State of charge correction method, computer device, storage medium and program product

Abstract

The invention relates to a state of charge correction method, computer equipment, a storage medium and a program product. The method comprises the steps of obtaining a first charge state of a current battery in response to a charge state correction instruction; based on the first charge state, looking up a table to obtain a first open-circuit voltage corresponding to the first charge state and equivalent circuit model parameters of the current battery; calculating a second open-circuit voltage of the current battery based on equivalent circuit model parameters; and correcting the first charge state of the current battery based on the first open-circuit voltage and the second open-circuit voltage. By adopting the method, the SOC estimation accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of battery management technology, and in particular to a state of charge correction method, computer equipment, storage medium and program product. Background Art

[0002] In the field of new energy vehicles, vehicle remaining mileage estimation is one of the important technologies in the vehicle operation process. The key to remaining mileage estimation is to accurately estimate the battery's SOC (State of Charge). However, due to issues such as BMS (Battery Management System) sampling accuracy, today's battery SOC estimation algorithm still has a low accuracy problem, resulting in a deviation between the SOC estimation value on the BMS side and the actual SOC value, making the vehicle estimate the remaining mileage too high and there is a risk of breakdown.

[0003] It can be seen that the current battery SOC estimation algorithm still has the problem of low accuracy. Summary of the invention

[0004] Based on this, it is necessary to provide a state of charge correction method, computer equipment, storage medium and program product that can improve the accuracy of SOC estimation in response to the above technical problems.

[0005] In a first aspect, the present application provides a state of charge correction method, which is applied to a battery terminal, and the state of charge correction method includes: In response to the state of charge correction instruction, obtaining a first state of charge of the current battery; Based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery; Calculating a second open circuit voltage of the current battery based on the equivalent circuit model parameters; The first state of charge of the current battery is corrected based on the first open circuit voltage and the second open circuit voltage.

[0006] In one embodiment, in response to the state of charge correction instruction, obtaining the first state of charge of the current battery includes: In response to the state of charge correction instruction, obtaining the first battery parameter of the current battery; the first battery parameter includes the initial state of charge, the charge and discharge current, the charge and discharge time and the battery capacity; Based on the first battery parameter and the ampere-hour integration method, a first state of charge of the current battery is calculated.

[0007] In one embodiment, based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery includes: Obtaining a state of charge-open circuit voltage relationship table and a state of charge-equivalent circuit model parameter relationship table respectively; Based on the first state of charge, querying the state of charge-open circuit voltage relationship table to obtain a first open circuit voltage corresponding to the first state of charge; Based on the current battery temperature and the first state of charge, the state of charge-equivalent circuit model parameter relationship table is searched to obtain the equivalent circuit model parameters of the current battery.

[0008] In one embodiment, the correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage includes: calculating a voltage difference between the first open circuit voltage and the second open circuit voltage; If the absolute value of the voltage difference is greater than the preset voltage difference threshold, the first state of charge of the current battery is corrected so that the voltage difference is less than or equal to the preset voltage difference threshold.

[0009] In one embodiment, the correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage further includes: If the absolute value of the voltage difference is greater than the preset voltage difference threshold, and the battery temperature is within a preset temperature range, and the first state of charge is within a preset charge range, then the first state of charge of the current battery is corrected.

[0010] In one embodiment, after correcting the first state of charge of the current battery, the method further includes: Sending the battery operating condition data of the current battery within a preset time range to the cloud; the battery operating condition data includes battery voltage, battery temperature, charge and discharge current and health status; Receiving updated battery parameters sent by the cloud; the updated battery parameters are battery parameters calibrated based on fully charged and discharged battery operating condition data, including one or more of updated cloud model parameters, cloud pressure difference threshold, cloud temperature range, and cloud charge range; Based on the updated battery parameters, one or more of the equivalent circuit model parameters, the preset voltage difference threshold, the preset temperature range, and the preset charge range are updated.

[0011] In one embodiment, the correcting the first state of charge of the current battery includes: When the voltage difference is a positive value, determining a correction value of the first state of charge based on the first state of charge and a preset reduction ratio; When the voltage difference is a negative value, a correction value of the first state of charge is determined based on the first state of charge and a preset increase ratio.

[0012] In a second aspect, the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the above method when executing the computer program.

[0013] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method described above when executed by a processor.

[0014] In a fourth aspect, the present application provides a computer program product, which implements the method described above when executed by a processor.

[0015] The above-mentioned state of charge correction method, computer device, storage medium and program product obtain the first state of charge of the current battery by responding to the state of charge correction instruction; based on the first state of charge, look up the table to obtain the first open circuit voltage corresponding to the first state of charge and the equivalent circuit model parameters of the current battery; based on the equivalent circuit model parameters, calculate the second open circuit voltage of the current battery; based on the first open circuit voltage and the second open circuit voltage, correct the first state of charge of the current battery, that is, after the first state of charge is estimated by SOC, the equivalent circuit model parameters of the current battery are obtained by offline table lookup, and the open circuit voltage corresponding to the equivalent circuit model parameters and the open circuit voltage corresponding to the SOC estimation value are compared, without static measurement of the battery cell, to accurately check whether there is a deviation in the first state of charge and make a correction, thereby achieving the effect of improving the accuracy of SOC estimation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A diagram showing an application environment of a method for correcting a state of charge in an embodiment; Figure 2 is a schematic flow chart of a method for correcting a state of charge in one embodiment; Figure 3 is a flow chart of a method for correcting state of charge in another embodiment; Figure 4 A schematic diagram of voltage and current conditions of an HPPC test condition in one embodiment; Figure 5 A schematic diagram of the state of charge fitting of an HPPC test condition in one embodiment; Figure 6is a flow chart of a method for correcting state of charge in another embodiment; Figure 7 is a flow chart of a method for correcting state of charge in another embodiment; Figure 8 is a structural schematic diagram of an equivalent circuit model in an embodiment; Fig. 9 is a schematic diagram of an OCV curve in an embodiment; Fig.10 A schematic diagram of a result of state of charge correction in one embodiment; Fig.11 A schematic diagram of a translation file for correcting a model in an embodiment; Fig.12 A schematic diagram of cloud data interface and type settings in another embodiment; Fig.13 is a timing diagram of a full filling and discharging condition of a real vehicle in an embodiment; Fig.14 A schematic diagram of a result of combining cloud-based state of charge correction in one embodiment; Fig.15 A statistical diagram of cloud-based state of charge correction in one embodiment; Fig.16 is a structural block diagram of a charge state correction device in one embodiment; Fig.17 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] The charge state correction method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 responds to the state of charge correction instruction to obtain the first state of charge of the current battery; based on the first state of charge, the table is looked up to obtain the first open circuit voltage corresponding to the first state of charge, and the equivalent circuit model parameters of the current battery; based on the equivalent circuit model parameters, the second open circuit voltage of the current battery is calculated; based on the first open circuit voltage and the second open circuit voltage, the first state of charge of the current battery is corrected. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers and Internet of Things devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0019] In one embodiment, Figure 2 As shown, a charge state correction method is provided, which is applied to the battery terminal. Figure 1 The terminal 102 in the example is used as an example to illustrate, and the following steps are included: Step S100 , in response to a state of charge correction instruction, obtaining a first state of charge of the current battery.

[0020] Among them, the state of charge correction instruction can be a signal that requires adjustment or correction of the current state of charge of the battery. The state of charge correction instruction can be generated regularly to perform regular corrections on the current battery; it can also be generated when other components of the vehicle are abnormal, to determine whether the state of charge causes deviations in other components, or whether other components affect the calculation of the state of charge; it can also be generated based on user operations, and users can generate state of charge correction instructions through the interactive interface of a terminal or other device based on actual needs to correct the state of charge; the state of charge correction instruction can also be generated based on other trigger conditions, which are not limited in this embodiment.

[0021] The first state of charge may be a battery state of charge calculated according to an existing algorithm of the battery management system, which may be an SOC value before any correction, or an SOC value after one or more corrections. It is understandable that the state of charge correction method of this embodiment may be executed multiple times in the correction stage, and by re-correcting the SOC value after one or more corrections, the corrected SOC value may be closer to the actual value, thereby achieving the effect of improving the accuracy of SOC estimation.

[0022] The first state of charge of the current battery may be acquired through communication with a battery management system, or may be a state of charge obtained by real-time calculation in response to a state of charge correction instruction.

[0023] Step S200: Based on the first state of charge, a table is looked up to obtain a first open circuit voltage corresponding to the first state of charge and equivalent circuit model parameters of the current battery.

[0024] The table lookup refers to finding the value under specific conditions through a pre-established database or table. The open circuit voltage is the voltage across the battery under no-load conditions.

[0025] In this embodiment, the first open circuit voltage under the current battery state is searched through a pre-established mapping relationship table between the state of charge and the open circuit voltage (OCV). The first open circuit voltage is the open circuit voltage value corresponding to the first state of charge. If the first state of charge deviates, the first open circuit voltage obtained by looking up the table may also deviate from the actual value.

[0026] The equivalent circuit model is a model used to simplify the analysis of complex circuits. It can use a combination of ideal circuit elements such as resistors, capacitors, and inductors to approximate the dynamic characteristics inside the battery, making it easier to calculate and analyze.

[0027] The equivalent circuit model parameters of the current battery are obtained by looking up a table based on the first state of charge, and the equivalent circuit model parameters under the current state of the battery can be found through a pre-established mapping relationship table between the state of charge and the equivalent circuit model parameters. The mapping relationship between the equivalent circuit model parameters and the state of charge can be determined based on experimental data.

[0028] Step S300: calculating a second open circuit voltage of the current battery based on the equivalent circuit model parameters.

[0029] Among them, the open circuit voltage under the equivalent circuit model parameters can be calculated through the equivalent circuit model and the equivalent circuit model parameters. The second open circuit voltage is the open circuit voltage calculated by the equivalent circuit model. It can be understood that when there is a deviation in the first state of charge, the equivalent circuit model parameters obtained by offline table lookup may also have errors with the actual values. The open circuit voltage calculated by the equivalent circuit model parameters with errors can further amplify the deviation, thereby more accurately determining whether the current battery has a state of charge estimation deviation.

[0030] Step S400: correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage.

[0031] Among them, by comparing the first open circuit voltage and the second open circuit voltage, it can be inferred whether the estimated value of the first state of charge is accurate. If there is an obvious difference between the first open circuit voltage and the second open circuit voltage, it means that the first state of charge may not be accurate enough, so the first state of charge of the current battery needs to be corrected.

[0032] Furthermore, the first state of charge of the current battery is corrected by adjusting the first state of charge according to a preset ratio or a preset step value. Furthermore, after the adjustment, the second open circuit voltage can be obtained by looking up a table and calculating again according to the adjusted first state of charge to determine whether the adjusted first state of charge is accurate.

[0033] A state of charge correction method provided in the present embodiment obtains a first state of charge of a current battery in response to a state of charge correction instruction; based on the first state of charge, obtains a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery by looking up a table; based on the equivalent circuit model parameter, calculates a second open circuit voltage of the current battery; and based on the first open circuit voltage and the second open circuit voltage, corrects the first state of charge of the current battery, that is, after obtaining the first state of charge through SOC estimation, the equivalent circuit model parameter of the current battery is obtained by an offline table lookup, and the open circuit voltage corresponding to the equivalent circuit model parameter and the open circuit voltage corresponding to the SOC estimation value are compared, without static measurement of the battery cell, to accurately check and correct whether there is a deviation in the first state of charge, thereby achieving the effect of improving the accuracy of SOC estimation.

[0034] In one embodiment, in response to the state of charge correction instruction, obtaining the first state of charge of the current battery includes: In response to the state of charge correction instruction, obtaining a first battery parameter of the current battery; Based on the first battery parameter and the ampere-hour integration method, a first state of charge of the current battery is calculated.

[0035] The first battery parameters include initial state of charge, charge and discharge current, charge and discharge time, and battery capacity. The first battery parameters can be used to calculate the state of charge based on the ampere-hour integration method.

[0036] The ampere-hour integration method is a state-of-charge estimation algorithm that estimates the current state of charge of a battery by accumulating the current flowing through the battery during the charge and discharge process. The initial state of charge can be the state of charge of the battery at a specific time point, such as when a vehicle is started. The charge and discharge current can be the current passing through the battery during the charge and discharge process. The charge and discharge time can be the duration of the battery charge and discharge process, which can be the duration calculated from the initial state of charge as the starting time point. The battery capacity can be the maximum storage capacity of the battery.

[0037] The present embodiment provides a state of charge correction method, which can more accurately obtain the first state of charge of the current battery by calculating the first state of charge of the current battery based on the first battery parameter and the ampere-hour integration method, thereby achieving the effect of improving the accuracy of SOC estimation.

[0038] In one embodiment, based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery includes: Obtaining a state of charge-open circuit voltage relationship table and a state of charge-equivalent circuit model parameter relationship table respectively; Based on the first state of charge, querying the state of charge-open circuit voltage relationship table to obtain a first open circuit voltage corresponding to the first state of charge; Based on the current battery temperature and the first state of charge, the state of charge-equivalent circuit model parameter relationship table is searched to obtain the equivalent circuit model parameters of the current battery.

[0039] The state of charge-open circuit voltage relationship table may be a pre-stored data table, including the corresponding open circuit voltages OCV at different states of charge. The state of charge-open circuit voltage relationship table may be determined by experimental data and used to map the corresponding open circuit voltages at different states of charge.

[0040] The state of charge-equivalent circuit model parameter relationship table may be a pre-stored data table, including the equivalent circuit model parameters corresponding to different states of charge and temperatures. Exemplarily, the equivalent circuit model parameters may include DC internal resistance, polarization internal resistance, polarization capacitance, etc.

[0041] Based on the current battery temperature and the first state of charge, before querying in the state of charge-equivalent circuit model parameter relationship table to obtain the equivalent circuit model parameters of the current battery, real-time measurement can be performed by a temperature sensor installed near the battery to obtain the temperature information of the current battery.

[0042] A state of charge correction method provided in this embodiment can improve the accuracy of the deviation judgment result by obtaining the first open-circuit voltage through table lookup. The influence of temperature is taken into account when obtaining the equivalent circuit model parameters, which can make the model more in line with the actual working conditions, improve the accuracy of the deviation judgment result, and achieve the effect of improving the accuracy of SOC estimation.

[0043] In one embodiment, the correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage includes: calculating a voltage difference between the first open circuit voltage and the second open circuit voltage; If the absolute value of the voltage difference is greater than the preset voltage difference threshold, the first state of charge of the current battery is corrected so that the voltage difference is less than or equal to the preset voltage difference threshold.

[0044] The voltage difference is the difference between the first open circuit voltage and the second open circuit voltage. When the voltage difference is positive, the first open circuit voltage is greater than the second open circuit voltage; when the voltage difference is negative, the first open circuit voltage is less than the second open circuit voltage.

[0045] The preset voltage difference threshold may be a pre-set voltage difference threshold, which is used to determine whether a state of charge correction is required. The preset voltage difference threshold may be set when the battery leaves the factory, or may be set according to the cloud or the user. Furthermore, the preset voltage difference threshold may also be updated in real time based on the comprehensive data in the cloud to avoid incorrect correction of the state of charge. If the absolute value of the voltage difference is greater than the preset voltage difference threshold, it means that the calculation error of the current first state of charge is large, and the first state of charge of the current battery needs to be corrected so that the voltage difference is less than or equal to the preset voltage difference threshold.

[0046] A state of charge correction method provided in this embodiment can promptly discover and correct errors in state of charge estimation by comparing the difference between the first open-circuit voltage and the second open-circuit voltage, thereby avoiding inaccurate remaining mileage estimation due to error accumulation, making the corrected state of charge closer to the actual value, improving the reliability and stability of the battery management system, reducing the risk of vehicle breakdown, and achieving the effect of improving the accuracy of SOC estimation.

[0047] In one embodiment, before correcting the first state of charge of the current battery, it is also included to judge whether the battery temperature and the state of charge of the current battery meet the conditions, and the correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage also includes: If the absolute value of the voltage difference is greater than the preset voltage difference threshold, and the battery temperature is within a preset temperature range, and the first state of charge is within a preset charge range, then the first state of charge of the current battery is corrected.

[0048] Among them, the condition that the battery temperature is satisfied is that the battery temperature is within a preset temperature range. The preset temperature range can be set according to the normal operating temperature range of the battery, or it can be set accordingly according to the characteristics of the current battery. The condition that the state of charge is satisfied is that the first state of charge is within the preset charge range. It is understandable that the internal resistance consistency of the battery is poor under low temperature conditions. Therefore, when the battery temperature is at a low temperature, the equivalent circuit model parameters obtained using an offline table lookup may often deteriorate, resulting in a result that needs to be corrected for the first state of charge that does not require correction.

[0049] The present embodiment provides a state of charge correction method, which can effectively avoid erroneous correction caused by low battery temperature by taking whether the battery temperature and state of charge are within a preset range as a prerequisite for correction, thereby further achieving the effect of improving the accuracy of SOC estimation.

[0050] In one embodiment, after correcting the first state of charge of the current battery, the method further includes: Sending the battery operating condition data of the current battery within a preset time range to the cloud; Receiving updated battery parameters sent by the cloud; the updated battery parameters are battery parameters calibrated based on fully charged and discharged battery operating condition data, including one or more of updated cloud model parameters, cloud pressure difference threshold, cloud temperature range, and cloud charge range; Based on the updated battery parameters, one or more of the equivalent circuit model parameters, the preset voltage difference threshold, the preset temperature range, and the preset charge range are updated.

[0051] Among them, the battery operating condition data can be data obtained by collecting the operating condition of a single battery within a preset time range during the use of a single battery. For example, it can include data such as battery voltage, battery temperature, charge and discharge current, and health status in time series.

[0052] Sending the battery operating condition data of the current battery within a preset time range to the cloud can be done by translating the battery operating condition data collected locally according to the operating environment of the cloud server to obtain battery operating condition data suitable for direct calculation by the cloud server. Exemplarily, the local end can be developed using the Simulink tool in Matlab, while the cloud server runs in C language, and the battery operating condition data can be converted into units and numerical types that can be calculated by the cloud. Furthermore, when the state of charge correction method of this embodiment is executed in a correction model, the correction model can also be translated into C code, and the translated model code can be sent to the cloud server for calculation.

[0053] In this embodiment, the updated battery parameters in the cloud can be obtained by comprehensive calibration based on the operating data of the full-charge-and-discharge of the same type of battery. The full-charge-and-discharge calibration is a calibration method of fully filling and completely discharging the battery. The full-charge-and-discharge method can clearly determine the current battery capacity of the battery, so the SOC estimation result is relatively accurate. However, since most users are accustomed to controlling the battery's state of charge between 30% and 90% in actual use, most users are unable to calibrate the state of charge by full-charge-and-discharge. In this embodiment, the cloud server performs a comprehensive state of charge correction calculation on batteries of the same type, and can combine the battery operating data of full-charge-and-discharge to obtain more accurate equivalent circuit model parameters, pressure difference thresholds, temperature ranges, and charge ranges, thereby effectively avoiding the situation where the local end makes corrections based only on the data of a single battery, and the occurrence of erroneous corrections, thereby further improving the accuracy of SOC estimation.

[0054] The updated cloud model parameters are equivalent circuit model parameters based on comprehensive cloud calculations, which are used to update the equivalent circuit model parameters of the local end. Furthermore, the first state of charge-equivalent circuit model parameter relationship table of the local end can be updated. The cloud pressure difference threshold is a pressure difference threshold based on comprehensive cloud calculations, which is used to update the preset pressure difference threshold of the local end. The cloud temperature range is a temperature range based on comprehensive cloud calculations, which is used to update the preset temperature range of the local end. The cloud charge range is a state of charge range based on comprehensive cloud calculations, which is used to update the preset charge range of the local end.

[0055] After updating one or more of the equivalent circuit model parameters, the preset pressure difference threshold, the preset temperature range and the preset charge range based on the updated battery parameters, the charge state correction method in this embodiment can be re-executed based on the updated parameters to determine whether the current battery still needs to be corrected under the new parameters.

[0056] A state of charge correction method provided in this embodiment can obtain the latest battery parameters in real time through interaction with the cloud, ensuring that more accurate data is used to estimate and correct the state of charge; calibration based on fully charged and discharged battery operating condition data can more accurately reflect the actual state of the battery and reduce errors, thereby better adapting to battery aging and environmental changes, improving the performance and stability of the battery management system, and thus achieving the effect of improving the accuracy of SOC estimation.

[0057] In one embodiment, the correcting the first state of charge of the current battery includes: When the voltage difference is a positive value, determining a correction value of the first state of charge based on the first state of charge and a preset reduction ratio; When the voltage difference is a negative value, a correction value of the first state of charge is determined based on the first state of charge and a preset increase ratio.

[0058] The preset reduction ratio may be a preset ratio for reducing the state of charge value, and the preset increase ratio may be a preset ratio for increasing the state of charge value. The preset reduction ratio and the preset increase ratio may be determined based on experimental data, or may be determined based on a comprehensive calculation of cloud data, or may be determined based on user settings, which are not limited in this embodiment.

[0059] Based on the first state of charge and the preset reduction ratio, a correction value of the first state of charge is determined, which can be obtained by subtracting the preset reduction ratio from the first state of charge, or by multiplying the first state of charge by the preset reduction ratio to determine the required reduction value of the first state of charge.

[0060] Based on the first state of charge and the preset increase ratio, a correction value of the first charge state is determined, which can be obtained by adding the preset increase ratio to the first state of charge, or by multiplying the first state of charge by the preset increase ratio to determine the required increase value of the first state of charge.

[0061] A state of charge correction method provided in this embodiment performs numerical correction of the first state of charge by a preset reduction ratio and a preset increase ratio, so that the corrected SOC value can be closer to the actual value, thereby improving the reliability and stability of the battery management system, reducing the risk of vehicle breakdown, and achieving the effect of improving the accuracy of SOC estimation.

[0062] In order to more clearly illustrate the technical solution of the present application, the present application also provides a detailed embodiment.

[0063] After research, the inventor found that in the traditional technology, although the OCV calibration is relatively accurate, it requires a long time of standing, such as 3 hours at room temperature and 6 hours at low temperature, before the OCV curve can be checked. In addition, since the state of charge SOC of the lithium iron phosphate battery is higher than 30%, there is basically no gradient in the OCV curve, and there will be a large error in the reverse OCV curve. Therefore, the OCV calibration of the lithium iron phosphate battery can only be calibrated at a lower SOC value, such as between 0 and 30% SOC value. However, due to mileage anxiety, some users use the SOC range between 30%-90%, which may cause the battery to be unable to perform OCV calibration for a long time. For full charge and discharge calibration, the user needs to fully charge and empty the battery to calibrate, and most customers are accustomed to keeping the state of charge between 30% and 90%, so full charge or full discharge calibration cannot be triggered for a long time. The traditional technology also includes the calibration of the Kalman filter algorithm based on the model, but the Kalman filter has extremely high requirements for parameter calibration and model accuracy, and the equivalent circuit cannot actually accurately describe the battery characteristics, which often leads to the Kalman filter calibration being less controllable and prone to misrepair. To this end, this embodiment provides a method for correcting the state of charge, which can effectively solve the above-mentioned defects.

[0064] In one embodiment, Figure 3 As shown, a method for correcting a state of charge is provided, comprising: Preparation stage: Based on the HPPC test, the battery offline parameters DC internal resistance R0, first polarization internal resistance R1, second polarization internal resistance R2, first polarization capacitance C1 and second polarization capacitance C2 are obtained. Figure 4 The following are the HPPC operating data of the battery at different temperatures. The HPPC operating conditions are broken down according to SOC, as shown in the figure. Figure 5 As shown, the least square method is used for parameter fitting to obtain the battery parameters of different SOC intervals, namely, DC internal resistance R0, first polarization internal resistance R1, second polarization internal resistance R2, first polarization capacitance C1, and second polarization capacitance C2. In a specific embodiment, the offline internal resistance of the battery cell at different temperatures and SOCs is shown in Table 1.

[0065] Table 1 DC internal resistance R0 changes with temperature and SOC

[0066] Since online identification has certain solution risks, the identified DC internal resistance may suddenly increase sharply in some cases, and the controllability is poor. Therefore, in this embodiment, offline identification is used to obtain the equivalent circuit model parameters. The identified offline parameters meet the rule that the low temperature value is higher and the low SOC will also be higher. The identified DC internal resistance can be obtained based on the HPPC experimental test of 1 to 2 battery cells in the experimental data. Taking into account the influence of battery consistency, although the offline parameters are relatively accurate, they may not be applicable to all batteries, so batch data can also be used for simulation verification.

[0067] like Figure 6 and Figure 7 As shown, the operation phase includes: In this embodiment, the Figure 8 The second-order RC equivalent circuit model shown describes the battery, and the equivalent circuit model includes an open circuit voltage OCV, a terminal voltage Volt, a DC internal resistance R0, a first polarization internal resistance R1, a first polarization capacitor C1, a second polarization internal resistance R2, and a second polarization capacitor C2.

[0068] Step S1, obtain the current battery charge and discharge current Curr, calculate the current by the ampere-hour integration method through the charge and discharge current Curr, and obtain the first state of charge ModifySOC at the BMS end:

[0069] Wherein, k may be the kth moment, k+1 may be the k+1th moment, i(k) may be the charge and discharge current at the kth moment, Cr may be the maximum capacity of the battery, and t may be the charge and discharge time.

[0070] Step S2, obtain the equivalent circuit model parameters based on the first state of charge. The battery model parameters change with temperature and SOC. The offline parameter table is checked by the current temperature Temp and the first state of charge ModifySOC. The parameter can be obtained through experimental identification, and the parameter can describe the battery voltage change process. The parameter table is obtained based on the temperature and SOC table, including the DC internal resistance R0, the first polarization internal resistance R1, the second polarization internal resistance R2, the first polarization capacitor C1, and the second polarization capacitor C2.

[0071] Step S3, calculate and obtain the voltage-based FilterOCV based on the equivalent circuit model: Substitute the equivalent circuit model parameters into the battery equivalent circuit model to calculate the equivalent open circuit voltage ECMOCV of the battery in real time. The calculation process is as follows, and the second open circuit voltage FilterOCV is obtained by appropriate filtering. The calculation formula is as follows:

[0072] Among them, V(t) is the terminal voltage Volt, U1 is the first polarization voltage calculated by the R1 and C1 circuit, U2 is the second polarization voltage calculated by the R2 and C2 circuit, i(k) is the charge and discharge current at the kth moment, and R0 is the DC internal resistance.

[0073] The calculation formula of U1 is:

[0074] Among them, U1(k+1) is the first polarization voltage at the k+1th moment, R1 is the first polarization internal resistance, C1 is the first polarization capacitance, U1(k) is the first polarization voltage at the kth moment, t is the charge and discharge time, and i(k) is the charge and discharge current at the kth moment.

[0075] The calculation formula of U2 is:

[0076] Among them, U2(k+1) is the second polarization voltage at the k+1th moment, R2 is the second polarization internal resistance, C2 is the second polarization capacitance, U2(k) is the second polarization voltage at the kth moment, t is the charge and discharge time, and i(k) is the charge and discharge current at the kth moment.

[0077] Step S4, obtaining a first open circuit voltage ModifyOCV by looking up the OCV curve according to the first state of charge ModifySOC. Fig. 9 Shown is a curve relationship diagram of SOC and OCV.

[0078] Step S5, calculate the voltage difference DeltaOCV=ModifyOCV-FilterOCV: subtract the first open circuit voltage from the second open circuit voltage, the voltage difference DeltaOCV=ModifyOCV-FilterOCV, where the voltage difference DeltaOCV can describe the degree of deviation between the FilterOCV calculated based on the model and the ModifyOCV at the BMS end. It can be understood that since the lithium iron phosphate battery has a plateau period, the OCV can be checked by SOC. If the SOC is checked by OCV, a large error will be introduced. Therefore, the deviation degree is expressed by the voltage difference, which is more accurate when applied to lithium iron phosphate batteries than the state of charge difference.

[0079] Step S6: Determine whether to correct ModifySOC based on whether the voltage difference DeltaOCV exceeds the threshold. If the voltage difference DeltaOCV exceeds the preset threshold and lasts for a certain period of time, it indicates that there is a deviation in the current ModifySOC at the BMS end, and ModifySOC needs to be appropriately adjusted. The preset threshold can be calibrated through cloud data, experimental data, or user settings to avoid incorrect corrections. Exemplarily, when the voltage difference DeltaOCV > 50 mV, that is, the first open-circuit voltage ModifyOCV is too high, the first state of charge ModifySOC needs to be appropriately reduced; when the voltage difference DeltaOCV < -50 mV, that is, the first open-circuit voltage ModifyOCV is too low, the first state of charge ModifySOC needs to be appropriately increased. Further, due to the poor consistency of the internal resistance of the battery at low temperatures and the current use of offline parameters, the temperature and SOC can also be appropriately restricted. If the temperature meets the conditions, the SOC range meets the conditions, and Abs(DeltaOCV) is higher than the threshold for a certain period of time, then request to correct ModifySOC, otherwise do not correct ModifySOC.

[0080] The first state of charge ModifySOC at the BMS end can obtain the first open-circuit voltage ModifyOCV by looking up the OCV curve. A certain redundancy boundary can be set. The confidence interval of the second open-circuit voltage can be [ModifyOCV - DeltaThd, ModifyOCV + DeltaThd], where DeltaThd is the allowable open-circuit voltage deviation threshold. Further, when the second open-circuit voltage FilterOCV is within the confidence interval, it indicates that the current first state of charge ModifySOC is credible and does not need to be corrected. On the contrary, when the second open-circuit voltage FilterOCV > ModifyOCV + DeltaThd, the first state of charge ModifySOC needs to be increased; when the second open-circuit voltage FilterOCV < ModifyOCV - DeltaThd, the first state of charge ModifySOC needs to be decreased. Here, DeltaThd can be appropriately increased to ensure that when exceeding the boundary, there is indeed a certain deviation to ensure no incorrect correction.

[0081] Step S7: After multiple corrections of the first state of charge ModifySOC in Steps S1 to S6, the first open-circuit voltage ModifyOCV is appropriately adjusted until the voltage difference DeltaOCV is less than a certain threshold, and then the correction is stopped to form a closed loop. Raise the model SOC by 10%. When the voltage difference DeltaOCV of the battery pack operating condition exceeds a certain threshold, start correcting the first state of charge ModifySOC until the voltage difference DeltaOCV is lower than the threshold and stop the correction.

[0082] As Fig.10 As shown, the upper left curve is the ModifyOCV obtained after filtering the equivalent open circuit voltage ECMOCV; the lower left figure is the curve of DeltaOCV; the upper right figure is the curve relationship between the actual state of charge RealSOC and the SOC estimated value ModifySOC; the lower right figure is the difference curve between the estimated value and the actual value. The state of charge correction indicated by the circle reduces the offset of the estimated value.

[0083] Due to the consistency of the internal resistance of the battery itself and other reasons, identifying the internal resistance and setting related thresholds may not necessarily be applicable to all operating conditions and all vehicles. For example, due to the influence of aging factors, the internal resistance of the battery may also increase or decrease. The current internal resistance and temperature thresholds are not necessarily applicable to all vehicle batteries. Therefore, in this embodiment, cloud offline data can also be used for batch simulation verification. The cloud server will retain the offline data of all vehicle batteries in the past period of time. Because everyone has different car usage habits, the driving condition data will be richer than the laboratory condition data. By analyzing the condition data of all vehicles, the offline internal resistance, pressure difference threshold and temperature threshold can be optimized to ensure that all vehicles will not trigger false repairs.

[0084] Since the current model is developed using Simulink, it is not suitable for batch offline simulation. Fig.11 As shown, Matlab code generation tools can be used to convert Simulink development models into C code so that they can be directly operated on the cloud server. Furthermore, cloud data can be adjusted according to the interface type, and the input interface and input type can be specified, such as Fig.12 As shown, the unit and value type of the cloud offline data are converted so that it can be used for C code calculation.

[0085] Since the accumulated error of ampere-hour integration may cause the calculation of the state of charge on the vehicle side to deviate from the actual state of charge, the state of charge in the offline data stored in the cloud is not necessarily the actual state of charge of the battery. Therefore, it is necessary to conduct a preliminary selection of the cloud data and select the cloud offline data with accurate SOC based on the full charge calibration. For example, Fig.13 The figure shows the charging process of a physical vehicle on April 14, including the terminal voltage Volt timing diagram, the charge and discharge current Curr timing diagram, and the state of charge SOC timing diagram. When the voltage reaches the upper limit of 3.65V, it means that the current battery is fully charged, and the state of charge can be corrected to 100%. After full charge calibration, the cloud state of charge in the last 1-2 cycles after April 15 is relatively accurate, so the charge and discharge data of these cycles can also be used for cloud data verification.

[0086] If the working condition has been fully calibrated, the charge state in the cloud is relatively accurate. The initial value of the simulated charge state can be consistent with the initial value of the charge state in the cloud, and the charge state correction simulation of steps S1 to S6 in this embodiment is performed. If a deviation occurs, it means that the current internal resistance or threshold value cannot meet the driving condition of the vehicle, such as Fig.14 For example, the state of charge SOC starts to be incorrectly corrected downward at around 15000s. The main reason is that the relevant parameter settings are not reasonable and need to be optimized and adjusted.

[0087] Cloud offline data batch policy, optimization parameters and thresholds. Fig.15 As shown, more than 6000 actual vehicle working conditions are calculated, including working condition data after full charge calibration and accurate SOC, input voltage, current, temperature and other data for offline simulation of steps S1 to S6, using the DC internal resistance of the original parameters of the battery and the corresponding threshold parameters. In a specific embodiment, about 8% of the working conditions in the batch simulation will be misrepaired. After continuous iterative calculation and fitting, a set of relatively suitable updated battery parameters are obtained. After parameter adjustment, the working conditions with misrepair can be reduced to less than 1%.

[0088] The present embodiment provides a state of charge correction method, which obtains a first state of charge of a current battery in response to a state of charge correction instruction; obtains a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery by looking up a table based on the first state of charge; calculates a second open circuit voltage of the current battery based on the equivalent circuit model parameter; and corrects the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage, wherein after obtaining the first state of charge through SOC estimation, the equivalent circuit model parameter of the current battery is obtained through an offline table lookup, and the open circuit voltage corresponding to the equivalent circuit model parameter is compared with the SOC. The open circuit voltage corresponding to the C estimated value can accurately check and correct whether there is a deviation in the first state of charge without static measurement of the battery cell, thereby achieving the effect of improving the accuracy of SOC estimation; by calculating the first state of charge of the current battery based on the first battery parameter and the ampere-hour integration method, the first state of charge of the current battery can be obtained more accurately, which can achieve the effect of improving the accuracy of SOC estimation; the first open circuit voltage obtained by table lookup can improve the accuracy of the deviation judgment result, and taking into account the influence of temperature when obtaining the equivalent circuit model parameters can make the model more in line with actual working conditions, thereby improving the accuracy of the deviation judgment result. , which can achieve the effect of improving the accuracy of SOC estimation; by comparing the difference between the first open-circuit voltage and the second open-circuit voltage, the error in the state of charge estimation can be discovered and corrected in time, avoiding inaccurate remaining mileage estimation due to error accumulation, making the corrected state of charge closer to the actual value, improving the reliability and stability of the battery management system, reducing the risk of vehicle breakdown, and achieving the effect of improving the accuracy of SOC estimation; by taking whether the battery temperature and state of charge meet the preset range as the prerequisite for correction, it can effectively avoid the erroneous correction caused by low battery temperature, thereby further achieving the effect of improving the accuracy of SOC estimation; through interaction with the cloud , the latest battery parameters can be obtained in real time to ensure that more accurate data is used to estimate and correct the state of charge; calibration based on fully charged and discharged battery operating condition data can more accurately reflect the actual state of the battery and reduce errors, so that it can better adapt to battery aging and environmental changes, improve the performance and stability of the battery management system, and thus achieve the effect of improving the accuracy of SOC estimation; numerical correction of the first state of charge is performed by pre-setting a reduction ratio and a preset increase ratio, so that the corrected SOC value can be closer to the actual value, thereby improving the reliability and stability of the battery management system, reducing the risk of vehicle breakdown, and achieving the effect of improving the accuracy of SOC estimation.

[0089] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0090] Based on the same inventive concept, the embodiment of the present application also provides a state of charge correction device for implementing the state of charge correction method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the state of charge correction device provided below can refer to the limitations of the state of charge correction method above, and will not be repeated here.

[0091] In one embodiment, Fig.16 As shown, a state of charge correction device is provided, which is applied to a battery terminal, and includes: an acquisition module 100, a table lookup module 200, a calculation module 300 and a correction module 400, wherein: An acquisition module 100, configured to acquire a first state of charge of the current battery in response to a state of charge correction instruction; A table lookup module 200, configured to obtain, based on the first state of charge, a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery by looking up a table; A calculation module 300, configured to calculate a second open circuit voltage of the current battery based on an equivalent circuit model parameter; The correction module 400 is used to correct the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage.

[0092] In one embodiment, the acquisition module 100 is further used for: In response to the state of charge correction instruction, obtaining the first battery parameter of the current battery; the first battery parameter includes the initial state of charge, the charge and discharge current, the charge and discharge time and the battery capacity; Based on the first battery parameter and the ampere-hour integration method, a first state of charge of the current battery is calculated.

[0093] In one embodiment, the table lookup module 200 is further used for: Obtaining a state of charge-open circuit voltage relationship table and a state of charge-equivalent circuit model parameter relationship table respectively; Based on the first state of charge, querying the state of charge-open circuit voltage relationship table to obtain a first open circuit voltage corresponding to the first state of charge; Based on the current battery temperature and the first state of charge, the state of charge-equivalent circuit model parameter relationship table is searched to obtain the equivalent circuit model parameters of the current battery.

[0094] In one embodiment, the correction module 400 is further configured to: calculating a voltage difference between the first open circuit voltage and the second open circuit voltage; If the absolute value of the voltage difference is greater than the preset voltage difference threshold, the first state of charge of the current battery is corrected so that the voltage difference is less than or equal to the preset voltage difference threshold.

[0095] In one embodiment, the correction module 400 is further configured to: If the absolute value of the voltage difference is greater than the preset voltage difference threshold, and the battery temperature is within the preset temperature range, and the first state of charge is within the preset charge range, then the first state of charge of the current battery is corrected.

[0096] In one embodiment, the device further includes an updating module, configured to: Sending the battery operating condition data of the current battery within a preset time range to the cloud; the battery operating condition data includes battery voltage, battery temperature, charge and discharge current and health status; Receiving updated battery parameters sent by the cloud; the updated battery parameters are battery parameters calibrated based on fully charged and discharged battery operating condition data, including one or more of updated cloud model parameters, cloud pressure difference threshold, cloud temperature range, and cloud charge range; Based on the updated battery parameters, one or more of the equivalent circuit model parameters, the preset voltage difference threshold, the preset temperature range, and the preset charge range are updated.

[0097] In one embodiment, the correction module 400 is further configured to: When the voltage difference is a positive value, determining a correction value of the first state of charge based on the first state of charge and a preset reduction ratio; When the voltage difference is a negative value, a correction value of the first state of charge is determined based on the first state of charge and a preset increase ratio.

[0098] Each module in the above-mentioned charge state correction device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0099] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig.17 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store battery operating condition data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for correcting the state of charge is implemented.

[0100] Those skilled in the art will understand that Fig.17 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0101] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the state of charge correction method of any of the above embodiments is implemented: In response to the state of charge correction instruction, obtaining a first state of charge of the current battery; Based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery; Calculating a second open circuit voltage of the current battery based on the equivalent circuit model parameters; The first state of charge of the current battery is corrected based on the first open circuit voltage and the second open circuit voltage.

[0102] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for correcting the state of charge of any of the above embodiments is implemented: In response to the state of charge correction instruction, obtaining a first state of charge of the current battery; Based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery; Calculating a second open circuit voltage of the current battery based on the equivalent circuit model parameters; The first state of charge of the current battery is corrected based on the first open circuit voltage and the second open circuit voltage.

[0103] In one embodiment, a computer program product is provided, and when the computer program product is executed by a processor, the method for correcting the state of charge of any of the above embodiments is implemented: In response to the state of charge correction instruction, obtaining a first state of charge of the current battery; Based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery; Calculating a second open circuit voltage of the current battery based on the equivalent circuit model parameters; The first state of charge of the current battery is corrected based on the first open circuit voltage and the second open circuit voltage.

[0104] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0105] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0106] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for correcting a state of charge, characterized in that: Applied to the battery terminal, the state of charge correction method includes: In response to the state of charge correction instruction, obtaining a first state of charge of the current battery; Based on the first state of charge, looking up a table to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery; Calculating a second open circuit voltage of the current battery based on the equivalent circuit model parameters; The first state of charge of the current battery is corrected based on the first open circuit voltage and the second open circuit voltage.

2. The method for correcting the state of charge according to claim 1, characterized in that: In response to the state of charge correction instruction, obtaining the first state of charge of the current battery includes: In response to the state of charge correction instruction, obtaining the first battery parameter of the current battery; the first battery parameter includes the initial state of charge, the charge and discharge current, the charge and discharge time and the battery capacity; Based on the first battery parameter and the ampere-hour integration method, a first state of charge of the current battery is calculated.

3. The method for correcting the state of charge according to claim 1, characterized in that: The step of looking up a table based on the first state of charge to obtain a first open circuit voltage corresponding to the first state of charge and an equivalent circuit model parameter of the current battery includes: Obtaining a state of charge-open circuit voltage relationship table and a state of charge-equivalent circuit model parameter relationship table respectively; Based on the first state of charge, querying the state of charge-open circuit voltage relationship table to obtain a first open circuit voltage corresponding to the first state of charge; Based on the current battery temperature and the first state of charge, the state of charge-equivalent circuit model parameter relationship table is searched to obtain the equivalent circuit model parameters of the current battery.

4. The method for correcting the state of charge according to claim 1, characterized in that: The correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage includes: calculating a voltage difference between the first open circuit voltage and the second open circuit voltage; If the absolute value of the voltage difference is greater than the preset voltage difference threshold, the first state of charge of the current battery is corrected so that the voltage difference is less than or equal to the preset voltage difference threshold.

5. The method for correcting the state of charge according to claim 4, characterized in that: The correcting the first state of charge of the current battery based on the first open circuit voltage and the second open circuit voltage further includes: If the absolute value of the voltage difference is greater than the preset voltage difference threshold, and the battery temperature is within a preset temperature range, and the first state of charge is within a preset charge range, then the first state of charge of the current battery is corrected.

6. The method for correcting the state of charge according to claim 5, characterized in that: After the first state of charge of the current battery is corrected, the method further includes: Sending the battery operating condition data of the current battery within a preset time range to the cloud; the battery operating condition data includes battery voltage, battery temperature, charge and discharge current and health status; Receiving updated battery parameters sent by the cloud; the updated battery parameters are battery parameters calibrated based on fully charged and discharged battery operating condition data, including one or more of updated cloud model parameters, cloud pressure difference threshold, cloud temperature range, and cloud charge range; Based on the updated battery parameters, one or more of the equivalent circuit model parameters, the preset voltage difference threshold, the preset temperature range, and the preset charge range are updated.

7. The method for correcting the state of charge according to claim 4 or claim 5, characterized in that: The correcting the first state of charge of the current battery comprises: When the voltage difference is a positive value, determining a correction value of the first state of charge based on the first state of charge and a preset reduction ratio; When the voltage difference is a negative value, a correction value of the first state of charge is determined based on the first state of charge and a preset increase ratio.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer program product, characterized in that When the computer program product is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

Images