discharge cycle of the energy storage system according to the charge and discharge cycle data of at least one of the energy storage objects;

[0008] The target charge and discharge data are processed according to the start node and the end node to obtain a performance analysis result of the energy storage system.

[0009] In a second aspect, an embodiment of the present application further provides a performance analysis device for an energy storage system, which includes:

[0010] a first processing unit, configured to process at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data of the energy storage system after at least one charging and discharging cycle, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster and a battery pack of the energy storage system;

[0011] A determination unit, configured to determine a start node and an end node of a charge and discharge cycle of the energy storage system according to charge and discharge cycle data of at least one of the energy storage objects;

[0012] The second processing unit is used to process the target charging and discharging data according to the starting node and the ending node to obtain a performance analysis result of the energy storage system.

[0013] In a third aspect, an embodiment of the present application further provides an electronic device, comprising a memory storing a plurality of instructions; a processor loads the instructions from the memory to execute the performance analysis method of the energy storage system described in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a plurality of instructions, wherein the instructions are suitable for a processor to load and execute the performance analysis method of the energy storage system described in the first aspect.

[0015] In a fifth aspect, an embodiment of the present application further provides a computer program product, including a computer program or instructions, where the computer program or instructions are executed by a processor to perform the performance analysis method of the energy storage system described in the first aspect.

[0016] In the performance analysis method of the energy storage system provided in the present application, at least one data file of the charging and discharging of the energy storage system is processed to obtain target charging and discharging data, and then the starting node and the ending node of the charging and discharging cycle of the energy storage system are determined by the charging and discharging cycle data of at least one energy storage object in the target charging and discharging data. The starting node and the ending node can be used for positioning, and the target charging and discharging data can be processed to obtain the performance analysis result of the energy storage system, thereby achieving the need for manual charging and discharging data processing, which not only avoids the occurrence of misreading or omission, but also improves the processing efficiency of the charging and discharging data of the energy storage system. At the same time, the starting node and the ending node of the charging and discharging cycle of the energy storage system are directly located by the charging and discharging cycle data of the energy storage object, which has higher accuracy, and thus the performance of the energy storage system can be analyzed more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A schematic diagram of a performance analysis method for an energy storage system provided in an embodiment of the present application;

[0019] Figure 2 A visual operation interface for the performance analysis method of the energy storage system provided in the embodiment of the present application;

[0020] Figure 3 A schematic diagram of a first sub-process of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0021] Figure 4 A schematic diagram of a second sub-process of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0022] Figure 5 A schematic diagram of a third sub-process of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0023] Figure 6 A schematic diagram of a fourth sub-process of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0024] Figure 7 A schematic diagram of a fifth sub-process of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0025] Figure 8 A schematic diagram of a sixth sub-process of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0026] Fig. 9 A schematic diagram of a seventh sub-process of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0027] Fig.10 A schematic diagram of an eighth sub-process of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0028] Fig.11 A schematic block diagram of a performance analysis device for an energy storage system provided in an embodiment of the present application;

[0029] Fig.12 A schematic block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0032] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0033] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0034] See also Figure 1 , Figure 1 A flow chart of a performance analysis method for an energy storage system provided in an embodiment of the present application. The performance analysis method for an energy storage system in an embodiment of the present application is applied to a terminal device, and the method is executed by an application software installed in the terminal device. The terminal device may be a desktop computer, a laptop computer, a tablet computer, a mobile phone, an electric vehicle terminal, etc.

[0035] It should be noted that the performance analysis method of the energy storage system provided in the embodiment of the present application is mainly used for the performance analysis of the energy storage system before it leaves the factory, which can improve the factory quality of the energy storage system. However, the present application is not limited to the performance analysis of the energy storage system before it leaves the factory, and it can also be applied to other application scenarios such as the performance analysis of the energy storage system after it leaves the factory.

[0036] It should also be noted that the application scenarios described in the following embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Ordinary technicians in this field can know that with the emergence of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0037] The performance analysis method of the energy storage system is described in detail below.

[0038] like Figure 1 As shown, the method includes the following steps S110 to S130.

[0039] S110. Process at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data of the energy storage system after at least one charging and discharging cycle, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system.

[0040] In this embodiment, the data file records the charge and discharge data of the energy storage system during the charge and discharge process. The data file can be collected and exported by a battery management system supporting the energy storage system. The target charge and discharge data is the charge and discharge data obtained after processing at least one data file. The target charge and discharge data includes charge and discharge cycle data generated after the energy storage system performs at least one complete charge and discharge cycle. The charge and discharge cycle of the energy storage system means that the energy storage system performs a complete charge and a complete discharge, which means that the energy storage system performs a charge and discharge cycle.

[0041] Specifically, since the energy storage system may span multiple natural days during a charge and discharge cycle, and the energy storage system may export multiple data files from the battery management system after completing one charge and discharge cycle, in order to ensure that the target charge and discharge data contains charge and discharge cycle data after at least one charge and discharge cycle of the energy storage system, multiple data files after the energy storage system is charged and discharged may be processed to obtain the target charge and discharge data.

[0042] At the same time, the energy storage object mentioned in this application refers to the energy storage unit that constitutes the energy storage system, which can be a battery cluster in the energy storage system, a battery pack in the energy storage system, a battery module in the energy storage system, or a battery cell in the energy storage system. In other words, when the present application uses the charge and discharge cycle data of the energy storage object to determine the starting node and the ending node of the charge and discharge cycle of the energy storage system, the charge and discharge cycle data of any one of the battery clusters, battery packs, battery modules, and battery cells can be used to implement it, but there will be differences in their accuracy. For this reason, in order to more accurately determine the starting node and the ending node of the charge and discharge cycle of the energy storage system, the present application gives priority to the charge and discharge cycle data of the battery cell to determine the starting node and the ending node of the charge and discharge cycle of the energy storage system.

[0043] It should be noted that the data file can be either a data file after the energy storage object in the energy storage system is charged and discharged, or a data file after the energy storage system is charged and discharged. In other words, the number and type of data files can be selected according to actual applications, and this application does not make specific limitations.

[0044] In other embodiments of the invention, before step S110, the step is also included: determining a data folder for charging and discharging the energy storage system to obtain at least one of the data files.

[0045] Specifically, the data files collected by the battery management system for charging and discharging the energy storage system are usually placed in corresponding folders. Therefore, before processing at least one data file after charging and discharging the energy storage system, the present application needs to first determine the data folder storing the charging and discharging of the energy storage system, and then obtain the corresponding data file from the determined folder, and then process at least one data file after charging and discharging the energy storage system to obtain the target charging and discharging data.

[0046] In this embodiment, in the process of analyzing the performance of the energy storage system, Figure 2 The visual form shown in the figure is used for human-computer interaction. Figure 2 In the visual operation interface shown, when it is necessary to perform performance analysis on a certain energy storage system, it is necessary to determine in advance the battery management system corresponding to the energy storage system, such as the self-developed battery management system BMS, and then set the data import module to perform folder addressing to locate the folder address where the data file of the energy storage system charge and discharge is located. Then, after determining the data folder of the energy storage system charge and discharge, the corresponding data file can be obtained and processed, so that the target charge and discharge data for analyzing the performance of the energy storage system can be obtained. Among them, the self-developed battery management system BMS can be the battery management system independently developed by Yiwei Lithium Energy.

[0047] In other inventive embodiments, Figure 3 As shown, step S110 includes steps S111 and S112.

[0048] S111, performing file merging processing on the multiple data files to obtain a merged data file;

[0049] S112: performing data screening processing on the merged data file to obtain the target charge and discharge data.

[0050] In this embodiment, the energy storage system completes a charge and discharge cycle across multiple natural days, so the battery management system generates data files of multiple dates, so it is necessary to merge the files to obtain a data file containing a complete charge and discharge cycle of the energy storage system, that is, a merged data file. However, the merged data file may contain data that the energy storage system has not completed a charge and discharge cycle, so it is necessary to perform data screening on the merged data file to obtain the target charge and discharge data.

[0051] For example, Figure 2 As shown, when performing visualization operations, the present application can set a merge data module and a filter data module, wherein the merge data module can merge data files of the same attribute, so that the merged data file contains the charge and discharge cycle data of all energy storage objects in the energy storage system; the filter data module can read the data in the merged data file and filter out valuable data columns, i.e., target charge and discharge data. The target charge and discharge data can be stored in a file of a specific format, such as an Excel file.

[0052] It should be noted that the target charge and discharge data can be stored in multiple files or in one file. When stored in multiple files, each file can be used to store the charge and discharge cycle data of an energy storage object. In other words, the storage method and storage type of the target charge and discharge data can be selected according to the actual application, and this application does not make specific limitations.

[0053] It should also be noted that in the process of data screening of the merged data file, it is also necessary to delete the jump data generated during the charging and discharging process of the energy storage system. The jump data may be data that suddenly fluctuates greatly in a short period of time, or data with a value of 0, or data with a negative value, etc.

[0054] In other embodiments of the invention, after the merged data file is subjected to data screening processing, the method further includes the step of classifying the screened data and saving the data into at least one target charge and discharge cycle data file.

[0055] In this embodiment, the target charge and discharge data is stored in at least one target charge and discharge cycle data file, and each target charge and discharge cycle data file can store the charge and discharge data of energy storage objects with the same attributes, wherein the attributes can refer to temperature, voltage, capacity, state of charge, current, life of energy storage objects, etc. In other words, one target charge and discharge cycle data file includes any one of voltage data, temperature data, capacity data, state of charge data, current data, life of energy storage objects, etc. of at least one energy storage object in the energy storage system.

[0056] It should be noted that the naming and format of the target charge and discharge cycle data file can be pre-set before the charge and discharge data of the energy storage system is generated, or can be pre-set after the filtered data is classified. The setting method can be selected according to the actual application, and this application does not make specific limitations.

[0057] S120. Determine a start node and an end node of a charge and discharge cycle of the energy storage system according to charge and discharge cycle data of at least one of the energy storage objects.

[0058] Specifically, in the process of using the charge and discharge cycle data of the energy storage object to determine the starting node and the ending node of the charge and discharge cycle of the energy storage system, the starting node and the ending node can be determined by the voltage, current, capacity, state of charge (SOC, State of Charge) and the like in the charge and discharge cycle data of the energy storage object. The specific determination method can be carried out according to the charge and discharge strategy of the energy storage system, and this application does not make any specific limitation here.

[0059] At the same time, the present application can also use the charge and discharge cycle data of one energy storage object for determination, or can use the charge and discharge cycle data of multiple energy storage objects for determination. For example, when the voltage in the charge and discharge cycle data of one energy storage object is used to determine the starting node and the ending node, the starting node and the ending node can be determined by the highest voltage of the monomer in the charge and discharge cycle data of the energy storage object; when the charge and discharge cycle data of multiple energy storage objects are used to determine the starting node and the ending node, the highest voltage of the monomer in the charge and discharge cycle data of each energy storage object can be obtained, and then the highest voltage of each monomer can be processed to obtain the highest voltage of a target monomer, and finally the starting node and the ending node can be determined by the highest voltage of the target monomer. Among them, the highest voltage of the target monomer can be the average of the highest voltages of multiple monomers.

[0060] In other inventive embodiments, Figure 4 As shown, step S120 includes steps S121 and S122.

[0061] S121, determining a charging end node of the charging and discharging cycle of the energy storage system according to the charging and discharging cycle data of at least one of the energy storage objects;

[0062] S122: Determine a charging start node, a discharging end node, and a discharging start node of the charging and discharging cycle of the energy storage system from the charging and discharging cycle data of the energy storage object corresponding to the charging end node.

[0063] In this embodiment, the starting node includes a charging starting node and a discharging starting node, and the ending node includes a charging ending node and a discharging ending node. At the same time, the charging strategy of the energy storage system provided by the present application is to stop charging after the voltage of the energy storage object in the energy storage system reaches the maximum value. In order to more accurately obtain the electrical starting node, discharging starting node, charging ending node and discharging ending node of the energy storage system's charging and discharging cycle, after obtaining the target charging and discharging data, the present application can first determine the charging ending node of the energy storage system's charging and discharging cycle from the highest voltage of the monomer in the charging and discharging cycle data of at least one of the energy storage objects in the target charging and discharging data, and then based on this, respectively determine the charging starting node, discharging ending node and discharging starting node of the energy storage system's charging and discharging cycle from the charging and discharging cycle data of the corresponding energy storage object.

[0064] It can be understood that the present application can also predetermine the charging start node, the discharging end node and any one of the discharging start nodes, and then determine the other nodes. The method of predetermining one of the nodes can be selected according to the charging and discharging cycle strategy of the energy storage system. For this reason, the order in which the charging end node, the charging start node, the discharging end node and the discharging start node of the energy storage system's charging and discharging cycle are determined can be selected according to actual applications, and the present application does not make specific limitations.

[0065] In other inventive embodiments, Figure 5 As shown, step S121 includes steps S1211 and S1212.

[0066] S1211, acquiring the highest voltage of at least one monomer from the charge and discharge cycle data of at least one of the energy storage objects;

[0067] S1212: Determine a charging end node of a charge and discharge cycle of the energy storage system according to a maximum voltage of at least one of the cells.

[0068] Specifically, the highest voltage of the energy storage object is the highest voltage of the energy storage system during a charge and discharge cycle. After obtaining the highest voltage of at least one monomer from the charge and discharge cycle data of at least one energy storage object, it is possible to determine that the energy storage system has completed charging at this time based on the voltage of at least one monomer, and then the node can be used as the charging end node of the charge and discharge cycle of the energy storage system. Among them, the highest voltage of the monomer can be no less than 3.65V. It should be noted that the monomer mentioned in this application refers to the battery cell, that is, 3.65V can be the highest voltage of the battery cell.

[0069] It can be understood that the present application can obtain the maximum voltage of a single cell from the charge and discharge cycle data of an energy storage object, and then directly use the node of the maximum voltage of the single cell as the charging end node of the charge and discharge cycle of the energy storage system; at the same time, the present application can also obtain the maximum voltages of multiple single cells from the charge and discharge cycle data of an energy storage object. At this time, the maximum voltages of multiple single cells need to be separated by at least one charge and discharge cycle, and then the maximum voltage of one of the single cells can be used as the charging end node. It should be noted that when the maximum voltage of one of the single cells is used as the charging end node, it should be noted that the maximum voltage of the single cell must have a complete charge and discharge cycle data.

[0070] In addition, the present application can also obtain the highest voltage of an energy storage object from the charge and discharge cycle data of multiple energy storage objects respectively, and then the highest voltage of the energy storage object with the highest voltage value can be used as the charging end node of the charge and discharge cycle of the energy storage system, or the highest voltage of the energy storage object with the lowest voltage value can be used as the charging end node of the charge and discharge cycle of the energy storage system. At the same time, the average voltage of the highest voltages of multiple energy storage objects can also be used to determine the charging end node of the charge and discharge cycle of the energy storage system. The specific determination method can be selected according to the actual application, and this application does not make any specific limitation.

[0071] It can also be understood that when the present application determines the charging end node of the charge and discharge cycle of the energy storage system by the maximum voltage of the single cell, the maximum voltage of a single cell in each energy storage object can be obtained from the charge and discharge cycle data of multiple energy storage objects, and then a maximum target voltage is generated based on the multiple maximum voltages. The maximum target voltage can be the average voltage of the multiple maximum voltages, and then the charging end node of the charge and discharge cycle of the energy storage system is determined based on the node corresponding to this target voltage.

[0072] That is to say, the present application can use the highest voltage of at least one cell to determine the charging end node of the charging and discharging cycle of the energy storage system, or can use the highest voltage of at least one energy storage system to determine the charging end node of the charging and discharging cycle of the energy storage system. The specific application method can be selected according to the actual application, and the present application does not make specific limitations.

[0073] In other inventive embodiments, Figure 6 As shown, step S122 includes steps S1221, S1222 and S1223.

[0074] S1221, determining the charging start node and the discharging end node from the charging and discharging cycle data of the energy storage object corresponding to the charging end node;

[0075] S1222, acquiring intermediate data between the charging end node and the discharging end node from the charging and discharging cycle data of the energy storage object corresponding to the charging end node;

[0076] S1223. Determine the discharge start node according to the intermediate data.

[0077] In this embodiment, after determining the charging end node of the energy storage system, the charging end node can be used as the endpoint, and in the charging and discharging cycle data of the corresponding energy storage object, the tail row of data when the "stack dischargeable capacity" in the charging and discharging data is the minimum value can be grabbed forward. At this time, it can be indicated that the energy storage system is about to start the charging step, so that the charging start node of the energy storage system can be determined.

[0078] At the same time, this application can also use the charging end node as the endpoint, and in the charging and discharging cycle data of the corresponding energy storage object, grab the node where the "lowest voltage of the single cell" in the charging and discharging data has the minimum value. If there is a battery management system that determines that the lowest voltage of the single cell is not greater than the preset voltage, such as 2.8V, and the battery management system also issues a discharge stop instruction, then this node can be used as the discharge end node of the energy storage system. Similarly, 2.8V refers to the lowest voltage of the battery cell, and the lowest voltage of the battery cell can also be greater than 2.8V. The specific setting method can be selected according to the actual application, and this application does not make specific restrictions.

[0079] After determining the discharge end node of the energy storage system, the charging end node and the discharging end node of the energy storage system can be used as a reference to capture the data between the two nodes, that is, the intermediate data, from the charge and discharge cycle data of the corresponding energy storage object. Then, the data when the "stack chargeable capacity" is the minimum value can be captured from the intermediate data. At this time, it can be indicated that the energy storage system is about to start the discharge step, so the node corresponding to the data is the discharge start node of the energy storage system.

[0080] It should be noted that the terms such as the maximum voltage of a single cell, the minimum voltage of a single cell, the dischargeable capacity of the stack, and the chargeable capacity of the stack mentioned in this application may refer to the naming method of the charge and discharge cycle data of the single cell in the data file where it is located. In other words, the naming method of the voltage, current, capacitance, etc. mentioned in this application in the data file can be selected according to actual application, and this application does not make any specific limitation.

[0081] S130: Process the target charge and discharge data according to the start node and the end node to obtain a performance analysis result of the energy storage system.

[0082] Specifically, after determining the starting node and the ending node of the charge and discharge cycle of the energy storage system, the data between the nodes in the target charge and discharge data can be completely extracted and analyzed, and then the performance of the energy storage system can be accurately analyzed.

[0083] It should be noted that the data between nodes in the target charge and discharge data may be the data after a charge and discharge cycle of one energy storage object in the energy storage system, or the data after a charge and discharge cycle of multiple energy storage objects in the energy storage system, or the data after a charge and discharge cycle of all energy storage objects in the energy storage system. The data may be selected according to the actual application, and this application does not make any specific limitation.

[0084] For example, Figure 2 As shown, when performing visual operations, the present application can set a data analysis button in the interface, and the button can correspond to a data analysis module. The data analysis module can filter the data file, analyze the complete charge and discharge cycle nodes, the charge and discharge start and end nodes, calculate the system charge and discharge temperature rise and energy efficiency, and finally output the analysis result file. The analysis result file can be selected by selecting the file in the interface.

[0085] In other inventive embodiments, Figure 7 As shown, step S130 includes steps S131 and S132.

[0086] S131, acquiring target charge and discharge cycle data between the start node and the end node from the target charge and discharge data;

[0087] S132: Analyze the performance of the energy storage system according to the target charge and discharge cycle data to obtain a performance analysis result of the energy storage system.

[0088] In this embodiment, the starting node includes a charging starting node and a discharging starting node, and the ending node includes a charging ending node and a discharging ending node. Specifically, after determining the charging starting node, the discharging starting node, the charging ending node, and the discharging ending node, the data between the charging starting node and the charging ending node, and the data between the discharging starting node and the discharging ending node can be captured from the target charging and discharging data and used as the target charging and discharging cycle data, and then the performance of the energy storage system can be accurately analyzed based on this. Among them, the performance analysis results of the energy storage system can include charging and discharging temperature rise and charging and discharging energy efficiency, and the charging and discharging temperature rise can include charging temperature rise and discharging temperature rise.

[0089] It can be understood that the target charge and discharge cycle data can be the data after the charge and discharge cycle of one energy storage object in the energy storage system, or the data after the charge and discharge cycles of multiple energy storage objects in the energy storage system, or the data after the charge and discharge cycles of all energy storage objects in the energy storage system. It can be selected according to the actual application, and this application does not make specific limitations.

[0090] In other inventive embodiments, Figure 8 As shown, step S132 includes steps S1301 and S1302.

[0091] S1301, acquiring the lowest temperature of the starting node and the highest temperature of the ending node from the target charge and discharge cycle data;

[0092] S1302: Generate a charging and discharging temperature rise of the energy storage system according to the maximum temperature and the minimum temperature.

[0093] In this embodiment, the lowest temperature of the starting node refers to the temperature of the lowest temperature monomer among all monomers at the starting node, and the highest temperature of the ending node refers to the temperature of the highest temperature monomer among all monomers at the ending node. The present application can obtain the temperature value of the lowest temperature monomer at the charging starting node, the temperature value of the highest temperature monomer at the charging ending node, the temperature value of the lowest temperature monomer at the discharging starting node, and the temperature value of the highest temperature monomer at the discharging ending node from the target charging and discharging cycle data, which can be the first monomer temperature, the second monomer temperature, the third monomer temperature, and the fourth monomer temperature, respectively. Then, the charging temperature rise of the energy storage system can be generated according to the first monomer temperature and the second monomer temperature, and the discharging temperature rise of the energy storage system can be generated according to the third monomer and the fourth monomer. Among them, the temperature rise refers to the temperature at which the energy storage system rises during the charging and discharging process.

[0094] It should be noted that the lowest temperature of the starting node can also be characterized by the average temperature of some or all monomers at the starting node, and the highest temperature of the ending node can also be characterized by the average temperature of some or all monomers at the ending node. In other words, the lowest temperature of the starting node and the highest temperature of the ending node can be selected according to practical applications, and this application does not make specific limitations.

[0095] In addition, after obtaining the charging temperature rise and discharging temperature rise of the energy storage system, the preset temperature rise threshold can be used to determine whether the performance of the energy storage system meets the standard. Figure 2 The result judgment button is displayed in the

[0096] In other inventive embodiments, Fig. 9As shown, step S132 includes steps S1321 and S1322.

[0097] S1321, acquiring a first charge and discharge amount of the start node and a second charge and discharge amount of the end node from the target charge and discharge cycle data;

[0098] S1322. Generate a charge and discharge energy efficiency of the energy storage system according to the first charge and discharge amount and the second charge and discharge amount.

[0099] In this embodiment, the first charge and discharge amount includes a first charge amount and a first discharge amount, and the second charge and discharge amount includes a second charge amount and a second discharge amount. The first charge amount refers to the cumulative charge amount of the energy storage system when the energy storage system just starts to charge; the second charge amount refers to the cumulative charge amount of the energy storage system after the energy storage system finishes charging; the first discharge amount refers to the cumulative discharge amount of the energy storage system when the energy storage system just starts to discharge; the second discharge amount refers to the cumulative discharge amount of the energy storage system after the energy storage system finishes discharging.

[0100] Specifically, after obtaining the first charge amount, the second charge amount, the first discharge amount, and the second discharge amount, the amount of electricity charged into the energy storage system during the charging stage and the amount of electricity released during the discharge stage can be calculated, and then the two calculated amounts are divided to obtain the charge and discharge energy efficiency of the energy storage system, wherein the charge and discharge energy efficiency refers to the efficiency of the electricity that can be released after the energy storage system is charged.

[0101] In other inventive embodiments, Fig.10 As shown, step S132 also includes steps S132a and S132b.

[0102] S132a, acquiring a first chargeable and dischargeable capacity of the start node and a second chargeable and dischargeable capacity of the end node from the target charge and discharge cycle data;

[0103] S132b: Generate the charge and discharge capacity of the energy storage system according to the first charge and discharge capacity and the second charge and discharge capacity.

[0104] In this embodiment, the performance analysis result also includes the charge and discharge capacity, which includes the charge capacity and the discharge capacity. The charge capacity refers to the capacity that can be charged in the charge phase of a charge and discharge cycle of the energy storage system, and the discharge capacity refers to the capacity that can be released in the discharge phase of a charge and discharge cycle of the energy storage system. At the same time, the first chargeable and dischargeable capacity includes the first chargeable capacity and the first dischargeable capacity, and the second chargeable and dischargeable capacity includes the second chargeable capacity and the second dischargeable capacity. The first chargeable capacity refers to the capacity that can be charged in the charge start node of the energy storage system in a charge and discharge cycle, the first dischargeable capacity refers to the capacity that can be released in the discharge start node of the energy storage system in a charge and discharge cycle, the second chargeable capacity refers to the capacity that can be charged in the charge end node of the energy storage system in a charge and discharge cycle, and the second dischargeable capacity refers to the capacity that can be released in the discharge end node of the energy storage system in a charge and discharge cycle.

[0105] Specifically, after obtaining the first chargeable and dischargeable capacity and the second chargeable and dischargeable capacity from the target charge and discharge cycle data, the first chargeable capacity in the first chargeable and dischargeable capacity and the second chargeable capacity in the second chargeable and dischargeable capacity can be subtracted from each other, and at the same time, the first dischargeable capacity in the first chargeable and dischargeable capacity and the second dischargeable capacity in the second chargeable and dischargeable capacity can be subtracted from each other, thereby respectively obtaining the charge capacity in the charge phase and the discharge capacity in the discharge phase of the energy storage system in a charge and discharge cycle, so that the performance of the energy storage system can be measured based on this.

[0106] In other embodiments of the invention, the performance analysis method of the energy storage system also includes the step of: generating at least one of a state of charge curve diagram of the energy storage system, a state of charge curve diagram of the energy storage object, a charge and discharge voltage curve diagram of the energy storage object, and a charge and discharge temperature curve diagram of the energy storage object based on the target charge and discharge data.

[0107] Specifically, after obtaining the target charge and discharge data of the energy storage system, the present application can generate at least one of the state of charge curve of the energy storage system, the state of charge curve of the energy storage object, the charge and discharge voltage curve of the energy storage object, and the charge and discharge temperature curve of the energy storage object based on the data, and display them visually. Figure 2 As shown, the application can set a data visualization module, which corresponds to Figure 2 When it is necessary to visualize any one of the state of charge curve of the energy storage system, the state of charge curve of the energy storage object, the charge and discharge voltage curve of the energy storage object, and the charge and discharge temperature curve of the energy storage object, just select the corresponding button, and then use the Draw Curve Graph button to generate the corresponding visualized curve graph, which can facilitate manual review.

[0108] In addition, when generating the corresponding curve graph, the present application can also mark a certain point in the curve graph, such as marking the highest voltage of the energy storage object at the charging end node to the lowest voltage of the energy storage object with a serial number and a numerical value, so as to quickly locate the number and position of the abnormal energy storage object in the energy storage system.

[0109] In the performance analysis method of the energy storage system provided in the embodiment of the present application, target charge and discharge data are obtained by processing at least one data file of the charge and discharge of the energy storage system; wherein the target charge and discharge data include charge and discharge cycle data of the energy storage system after at least one charge and discharge cycle, and the charge and discharge cycle data include charge and discharge cycle data of at least one energy storage object, and the energy storage object includes any one of the battery cluster, battery pack, battery module, and battery cell of the energy storage system; according to the charge and discharge cycle data of at least one energy storage object, the starting node and the ending node of the charge and discharge cycle of the energy storage system are determined; according to the starting node and the ending node, the target charge and discharge data are processed to obtain the performance analysis result of the energy storage system. The present application realizes that there is no need to use manual methods to process charge and discharge data, which not only avoids the situation of misreading or missing, but also improves the processing efficiency of the charge and discharge data of the energy storage system. At the same time, the charge and discharge cycle data of the energy storage object is directly used to locate the starting node and the ending node of the charge and discharge cycle of the energy storage system, which has higher accuracy, and thus the performance of the energy storage system can be analyzed more accurately.

[0110] The embodiment of the present application further provides a performance analysis device 200 for an energy storage system, which is used to execute any embodiment of the performance analysis method for the energy storage system described above.

[0111] Specifically, see Fig.11 , Fig.11 It is a schematic block diagram of a performance analysis device 200 for an energy storage system provided in an embodiment of the present application.

[0112] like Fig.11 As shown, the performance analysis device 200 of the energy storage system includes: a first processing unit 210 , a determination unit 220 and a second processing unit 230 .

[0113] The first processing unit 210 is used to process at least one data file after the energy storage system is charged and discharged to obtain target charge and discharge data; wherein the target charge and discharge data includes charge and discharge cycle data after at least one charge and discharge cycle of the energy storage system, and the charge and discharge cycle data includes charge and discharge cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system.

[0114] In other embodiments of the invention, the performance analysis device 200 of the energy storage system is further used to: determine a data folder for charging and discharging the energy storage system to obtain at least one of the data files.

[0115] In other inventive embodiments, the first processing unit 210 is specifically used to: perform file merging processing on the multiple data files to obtain a merged data file; and perform data screening processing on the merged data file to obtain the target charge and discharge data.

[0116] The determination unit 220 is used to determine the starting node and the ending node of the charge and discharge cycle of the energy storage system according to the charge and discharge cycle data of at least one of the energy storage objects.

[0117] In other embodiments of the invention, the determination unit 220 is specifically used to: determine the charging end node of the charging and discharging cycle of the energy storage system based on the charging and discharging cycle data of at least one of the energy storage objects; and determine the charging start node, the discharging end node and the discharging start node of the charging and discharging cycle of the energy storage system from the charging and discharging cycle data of the energy storage object corresponding to the charging end node.

[0118] In other embodiments of the invention, the determination unit 220 is specifically used to: obtain the maximum voltage of at least one monomer from the charge and discharge cycle data of at least one of the energy storage objects; and determine the charging end node of the charge and discharge cycle of the energy storage system based on the maximum voltage of at least one of the monomers.

[0119] In other embodiments of the invention, the determination unit 220 is specifically used to: determine the charging start node and the discharging end node from the charging and discharging cycle data of the energy storage object corresponding to the charging end node; obtain the intermediate data between the charging end node and the discharging end node from the charging and discharging cycle data of the energy storage object corresponding to the charging end node; and determine the discharging start node based on the intermediate data.

[0120] The second processing unit 230 is used to process the target charge and discharge data according to the start node and the end node to obtain a performance analysis result of the energy storage system.

[0121] In other embodiments of the invention, the second processing unit 230 is specifically used to: obtain target charge and discharge cycle data between the starting node and the ending node from the target charge and discharge data; analyze the performance of the energy storage system according to the target charge and discharge cycle data to obtain a performance analysis result of the energy storage system.

[0122] In other embodiments of the invention, the second processing unit 230 is specifically used to: obtain the lowest temperature of the starting node and the highest temperature of the ending node from the target charge and discharge cycle data; and generate the charge and discharge temperature rise of the energy storage system according to the highest temperature and the lowest temperature.

[0123] In other embodiments of the invention, the second processing unit 230 is specifically used to: obtain the first charge and discharge amount of the starting node and the second charge and discharge amount of the ending node from the target charge and discharge cycle data; and generate the charge and discharge energy efficiency of the energy storage system based on the first charge and discharge amount and the second charge and discharge amount.

[0124] In other embodiments of the invention, the second processing unit 230 is specifically used to: obtain the first chargeable and dischargeable capacity of the starting node and the second chargeable and dischargeable capacity of the ending node from the target charge and discharge cycle data; and generate the charge and discharge capacity of the energy storage system according to the first chargeable and dischargeable capacity and the second chargeable and dischargeable capacity.

[0125] In other embodiments of the invention, the performance analysis device 200 of the energy storage system is also used to generate at least one of a state of charge curve diagram of the energy storage system, a state of charge curve diagram of the energy storage object, a charge and discharge voltage curve diagram of the energy storage object, and a charge and discharge temperature curve diagram of the energy storage object according to the target charge and discharge data.

[0126] The performance analysis device 200 of the energy storage system provided in the embodiment of the present application is used to execute the above-mentioned processing of at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging data of the energy storage system after at least one charging and discharging cycle, and the charging and discharging data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system; according to the charging and discharging cycle data of at least one of the energy storage objects, the starting node and the ending node of the charging and discharging cycle of the energy storage system are determined; according to the starting node and the ending node, the target charging and discharging data are processed to obtain the performance analysis result of the energy storage system.

[0127] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the performance analysis device 200 and each unit of the above-mentioned energy storage system can refer to the corresponding description in the aforementioned method embodiment, and for the convenience and brevity of description, it will not be repeated here.

[0128] The above-mentioned energy storage system performance analysis device 200 can be implemented in the form of a computer program. The computer program can be used in Fig.12 The electronic device shown is running.

[0129] See also Fig.12 , Fig.12 300 is a schematic block diagram of an electronic device provided in an embodiment of the present application. The electronic device 300 may be a terminal, wherein the terminal may be a cloud, a vehicle-mounted terminal device, a smart phone, a tablet computer, a laptop computer, a desktop computer, a personal digital assistant, a wearable device, etc.

[0130] See also Fig.12 The electronic device 300 includes a processor 302 , a memory and a network interface 305 connected via a system bus 301 , wherein the memory may include a non-volatile storage medium 303 and an internal memory 304 .

[0131] The non-volatile storage medium 303 can store an operating system 3031 and a computer program 3032. The computer program 3032 includes program instructions, and when the program instructions are executed, the processor 302 can execute a performance analysis method for an energy storage system.

[0132] The processor 302 is used to provide computing and control capabilities to support the operation of the entire electronic device 300 .

[0133] The internal memory 304 provides an environment for the operation of the computer program 3032 in the non-volatile storage medium 303. When the computer program 3032 is executed by the processor 302, the processor 302 can execute a performance analysis method for an energy storage system.

[0134] The network interface 305 is used to communicate with other devices over the network. Fig.12 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device 300 to which the scheme of the present application is applied. The specific electronic device 300 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0135] The processor 302 is used to run a computer program 3032 stored in a memory to implement the following steps: processing at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data of the energy storage system after at least one charging and discharging cycle, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system; determining a start node and an end node of a charging and discharging cycle of the energy storage system according to the charging and discharging cycle data of at least one of the energy storage objects; and processing the target charging and discharging data according to the starting node and the ending node to obtain a performance analysis result of the energy storage system.

[0136] It should be understood that in the embodiment of the present application, the processor 302 may be a central processing unit (CPU), and the processor 302 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0137] According to one aspect of the present application, a computer program product or computer program is also provided, the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device implements the following steps: processing at least one data file of the energy storage system charging and discharging to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data after at least one charging and discharging cycle of the energy storage system, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of the battery cluster, battery pack, battery module, and battery cell of the energy storage system; according to the charging and discharging cycle data of at least one of the energy storage objects, determining the starting node and the ending node of the charging and discharging cycle of the energy storage system; according to the starting node and the ending node, processing the target charging and discharging data to obtain the performance analysis result of the energy storage system.

[0138] It can be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0139] Therefore, the present application also provides a storage medium. The storage medium can be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by the processor, the processor executes the following steps: processing at least one data file of the charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data after at least one charging and discharging cycle of the energy storage system, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of the battery cluster, battery pack, battery module, and battery cell of the energy storage system; according to the charging and discharging cycle data of at least one of the energy storage objects, determining the starting node and the ending node of the charging and discharging cycle of the energy storage system; according to the starting node and the ending node, processing the target charging and discharging data to obtain the performance analysis result of the energy storage system.

[0140] The storage medium may be any computer-readable storage medium that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0141] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0142] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0143] The steps in the method of the embodiment of the present application can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present application can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0144] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for an electronic device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0145] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A performance analysis method for an energy storage system, characterized in that: include: Processing at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging cycle data of the energy storage system after at least one charging and discharging cycle, and the charging and discharging cycle data includes charging and discharging cycle data of at least one energy storage object, and the energy storage object includes any one of a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system; Determine the starting node and the ending node of the charging and discharging cycle of the energy storage system according to the charging and discharging cycle data of at least one of the energy storage objects; wherein the starting node includes a charging starting node and a discharging starting node, and the ending node includes a charging ending node and a discharging ending node; the charging starting node, the discharging starting node, the charging ending node and the discharging ending node are determined by the charging and discharging cycle data of at least two of the energy storage objects; Processing the target charge and discharge data according to the starting node and the ending node to obtain a performance analysis result of the energy storage system; Wherein, determining the starting node and the ending node of the charge and discharge cycle of the energy storage system according to the charge and discharge cycle data of at least one of the energy storage objects includes: Determining a charging end node of the charging and discharging cycle of the energy storage system according to the charging and discharging cycle data of at least one of the energy storage objects; Determine the charging start node, the discharging end node and the discharging start node of the charging and discharging cycle of the energy storage system from the charging and discharging cycle data of the energy storage object corresponding to the charging end node; The step of determining the charging start node, the discharging end node and the discharging start node of the charging and discharging cycle of the energy storage system from the charging and discharging cycle data of the energy storage object corresponding to the charging end node comprises: Determine the charging start node and the discharging end node from the charging and discharging cycle data of the energy storage object corresponding to the charging end node; wherein the charging start node is determined by the minimum dischargeable amount, and the discharging end node is determined by the lowest voltage of the single cell; Acquire intermediate data between the charging end node and the discharging end node from the charging and discharging cycle data of the energy storage object corresponding to the charging end node; Determining the discharge start node according to the minimum chargeable amount in the intermediate data; Wherein, determining the charging end node of the charging and discharging cycle of the energy storage system according to the charging and discharging cycle data of at least one of the energy storage objects includes: Obtaining the highest voltage of at least one cell from the charge and discharge cycle data of at least two of the energy storage objects; A charging end node of a charge and discharge cycle of the energy storage system is determined according to a maximum voltage of at least one of the monomers.

2. The performance analysis method of the energy storage system according to claim 1, characterized in that: The processing of the target charge and discharge data according to the starting node and the ending node to obtain the performance analysis result of the energy storage system includes: From the target charge and discharge data, obtain target charge and discharge cycle data between the start node and the end node; The performance of the energy storage system is analyzed according to the target charge and discharge cycle data to obtain a performance analysis result of the energy storage system.

3. The performance analysis method of the energy storage system according to claim 2, characterized in that: The performance analysis results include charge and discharge temperature rise; The step of analyzing the performance of the energy storage system according to the target charge-discharge cycle data to obtain the performance analysis result of the energy storage system includes: Acquire the lowest temperature of the starting node and the highest temperature of the ending node from the target charge-discharge cycle data; The charging and discharging temperature rise of the energy storage system is generated according to the maximum temperature and the minimum temperature.

4. The performance analysis method of the energy storage system according to claim 2, characterized in that: The performance analysis results also include charge and discharge energy efficiency; The step of analyzing the performance of the energy storage system according to the target charge-discharge cycle data to obtain the performance analysis result of the energy storage system includes: Acquire a first charge and discharge amount of the start node and a second charge and discharge amount of the end node from the target charge and discharge cycle data; The charge and discharge energy efficiency of the energy storage system is generated according to the first charge and discharge amount and the second charge and discharge amount.

5. The performance analysis method of the energy storage system according to claim 2, characterized in that: The performance analysis results also include charge and discharge capacity; The step of analyzing the performance of the energy storage system according to the target charge-discharge cycle data to obtain the performance analysis result of the energy storage system includes: Acquire a first chargeable and dischargeable capacity of the start node and a second chargeable and dischargeable capacity of the end node from the target charge and discharge cycle data; The charge and discharge capacity of the energy storage system is generated according to the first charge and discharge capacity and the second charge and discharge capacity.

6. The performance analysis method of the energy storage system according to claim 1, characterized in that: The method further comprises: At least one of a state of charge curve diagram of the energy storage system, a state of charge curve diagram of the energy storage object, a charge and discharge voltage curve diagram of the energy storage object, and a charge and discharge temperature curve diagram of the energy storage object is generated according to the target charge and discharge data.

7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the performance analysis method of the energy storage system described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the performance analysis method of the energy storage system according to any one of claims 1 to 6 are implemented.

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