Performance analysis method for energy storage system, and related device

Abstract

The present application discloses a performance analysis method for an energy storage system, and a related device. The method comprises: processing at least one charge-discharge data file of an energy storage system, so as to obtain target charge-discharge data; and, on the basis of charge-discharge cycle data of an energy storage object in the target charge-discharge data, determining a starting node and an ending node of a charge-discharge cycle of the energy storage system, thereby accurately analyzing the performance of the energy storage system, preventing misreads or omissions, and improving the efficiency of charge-discharge data processing.

Description

Performance analysis methods and related equipment for energy storage systems

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on March 30, 2024, with application number 202410381779.X. The entire contents of the above application are incorporated by reference into this application. Technical Field

[0002] 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

[0003] The operation and maintenance of energy storage systems require a battery management system (BMS). A combination of electronic technology and software, the BMS serves as the brain of the energy storage system, ensuring battery balance and safety, and transmitting important information (such as available capacity) to users or connected battery energy storage systems. In related technologies, energy storage system charge and discharge data is typically exported from the BMS in the form of files, which are then analyzed to determine the performance of the energy storage system. SUMMARY OF THE INVENTION

[0004] However, the files exported by the battery management system usually contain tens of thousands of lines of data. Manual processing is not only time-consuming and labor-intensive, but also inefficient. It is also very easy to make mistakes or omissions, resulting in poor accuracy in the performance analysis of the energy storage system.

[0005] In a first aspect, the present application provides a performance analysis method for 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] Determining a start node and an end node of a charge and discharge cycle of the energy storage system based on charge and discharge cycle data of at least one energy storage object;

[0008] According to the starting node and the ending node, the target charge and discharge data are processed to obtain the performance analysis results of the energy storage system.

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

[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 based on charge and discharge cycle data of at least one energy storage object;

[0012] The second processing unit is used to process 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.

[0013] In a third aspect, the present application further provides an electronic device, comprising a memory storing a plurality of instructions; a processor loading instructions from the memory to execute the following steps: processing at least one data file of charging and discharging of an energy storage system to obtain target charging and discharging data; wherein the target charging and discharging data includes charging and discharging data after at least one charging and discharging cycle of the energy storage system, 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; determining a starting node and an ending node of a charging and discharging cycle of the energy storage system based on the charging and discharging cycle data of at least one energy storage object; and processing the target charging and discharging data based on the starting node and the ending node to obtain a performance analysis result of the energy storage system.

[0014] In a fourth aspect, the present application further provides a computer-readable storage medium, which stores a plurality of instructions, and the instructions are suitable for a processor to load to perform the following steps: processing at least one data file of charging and discharging of an 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; determining the starting node and the ending node of the charging and discharging cycle of the energy storage system based on the charging and discharging cycle data of at least one energy storage object; and processing the target charging and discharging data based on the starting node and the ending node to obtain a performance analysis result of the energy storage system.

[0015] In a fifth aspect, the present application also provides a computer program product, including a computer program or instructions, which are executed by a processor to perform the following steps: processing at least one data file of charging and discharging of an 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; based on 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; and processing the target charging and discharging data based on the starting node and the ending node to obtain a performance analysis result of the energy storage system. Beneficial effects

[0016] In the performance analysis method of the energy storage system provided in the present application, at least one data file of the energy storage system's charging and discharging is processed to obtain target charging and discharging data, and then the starting node and the ending node of the energy storage system's charging and discharging cycle 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 goal of not having to manually process the charging and discharging data. This not only avoids misreading or omissions, but also improves the processing efficiency of the energy storage system's charging and discharging data. At the same time, the starting node and the ending node of the energy storage system's charging and discharging cycle are directly located by the charging and discharging cycle data of the energy storage object, which has higher accuracy and can more accurately analyze the performance of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] FIG1 is a schematic flow chart of a performance analysis method for an energy storage system provided in an embodiment of the present application;

[0018] FIG2 is a visual operation interface of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0019] FIG3 is a schematic diagram of a first sub-process of a performance analysis method for an energy storage system provided in an embodiment of the present application;

[0020] FIG4 is a schematic diagram of a second sub-process of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0021] FIG5 is a schematic diagram of a third sub-process of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0022] FIG6 is a schematic diagram of a fourth sub-process of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0023] FIG7 is a schematic diagram of a fifth sub-flow of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0024] FIG8 is a schematic diagram of a sixth sub-flow of the performance analysis method of the energy storage system provided in an embodiment of the present application;

[0025] FIG9 is a schematic diagram of a seventh sub-flow of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0026] FIG10 is a schematic diagram of an eighth sub-flow of the performance analysis method for an energy storage system provided in an embodiment of the present application;

[0027] FIG11 is a schematic block diagram of a performance analysis device for an energy storage system provided in an embodiment of the present application;

[0028] FIG12 is a schematic block diagram of an electronic device provided in an embodiment of the present application. Modes for Carrying Out the Invention

[0029] Please refer to Figure 1, which is a flow chart illustrating a method for analyzing the performance of an energy storage system according to an embodiment of the present application. The method for analyzing the performance of an energy storage system according to the present application is applied to a terminal device and executed by application software installed in the terminal device. The terminal device may be a desktop computer, laptop computer, tablet computer, mobile phone, electric vehicle terminal, or the like.

[0030] The performance analysis method of the energy storage system provided in this 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. This application is mainly for the performance analysis of the energy storage system before it leaves the factory, but it can also be applied to other application scenarios such as the performance analysis of the energy storage system after it leaves the factory.

[0031] The performance analysis method of the energy storage system is described in detail below.

[0032] As shown in FIG1 , the method includes the following steps S110 to S130 .

[0033] 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.

[0034] In this embodiment, the data file records 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 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, that is, it represents that the energy storage system has completed one charge and discharge cycle.

[0035] Specifically, since the energy storage system may span multiple natural days during a charge and discharge cycle, and thus 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.

[0036] 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. That is to say, when this 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, it can use the charge and discharge cycle data of any one of the battery clusters, battery packs, battery modules, and battery cells to achieve it, but the accuracy will be different. 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, this 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.

[0037] The data file can be a data file after the energy storage object is charged and discharged in the energy storage system, or a data file after the energy storage system is charged and discharged. That is to say, the number and type of data files can be selected according to actual applications, and this application does not make specific limitations.

[0038] In other embodiments, before step S110 , the method further includes the step of determining a data folder for charging and discharging the energy storage system to obtain at least one data file.

[0039] 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, this 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. Then, the at least one data file after charging and discharging the energy storage system can be processed to obtain the target charging and discharging data.

[0040] In this embodiment, during the performance analysis of the energy storage system, human-computer interaction can be performed in the form of visualization as shown in Figure 2. Specifically, in the visual operation interface shown in Figure 2, when it is necessary to perform performance analysis on a certain energy storage system, it is necessary to predetermine the battery management system corresponding to the energy storage system, such as the self-developed battery management system BMS. Then, a data import module can be set to perform folder addressing to locate the folder address where the data file of the energy storage system's charge and discharge is located. After determining the data folder of the energy storage system's charge and discharge, the corresponding data file can be obtained and processed, thereby obtaining the target charge and discharge data for analyzing the performance of the energy storage system. Among them, the self-developed battery management system BMS can be the battery management system independently developed by Yiwei Lithium Energy.

[0041] In other embodiments, as shown in FIG3 , step S110 includes steps S111 and S112 .

[0042] S111, merging multiple data files to obtain a merged data file;

[0043] S112: Perform data screening processing on the merged data file to obtain target charge and discharge data.

[0044] In this embodiment, the energy storage system completes a charge-discharge cycle spanning multiple calendar days. Therefore, the battery management system generates data files for multiple dates. Therefore, it is necessary to merge these files to obtain a data file containing the energy storage system's complete charge-discharge cycle, i.e., a merged data file. However, this merged data file may contain data from incomplete charge-discharge cycles, so it is necessary to filter the merged data file to obtain the target charge-discharge data.

[0045] For example, as shown in FIG2 , when performing visualization operations, the present application can set up a data merging module and a data filtering module. The data merging module can merge data files with the same attributes, so that the merged data file contains the charge and discharge cycle data of all energy storage objects in the energy storage system. The data filtering module can read the data in the merged data file and filter out valuable data columns, namely, 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.

[0046] The target charge and discharge data can be stored in multiple files or a single file. When stored in multiple files, each file can be used to store the charge and discharge cycle data of a single energy storage object. In other words, the storage method and storage type of the target charge and discharge data can be selected based on the actual application and are not specifically limited in this application.

[0047] During the data screening process 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 can 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.

[0048] In other embodiments, after the merged data file is subjected to data screening processing, the method further includes the step of classifying the filtered data and saving the data into at least one target charge and discharge cycle data file.

[0049] In this embodiment, the target charge-discharge data is stored in at least one target charge-discharge cycle data file. Each target charge-discharge cycle data file can store charge-discharge data for energy storage objects with the same attributes, where the attributes can include temperature, voltage, capacity, state of charge, current, energy storage object lifespan, etc. In other words, a target charge-discharge cycle data file includes any one of voltage data, temperature data, capacity data, state of charge data, current data, energy storage object lifespan data, etc., for at least one energy storage object in the energy storage system.

[0050] 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.

[0051] 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 energy storage object.

[0052] 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, capacitance, state of charge (SOC), etc. 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 specific limitations here.

[0053] 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 value of the highest voltages of multiple monomers.

[0054] In other embodiments, as shown in FIG. 4 , step S120 includes steps S121 and S122 .

[0055] S121. Determine a charge end node of a charge and discharge cycle of an energy storage system based on charge and discharge cycle data of at least one energy storage object;

[0056] S122 : Determine the charge start node, discharge end node, and discharge start node of the charge and discharge cycle of the energy storage system from the charge and discharge cycle data of the energy storage object corresponding to the charge end node.

[0057] 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 charge and discharge cycle, after obtaining the target charge and discharge data, the present application can first determine the charging ending node of the energy storage system's charge and discharge cycle from the highest voltage of the single cell in the charge and discharge cycle data of at least one energy storage object in the target charge and discharge 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 charge and discharge cycle from the charge and discharge cycle data of the corresponding energy storage object.

[0058] In some possible implementation methods, the present application can also pre-determine 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 pre-determining one of the nodes can be selected according to the charge and discharge cycle strategy of the energy storage system. To this end, the order of determining the charging end node, the charging start node, the discharging end node, and the discharging start node of the energy storage system's charge and discharge cycle can be selected according to actual applications, and this application does not make specific limitations.

[0059] In other embodiments, as shown in FIG5 , step S121 includes steps S1211 and S1212 .

[0060] S1211. Obtaining a maximum voltage of at least one cell from charge and discharge cycle data of at least one energy storage object;

[0061] S1212: Determine a charging end node of a charge-discharge cycle of the energy storage system according to the highest voltage of at least one cell.

[0062] Specifically, the maximum voltage of the energy storage object is the maximum voltage of the energy storage system during a charge and discharge cycle. After obtaining the maximum voltage of at least one cell 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 based on the voltage of at least one cell, and then this node can be used as the charging end node of the energy storage system's charge and discharge cycle. Among them, the maximum voltage of the cell can be no less than 3.65V. It should be noted that the cell mentioned in this application refers to the battery cell, that is, 3.65V can be the maximum voltage of the battery cell.

[0063] 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 with 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 using the maximum voltage of one of the single cells 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.

[0064] 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, 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 energy storage system charge and discharge cycle, or the highest voltage of the energy storage object with the lowest voltage value can be used as the charging end node of the energy storage system charge and discharge cycle. 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 energy storage system charge and discharge cycle. The specific determination method can be selected according to actual application, and this application does not make specific limitations.

[0065] When determining the charging end node of the energy storage system's charge and discharge cycle by the maximum voltage of a single cell, the present application can also obtain the maximum voltage of a single cell in each energy storage object from the charge and discharge cycle data of multiple energy storage objects, and then generate a maximum target voltage based on the multiple maximum voltages. The maximum target voltage can be the average voltage of the multiple maximum voltages, and then determine the charging end node of the energy storage system's charge and discharge cycle based on the node corresponding to this target voltage.

[0066] In addition, the present application can use the highest voltage of at least one cell to determine the charging end node of the energy storage system's charge and discharge cycle, or can use the highest voltage of at least one energy storage system to determine the charging end node of the energy storage system's charge and discharge cycle. The specific application method can be selected according to actual application, and the present application does not make specific limitations.

[0067] In other embodiments, as shown in FIG6 , step S122 includes steps S1221 , S1222 , and S1223 .

[0068] S1221. Determine a charging start node and a discharging end node from the charge and discharge cycle data of the energy storage object corresponding to the charging end node;

[0069] S1222. Obtain 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;

[0070] S1223. Determine a discharge start node according to the intermediate data.

[0071] 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 the tail row of data in the charging and discharging data when the "stack discharge capacity" is the minimum value can be captured in the charging and discharging cycle data of the corresponding energy storage object. This indicates that the energy storage system is about to start the charging step, and thus the charging start node of the energy storage system can be determined.

[0072] 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, backward capture 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.

[0073] After determining the discharge end node of the energy storage system, the data between the two nodes, i.e., the intermediate data, can be captured from the charge and discharge cycle data of the corresponding energy storage object, based on the charge and discharge end nodes of the energy storage system. Then, the data when the "stack charge capacity" is the minimum value can be captured from the intermediate data. At this time, it can be said 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.

[0074] 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. That is to say, 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 specific limitations.

[0075] 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.

[0076] Specifically, after determining the starting and ending nodes of the energy storage system's charge and discharge cycle, the data between the nodes in the target charge and discharge data can be completely extracted and analyzed, thereby accurately analyzing the performance of the energy storage system.

[0077] The data between nodes in the target charge and discharge 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 is not specifically limited in this application.

[0078] For example, as shown in Figure 2, when performing visual operations, the present application can set a data analysis button in the interface, which can correspond to a data analysis module. The data analysis module can filter the data file, analyze the complete charge and discharge cycle nodes, 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.

[0079] In other embodiments, as shown in FIG. 7 , step S130 includes steps S131 and S132 .

[0080] S131. Obtain target charge-discharge cycle data between a start node and an end node from the target charge-discharge data;

[0081] S132. Analyze the performance of the energy storage system according to the target charge-discharge cycle data to obtain a performance analysis result of the energy storage system.

[0082] In this embodiment, the starting nodes include a charging start node and a discharging start node, and the ending nodes include a charging end node and a discharging end node. Specifically, after determining the charging start node, discharging start node, charging end node, and discharging end node, the data between the charging start node and the charging end node, as well as the data between the discharging start node and the discharging end node, can be captured from the target charge and discharge data and used as target charge and discharge cycle data. Based on this, the performance of the energy storage system can be accurately analyzed. The performance analysis results of the energy storage system can include charge and discharge temperature rise and charge and discharge energy efficiency, and the charge and discharge temperature rise can include charging temperature rise and discharging temperature rise.

[0083] The target charge and discharge cycle data may be data after a charge and discharge cycle of a single energy storage object in the energy storage system, or data after a charge and discharge cycle of multiple energy storage objects in the energy storage system, or data after a charge and discharge cycle of all energy storage objects in the energy storage system. The target charge and discharge cycle data may be selected based on actual application, and this application does not impose any specific limitation.

[0084] In other embodiments, as shown in FIG8 , step S132 includes steps S1301 and S1302 .

[0085] S1301. Obtain the lowest temperature of the starting node and the highest temperature of the ending node from the target charge-discharge cycle data;

[0086] S1302: Generate charging and discharging temperature rise of the energy storage system according to the maximum temperature and the minimum temperature.

[0087] 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 charge and discharge 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 based on the first monomer temperature and the second monomer temperature, and the discharging temperature rise of the energy storage system can be generated based on 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.

[0088] 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 based on actual application and are not specifically limited in this application.

[0089] In addition, after obtaining the charging and discharging temperature rises of the energy storage system, the preset temperature rise threshold can be used to determine whether the energy storage system performance meets the standards. Among them, when determining whether the energy storage system performance meets the standards, a judgment module can be set up to achieve it, which can correspond to the result judgment button shown in Figure 2.

[0090] In other embodiments, as shown in FIG9 , step S132 includes steps S1321 and S1322 .

[0091] S1321. Obtain a first charge-discharge capacity of a start node and a second charge-discharge capacity of an end node from target charge-discharge cycle data;

[0092] S1322: Generate a 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.

[0093] 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; and the second discharge amount refers to the cumulative discharge amount of the energy storage system after the energy storage system finishes discharging.

[0094] 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 phase and the amount of electricity released during the discharge phase can be calculated. Then, the two calculated amounts are divided to obtain the charge and discharge energy efficiency of the energy storage system. The charge and discharge energy efficiency refers to the efficiency of the amount of electricity that can be released after the energy storage system is charged.

[0095] In other embodiments, as shown in FIG10 , step S132 further includes steps S132a and S132b.

[0096] S132a, acquiring a first chargeable and dischargeable capacity of a start node and a second chargeable and dischargeable capacity of an end node from the target charge and discharge cycle data;

[0097] 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.

[0098] In this embodiment, the performance analysis results also include charge and discharge capacity, which includes charge capacity and discharge capacity. Charge capacity refers to the capacity that can be charged by the energy storage system during the charge phase of a charge and discharge cycle, and discharge capacity refers to the capacity that can be released by the energy storage system during the discharge phase of a charge and discharge cycle. 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 by the energy storage system at the charge start node of a charge and discharge cycle, the first dischargeable capacity refers to the capacity that can be released by the energy storage system at the discharge start node of a charge and discharge cycle, the second chargeable capacity refers to the capacity that can be charged by the energy storage system at the charge end node of a charge and discharge cycle, and the second dischargeable capacity refers to the capacity that can be released by the energy storage system at the discharge end node of a charge and discharge cycle.

[0099] Specifically, after obtaining the first chargeable and dischargeable capacities and the second chargeable and dischargeable capacities from the target charge and discharge cycle data, the first chargeable capacity in the first chargeable and dischargeable capacities can be subtracted from the second chargeable and dischargeable capacities. At the same time, the first dischargeable capacity in the first chargeable and dischargeable capacities can be subtracted from the second dischargeable capacity in the second chargeable and dischargeable capacities. Thus, 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 can be obtained, respectively, and the performance of the energy storage system can be measured based on this.

[0100] In other embodiments, the performance analysis method of the energy storage system further 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.

[0101] 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 perform visual display. For example, as shown in FIG2 , the present application can set a data visualization module, which corresponds to the draw curve chart button in FIG2 . 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, it is only necessary to select the corresponding button, and then use the draw curve chart button to generate the corresponding visualization curve chart, which can facilitate manual review.

[0102] 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, thereby quickly locating the number and position of the abnormal energy storage object in the energy storage system.

[0103] In the performance analysis method of the energy storage system provided in the embodiment of the present application, target charge and discharge data is obtained by processing at least one data file of the energy storage system's charge and discharge; 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; based on the charge and discharge cycle data of at least one energy storage object, the starting node and the ending node of the energy storage system's charge and discharge cycle are determined; based on 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 manually process the charge and discharge data, which not only avoids the occurrence of errors or omissions, 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 energy storage system's charge and discharge cycle, which has higher accuracy, and thus the performance of the energy storage system can be analyzed more accurately.

[0104] An 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 aforementioned performance analysis method for an energy storage system.

[0105] Specifically, please refer to FIG11 , which is a schematic block diagram of a performance analysis device 200 for an energy storage system provided in an embodiment of the present application.

[0106] As shown in FIG11 , the performance analysis device 200 for an energy storage system includes: a first processing unit 210 , a determination unit 220 , and a second processing unit 230 .

[0107] The first processing unit 210 is configured to process at least one data file after charging and discharging the energy storage system to obtain target charge and discharge data. 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. The charge and discharge cycle data includes charge and discharge cycle data of at least one energy storage object. 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.

[0108] In other embodiments, the performance analysis device 200 of the energy storage system is further configured to: determine a data folder for charging and discharging the energy storage system to obtain at least one data file.

[0109] In other embodiments, the first processing unit 210 is specifically configured to: perform file merging processing on multiple data files to obtain a merged data file; and perform data screening processing on the merged data file to obtain target charge and discharge data.

[0110] The determining unit 220 is 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 energy storage object.

[0111] In other embodiments, the determination unit 220 is specifically used to: determine the charging end node of the energy storage system's charging and discharging cycle based on the charging and discharging cycle data of at least one energy storage object; and determine the charging start node, discharging end node, and discharging start node of the energy storage system's charging and discharging cycle from the charging and discharging cycle data of the energy storage object corresponding to the charging end node.

[0112] In other embodiments, the determination unit 220 is specifically configured to: obtain the maximum voltage of at least one cell from the charge and discharge cycle data of at least one energy storage object; and determine the charge end node of the charge and discharge cycle of the energy storage system based on the maximum voltage of at least one cell.

[0113] In other embodiments, 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 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.

[0114] The second processing unit 230 is configured 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.

[0115] In other embodiments, the second processing unit 230 is specifically used to: obtain target charge and discharge cycle data between the start node and the end node from the target charge and discharge data; analyze the performance of the energy storage system based on the target charge and discharge cycle data to obtain a performance analysis result of the energy storage system.

[0116] In other embodiments, the second processing unit 230 is specifically configured 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 based on the highest temperature and the lowest temperature.

[0117] In other embodiments, the second processing unit 230 is specifically used to: obtain a first charge and discharge amount of a starting node and a second charge and discharge amount of an ending node from the target charge and discharge cycle data; and generate a 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.

[0118] In other embodiments, the second processing unit 230 is specifically used to: obtain a first chargeable and dischargeable capacity of a starting node and a second chargeable and dischargeable capacity of an ending node from the target charge and discharge cycle data; and generate a charge and discharge capacity of the energy storage system based on the first chargeable and dischargeable capacity and the second chargeable and dischargeable capacity.

[0119] In other embodiments, the performance analysis device 200 of the energy storage system is further 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 based on the target charge and discharge data.

[0120] The performance analysis device 200 of an energy storage system provided in the present application is used 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 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; based on the charging and discharging cycle data of the at least one energy storage object, the starting node and the ending node of the charging and discharging cycle of the energy storage system are determined; and based on the starting node and the ending node, the target charging and discharging data are processed to obtain a performance analysis result of the energy storage system.

[0121] 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 energy storage system can refer to the corresponding description in the embodiment of the performance analysis method of the energy storage system. For the convenience and brevity of the description, it will not be repeated here.

[0122] The performance analysis device 200 for an energy storage system may be implemented in the form of a computer program, which may be run on an electronic device as shown in FIG12 .

[0123] Please refer to Figure 12, which is a schematic block diagram of an electronic device provided in an embodiment of the present application. The electronic device 300 can be a terminal, wherein the terminal can be a cloud terminal, an in-vehicle terminal device, a smartphone, a tablet computer, a laptop computer, a desktop computer, a personal digital assistant, a wearable device, etc.

[0124] 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 .

[0125] The non-volatile storage medium 303 can store an operating system 3031 and a computer program 3032. The computer program 3032 includes program instructions, which, when executed, can enable the processor 302 to execute a performance analysis method for an energy storage system.

[0126] The processor 302 is used to provide computing and control capabilities to support the operation of the entire electronic device 300.

[0127] 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.

[0128] The network interface 305 is used to communicate with other devices over a network. Those skilled in the art will appreciate that the structure shown in FIG12 may be a block diagram of a portion of the structure related to the present application solution, and does not limit the electronic device 300 to which the present application solution is applied. The specific electronic device 300 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0129] The processor 302 is configured to execute a computer program 3032 stored in the memory to implement the following steps: processing at least one data file of the energy storage system's charge and discharge to obtain target charge and discharge data; wherein the target charge and discharge data includes 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 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; determining a start node and an end node of the energy storage system's charge and discharge cycle based on the charge and discharge cycle data of the at least one energy storage object; and processing the target charge and discharge data based on the start node and the end node to obtain a performance analysis result of the energy storage system.

[0130] It should be understood that in the embodiment of the present application, the processor 302 may be a central processing unit (CPU), or may 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. The general-purpose processor may be a microprocessor or any conventional processor.

[0131] 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 including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an 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 charging and discharging of an 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 a battery cluster, a battery pack, a battery module, and a battery cell of the energy storage system; determining the starting node and the ending node of the charging and discharging cycle of the energy storage system based on the charging and discharging cycle data of at least one energy storage object; and processing the target charging and discharging data based on the starting node and the ending node to obtain a performance analysis result of the energy storage system.

[0132] Those skilled in the art will appreciate that all or part of the process steps in the energy storage system performance analysis method can be implemented by instructing related hardware through a computer program. The computer program includes program instructions, which can be stored in a storage medium, which is a computer-readable storage medium. The computer-readable storage medium can be either non-volatile or volatile. The program instructions are executed by at least one processor in the computer system to implement the process steps of the energy storage system performance analysis method.

[0133] 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 energy storage system's charge and discharge 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; based on the charge and discharge cycle data of at least one energy storage object, determining the starting node and the ending node of the energy storage system's charge and discharge cycle; based on the starting node and the ending node, processing the target charge and discharge data to obtain a performance analysis result of the energy storage system.

[0134] The storage medium may be any computer-readable storage medium that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

Claims

1. A performance analysis method for an energy storage system, comprising: 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 charge and discharge cycle of the energy storage system based on charge and discharge cycle data of at least one of the energy storage objects; The target charge and discharge data are processed according to the starting node and the ending node to obtain a performance analysis result of the energy storage system.

2. The performance analysis method of the energy storage system according to claim 1, wherein: The starting nodes include a charging starting node and a discharging starting node, and the ending nodes include a charging ending node and a discharging ending node; Wherein, determining the starting node and the ending node of the charge-discharge cycle of the energy storage system according to the charge-discharge cycle data of at least one of the energy storage objects includes: determining a charging end node of the energy storage system's charge and discharge cycle based on charge and discharge cycle data of at least one of the energy storage objects; The charging start node, the discharging end node and the discharging start node of the energy storage system charging and discharging cycle are determined from the charging and discharging cycle data of the energy storage object corresponding to the charging end node.

3. The performance analysis method of the energy storage system according to claim 2, wherein: Determining a charging end node of the energy storage system's charging and discharging cycle based on the charging and discharging cycle data of at least one of the energy storage objects includes: Obtaining the maximum voltage of at least one cell from charge and discharge cycle data of at least one of the energy storage objects; A charging end node of a charge-discharge cycle of the energy storage system is determined according to a maximum voltage of at least one of the cells.

4. The performance analysis method of the energy storage system according to claim 2, wherein: The step of determining the charge start node, the discharge end node, and the discharge start node of the charge and discharge cycle of the energy storage system from the charge and discharge cycle data of the energy storage object corresponding to the charge end node includes: 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; 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; The discharge starting node is determined according to the intermediate data.

5. The performance analysis method of an energy storage system according to any one of claims 1 to 4, wherein: The processing of 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 includes: acquiring target charge-discharge cycle data between the start node and the end node from the target charge-discharge data; The performance of the energy storage system is analyzed according to the target charge-discharge cycle data to obtain a performance analysis result of the energy storage system.

6. The performance analysis method of the energy storage system according to claim 5, wherein: 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 a performance analysis result of the energy storage system includes: Obtaining 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.

7. The performance analysis method of the energy storage system according to claim 5, wherein: 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 a performance analysis result of the energy storage system includes: Obtaining a first charge-discharge amount of the start node and a second charge-discharge amount of the end node from the target charge-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.

8. The performance analysis method of the energy storage system according to claim 5, wherein: 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 a performance analysis result of the energy storage system includes: Obtaining 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.

9. The performance analysis method of an energy storage system according to any one of claims 1 to 4, further comprising: 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.

10. The performance analysis method of an energy storage system according to any one of claims 1 to 9, wherein: Before processing the at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data, the method further includes: A data folder for charging and discharging the energy storage system is determined to obtain at least one data file.

11. The performance analysis method of an energy storage system according to any one of claims 1 to 9, wherein: The processing of at least one data file of charging and discharging of the energy storage system to obtain target charging and discharging data includes: Performing file merging processing on the multiple data files to obtain a merged data file; The merged data file is subjected to data screening processing to obtain the target charge and discharge data.

12. A performance analysis device for an energy storage system, comprising: 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; a determining unit, configured to determine a start node and an end node of a charge and discharge cycle of the energy storage system based on charge and discharge cycle data of at least one of the energy storage objects; The second processing unit is configured 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.

13. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the energy storage system performance analysis method according to any one of claims 1 to 11 when executing the computer program. 14 . A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of the energy storage system performance analysis method according to any one of claims 1 to 11.

15. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of the method for analyzing the charge and discharge performance of an energy storage system according to any one of claims 1 to 11.

Images