A lithium battery voltage compensation method and system, electronic device and medium thereof

Abstract

The present application belongs to the technical field of lithium batteries, and relates to a lithium battery voltage compensation method and system, an electronic device and a medium thereof, comprising the following steps: obtaining current feature data sets of a lithium battery to be compensated at different time points, wherein the current feature data sets include current capacity data sets and current temperature data sets; inputting the current feature data sets into a pre-constructed voltage compensation model to output an influence rate of temperature on voltage increment; determining a target voltage to be compensated according to the influence rate of temperature on voltage increment; and applying the target voltage to be compensated to a pre-obtained current voltage curve to obtain a compensated target voltage curve.

Description

Technical Field

[0001] This invention belongs to the field of lithium battery technology and relates to a lithium battery voltage compensation method, system, electronic device and its medium. Background Technology

[0002] In the battery manufacturing process, battery cells undergo formation and capacity testing before leaving the factory. Formation aims to initiate the chemical reaction for charging. If a lithium battery skips formation and is directly charged normally, excessive constant current may damage the battery. Therefore, formation is performed first to activate the active materials within the battery before normal charging. Capacity testing involves charging and discharging the lithium battery cells during production to determine the cell's capacity based on its discharge capacity at full charge. Both the formation and capacity testing stages generate a large amount of cell data, such as current, voltage, temperature, and capacity curves at various time points. This data can be used for big data analysis and prediction, providing valuable information such as battery quality performance, faults, capacity calibration, and health status. However, temperature fluctuations can occur during the formation and capacity testing processes. (See attached diagram.) Figure 5 Temperature fluctuations from 25 degrees to 35 degrees are very common on a certain production line. As a result, the activity of chemical substances in lithium batteries will change, affecting the voltage curve and causing the actual electrode potential to deviate from the equilibrium electrode potential. This leads to the cell voltage calibration during the formation and capacity testing stages deviating from the cell's true voltage. These biased data will also interfere with subsequent cell data analysis and modeling, thereby reducing the reliability of the data generated during the capacity testing and formation stages. Summary of the Invention

[0003] The purpose of this invention is to address the shortcomings of existing technologies by providing a lithium battery voltage compensation method, system, electronic device, and medium, so that the estimated voltage of the battery cell can be closer to the actual voltage of the battery cell, thereby improving the reliability of the data generated during the capacity testing and formation stages of the battery cell.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] The first aspect of this invention is to provide a lithium battery voltage compensation method, comprising the following steps:

[0006] Obtain the current feature dataset of the lithium battery to be compensated at different time points, wherein the current feature dataset includes: current capacity dataset and current temperature dataset;

[0007] The current feature dataset is input into a pre-built voltage compensation model, which outputs the rate of influence of temperature on voltage increment.

[0008] The target voltage to be compensated is determined based on the rate of influence of temperature on voltage increment.

[0009] The target voltage to be compensated is applied to the pre-obtained current voltage curve to obtain the compensated target voltage curve.

[0010] Furthermore, the specific method for constructing the voltage compensation model is as follows:

[0011] Collect historical capacity and temperature data during the charging process of the same type of lithium battery;

[0012] The historical capacity data is divided into multiple consecutive capacity intervals, and the historical starting capacity value and historical ending capacity value of each interval are determined.

[0013] Based on the historical starting capacity value and the historical ending capacity value, determine the historical first voltage and historical first temperature data corresponding to the starting capacity and the historical second voltage and historical second temperature data corresponding to the ending capacity for each interval;

[0014] Based on the first historical voltage and the second historical voltage, determine the voltage increment data corresponding to each interval, and based on the first historical temperature data and the second historical temperature data, determine the temperature change data;

[0015] Based on the voltage increment data and the temperature change data, establish a correlation model between the voltage increment data and the temperature change data;

[0016] Regression analysis was performed on the correlation model to obtain the correlation curve between voltage increment data and temperature change data;

[0017] All the correlation curves are integrated to generate a voltage compensation model.

[0018] Furthermore, the current feature dataset is input into a pre-built voltage compensation model, and the output of the influence rate of temperature on voltage increment in the capacity dataset includes:

[0019] Based on the current capacity dataset, determine the capacity range corresponding to each capacity data in the current capacity dataset;

[0020] Based on the capacity range corresponding to each capacity data point, determine the current temperature data corresponding to each capacity data point;

[0021] Input the current temperature data corresponding to each capacity data point into a pre-built voltage compensation model, and output the influence rate of the temperature in the capacity data on the voltage increment.

[0022] Furthermore, determining the target voltage to be compensated based on the rate of influence of temperature on voltage increment specifically includes:

[0023] Divide the current capacity dataset into multiple capacity intervals and determine the current starting capacity value and current ending capacity value for each interval;

[0024] Based on the current starting capacity value and the current ending capacity value, determine the current capacity increment for each interval;

[0025] Multiply the current capacity increment by the rate of temperature effect on voltage increment to obtain the target voltage to be compensated.

[0026] Furthermore, before dividing the historical capacity data into multiple consecutive capacity intervals and determining the historical starting capacity value and historical ending capacity value for each interval, the method further includes: establishing a correlation curve between capacity and time based on the obtained capacity dataset.

[0027] A second aspect of the present invention is to provide a lithium battery voltage compensation system, characterized in that it comprises:

[0028] The acquisition module is used to acquire the current feature dataset of the lithium battery to be compensated at different time points, wherein the current feature dataset includes the current capacity dataset and the current temperature dataset.

[0029] The input / output module is used to input the current feature dataset into a pre-built voltage compensation model and output the influence rate of temperature on voltage increment.

[0030] The first determining module is used to determine the target voltage to be compensated based on the influence rate of the temperature on the voltage increment.

[0031] An application module is used to apply the target voltage to be compensated to a pre-obtained current voltage curve to obtain a compensated target voltage curve.

[0032] Furthermore, the input / output module includes:

[0033] The second determining module is used to determine the capacity range corresponding to each capacity data in the current capacity dataset based on the current capacity dataset.

[0034] The third determining module is used to determine the current temperature data corresponding to each capacity data according to the capacity range corresponding to each capacity data.

[0035] The input / output submodule is used to input the current temperature data corresponding to each capacity data into a pre-built voltage compensation model and output the influence rate of temperature on voltage increment in the capacity data.

[0036] Furthermore, the input / output module includes:

[0037] A partitioning module is used to divide the current capacity dataset into multiple capacity intervals and determine the current starting capacity value and the current ending capacity value of each interval.

[0038] The first sub-determination module is used to determine the current capacity increment of each interval based on the current starting capacity value and the current ending capacity value.

[0039] The calculation module is used to multiply the current capacity increment by the rate of temperature effect on voltage increment to obtain the target voltage to be compensated.

[0040] A third aspect of the present invention is to provide an electronic device, characterized in that the electronic device includes at least one processor; and,

[0041] A memory communicatively connected to the at least one processor; wherein,

[0042] The memory stores instructions that can be executed by the at least one processor, which, when executed, enable the at least one processor to perform the lithium battery voltage compensation method.

[0043] A fourth aspect of the present invention is to provide a non-volatile computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the lithium battery voltage compensation method.

[0044] The beneficial effects of this invention are:

[0045] By acquiring the current feature dataset of the lithium battery to be compensated at different time points, including the current capacity dataset and the current temperature dataset; inputting the current feature dataset into a pre-built voltage compensation model to output the influence rate of temperature on voltage increment; determining the target voltage to be compensated based on the influence rate of temperature on voltage increment; applying the target voltage to be compensated to the pre-obtained current voltage curve to obtain the compensated target voltage curve; this can solve the problem of inconsistency between the actual voltage and the estimated voltage caused by temperature changes, making the estimated voltage of the battery cell closer to the actual voltage of the battery cell, and improving the reliability of the data generated during the capacity grading and formation stages of the battery cell. Attached Figure Description

[0046] Appendix Figure 1 This is a schematic diagram of the overall process of the lithium battery voltage compensation method in this invention;

[0047] Appendix Figure 2 This is a schematic diagram of a sub-step of step S200 in this invention;

[0048] Appendix Figure 3 This is a schematic diagram of a sub-step of step S300 in this invention;

[0049] Appendix Figure 4 This is a schematic diagram of the structure of the present invention;

[0050] Appendix Figure 5 This is a schematic diagram illustrating the change of cell voltage over time without voltage compensation in this invention.

[0051] Appendix Figure 6 This is a schematic diagram illustrating the change of cell capacity voltage over time without voltage compensation in this invention.

[0052] Appendix Figure 7 This is a distribution image showing the correlation between temperature and voltage increment data in this invention;

[0053] Appendix Figure 8 This is the correlation curve between voltage increment data and temperature change data in this invention;

[0054] Appendix Figure 9 This is a schematic diagram showing the change of cell voltage over time at 0.3C, 0.1C, and 0C after voltage compensation in this invention.

[0055] Appendix Figure 10 This is a schematic diagram of the electronic device in this invention. Detailed Implementation

[0056] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0057] During the battery formation and capacity testing process, temperature fluctuations from 25°C to 35°C are very common on a certain production line. This alters the activity of the chemical substances in the lithium battery, affecting the voltage curve and causing the actual electrode potential to deviate from the equilibrium electrode potential. Consequently, the voltage calibration of the cell during formation and capacity testing deviates from the cell's true voltage. Therefore, the first aspect of this invention is to provide a lithium battery voltage compensation method, as detailed in the appendix. Figure 1 The method of the present invention includes the following steps:

[0058] S100: Obtain the current feature dataset of the lithium battery to be compensated at different time points, wherein the current feature dataset includes the current capacity dataset and the current temperature dataset;

[0059] It should be noted that the current capacity dataset is a set of corresponding capacity values ​​of lithium batteries at different times during charging, and the current temperature dataset is a set of corresponding temperature values ​​of lithium batteries at different times during charging.

[0060] S200: Input the current feature dataset into the pre-built voltage compensation model and output the influence rate of temperature on voltage increment;

[0061] S300: Determine the target voltage to be compensated based on the influence rate of the temperature on the voltage increment;

[0062] S400: Apply the target voltage to be compensated to the pre-obtained current voltage curve to obtain the compensated target voltage curve.

[0063] By acquiring the current feature dataset of the lithium battery to be compensated at different time points, including the current capacity dataset and the current temperature dataset; inputting the current feature dataset into a pre-built voltage compensation model to output the influence rate of temperature on voltage increment; determining the target voltage to be compensated based on the influence rate of temperature on voltage increment; applying the target voltage to be compensated to the pre-obtained current voltage curve to obtain the compensated target voltage curve; this can solve the problem of inconsistency between the actual voltage and the estimated voltage caused by temperature changes, making the estimated voltage of the battery cell closer to the actual voltage of the battery cell, and improving the reliability of the data generated during the capacity grading and formation stages of the battery cell.

[0064] In one embodiment, the specific method for constructing the voltage compensation model is as follows:

[0065] Collect historical capacity and temperature data during the charging process of the same type of lithium battery;

[0066] When building the model, it is necessary to obtain a large number of battery cells of the same model as samples. Therefore, in this technical solution, temperature data and capacity data of no less than 10,000 battery cells of the same model are randomly extracted for modeling to make the model more accurate.

[0067] The historical capacity data is divided into multiple consecutive capacity intervals, and the historical starting capacity value and historical ending capacity value of each interval are determined.

[0068] In this model construction, the capacity data is divided into multiple consecutive capacity intervals. This facilitates easy lookup for subsequent compensation of battery cells, allowing the model to be found and used within the corresponding small interval based on the data points. In this embodiment, the capacity is divided into 20 intervals, with starting capacities of 0mAh, 300mAh, 600mAh...5700, 6000mAh. Each interval is divided into 300mAh intervals, and the ending capacity of each interval is the same as the starting capacity of the next interval. For example, the first capacity interval is 0mAh-300mAh, and the second capacity interval is 300mAh-600mAh.

[0069] Based on the historical starting capacity value and the historical ending capacity value, determine the historical first voltage and historical first temperature data corresponding to the starting capacity and the historical second voltage and historical second temperature data corresponding to the ending capacity for each interval;

[0070] When the starting and ending capacity values ​​for each interval are determined, although the length of each interval is the same, the capacity of the battery cell increases continuously during charging until it reaches the maximum capacity value of the battery cell; the voltage at the starting and ending capacity values ​​will also be different during the charging process.

[0071] Based on the first historical voltage and the second historical voltage, determine the voltage increment data corresponding to each interval, and based on the first historical temperature data and the second historical temperature data, determine the temperature change data;

[0072] It should be noted that the voltage increment data for each interval = historical second voltage - historical first voltage; the temperature change data = (historical first temperature data + historical second temperature data) / 2. In some other embodiments, the temperature change data can also be set to the historical first temperature data corresponding to the starting capacity value of each interval, and the temperature change data can also be set to the historical second temperature data corresponding to the ending capacity value of each interval.

[0073] Based on the voltage increment data and the temperature change data, establish a correlation model between the voltage increment data and the temperature change data;

[0074] After obtaining the voltage increment data, the corresponding voltage increment data can be determined based on the historical temperature data. The historical temperature data is used as the horizontal axis of the model, and the voltage increment data is used as the vertical axis of the model to establish a correlation model between the voltage increment data and the temperature change data.

[0075] Reference Appendix Figure 7 and appendix Figure 8 The correlation model is then subjected to regression analysis to obtain the correlation curve between voltage increment data and temperature change data;

[0076] Because a large amount of sample data was used when building the model, it is possible to obtain a distribution image of the correlation between temperature and voltage increment data within a certain temperature range, which is the correlation model obtained above. At this time, regression analysis of the correlation model can be performed to obtain the correlation curve between voltage increment data and temperature change data.

[0077] All the correlation curves are integrated to generate a voltage compensation model.

[0078] Since a correlation curve between voltage increment data and temperature change data can be obtained for each capacity range, it is necessary to integrate the correlation curves obtained from all the divided capacity ranges in order to obtain the voltage compensation model.

[0079] Reference Appendix Figure 2 In one embodiment, the current feature dataset is input into a pre-built voltage compensation model, and the output is the rate of influence of temperature on voltage increment in the capacity dataset, specifically including:

[0080] S210: Based on the current capacity dataset, determine the capacity range corresponding to each capacity data in the current capacity dataset;

[0081] S220: Determine the current temperature data corresponding to each capacity data based on the capacity range corresponding to each capacity data.

[0082] S230: Input the current temperature data corresponding to each capacity data point into the pre-built voltage compensation model, and output the influence rate of the temperature in the capacity data on the voltage increment.

[0083] Reference Appendix Figure 3 and appendix Figure 9 In one embodiment, determining the target voltage to be compensated based on the rate of influence of temperature on voltage increment specifically includes:

[0084] S310: Divide the current capacity dataset into multiple capacity intervals and determine the current starting capacity value and the current ending capacity value for each interval;

[0085] It should be understood that in step S310, the size of the divided capacity interval is set to be the same as the size of the divided capacity interval during the voltage compensation model establishment process.

[0086] S320: Determine the current capacity increment for each interval based on the current starting capacity value and the current ending capacity value;

[0087] S330: Multiply the current capacity increment by the rate of temperature effect on voltage increment to obtain the target voltage to be compensated.

[0088] Reference Appendix Figure 6In one embodiment, before dividing the historical capacity data into multiple consecutive capacity intervals and determining the historical starting capacity value and historical ending capacity value of each interval, the method further includes: establishing a correlation curve between capacity and time based on the obtained capacity dataset.

[0089] Reference Appendix Figure 4 A second aspect of the present invention is to provide a lithium battery voltage compensation system, characterized in that it comprises:

[0090] The acquisition module is used to acquire the current feature dataset of the lithium battery to be compensated at different time points, wherein the current feature dataset includes the current capacity dataset and the current temperature dataset.

[0091] The input / output module is used to input the current feature dataset into a pre-built voltage compensation model and output the influence rate of temperature on voltage increment.

[0092] The first determining module is used to determine the target voltage to be compensated based on the influence rate of the temperature on the voltage increment.

[0093] An application module is used to apply the target voltage to be compensated to a pre-obtained current voltage curve to obtain a compensated target voltage curve.

[0094] By setting up an acquisition module, an input / output module, a first determination module, and an application module, the acquisition module is used to acquire the current feature dataset of the lithium battery to be compensated at different time points, wherein the current feature dataset includes a current capacity dataset and a current temperature dataset; the input / output module is used to input the current feature dataset into a pre-built voltage compensation model and output the influence rate of temperature on voltage increment; the determination module is used to determine the target voltage to be compensated based on the influence rate of temperature on voltage increment; the application module is used to apply the target voltage to be compensated to the pre-obtained current voltage curve to obtain the compensated target voltage curve; this can solve the problem of inconsistency between the actual voltage and the estimated voltage caused by temperature changes, making the estimated voltage of the battery cell closer to the actual voltage of the battery cell, and improving the reliability of the data generated by the battery cell during the capacity grading and formation stages.

[0095] In one embodiment, the input / output module includes:

[0096] The second determining module is used to determine the capacity range corresponding to each capacity data in the current capacity dataset based on the current capacity dataset.

[0097] The third determining module is used to determine the current temperature data corresponding to each capacity data according to the capacity range corresponding to each capacity data.

[0098] The input / output submodule is used to input the current temperature data corresponding to each capacity data into a pre-built voltage compensation model and output the influence rate of temperature on voltage increment in the capacity data.

[0099] In one embodiment, the input / output module includes:

[0100] A partitioning module is used to divide the current capacity dataset into multiple capacity intervals and determine the current starting capacity value and the current ending capacity value of each interval.

[0101] The first sub-determination module is used to determine the current capacity increment of each interval based on the current starting capacity value and the current ending capacity value.

[0102] The calculation module is used to multiply the current capacity increment by the rate of temperature effect on voltage increment to obtain the target voltage to be compensated.

[0103] Reference Appendix Figure 10 A third aspect of the present invention is to provide an electronic device, the electronic device comprising:

[0104] One or more processors and memory, which can be connected via a bus or other means. The processor performs various control logic functions of the system and can be a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), microcontroller, ARM (Acorn RISC Machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Furthermore, the processor can also be any conventional processor, microprocessor, or state machine. The processor can also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors combined with a DSP, and / or any other such configuration.

[0105] Memory, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions corresponding to the lithium battery voltage compensation method in the embodiments of the present invention. The processor executes various system functions and data processing by running the non-volatile software programs, instructions, and units stored in the memory, thereby implementing the lithium battery voltage compensation method in the above method embodiments.

[0106] The memory may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; the data storage area may store data created according to the use of system 50, etc. Furthermore, the memory may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, and these remote memories may be connected to the system via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0107] One or more units are stored in memory, and when executed by one or more processors, they perform the lithium battery voltage compensation method in any of the above method embodiments, for example, the method described above. Figure 1 Method steps S100 to S400.

[0108] This invention provides a non-volatile computer-readable storage medium storing computer-executable instructions that are executed by one or more processors, for example, to perform the operations described above. Figure 1 Method steps S100 to S400.

[0109] As an example, non-volatile storage media can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) as an external cache memory. By way of explanation, RAM can be obtained in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). The memory components or memories disclosed in the operating environment described herein are intended to include one or more of these and / or any other suitable types of memory.

[0110] The embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0111] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, and of course, it can also be implemented using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can exist in a computer-readable storage medium, such as ROM / RAM, disk, optical disk, etc., including several methods for causing a computer electronic device (which may be a personal computer, server, or network electronic device, etc.) to execute the various embodiments or some parts of the embodiments.

[0112] Among other things, conditional language such as “can,” “may,” “may,” or “may,” unless otherwise specifically stated or otherwise understood in the context in which they are used, is generally intended to convey that a particular implementation may include (but not others) certain features, elements, and / or operations. Therefore, such conditional language is also generally intended to imply that features, elements, and / or operations are necessary for one or more implementations in any way, or that one or more implementations must include logic for determining, with or without input or prompting, whether such features, elements, and / or operations are included or will be performed in any particular implementation.

[0113] The embodiments described above are merely one of the preferred embodiments of the present invention. Ordinary variations and substitutions made by those skilled in the art within the scope of the technical solutions of the present invention should be included within the protection scope of the present invention.

Claims

1. A lithium battery voltage compensation method, characterized by, The method comprises the following steps: obtaining a current feature data set of a lithium battery to be compensated at different time points, the current feature data set comprising a current capacity data set and a current temperature data set; inputting the current feature data set into a pre-constructed voltage compensation model to output an influence rate of temperature on voltage increment; determining a target voltage to be compensated according to the influence rate of temperature on voltage increment; applying the target voltage to be compensated to a pre-obtained current voltage curve to obtain a compensated target voltage curve; the specific method for constructing the voltage compensation model is as follows: collecting historical capacity data and historical temperature data of the same type of lithium battery during the charging process; dividing the historical capacity data into a plurality of continuous capacity intervals and determining historical starting capacity values and historical ending capacity values of each interval; determining historical first voltage and historical first temperature data corresponding to the starting capacity and historical second voltage and historical second temperature data corresponding to the ending capacity on each interval according to the historical starting capacity values and the historical ending capacity values; determining corresponding voltage increment data on each interval according to the historical first voltage and the historical second voltage, and determining temperature change data according to the historical first temperature data and the historical second temperature data; establishing a correlation model between the voltage increment data and the temperature change data according to the voltage increment data and the temperature change data; performing regression analysis on the correlation model to obtain a correlation curve of the voltage increment data and the temperature change data; integrating all the correlation curves to generate a voltage compensation model.

2. The method of claim 1, wherein, inputting the current feature data set into a pre-constructed voltage compensation model to output an influence rate of temperature on voltage increment in the capacity data set, specifically comprising: determining a capacity interval corresponding to each capacity data in the current capacity data set according to the current capacity data set; determining current temperature data corresponding to each capacity data according to the capacity interval corresponding to each capacity data; inputting the current temperature data corresponding to each capacity data into the pre-constructed voltage compensation model to output the influence rate of temperature on voltage increment in the capacity data set.

3. The method of claim 1, wherein the voltage compensation is applied to the lithium battery when the lithium battery is in a state of overdischarge. The method for determining the target voltage to be compensated according to the influence rate of temperature on voltage increment specifically comprises: ​ dividing the current capacity data set into a plurality of capacity intervals and determining current starting capacity values and current ending capacity values of each interval; determining a current capacity increment of each interval according to the current starting capacity values and the current ending capacity values; multiplying the current capacity increment by the influence rate of temperature on voltage increment to obtain the target voltage to be compensated.

4. The method of claim 1, wherein, Before the historical capacity data is divided into a plurality of continuous capacity intervals and the historical starting capacity values and the historical ending capacity values of each interval are determined, the method further comprises establishing a correlation curve of capacity and time according to the obtained capacity data set.

5. A lithium battery voltage compensation system, characterized by, The system uses the lithium battery voltage compensation method of claim 1, comprising: an acquisition module, the acquisition module being configured to obtain a current feature data set of a lithium battery to be compensated at different time points, the current feature data set comprising a current capacity data set and a current temperature data set; An input-output module is configured to input the current feature data set into a pre-constructed voltage compensation model and output an influence rate of temperature on voltage increment; A first determination module is configured to determine a target voltage to be compensated according to the influence rate of temperature on voltage increment; An application module is configured to apply the target voltage to be compensated to a pre-obtained current voltage curve to obtain a compensated target voltage curve.

6. A lithium battery voltage compensation system as claimed in claim 5, wherein, The input-output module includes: A second determination module is configured to determine a capacity interval corresponding to each capacity data in the current capacity data set according to the current capacity data set; A third determination module is configured to determine current temperature data corresponding to each capacity data according to the capacity interval corresponding to each capacity data; An input-output sub-module is configured to input the current temperature data corresponding to each capacity data into a pre-constructed voltage compensation model and output an influence rate of temperature on voltage increment in the capacity data set.

7. The lithium battery voltage compensation system of claim 5, wherein, The input-output module includes: A division module is configured to divide the current capacity data set into a plurality of capacity intervals and determine a current start capacity value and a current end capacity value of each interval; A first sub-determination module is configured to determine a current capacity increment of each interval according to the current start capacity value and the current end capacity value; A calculation module is configured to multiply the current capacity increment by the influence rate of temperature on voltage increment to obtain a target voltage to be compensated.

8. An electronic device, comprising: The electronic device includes at least one processor; and The memory is in communication connection with the at least one processor; wherein The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the lithium battery voltage compensation method of any one of claims 1-4.

9. A non-transitory computer readable storage medium, comprising: The non-volatile computer readable storage medium stores computer executable instructions, and the computer executable instructions are executed by one or more processors to enable the one or more processors to perform the lithium battery voltage compensation method of any one of claims 1-4.

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