A power battery sop power control method and device

By acquiring real-time data from the power battery and estimating it using the least squares method, combined with the OCV curve table and the temperature-SOC table, the SOP power output of the power battery is precisely controlled, solving the undervoltage problem caused by SOC estimation errors in existing technologies, and improving vehicle safety and driving experience.

CN117360326BActive Publication Date: 2026-05-29GAC AION NEW ENERGY AUTOMOBILE CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GAC AION NEW ENERGY AUTOMOBILE CO LTD
Filing Date
2023-11-15
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing SOP power control methods for power batteries can lead to allowable power deviations due to SOC estimation errors, which can easily cause undervoltage faults. In particular, the polarization superposition effect is obvious under continuous rapid acceleration and deceleration conditions at low temperatures, affecting vehicle safety.

Method used

By acquiring the minimum single-cell voltage, real-time current, battery temperature, and polarization voltage saturation value of the power battery, the no-load voltage and polarization voltage are estimated using the least squares method. Combined with the OCV curve table and temperature-SOC table, the polarization state recovery threshold and power rebound rate are calculated to precisely control the SOP power output.

Benefits of technology

It enables precise control of the power battery during dynamic driving, avoiding poor power performance caused by undervoltage faults and power surges, thus improving vehicle safety and driving experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a power battery SOP power control method and device, the method comprises the following steps: obtaining the minimum single battery voltage value, real-time current value, battery minimum temperature value, current estimated SOC value, off-line test polarization voltage saturation value and battery temperature of a power battery; based on this, estimating the no-load voltage variable and polarization voltage value, and further determining the least square estimation SOC value and polarization state recovery threshold; determining the current SOP power initial value based on the calculation results, and calculating the current SOP power final value and power rebound rate; and then controlling the power battery SOP power output of the target vehicle according to the current SOP power final value and power rebound rate. It can be seen that the method and device can accurately control the SOP power through the dynamic voltage value, thereby avoiding the under-voltage problem caused by over-discharge, and improving the vehicle use safety.
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Description

Technical Field

[0001] This application relates to the field of vehicle control technology, and more specifically, to a power battery SOP power control method and device. Background Technology

[0002] Currently, existing power battery SOP power control mainly obtains the cell-level power capability through cell pulse excitation testing, and then performs calculations and corrections to obtain the PACK-level power MAP, primarily outputting the power through a lookup table based on temperature and SOC. However, in practice, it has been found that existing methods, when there are errors in SOC estimation, result in deviations in the allowable power obtained from the lookup table, leading to excessive discharge power and causing undervoltage faults. Furthermore, during continuous rapid acceleration and deceleration in power conditions, especially at low temperatures, the battery exhibits a polarization superposition effect, which can easily trigger undervoltage faults even if the power MAP limit is not exceeded. Therefore, existing methods have large errors in estimating the final output power, leading to deviations in power control, easily causing undervoltage faults, and affecting vehicle safety.

[0003] Current power battery power control methods primarily rely on discounting the allowable discharge power based on real-time dynamic voltage values ​​to limit usable power. When the voltage recovers during recharge, the allowable discharge power returns to the lookup table value. By controlling the SOP (Start-of-Pack) power through dynamic voltage values, undervoltage problems caused by over-discharge are avoided. Summary of the Invention

[0004] The purpose of this application is to provide a power battery SOP power control method and device, which can accurately control the SOP power through dynamic voltage value, thereby avoiding undervoltage problems caused by over-discharge and improving vehicle safety.

[0005] The first aspect of this application provides a power battery SOP power control method, including:

[0006] During the dynamic driving process of the target vehicle, the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value and battery temperature of the power battery are obtained.

[0007] When the power battery is in a charging and discharging state, the no-load voltage variable and polarization voltage value are estimated based on the minimum single-cell voltage value and the real-time current value.

[0008] Based on the no-load voltage variable and the preset OCV curve table, determine the least squares estimated SOC value;

[0009] Calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value;

[0010] The initial value of the current SOP power is determined based on the current estimated SOC value, the least squares estimated SOC value, the preset SOP power table based on temperature-SOC, and the battery temperature.

[0011] Calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power;

[0012] The power rebound rate is determined based on the polarization state recovery threshold, the rebound rate preset table based on temperature-polarization state, and the battery temperature.

[0013] The SOP power output of the target vehicle's power battery is controlled based on the current final SOP power value and the power rebound rate.

[0014] Further, estimating the no-load voltage variable and polarization voltage value based on the minimum single-cell voltage value and the real-time current value includes:

[0015] Based on the minimum unit voltage value and the real-time current value, the no-load voltage variable and polarization voltage estimate are estimated using the least squares method; wherein, the polarization voltage estimate includes short polarization voltage estimate and long polarization voltage estimate;

[0016] The polarization voltage value is calculated based on the estimated short polarization voltage and the estimated long polarization voltage.

[0017] Further, determining the least-squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table includes:

[0018] The unloaded voltage variable is subjected to sliding filtering to obtain the filtered voltage value;

[0019] Based on the preset OCV curve table and the filtered voltage value, the least squares estimated SOC value is determined.

[0020] Further, determining the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset temperature-SOC based SOP power table, and the battery temperature includes:

[0021] Calculate the SOC weighted value based on the current estimated SOC value and the least squares estimated SOC value;

[0022] The initial value of the current SOP power is determined based on the SOC weighted value, the SOP power preset table based on temperature-SOC, and the battery temperature.

[0023] Furthermore, the formula for calculating the SOC weighted value is as follows:

[0024] SOC fin = n*SOC1 + (1-n)*SOC Vse ;

[0025] Among them, SOC fin The SOC is a weighted value, where n is a preset weight, SOC1 is the current estimated SOC value, and SOC is the weighted value. Vse The SOC value is estimated using the least squares method.

[0026] Furthermore, the formula for calculating the polarization state recovery threshold is as follows:

[0027] P1 = V bun / V polV ;

[0028] Where P1 is the polarization state recovery threshold, V bun V is the polarization voltage value. polV The value is the polarization voltage saturation value for the offline test.

[0029] A second aspect of this application provides a power battery SOP power control device, the power battery SOP power control device comprising:

[0030] The acquisition unit is used to acquire the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value and battery temperature of the power battery during the dynamic driving process of the target vehicle.

[0031] The estimation unit is used to estimate the no-load voltage variable and polarization voltage value based on the minimum single-cell voltage value and the real-time current value when the power battery is in a charging and discharging condition.

[0032] The first determining unit is used to determine the least squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table.

[0033] The first calculation unit is used to calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value.

[0034] The second determining unit is used to determine the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset SOP power table based on temperature-SOC, and the battery temperature.

[0035] The second calculation unit is used to calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power.

[0036] The third determining unit is used to determine the power rebound rate based on the polarization state recovery threshold, the rebound rate preset table based on temperature-polarization state, and the battery temperature.

[0037] The control unit is used to control the SOP power output of the target vehicle's power battery based on the current SOP power final value and the power rebound rate.

[0038] Furthermore, the estimation unit includes:

[0039] An estimation subunit is used to estimate the no-load voltage variable and polarization voltage estimate using the least squares method based on the minimum single-cell voltage value and the real-time current value when the power battery is in a charging and discharging condition; wherein, the polarization voltage estimate includes a short polarization voltage estimate and a long polarization voltage estimate.

[0040] The first calculation subunit is used to calculate the polarization voltage value based on the estimated short polarization voltage value and the estimated long polarization voltage value.

[0041] Further, the first determining unit includes:

[0042] The filtering subunit is used to perform sliding filtering on the no-load voltage variable to obtain the filtered voltage value.

[0043] The first determining subunit is used to determine the least squares estimated SOC value based on the preset OCV curve table and the filtered voltage value.

[0044] Further, the second determining unit includes:

[0045] The second calculation subunit is used to calculate the SOC weighted value based on the current estimated SOC value and the least squares estimated SOC value;

[0046] The second determining subunit is used to determine the initial value of the current SOP power based on the SOC weighted value, the SOP power preset table based on temperature-SOC, and the battery temperature.

[0047] Furthermore, the formula for calculating the SOC weighted value is as follows:

[0048] SOC fin = n*SOC1 + (1-n)*SOC Vse ;

[0049] Among them, SOC fin The SOC is a weighted value, where n is a preset weight, SOC1 is the current estimated SOC value, and SOC is the weighted value. Vse The SOC value is estimated using the least squares method.

[0050] Furthermore, the formula for calculating the polarization state recovery threshold is as follows:

[0051] P1 = V bun / V polV ;

[0052] Where P1 is the polarization state recovery threshold, V bun V is the polarization voltage value. polV The value is the polarization voltage saturation value for the offline test.

[0053] A third aspect of this application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor runs the computer program to cause the electronic device to perform the power battery SOP power control method described in any one of the first aspects of this application.

[0054] The fourth aspect of this application provides a computer-readable storage medium storing computer program instructions, which, when read and executed by a processor, perform the power battery SOP power control method described in any one of the first aspects of this application.

[0055] The beneficial effects of this application are: during the dynamic driving process of EV vehicles, by monitoring the minimum single cell voltage value, real-time current value, and minimum temperature value of the power battery, the SOP power value and the power rebound rate can be reasonably determined and reported, thereby effectively controlling the SOP power output of the power battery, and thus avoiding undervoltage faults caused by excessive power and poor power performance caused by power fluctuations. Attached Figure Description

[0056] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 A schematic flowchart of a power battery SOP power control method provided in an embodiment of this application;

[0058] Figure 2 A schematic flowchart of another power battery SOP power control method provided in this application embodiment;

[0059] Figure 3 This is a schematic diagram of the structure of a power battery SOP power control device provided in an embodiment of this application;

[0060] Figure 4This is a schematic diagram of another power battery SOP power control device provided in an embodiment of this application;

[0061] Figure 5 This is a schematic diagram illustrating the workflow of a power battery SOP power control method provided in an embodiment of this application. Detailed Implementation

[0062] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0063] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0064] Example 1

[0065] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a power battery SOP power control method provided in this embodiment. The power battery SOP power control method includes:

[0066] S101. During the dynamic driving process of the target vehicle, acquire the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value, and battery temperature of the power battery.

[0067] S102. When the power battery is in the charging and discharging state, estimate the no-load voltage variable and polarization voltage value based on the minimum single cell voltage value and the real-time current value.

[0068] S103. Determine the least squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table.

[0069] S104. Calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value.

[0070] In this embodiment, the formula for calculating the polarization state recovery threshold is:

[0071] P1 = V bun / V polV ;

[0072] Where P1 is the polarization state recovery threshold, V bun V is the polarization voltage value. polV This is for offline testing of polarization voltage saturation values.

[0073] S105. Determine the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset temperature-SOC based SOP power table, and the battery temperature.

[0074] S106. Calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power.

[0075] S107. Determine the power rebound rate based on the polarization state recovery threshold, the temperature-polarization state-based rebound rate preset table, and the battery temperature.

[0076] S108. Control the SOP power output of the target vehicle's power battery based on the current final SOP power value and power rebound rate.

[0077] This implementation method allows for the estimation of the battery's polarization state and SOC state based on real-time voltage, current, and temperature values ​​using a least-squares algorithm. This enables more precise control of the rebound power value, avoiding undervoltage issues caused by excessive discharge power. Furthermore, by using a least-squares algorithm to estimate the battery's polarization state, the power rebound rate can be dynamically controlled, resulting in more reasonable and smoother allowable power changes and a better driving experience.

[0078] In this embodiment, the subject executing the method can be a computing device such as a computer or server, and no limitation is made in this embodiment.

[0079] In this embodiment, the subject executing the method can also be a smart device such as a smartphone or tablet, and no limitation is made in this embodiment.

[0080] As can be seen, by implementing the power battery SOP power control method described in this embodiment, the SOP power value and the power rebound rate can be reasonably determined and reported by monitoring the minimum single cell voltage value, real-time current value and minimum temperature value of the power battery during the dynamic driving process of the EV vehicle. This effectively controls the SOP power output of the power battery, thereby avoiding undervoltage faults caused by excessive power and poor power performance caused by power fluctuations.

[0081] Example 2

[0082] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating a power battery SOP power control method provided in this embodiment. The power battery SOP power control method includes:

[0083] S201. During the dynamic driving process of the target vehicle, acquire the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value, and battery temperature of the power battery.

[0084] In this embodiment, the minimum single-cell voltage of the power battery is U. cellmin The actual current value (real-time current value / real-time dynamic current) is I. Act The minimum battery temperature is T. min And the current estimated SOC value is SOC1, and the offline tested polarization voltage saturation value is V. polV .

[0085] S202. Based on the minimum unit voltage value and the real-time current value, the least squares method is used to estimate the no-load voltage variable and the polarization voltage estimate.

[0086] In this embodiment, the polarization voltage estimate includes a short polarization voltage estimate and a long polarization voltage estimate.

[0087] S203. Calculate the polarization voltage value based on the estimated short polarization voltage and the estimated long polarization voltage.

[0088] In this embodiment, the no-load voltage variable V is calculated based on the least squares method under charging and discharging conditions. se Estimate and perform polarization voltage V bun_short V bun_long Estimate and calculate the polarization voltage value V bun =V bun_short +V bun_long .

[0089] S204. Perform sliding filtering on the unloaded voltage variable to obtain the filtered voltage value.

[0090] S205. Based on the preset OCV curve table and the filtered voltage value, determine the least squares estimated SOC value.

[0091] In this embodiment, the estimated V se V is obtained by performing sliding filter processing. se_Fil By reverse OCV lookup Map Obtain the least squares estimated SOC value. Vse .

[0092] S206. Calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value.

[0093] In this embodiment, the formula for calculating the polarization state recovery threshold is:

[0094] P1 = V bun / V polV ;

[0095] Where P1 is the polarization state recovery threshold, V bun V is the polarization voltage value. polV This is for offline testing of polarization voltage saturation values.

[0096] S207. Calculate the weighted SOC value based on the current estimated SOC value and the least squares estimated SOC value.

[0097] In this embodiment, the formula for calculating the SOC weighted value is:

[0098] SOC fin = n*SOC1 + (1-n)*SOC Vse ;

[0099] Among them, SOC fin SOC is a weighted value for SOC, where n is the preset weight, SOC1 is the current estimated SOC value, and SOC is the weighted value for SOC. Vse The SOC value is estimated using least squares.

[0100] S208. Determine the initial value of the current SOP power based on the SOC weighted value, the SOP power preset table based on temperature-SOC, and the battery temperature.

[0101] S209. Calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power.

[0102] S210. Determine the power rebound rate based on the polarization state recovery threshold, the temperature-polarization state-based rebound rate preset table, and the battery temperature.

[0103] S211. Control the SOP power output of the target vehicle's power battery based on the current final SOP power value and power rebound rate.

[0104] In this embodiment, the method can look up the MAP table. T_SOC Get the current initial power value SOP inl , of which MAP T_SOC At the current temperature T min Weighted by SOC fin The axes are horizontal and vertical; the final output is the SOP power value superimposed with the polarization state SOP. fin =SOP inl *P1, and simultaneously the power rebound rate λ is obtained by looking up the table MAP. T_P1 We obtain, where MAP T_P1 At the current temperature T min The polarization state recovery threshold P1 is used as the horizontal and vertical axes.

[0105] Please refer to Figure 5 , Figure 5A schematic diagram illustrating an example of the workflow of a power battery SOP power control method is shown.

[0106] In this embodiment, the subject executing the method can be a computing device such as a computer or server, and no limitation is made in this embodiment.

[0107] In this embodiment, the subject executing the method can also be a smart device such as a smartphone or tablet, and no limitation is made in this embodiment.

[0108] As can be seen, by implementing the power battery SOP power control method described in this embodiment, the SOP power value and the power rebound rate can be reasonably determined and reported by monitoring the minimum single cell voltage value, real-time current value and minimum temperature value of the power battery during the dynamic driving process of the EV vehicle. This effectively controls the SOP power output of the power battery, thereby avoiding undervoltage faults caused by excessive power and poor power performance caused by power fluctuations.

[0109] Example 3

[0110] Please refer to Figure 3 , Figure 3 This is a schematic diagram of a power battery SOP power control device provided in this embodiment. Figure 3 As shown, the power battery SOP power control device includes:

[0111] The acquisition unit 310 is used to acquire the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value and battery temperature of the power battery during the dynamic driving process of the target vehicle.

[0112] The estimation unit 320 is used to estimate the no-load voltage variable and polarization voltage value based on the minimum single-cell voltage value and the real-time current value when the power battery is in the charging and discharging condition.

[0113] The first determining unit 330 is used to determine the least squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table.

[0114] The first calculation unit 340 is used to calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value.

[0115] The second determining unit 350 is used to determine the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset temperature-SOC based SOP power table and the battery temperature.

[0116] The second calculation unit 360 is used to calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power.

[0117] The third determining unit 370 is used to determine the power rebound rate based on the polarization state recovery threshold, the rebound rate preset table based on temperature-polarization state, and the battery temperature.

[0118] Control unit 380 is used to control the SOP power output of the target vehicle's power battery based on the current SOP power final value and power rebound rate.

[0119] In this embodiment, the explanation of the power battery SOP power control device can be referred to the description in Embodiment 1 or Embodiment 2, and will not be repeated here.

[0120] As can be seen, by implementing the power battery SOP power control device described in this embodiment, the SOP power value and the power rebound rate can be reasonably determined and reported by monitoring the minimum single cell voltage value, real-time current value and minimum temperature value of the power battery during the dynamic driving process of the EV vehicle. This effectively controls the SOP power output of the power battery, thereby avoiding undervoltage faults caused by excessive power and poor power performance caused by power fluctuations.

[0121] Example 4

[0122] Please refer to Figure 4 , Figure 4 This is a schematic diagram of a power battery SOP power control device provided in this embodiment. Figure 4 As shown, the power battery SOP power control device includes:

[0123] The acquisition unit 310 is used to acquire the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value and battery temperature of the power battery during the dynamic driving process of the target vehicle.

[0124] The estimation unit 320 is used to estimate the no-load voltage variable and polarization voltage value based on the minimum single-cell voltage value and the real-time current value when the power battery is in the charging and discharging condition.

[0125] The first determining unit 330 is used to determine the least squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table.

[0126] The first calculation unit 340 is used to calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value.

[0127] The second determining unit 350 is used to determine the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset temperature-SOC based SOP power table and the battery temperature.

[0128] The second calculation unit 360 is used to calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power.

[0129] The third determining unit 370 is used to determine the power rebound rate based on the polarization state recovery threshold, the rebound rate preset table based on temperature-polarization state, and the battery temperature.

[0130] Control unit 380 is used to control the SOP power output of the target vehicle's power battery based on the current SOP power final value and power rebound rate.

[0131] As an optional implementation, the estimation unit 320 includes:

[0132] The estimation subunit 321 is used to estimate the no-load voltage variable and polarization voltage estimate using the least squares method based on the minimum single-cell voltage value and the real-time current value when the power battery is in the charging and discharging condition; wherein, the polarization voltage estimate includes the short polarization voltage estimate and the long polarization voltage estimate.

[0133] The first calculation subunit 322 is used to calculate the polarization voltage value based on the short polarization voltage estimate and the long polarization voltage estimate.

[0134] As an optional implementation, the first determining unit 330 includes:

[0135] The filter subunit 331 is used to perform sliding filtering on the no-load voltage variable to obtain the filtered voltage value.

[0136] The first determining subunit 332 is used to determine the least squares estimated SOC value based on the preset OCV curve table and the filtered voltage value.

[0137] As an optional implementation, the second determining unit 350 includes:

[0138] The second calculation subunit 351 is used to calculate the SOC weighted value based on the current estimated SOC value and the least squares estimated SOC value;

[0139] The second determining subunit 352 is used to determine the initial value of the current SOP power based on the SOC weighted value, the SOP power preset table based on temperature-SOC, and the battery temperature.

[0140] In this embodiment, the formula for calculating the SOC weighted value is:

[0141] SOC fin = n*SOC1 + (1-n)*SOC Vse ;

[0142] Among them, SOCfin SOC is a weighted value for SOC, where n is the preset weight, SOC1 is the current estimated SOC value, and SOC is the weighted value for SOC. Vse The SOC value is estimated using least squares.

[0143] In this embodiment, the formula for calculating the polarization state recovery threshold is:

[0144] P1 = V bun / V polV ;

[0145] Where P1 is the polarization state recovery threshold, V bun V is the polarization voltage value. polV This is for offline testing of polarization voltage saturation values.

[0146] In this embodiment, the explanation of the power battery SOP power control device can be referred to the description in Embodiment 1 or Embodiment 2, and will not be repeated here.

[0147] As can be seen, by implementing the power battery SOP power control device described in this embodiment, the SOP power value and the power rebound rate can be reasonably determined and reported by monitoring the minimum single cell voltage value, real-time current value and minimum temperature value of the power battery during the dynamic driving process of the EV vehicle. This effectively controls the SOP power output of the power battery, thereby avoiding undervoltage faults caused by excessive power and poor power performance caused by power fluctuations.

[0148] This application provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to enable the electronic device to execute the power battery SOP power control method in embodiment 1 or embodiment 2 of this application.

[0149] This application provides a computer-readable storage medium storing computer program instructions. When the computer program instructions are read and executed by a processor, the power battery SOP power control method in embodiment 1 or embodiment 2 of this application is performed.

[0150] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0151] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0152] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0153] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0154] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0155] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A power battery SOP power control method, characterized in that, include: During the dynamic driving process of the target vehicle, the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value and battery temperature of the power battery are obtained. When the power battery is in a charging and discharging state, the no-load voltage variable and polarization voltage value are estimated based on the minimum single-cell voltage value and the real-time current value. Based on the no-load voltage variable and the preset OCV curve table, determine the least squares estimated SOC value; Calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value; The initial value of the current SOP power is determined based on the current estimated SOC value, the least squares estimated SOC value, the preset SOP power table based on temperature-SOC, and the battery temperature. Calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power; The power rebound rate is determined based on the polarization state recovery threshold, the rebound rate preset table based on temperature-polarization state, and the battery temperature. The SOP power output of the target vehicle's power battery is controlled based on the current final SOP power value and the power rebound rate. The step of estimating the no-load voltage variable and polarization voltage value based on the minimum single-cell voltage value and the real-time current value includes: Based on the minimum unit voltage value and the real-time current value, the no-load voltage variable and polarization voltage estimate are estimated using the least squares method; wherein, the polarization voltage estimate includes short polarization voltage estimate and long polarization voltage estimate; The polarization voltage value is calculated based on the estimated short polarization voltage and the estimated long polarization voltage. The step of determining the least squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table includes: The unloaded voltage variable is subjected to sliding filtering to obtain the filtered voltage value; Based on the preset OCV curve table and the filtered voltage value, the least squares estimated SOC value is determined; The step of determining the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset SOP power table based on temperature-SOC, and the battery temperature includes: Calculate the SOC weighted value based on the current estimated SOC value and the least squares estimated SOC value; The initial value of the current SOP power is determined based on the SOC weighted value, the SOP power preset table based on temperature-SOC, and the battery temperature. The formula for calculating the SOC weighted value is as follows: SOC fin =n*SOC1+(1-n)*SOC Vse ; Among them, SOC fin The SOC is a weighted value, where n is a preset weight, SOC1 is the current estimated SOC value, and SOC is the weighted value. Vse The SOC value is estimated using the least squares method.

2. The power battery SOP power control method according to claim 1, characterized in that, The formula for calculating the polarization state recovery threshold is as follows: P1=V bun / V polV ; Where P1 is the polarization state recovery threshold, V bun V is the polarization voltage value. polV The value is the polarization voltage saturation value for the offline test.

3. A power battery SOP power control device, characterized in that, The power battery SOP power control device includes: The acquisition unit is used to acquire the minimum single cell voltage value, real-time current value, minimum battery temperature value, current estimated SOC value, offline test polarization voltage saturation value and battery temperature of the power battery during the dynamic driving process of the target vehicle. The estimation unit is used to estimate the no-load voltage variable and polarization voltage value based on the minimum single-cell voltage value and the real-time current value when the power battery is in a charging and discharging condition. The first determining unit is used to determine the least squares estimated SOC value based on the no-load voltage variable and the preset OCV curve table. The first calculation unit is used to calculate the polarization state recovery threshold based on the polarization voltage value and the offline test polarization voltage saturation value. The second determining unit is used to determine the initial value of the current SOP power based on the current estimated SOC value, the least squares estimated SOC value, the preset SOP power table based on temperature-SOC, and the battery temperature. The second calculation unit is used to calculate the final value of the current SOP power based on the polarization state recovery threshold and the initial value of the current SOP power. The third determining unit is used to determine the power rebound rate based on the polarization state recovery threshold, the rebound rate preset table based on temperature-polarization state, and the battery temperature. The control unit is used to control the SOP power output of the power battery of the target vehicle according to the current SOP power final value and the power rebound rate; The estimation unit includes: An estimation subunit is used to estimate the no-load voltage variable and polarization voltage estimate using the least squares method based on the minimum single-cell voltage value and the real-time current value when the power battery is in a charging and discharging condition; wherein, the polarization voltage estimate includes a short polarization voltage estimate and a long polarization voltage estimate. The first calculation subunit is used to calculate the polarization voltage value based on the short polarization voltage estimate and the long polarization voltage estimate; The first determining unit includes: The filtering subunit is used to perform sliding filtering on the no-load voltage variable to obtain the filtered voltage value. The first determining subunit is used to determine the least squares estimated SOC value based on the preset OCV curve table and the filtered voltage value. The second determining unit includes: The second calculation subunit is used to calculate the SOC weighted value based on the current estimated SOC value and the least squares estimated SOC value; The second determining subunit is used to determine the initial value of the current SOP power based on the SOC weighted value, the SOP power preset table based on temperature-SOC and the battery temperature. The formula for calculating the SOC weighted value is as follows: SOC fin =n*SOC1+(1-n)*SOC Vse ; Among them, SOC fin The SOC is a weighted value, where n is a preset weight, SOC1 is the current estimated SOC value, and SOC is the weighted value. Vse The SOC value is estimated using the least squares method.

4. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and the processor runs the computer program to enable the electronic device to perform the power battery SOP power control method according to any one of claims 1 to 2.

5. A readable storage medium, characterized in that, The readable storage medium stores computer program instructions, which are read and executed by a processor to perform the power battery SOP power control method according to any one of claims 1 to 2.