Power battery SOC (State of Charge) estimation method, device and equipment and computer readable storage medium

Abstract

According to the power battery SOC estimation method, device and equipment and the computer readable storage medium, on the basis of SOC values under at least two power battery SOC estimation methods, the average value of the SOC values is calculated to serve as a benchmark reference, and on the basis of compensation values of the power battery SOC values calculated by the at least two power battery SOC estimation methods respectively, the power battery SOC values are calculated. And combining the compensation values and the average values of the SOC values of the power batteries in the at least two power battery SOC estimation methods, and finally outputting an optimized real-time SOC value. The average SOC value is combined with the compensation values of the power battery SOC values of the at least two power battery SOC estimation methods, the overall estimation precision is improved, the inherent deviation of a single method is corrected through the compensation values of the at least two SOC estimation methods, the systematic error of a single algorithm is reduced through multi-method fusion, and the overall estimation precision is improved. The problem that SOC value estimation is inaccurate in a traditional power battery electric quantity single estimation method is solved.

Description

Technical Field

[0001] This application relates to the field of new energy vehicles, and specifically relates to a method, device, equipment and computer-readable storage medium for estimating the state of charge (SOC) of a power battery. Background Art

[0002] As the "heart" of new energy vehicles, the power battery undertakes the core functions of storing and releasing electrical energy. Its performance directly affects the vehicle's cruising range, charging efficiency and safety, accounting for about 30% to 40% of the total vehicle cost. In the three-electric system (battery, motor, electronic control) of new energy vehicles, the power battery is the source of energy, providing electrical power input for the drive motor.

[0003] In the related art, it is necessary to estimate the percentage of the current remaining power of the power battery in the total capacity (abbreviation: "SOC") in real time for the power battery. However, the estimation of the power battery current is a difficult point in new energy vehicles, and there is a problem that the SOC value estimation is inaccurate in the traditional single-method for estimating the power of the power battery. Summary of the Invention

[0004] This application provides a method, device, equipment and computer-readable storage medium for estimating the SOC of a power battery, which can solve the technical problem that the SOC value estimation is inaccurate in the traditional single-method for estimating the power of the power battery in the related art.

[0005] In a first aspect, an embodiment of this application provides a method for estimating the SOC of a power battery, and the method for estimating the SOC of the power battery includes:

[0006] Calculating the real-time SOC value of the power battery based on the compensation values of the SOC values of the power battery calculated by at least two power battery SOC estimation methods respectively and the average SOC value of the power battery of the at least two power battery SOC estimation methods.

[0007] In combination with the first aspect, in an implementation manner, the compensation value of the SOC value of the power battery calculated based on at least two power battery SOC estimation methods respectively includes:

[0008] Calculating the compensation value of the SOC value of the power battery of the at least two power battery SOC estimation methods respectively based on the aggregation ratio of the SOC values of the power battery calculated by the at least two power battery SOC estimation methods respectively and the deviation of the SOC values of the power battery.

[0009] In combination with the first aspect, in an implementation manner, the aggregation ratio of the SOC values of the power battery calculated based on at least two power battery SOC estimation methods respectively includes:

[0010] Based on the proportion of the deviation of the SOC values of the power batteries calculated by each of the at least two power battery SOC estimation methods, calculate the convergence ratio of the SOC values of the power batteries for each of the at least two power battery SOC estimation methods.

[0011] Combined with the first aspect, in one implementation, the proportion of the deviation of the SOC values of the power batteries calculated by each of the at least two power battery SOC estimation methods includes:

[0012] Based on the deviation of the SOC values of the power batteries calculated by each of the at least two power battery SOC estimation methods, calculate the proportion of the deviation of the SOC values of the power batteries for each of the at least two power battery SOC estimation methods.

[0013] Combined with the first aspect, in one implementation, the deviation of the SOC values of the power batteries calculated by each of the at least two power battery SOC estimation methods includes:

[0014] Based on the SOC values calculated by each of the at least two power battery SOC estimation methods and the average SOC value of the power batteries of the at least two power battery SOC estimation methods, calculate the deviation of the SOC values of the power batteries for each of the at least two power battery SOC estimation methods.

[0015] Combined with the first aspect, in one implementation, the average SOC value of the power batteries of the at least two power battery SOC estimation methods includes:

[0016] Based on the SOC values estimated by at least two of the methods for estimating the SOC value of the power battery based on the total voltage, the method for estimating the SOC value of the power battery by integration, the method for estimating the SOC value of the power battery by Kalman filtering, and the method for estimating the SOC value of the power battery by internal resistance, calculate the average SOC value of the power batteries of the at least two estimation methods.

[0017] In a second aspect, an embodiment of the present application provides a power battery SOC estimation device, and the power battery SOC estimation device includes:

[0018] A power battery real-time SOC value calculation module, which is used to calculate the power battery real-time SOC value based on the compensation value of the SOC value of the power battery calculated by each of at least two power battery SOC estimation methods and the average SOC value of the power batteries of the at least two power battery SOC estimation methods.

[0019] Combined with the second aspect, in one implementation, the power battery SOC estimation device further includes:

[0020] The compensation value calculation module for the SOC value of the power battery is used to calculate the compensation value of the SOC value of the power battery for each of the at least two power battery SOC estimation methods based on the convergence ratio and the deviation of the SOC value of the power battery calculated by each of the at least two power battery SOC estimation methods.

[0021] In a third aspect, an embodiment of the present application provides a power battery SOC estimation device, which includes a processor, a memory, and a power battery SOC estimation program stored on the memory and executable by the processor. When the power battery SOC estimation program is executed by the processor, the steps of the power battery SOC estimation method described in some of the above embodiments are implemented.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a power battery SOC estimation program is stored. When the power battery SOC estimation program is executed by a processor, the steps of the power battery SOC estimation method described in some of the above embodiments are implemented.

[0023] The beneficial effects brought by the technical solutions provided in the embodiments of the present application include:

[0024] Based on the SOC values under at least two power battery SOC estimation methods, calculate their average value as a reference, and at the same time, based on the compensation values of the SOC values of the power battery calculated by each of the at least two power battery SOC estimation methods, combine the compensation values of the SOC values of the power battery of the at least two power battery SOC estimation methods with the average value, and finally output the optimized real-time SOC value. The combination of the average SOC value and the compensation values of the SOC values of the power battery of at least two power battery SOC estimation methods improves the overall estimation accuracy. The inherent deviation of a single method is corrected by the compensation values of at least two SOC estimation methods, and the systematic error of a single algorithm is reduced by the fusion of multiple methods, improving the problem of inaccurate SOC value estimation in the traditional single power estimation method of power batteries. Description of the Drawings

[0025] Figure 1 It is a schematic flowchart of an embodiment of the power battery SOC estimation method of the present application;

[0026] Figure 2 It is a schematic hardware structure diagram of the power battery SOC estimation device involved in the embodiment solution of the present application. Detailed Embodiments

[0027] To enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of this application.

[0028] As the "heart" of new energy vehicles, power batteries undertake the core functions of storing and releasing electrical energy. Their performance directly affects the vehicle's cruising range, charging efficiency, and safety, accounting for about 30% to 40% of the total vehicle cost. In the three-electric system (battery, motor, electronic control) of new energy vehicles, the power battery is the source of energy, providing electrical power input to the drive motor.

[0029] Among them, the power battery needs to estimate the current of the power battery in real time (abbreviated as "SOC"), but the estimation of the power battery current is a difficult point in new energy vehicles. There is a problem that the SOC value estimated by the traditional single method for estimating the power of the power battery is inaccurate.

[0030] To make the purpose, technical solution, and advantages of this application clearer, the following will further describe the embodiments of this application in detail with reference to the accompanying drawings.

[0031] In a first aspect, an embodiment of this application provides a method for estimating the SOC of a power battery.

[0032] In one embodiment, refer to Figure 1 , Figure 1 This is a schematic flowchart of the first embodiment of the method for estimating the SOC of the power battery in this application. As Figure 1 shown, the method for estimating the SOC of the power battery includes:

[0033] S100: Calculate the real-time SOC value of the power battery based on the compensation values of the SOC values of the power battery calculated by at least two power battery SOC estimation methods and the average SOC value of the power battery of the at least two power battery SOC estimation methods.

[0034] In this embodiment, based on the compensation values of the SOC values of the power battery calculated by at least two power battery SOC estimation methods, the compensation values of the SOC values of the power battery of at least two power battery SOC estimation methods are combined with the average value, and finally an optimized real-time SOC value is output. The average SOC value is combined with the compensation values of the SOC values of the power battery of at least two power battery SOC estimation methods to improve the overall estimation accuracy. The inherent deviation of a single method is corrected by the compensation values of at least two SOC estimation methods. The multi-method fusion reduces the systematic error of a single algorithm and improves the problem that the SOC value estimated by the traditional single method for estimating the power of the power battery is inaccurate.

[0035] Further, in one embodiment, in S100, the following steps are included:

[0036] S100-1: Calculate the compensation value of the power battery SOC value for each of the at least two power battery SOC estimation methods based on the convergence ratio and the deviation of the power battery SOC value calculated by each of the at least two power battery SOC estimation methods.

[0037] In this embodiment, the compensation value of the power battery SOC value for each method is calculated through the convergence ratio and the deviation of the power battery SOC value calculated by each method.

[0038] Further, in one embodiment, in S100-1, the following steps are included:

[0039] S100-1-1: Calculate the convergence ratio of the power battery SOC value for each of the at least two power battery SOC estimation methods based on the proportion of the deviation of the power battery SOC value calculated by each of the at least two power battery SOC estimation methods.

[0040] In this embodiment, the convergence ratio of the power battery SOC value for each method is calculated through the proportion of the deviation of the power battery SOC value calculated by each method, providing a calculation basis for calculating the compensation value of the power battery SOC value for each method.

[0041] Further, in one embodiment, in S100-1-1, the following steps are included:

[0042] S100-1-1-1: Calculate the proportion of the deviation of the power battery SOC value for each of the at least two power battery SOC estimation methods based on the deviation of the power battery SOC value calculated by each of the at least two power battery SOC estimation methods.

[0043] In this embodiment, the proportion of the deviation of the power battery SOC value for each method is calculated based on the deviation of the power battery SOC value calculated by each method.

[0044] Further, in one embodiment, in S100-1-1-1, the following steps are included:

[0045] S100-1-1-1-1: Calculate the deviation of the power battery SOC value for each of the at least two power battery SOC estimation methods based on the SOC value calculated by each of the at least two power battery SOC estimation methods and the average SOC value of the power batteries of the at least two power battery SOC estimation methods.

[0046] In this embodiment, by calculating the SOC values calculated by each method and the average SOC value of each method, the deviation of the power battery SOC value of each method is calculated, providing a calculation basis for the proportion of the deviation of the power battery SOC value of each method in the following steps.

[0047] Further, in one embodiment, in S100, the following steps are included:

[0048] S100-2: Based on the SOC values estimated by at least two of the methods for estimating the SOC value of the power battery based on the total voltage, the method for estimating the SOC value of the power battery by integral method, the method for estimating the SOC value of the power battery by Kalman filter, and the method for estimating the SOC value of the power battery by internal resistance, calculate the average SOC value of the power battery of the at least two estimation methods.

[0049] In this embodiment, the total voltage method has high accuracy under static conditions, but is affected by the polarization effect during dynamic operation; the integral method has strong real-time performance, but the cumulative error is significant; the Kalman filter suppresses noise, but depends on the model accuracy; the internal resistance method is sensitive to temperature, but can assist in calibrating the aging state. By integrating the results of the four SOC estimation methods (total voltage method, integral method, Kalman filter, internal resistance method) and utilizing their complementary characteristics, the systematic error of a single method is initially reduced. Arithmetic averaging can balance the advantages and disadvantages of each method to form a preliminary consensus value. Through the fusion of the results of multiple methods, the inherent errors of a single method (such as the cumulative error of the integral method and the temperature drift of the internal resistance method) are reduced. If the SOC estimation by the total voltage method is low due to low-temperature polarization and the SOC estimation by the integral method is high due to current sampling error, the errors are partially offset after averaging. Under complex working conditions (such as high-rate charge and discharge, temperature mutation), a single method may fail, but the average of multiple methods can maintain the estimation stability.

[0050] Further, in one embodiment, if the result of a certain method deviates significantly from the average value (such as the deviation exceeds the threshold), the abnormal detection mechanism can be triggered to temporarily eliminate unreliable inputs and improve the robustness of the system.

[0051] Further, in one embodiment, S100-2 and S100-1 have no sequential relationship.

[0052] On the other hand, the embodiments of the present application provide a method for estimating the SOC of a power battery, and the following complete description is made:

[0053] Step 1: Obtain the average SOC value of the power battery based on the SOC values estimated by three methods; wherein, the average SOC value of the power battery is equal to the sum of the SOC values estimated by the three methods divided by three. The calculation formula for the average SOC value of the power battery is:

[0054]

[0055] Where: SOC A—— Average SOC value estimated for the power battery; SOC1——SOC value of the power battery estimated based on the total voltage; SOC2——SOC value of the power battery estimated based on the integration method; SOC3——SOC value of the power battery estimated based on the Kalman filter or the SOC value of the power battery estimated based on the internal resistance.

[0056] Further, SOC1 is obtained by collecting the total voltage of the power battery through a voltage sensor according to the characteristic relationship between the total voltage of the power battery and the SOC value, and this characteristic relationship is obtained through bench tests; SOC2 is obtained by integrating the charging and discharging current collected by the power battery through a current sensor; SOC3 is obtained by the Kalman filter method; or the internal resistance of the power battery is obtained from the total voltage of the power battery and the magnitude of the charging and discharging current, and then obtained according to the characteristic relationship between the internal resistance of the power battery and the SOC value, and this characteristic relationship is obtained through bench tests.

[0057] Step 2: Obtain the SOC value deviation of the power battery in three ways based on the SOC values estimated in three ways and the average SOC value of the power battery; among them, the SOC value deviation of the power battery in three ways is equal to the SOC value estimated by the corresponding method minus the average SOC value of the power battery, and the calculation formula for the SOC value deviation of the power battery in three ways is:

[0058]

[0059] Among them: ΔSOC1——Deviation of the SOC value of the power battery estimated based on the total voltage; ΔSOC2——Deviation of the SOC value of the power battery estimated based on the integration method; ΔSOC3——Deviation of the SOC value of the power battery estimated based on the Kalman filter or deviation of the SOC value of the power battery estimated based on the internal resistance.

[0060] Step 3: Calculate the proportion of the SOC value deviation of the power battery in three ways based on the SOC value deviation of the power battery in three ways; among them, the proportion of the SOC value deviation of the power battery in three ways is equal to the absolute value of the SOC value deviation of its method divided by the sum of the absolute values of the SOC value deviations of the power battery in three ways, and the calculation formula for the proportion of the SOC value deviation of the power battery in three ways is:

[0061]

[0062] Among them: β1——Proportion of the deviation of the SOC value of the power battery estimated based on the total voltage; β2——Proportion of the deviation of the SOC value of the power battery estimated based on the integration method; β3——Proportion of the deviation of the SOC value of the power battery estimated based on the Kalman filter or proportion of the deviation of the SOC value of the power battery estimated based on the internal resistance.

[0063] It can be seen that β1 + β2 + β3 = 1.

[0064] Step 4: Calculate the SOC value convergence ratios of the power battery for the three methods based on the proportion of the SOC value deviation of the power battery for the three methods; among them, the larger the proportion of the SOC value deviation of the power battery for the three methods, the greater the deviation from the average SOC value estimated by the power battery, and the smaller the SOC value convergence ratio of the power battery for that method. The SOC value convergence ratio of the power battery for each method is equal to the quotient of the difference between 1 and the obtained value of the proportion of the SOC value deviation of the power battery for each method divided by 2. The calculation formula for the SOC value convergence ratio of the power battery for each method is:

[0065]

[0066] where: δ1——the deviation convergence ratio of the SOC value of the power battery estimated based on the total voltage; δ2——the convergence ratio of the SOC value of the power battery estimated based on the integration method; δ3——the convergence ratio of the SOC value of the power battery estimated based on the Kalman filter or the convergence ratio of the SOC value of the power battery estimated based on the internal resistance.

[0067] It can be seen that δ1 + δ2 + δ3 = 1.

[0068] Step 5: Calculate the compensation values of the SOC values of the power battery for the three methods based on the SOC value convergence ratios of the power battery for the three methods and the SOC value deviations of the power battery for the three methods; among them, the compensation value of the SOC value of the power battery for each method is equal to the product of the SOC value convergence ratio of the power battery for that method and the SOC value deviation of the power battery for that method. The calculation formula for the compensation value of the SOC value of the power battery for each method is:

[0069]

[0070] where: ΔSOCB1——the compensation value of the SOC value of the power battery estimated based on the total voltage; ΔSOCB2——the compensation value of the SOC value of the power battery estimated based on the integration method; ΔSOCB3——the compensation value of the SOC value of the power battery estimated based on the Kalman filter or the compensation value of the SOC value of the power battery estimated based on the internal resistance.

[0071] Step 6: Calculate the real-time SOC value of the power battery based on the compensation values of the SOC values of the power battery for the three methods and the average SOC value of the power battery. The real-time SOC value of the power battery is equal to the sum of the average SOC value of the power battery and the compensation values of the SOC values of the power battery for the three methods. The calculation formula for the real-time SOC value of the power battery is:

[0072] SOC = SOC A + ΔSOCB1 + ΔSOCB2 + ΔSOCB3

[0073] where: SOC——the real-time SOC value of the power battery.

[0074] On the other hand, an embodiment of the present application provides a method for estimating the SOC of a power battery, and the following complete description is given:

[0075] Step 1: Obtain the average SOC value of the power battery based on the SOC values estimated by four methods; among them, the average SOC value of the power battery is equal to the sum of the SOC values estimated by the four methods divided by four, and the calculation formula for the average SOC value of the power battery is:

[0076]

[0077] Where: SOC A —— The average SOC value estimated for the power battery; SOC1—— The SOC value of the power battery estimated based on the total voltage; SOC2—— The SOC value of the power battery estimated based on the integration method; SOC3—— The SOC value of the power battery estimated based on the Kalman filter; SOC4—— The SOC value of the power battery estimated based on the internal resistance.

[0078] Furthermore, SOC1 is obtained by collecting the total voltage of the power battery through a voltage sensor and according to the characteristic relationship between the total voltage of the power battery and the SOC value, and this characteristic relationship is obtained through bench tests; SOC2 is obtained by integrating the charging and discharging current collected by the power battery through a current sensor; SOC3 is obtained through the Kalman filter method; SOC4 is obtained by obtaining the internal resistance of the power battery from the total voltage and the magnitude of the charging and discharging current of the power battery, and then according to the characteristic relationship between the internal resistance of the power battery and the SOC value, and this characteristic relationship is obtained through bench tests.

[0079] Step 2: Obtain the SOC value deviation of the power battery for the four methods based on the SOC values estimated by the four methods and the average SOC value of the power battery; among them, the SOC value deviation of the power battery for the four methods is equal to the SOC value estimated by the corresponding method minus the average SOC value of the power battery, and the calculation formula for the SOC value deviation of the power battery for the four methods is:

[0080]

[0081] Where: ΔSOC1—— The deviation of the SOC value of the power battery estimated based on the total voltage; ΔSOC2—— The deviation of the SOC value of the power battery estimated based on the integration method; ΔSOC3—— The deviation of the SOC value of the power battery estimated based on the Kalman filter; ΔSOC4—— The deviation of the SOC value of the power battery estimated based on the internal resistance.

[0082] Step 3: Calculate the proportion of the SOC value deviation of the power battery for the four methods; among them, the proportion of the SOC value deviation of the power battery for the four methods is equal to the absolute value of the SOC value deviation of its method divided by the sum of the absolute values of the SOC value deviations of the four methods. The calculation formula for the proportion of the SOC value deviation of the power battery for the four methods is:

[0083]

[0084] Where: β1 - the proportion of the deviation of the SOC value of the power battery estimated based on the total voltage; β2 - the proportion of the deviation of the SOC value of the power battery estimated based on the integration method; β3 - the proportion of the deviation of the SOC value of the power battery estimated based on the Kalman filter; β4 - the proportion of the deviation of the SOC value of the power battery estimated based on the internal resistance.

[0085] It can be seen that β1 + β2 + β3 + β4 = 1.

[0086] Step 4: Calculate the convergence ratio of the SOC value of the power battery for the four methods based on the proportion of the SOC value deviation of the power battery for the four methods; among them, the larger the proportion of the SOC value deviation of the power battery for the four methods, the greater the deviation from the average SOC value estimated by the power battery, and the smaller the convergence ratio of the SOC value of its method. The convergence ratio of the SOC value of the power battery for each method is equal to the quotient of the difference between 1 and the proportion of the SOC value deviation of each method and 3. The calculation formula for the convergence ratio of the SOC value of the power battery for each method is:

[0087]

[0088] Where: δ1 - the convergence ratio of the deviation of the SOC value of the power battery estimated based on the total voltage; δ2 - the convergence ratio of the SOC value of the power battery estimated based on the integration method; δ3 - the convergence ratio of the SOC value of the power battery estimated based on the Kalman filter; δ4 - the convergence ratio of the SOC value of the power battery estimated based on the internal resistance.

[0089] It can be seen that δ1 + δ2 + δ3 + δ4 = 1.

[0090] Step 5: Calculate the compensation value of the SOC value of the power battery for the four methods based on the convergence ratio of the SOC value of the power battery for the four methods and the SOC value deviation of the power battery for the four methods; among them, the compensation value of the SOC value of the power battery for the four methods is equal to the product of the convergence ratio of the SOC value of its method and the SOC value deviation of its method. The calculation formula for the compensation value of the SOC value of the power battery for the four methods is:

[0091]

[0092] Where: ΔSOCB1——The compensation value of the SOC value of the power battery estimated based on the total voltage; ΔSOCB2——The compensation value of the SOC value of the power battery estimated based on the integration method; ΔSOCB3——The compensation value of the SOC value of the power battery estimated based on the Kalman filter; ΔSOCB4——The compensation value of the SOC value of the power battery estimated based on the internal resistance.

[0093] Step 6: Calculate the real-time SOC value of the power battery based on the compensation values of the SOC values of the power battery in four ways and the average SOC value of the power battery. The real-time SOC value of the power battery is equal to the sum of the average SOC value of the power battery and the compensation values of the SOC values of the power battery in four ways. The calculation formula for the real-time SOC value of the power battery is:

[0094] SOC = SOC A +ΔSOCB1 + ΔSOCB2 + ΔSOCB3 + ΔSOCB4

[0095] Where: SOC——The real-time SOC value of the power battery.

[0096] In summary, the power battery SOC estimation method in the embodiment of the present application is based on the SOC values under four power battery SOC estimation methods, calculates their average value as a reference, and at the same time, based on the compensation values of the SOC values of the power battery calculated by the four power battery SOC estimation methods respectively, combines the compensation values of the SOC values of the power battery of the four power battery SOC estimation methods with the average value, and finally outputs an optimized real-time SOC value. The combination of the average SOC value and the compensation values of the SOC values of the power battery of the four power battery SOC estimation methods improves the overall estimation accuracy. The inherent deviation of a single method is corrected by the compensation values of the four SOC estimation methods, and the systematic error of a single algorithm is reduced by the fusion of multiple methods, improving the problem of inaccurate SOC value estimation in the traditional single power battery power estimation method.

[0097] In the second aspect, the embodiment of the present application also provides a power battery SOC estimation device. The power battery SOC estimation device includes: a power battery real-time SOC value calculation module, which is used to calculate the real-time SOC value of the power battery based on the compensation values of the SOC values of the power battery calculated by at least two power battery SOC estimation methods respectively and the average SOC value of the power battery of the at least two power battery SOC estimation methods.

[0098] In this embodiment, the real-time SOC value calculation module of the power battery calculates the average value of the SOC values obtained by at least two power battery SOC estimation methods as the reference, and combines the compensation values of the power battery SOC values calculated by at least two power battery SOC estimation methods respectively. Finally, it outputs the optimized real-time SOC value. The combination of the average SOC value and the compensation values of the power battery SOC values calculated by at least two power battery SOC estimation methods improves the overall estimation accuracy. The inherent deviation of a single method is corrected by the compensation values of at least two SOC estimation methods. The multi-method fusion reduces the systematic error of a single algorithm and improves the problem of inaccurate SOC value estimation in the traditional single power battery power estimation method.

[0099] Further, in an embodiment, the power battery SOC estimation device further includes: a compensation value calculation module for the power battery SOC value, which is used to calculate the compensation values of the power battery SOC values of at least two power battery SOC estimation methods respectively based on the concentration ratios and deviations of the power battery SOC values calculated by the at least two power battery SOC estimation methods.

[0100] In this embodiment, the compensation value calculation module for the power battery SOC value calculates the compensation values of the power battery SOC values of at least two power battery SOC estimation methods respectively based on the concentration ratios and deviations of the power battery SOC values calculated by the at least two power battery SOC estimation methods, providing a calculation basis for calculating the real-time SOC value of the power battery.

[0101] Among them, the function implementation of each module in the above power battery SOC estimation device corresponds to each step in the above power battery SOC estimation method embodiment, and its function and implementation process will not be elaborated here one by one.

[0102] In a third aspect, an embodiment of the present application provides a power battery SOC estimation device, which can be a personal computer (PC), a laptop computer, a server, or other devices with data processing functions.

[0103] Refer to Figure 2 , Figure 2 which is a schematic diagram of the hardware structure of the power battery SOC estimation device involved in the embodiment of the present application. In the embodiment of the present application, the power battery SOC estimation device may include a processor, a memory, a communication interface, and a communication bus.

[0104] Among them, the communication bus can be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0105] The communication interface includes interfaces such as input / output (I / O) interfaces, physical interfaces, and logical interfaces for implementing the interconnection of components inside the power battery SOC estimation device, as well as interfaces for implementing the interconnection between the power battery SOC estimation device and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.

[0106] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical memory, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0107] The processor can be a general-purpose processor, which can call the power battery SOC estimation program stored in the memory and execute the power battery SOC estimation method provided in the embodiments of the present application. For example, the general-purpose processor can be a central processing unit (CPU). Among them, the method executed when the power battery SOC estimation program is called can refer to the various embodiments of the power battery SOC estimation method of the present application, which will not be elaborated here.

[0108] Those skilled in the art can understand that Figure 2 the hardware structure shown in does not constitute a limitation to the present application, and may include more or fewer components than shown, or combine some components, or have different component arrangements.

[0109] In a fourth aspect, the embodiments of the present application also provide a readable storage medium.

[0110] The readable storage medium of the present application stores a power battery SOC estimation program, and when the power battery SOC estimation program is executed by a processor, the steps of the power battery SOC estimation method as described above are implemented.

[0111] Among them, the method implemented when the power battery SOC estimation program is executed can refer to the various embodiments of the power battery SOC estimation method of the present application, which will not be elaborated here.

[0112] It should be noted that the serial numbers of the embodiments of the present application above are only for description and do not represent the superiority or inferiority of the embodiments.

[0113] The terms "including" and "having" and any variations thereof in the specification, claims and drawings of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices. The descriptions of "first", "second", "third", etc. are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit that "first", "second", and "third" are of different types.

[0114] In the description of the embodiments of the present application, "exemplary", "for example" or "for instance" are used to indicate examples, illustrations or explanations. Any embodiment or design solution described as "exemplary", "for example" or "for instance" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "for example" or "for instance" is intended to present relevant concepts in a specific manner.

[0115] In the description of the embodiments of the present application, unless otherwise specified, " / " means "or". For example, A / B may represent A or B; "and / or" in the text is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality of" means two or more than two.

[0116] In some processes described in the embodiments of the present application, there are multiple operations or steps that appear in a specific order. However, it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or may be executed in parallel. The serial numbers of the operations are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0117] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium as described above (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device to execute the methods described in various embodiments of the present application.

[0118] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A power battery SOC estimation method, characterized in that: The power battery SOC estimation method comprises: The real-time SOC value of the power battery is calculated based on the compensation values ​​of the SOC values ​​of the power battery calculated by the at least two power battery SOC estimation methods and the average SOC value of the power battery of the at least two power battery SOC estimation methods.

2. The power battery SOC estimation method according to claim 1, characterized in that: The compensation value of the power battery SOC value calculated based on at least two power battery SOC estimation methods respectively includes: Based on the power battery SOC value convergence ratio and the power battery SOC value deviation calculated by the at least two power battery SOC estimation methods respectively, a compensation value of the power battery SOC value of each of the at least two power battery SOC estimation methods is calculated.

3. The power battery SOC estimation method according to claim 2, characterized in that: The power battery SOC value convergence ratio calculated based on the at least two power battery SOC estimation methods includes: Based on the power battery SOC value deviation proportions calculated by the at least two power battery SOC estimation methods respectively, the power battery SOC value convergence ratios of the at least two power battery SOC estimation methods respectively are calculated.

4. The power battery SOC estimation method according to claim 3, characterized in that: The power battery SOC value deviation ratio calculated based on the at least two power battery SOC estimation methods respectively includes: Based on the power battery SOC value deviations calculated by the at least two power battery SOC estimation methods respectively, the power battery SOC value deviation ratios of the at least two power battery SOC estimation methods respectively are calculated.

5. The power battery SOC estimation method according to claim 4, characterized in that: The power battery SOC value deviation calculated based on the at least two power battery SOC estimation methods respectively includes: Based on the SOC values ​​calculated by the at least two power battery SOC estimation methods and the average SOC value of the power batteries of the at least two power battery SOC estimation methods, the power battery SOC value deviations of the at least two power battery SOC estimation methods are calculated.

6. The power battery SOC estimation method according to claim 1, characterized in that: The average SOC value of the power battery of the at least two power battery SOC estimation methods includes: Based on the SOC values ​​estimated by at least two estimation methods including the SOC value of the power battery estimated by total voltage, the SOC value of the power battery estimated by integration method, the SOC value of the power battery estimated by Kalman filtering, and the SOC value of the power battery estimated by internal resistance, the average SOC value of the power battery of the at least two estimation methods is calculated.

7. A power battery SOC estimation device, characterized in that: The power battery SOC estimation device comprises: The power battery real-time SOC value calculation module is used to calculate the power battery real-time SOC value based on the compensation value of the power battery SOC value calculated by at least two power battery SOC estimation methods and the average SOC value of the power battery of the at least two power battery SOC estimation methods.

8. The power battery SOC estimation device according to claim 7, characterized in that: The power battery SOC estimation device further includes: A power battery SOC value compensation value calculation module is used to calculate the compensation value of the power battery SOC value of each of the at least two power battery SOC estimation methods based on the power battery SOC value convergence ratio and the power battery SOC value deviation calculated by the at least two power battery SOC estimation methods respectively.

9. A power battery SOC estimation device, characterized in that: The power battery SOC estimation device includes a processor, a memory, and a power battery SOC estimation program stored in the memory and executable by the processor, wherein when the power battery SOC estimation program is executed by the processor, the steps of the power battery SOC estimation method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a power battery SOC estimation program, wherein when the power battery SOC estimation program is executed by a processor, the steps of the power battery SOC estimation method according to any one of claims 1 to 6 are implemented.

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