Power battery thermal management control method and device, electronic equipment, medium and product

Abstract

The invention discloses a power battery thermal management control method and device, electronic equipment, a medium and a product. The method comprises the following steps: acquiring a minimum monomer voltage value, a real-time dynamic current, a minimum temperature, a current electric quantity estimated value and a current polarization voltage of the power battery; according to the minimum single voltage value and the real-time dynamic current, calculating a least square estimated battery electric quantity value; calculating a current electric quantity estimation difference value according to the current electric quantity estimation value and the least square estimation battery electric quantity value; calculating a polarization state change rate according to the current polarization voltage and a pre-stored polarization voltage saturation value; if it is determined that the current power battery has a heating requirement according to the polarization state change rate, the lowest temperature of the power battery and the current electric quantity estimation difference value, heating control is conducted on the power battery. The method can solve the problems that the calibration work is heavy, the adaptability is poor, the heating response is not timely under the low-temperature and low-electric-quantity working condition, and the dynamic property of the whole vehicle is affected due to the fact that only a fixed temperature threshold value is relied on.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery management, in particular to a power battery thermal management control method and device, electronic equipment, readable storage medium and computer program product. BACKGROUND

[0002] To ensure the safety of battery use and prevent thermal runaway, the power battery of an electric vehicle needs to be maintained within a certain temperature range during charging and discharging, and high-temperature environment should be avoided to accelerate battery aging. Therefore, one of the key functions of the battery management system is to control the battery temperature, and cooling is started in time to reduce the battery temperature when the battery temperature exceeds the set threshold. At present, the existing technology usually adopts a control strategy based on a fixed temperature threshold, which compares the real-time collected minimum battery temperature with the preset opening threshold and closing threshold to determine whether to start or stop heating, so as to ensure that the battery works in the appropriate temperature range. However, this method only relies on a single dimension of temperature for judgment, and cannot accurately reflect the actual heating demand of the battery under different configurations and working conditions, resulting in the need for repeated calibration tests for different battery systems, low adaptation efficiency, and easy occurrence of heating response lag under low-temperature and low-power conditions, which affects the vehicle power performance and user experience. SUMMARY

[0003] In view of the above problems, the present application provides a power battery thermal management control method and device, electronic equipment, readable storage medium and computer program product, which can solve the problems of heavy calibration work, poor adaptability, and slow heating response under low-temperature and low-power working conditions, which affect the vehicle power performance.

[0004] In a first aspect, the present application provides a power battery thermal management control method, comprising: obtaining the minimum single cell voltage value, real-time dynamic current, minimum temperature of the power battery, current power estimation value, and current polarization voltage of the power battery; calculating a least squares estimated battery power value according to the minimum single cell voltage value and the real-time dynamic current; calculating a current power estimation difference value according to the current power estimation value and the least squares estimated battery power value; calculating a polarization state change rate according to the current polarization voltage and a pre-stored polarization voltage saturation value; when it is determined that the current power battery has a heating demand according to the polarization state change rate, the minimum temperature of the power battery and the current power estimation difference value, heating control is performed on the power battery.

[0005] In the technical solution, the method can comprehensively capture core state information such as battery voltage, current, temperature, power, polarization voltage, lay a data foundation for accurate heating demand judgment, and can improve the accuracy of power estimation by combining the quantitative analysis of voltage and dynamic current, avoid judgment errors caused by single parameter estimation deviation, and can intuitively reflect the deviation between the actual battery power state and the estimated value by comparing the double power estimation results, provide quantitative basis for heating demand judgment, and can accurately capture the dynamic change of the polarization degree of the battery based on the ratio analysis of the polarization voltage and the saturation value, accurately identify the potential heating demand under low temperature and low power, and avoid the adaptation limitations of fixed threshold values, realize timely response under low temperature and low power working conditions, and protect the vehicle power and user experience.

[0006] In some embodiments, the method further comprises: When the polarization state change rate is greater than the first polarization state threshold value, the minimum temperature of the power battery is less than the preset request heating temperature threshold value, and the current power estimation difference is less than the preset power difference threshold value, it is determined that the current power battery has heating demand, and the step of heating control of the power battery is performed.

[0007] In the technical solution, the method can accurately define the triggering scene of the heating demand by clearly quantifying the judgment conditions of multiple parameters, avoid false triggering or missed triggering, ensure the timeliness of the heating response under key working conditions such as low temperature and low power, and prevent unnecessary heating from causing energy waste.

[0008] In some embodiments, after the heating control of the power battery, the method further comprises: According to the preset polarization state threshold value hysteresis parameter and the first polarization state threshold value, a second polarization state threshold value is determined; When it is detected that the polarization state change rate is less than the second polarization state threshold value, it is detected that the minimum temperature of the power battery is greater than the preset exit heating temperature threshold value, and it is detected that the current power estimation difference is less than the preset power difference threshold value, the heating control of the power battery is stopped.

[0009] In the technical solution, the method can avoid frequent start-stop of heating control due to small fluctuations of parameters around the threshold value by setting the polarization state threshold value hysteresis and the stop heating judgment condition of multiple parameters, thereby reducing the energy consumption and component loss caused by frequent switching.

[0010] In some embodiments, the method of calculating the least square estimation battery power value according to the minimum single cell voltage value and the real-time dynamic current comprises: calculate a first no-load voltage variable estimation value according to the minimum single cell voltage value and the real-time dynamic current; perform sliding filtering processing on the first no-load voltage variable estimation value to obtain a second no-load voltage variable estimation value; determine a least square estimation battery power value according to a preset static voltage value and power value mapping table and the second no-load voltage variable estimation value.

[0011] In the technical solution, the method can suppress data fluctuation interference through sliding filtering, and can improve the stability and accuracy of the least square estimation power value by combining voltage and current collaborative calculation and preset mapping table matching.

[0012] In some embodiments, the calculation of the polarization state change rate according to the current polarization voltage and the pre-stored polarization voltage saturation value comprises: estimating a current polarization voltage value according to the current polarization voltage, a preset polarization time constant, and a last estimated historical polarization voltage; calculating a polarization state change rate according to the polarization voltage value and the pre-stored polarization voltage saturation value; The polarization voltage saturation value is obtained by pre-testing the power battery cell.

[0013] In the technical solution, the method can improve the accuracy and adaptability of the polarization state evaluation, and provide a quantitative basis for the heating demand judgment that fits the actual characteristics of the battery.

[0014] In a second aspect, the application provides a power battery thermal management control device, comprising: an acquisition unit configured to acquire a minimum single cell voltage value, a real-time dynamic current, a minimum temperature of a power battery, a current power estimation value, and a current polarization voltage of the power battery; a first calculation unit configured to calculate a least square estimation battery power value according to the minimum single cell voltage value and the real-time dynamic current; a second calculation unit configured to calculate a current power estimation difference value according to the current power estimation value and the least square estimation battery power value; a third calculation unit configured to calculate a polarization state change rate according to the current polarization voltage and a pre-stored polarization voltage saturation value; a first control unit configured to perform heating control on the power battery when it is determined that the power battery has a heating demand according to the polarization state change rate, the minimum temperature of the power battery, and the current power estimation difference value.

[0015] In the technical solution, the device can comprehensively capture core state information such as battery voltage, current, temperature, power, polarization voltage, lay a data foundation for accurate judgment of heating demand, can combine quantitative analysis of voltage and dynamic current to improve the accuracy of power estimation, avoid judgment errors caused by single parameter estimation deviation, can compare double power estimation results to intuitively reflect the deviation between the actual power state of the battery and the estimated value, provide quantitative basis for heating demand judgment, can accurately capture the dynamic change of the polarization degree of the battery based on the ratio analysis of polarization voltage and saturation value, accurately identify potential heating demand under low temperature and low power, and can comprehensively judge the polarization state, the minimum temperature, and the power difference to avoid the adaptation limitations of fixed thresholds, realize timely response under low temperature and low power conditions, and ensure vehicle power and user experience.

[0016] In a third aspect, the present application provides an electronic device, comprising a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the power battery thermal management control method in any one of the first aspect.

[0017] In a fourth aspect, the present application provides a readable storage medium, the readable storage medium stores a computer program, and the computer program is run by a processor to execute the power battery thermal management control method in any one of the first aspect.

[0018] In a fifth aspect, the present application provides a computer program product, the computer program product comprises a computer program, and the computer program is run by a processor to execute the power battery thermal management control method in any one of the first aspect.

[0019] The beneficial effects of the present application are: during the dynamic driving process of the EV vehicle, the dynamic identification of the heating demand can be realized by monitoring the power battery monomer voltage, real-time current and real-time temperature. At the same time, it can also be compatible with different power battery configurations. Moreover, it can also avoid the problems of poor power experience and accelerated battery degradation rate caused by unreasonable thermal management control in the whole life cycle. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0021] Figure 1 It is a flowchart of the power battery thermal management control method in some embodiments of the present application. Figure 2 A flowchart of a power battery thermal management control method in some embodiments of the present application; Figure 3 A logic flowchart of a power battery thermal management control in some embodiments of the present application; Figure 4 A structure diagram of a power battery thermal management control device in some embodiments of the present application; Figure 5 A structure diagram of an electronic device in some embodiments of the present application. DETAILED DESCRIPTION

[0022] The embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above description of drawings are intended to cover non-exclusive inclusion.

[0024] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more (including two), and similarly, "a plurality of groups" means two or more groups (including two groups), and "a plurality of pieces" means two or more pieces (including two pieces) unless otherwise explicitly and specifically limited.

[0025] In this paper, the phrase "embodiment" means that the specific features, structures or properties described in conjunction with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily mean the same embodiment, nor is it an independent or alternative embodiment to other embodiments. The skilled person in the art explicitly and implicitly understands that the embodiments described herein can be combined with other embodiments.

[0026] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. In addition, the character " / " in this paper generally represents a "or" relationship between the front and rear associated objects.

[0027] The existing thermal management control method usually adopts a fixed temperature threshold for thermal management control, but this method usually cannot be compatible with different power battery configurations and needs to be repeatedly calibrated and matched. Meanwhile, this method can only judge the heating demand based on a single dimension of temperature, so it is difficult to fully represent the actual demand of the battery. In addition, it does not consider the thermal management adaptation problem of the whole life cycle of the power battery, resulting in poor power experience at low temperature and low power, accelerated battery degradation rate, and even affecting the driving safety of the whole vehicle.

[0028] To solve the above technical problems, the embodiments of the present application provide a power battery thermal management control method. The method estimates the polarization state of the power battery by introducing the least square method, and dynamically judges the heating on and off threshold in combination with the cumulative polarization state change rate, temperature and SOC in multiple dimensions, so that the method can be compatible with different power battery configurations, improve the calibration efficiency, and also make the thermal management control more reasonable and accurate, so that it can be applied to the thermal management control of the whole life cycle of the power battery.

[0029] As shown in Figure 1 Some embodiments of the present application provide a power battery thermal management control method, which comprises: S101, obtaining the minimum single cell voltage value, real-time dynamic current, minimum temperature of the power battery, current power estimation value and current polarization voltage of the power battery; S102, calculating the least square estimated battery power value according to the minimum single cell voltage value and the real-time dynamic current; S103, calculating the current power estimation difference value according to the current power estimation value and the least square estimated battery power value; S104, calculating the polarization state change rate according to the current polarization voltage and the pre-stored polarization voltage saturation value; S105, when it is determined that the current power battery has heating demand according to the polarization state change rate, the minimum temperature of the power battery and the current power estimation difference value, heating control is performed on the power battery.

[0030] In some embodiments, the minimum single cell voltage value refers to the voltage measurement value corresponding to the cell with the lowest voltage among all single cell batteries of the power battery.

[0031] In some embodiments, the real-time dynamic current refers to the current instantaneous value collected in real time during the charging and discharging process of the power battery with the change of the working condition.

[0032] In some embodiments, the minimum temperature of the power battery refers to the minimum value in all temperature data collected by the temperature sensor under the current working condition of the power battery pack.

[0033] In some embodiments, the current state of charge estimation value refers to a current remaining power battery state of charge (SOC) value estimated in real time by a battery management system (BMS) existing algorithm.

[0034] In some embodiments, the current polarization voltage refers to a transient voltage difference value generated by the power battery during charging and discharging due to electrochemical reaction polarization, concentration polarization, etc.

[0035] In some embodiments, the least square estimation battery state of charge value refers to a power battery state of charge estimation value obtained by fitting calculation based on the least square method principle in combination with the minimum single cell voltage value and real-time dynamic current.

[0036] In some embodiments, the current state of charge estimation difference value refers to a numerical difference between the current state of charge estimation value and the least square estimation battery state of charge value.

[0037] In some embodiments, the polarization voltage saturation value refers to a maximum limit value that the polarization voltage of the type of power battery can reach, which is determined by pre-testing the power battery.

[0038] In some embodiments, the polarization state change rate refers to a ratio of the current polarization voltage to the pre-stored polarization voltage saturation value, which is used as a quantitative index to represent the current polarization degree of the power battery.

[0039] In some embodiments, the heating requirement refers to a heating operation requirement required by the power battery to maintain a suitable working state based on the polarization state change rate, the minimum temperature of the power battery, and the current state of charge estimation difference value.

[0040] In the above embodiments, the method can comprehensively capture core state information such as battery voltage, current, temperature, state of charge, polarization voltage, etc., lay a data foundation for accurate judgment of heating requirements; can also improve the accuracy of state of charge estimation by combining quantitative analysis of voltage and dynamic current, and avoid judgment errors caused by single parameter estimation deviation; can also intuitively reflect the deviation between the actual state of charge of the battery and the estimation value by comparing the double state of charge estimation results, and provide quantitative basis for heating requirement judgment; can also accurately capture the dynamic change of the polarization degree of the battery based on the ratio analysis of the polarization voltage and the saturation value, accurately identify the potential heating requirement under low temperature and low state of charge, and avoid the adaptation limitations of fixed threshold values to realize timely response under low temperature and low state of charge conditions, and guarantee the power performance of the vehicle and user experience.

[0041] In some embodiments, the method further comprises: When the polarization state change rate is greater than the first polarization state threshold, the minimum temperature of the power battery is less than the preset request heating temperature threshold, and the current power estimation difference is less than the preset power difference threshold, it is determined that the current power battery has heating demand, and the step of performing heating control on the power battery is executed.

[0042] For example, when the polarization state change rate β > K, the minimum temperature of the battery T < T1, and |Soc0-SOC Vse | < δ, it is considered that the current power battery has heating demand, and request heating is sent. Wherein, δ is the SOC difference threshold (the preset power difference threshold), which is used to ensure the accuracy of the estimated SOC Vse and the polarization voltage Vpol value. When |Soc0-SOC Vse | < δ is used as a judgment condition to constrain; SOC0 is the current SOC estimation value; SOC Vse is the least square estimation SOC value; K is the polarization state threshold (the first polarization state threshold); T1 is the request heating temperature threshold.

[0043] In the above embodiment, the method can accurately define the triggering scene of the heating demand by using the quantitative judgment condition of multiple parameters, avoid false triggering or missed triggering, ensure the timeliness of the heating response under the key working conditions of low temperature and low power, and prevent unnecessary heating from causing energy waste.

[0044] In some embodiments, after the power battery is controlled to heat, the method further comprises: determining a second polarization state threshold according to the preset polarization state threshold hysteresis parameter and the first polarization state threshold; When it is detected that the polarization state change rate is less than the second polarization state threshold, it is detected that the minimum temperature of the power battery is greater than the preset exit heating temperature threshold, and it is detected that the current power estimation difference is less than the preset power difference threshold, the heating control on the power battery is stopped.

[0045] For example, when the polarization state change rate β < K-y, the minimum temperature of the battery T > T2, and |Soc0-SOC Vse | < δ, it is considered that the current power battery has no heating demand, and the heating is exited. Wherein, δ is the SOC difference threshold; SOC0 is the current SOC estimation value; SOC Vse is the least square estimation SOC value; K is the polarization state threshold (the first polarization state threshold); y is a polarization state threshold hysteresis parameter; T2 is an exit heating temperature threshold; The second polarization state threshold is K-y (determined according to the preset polarization state threshold hysteresis parameter y and the first polarization state threshold K).

[0046] In the above embodiment, the method can avoid frequent start-stop of heating control due to small fluctuations of parameters near the threshold by setting the polarization state threshold hysteresis and the multi-parameter cooperative stop heating judgment condition, thereby reducing energy consumption loss and component loss caused by frequent switching.

[0047] In some embodiments, the least square estimated battery capacity value is calculated according to the minimum single cell voltage value and the real-time dynamic current, including: The first no-load voltage variable estimated value is calculated according to the minimum single cell voltage value and the real-time dynamic current; The first no-load voltage variable estimated value is subjected to sliding filter processing to obtain a second no-load voltage variable estimated value; The least square estimated battery capacity value is determined according to the preset static voltage value and capacity value mapping table and the second no-load voltage variable estimated value.

[0048] For example, based on the above sampling values (minimum single cell voltage value U cell , actual dynamic current I Act ), the least square algorithm is introduced to estimate the no-load voltage variable V se (the first no-load voltage variable estimated value), and the calculation formula is: ; Wherein, I is I Act , i.e. the real-time dynamic current; U is U cell , i.e. the minimum single cell voltage value; 60 is a fixed coefficient in the formula.

[0049] In some embodiments, the estimated V se is subjected to sliding filter processing to obtain a second no-load voltage variable estimated value; then, the least square estimated SOC value SOC Map (the preset static voltage value and capacity value mapping table) is obtained to obtain the least square estimated SOC value SOC Vse (the least square estimated battery capacity value).

[0050] In the above embodiment, the method can suppress data fluctuation interference by sliding filter, and at the same time, the voltage and current are cooperatively calculated and matched with the preset mapping table, so as to improve the stability and accuracy of the least square estimated capacity value.

[0051] In some embodiments, the polarization state change rate is calculated based on the current polarization voltage and a pre-stored polarization voltage saturation value, including: Estimate the current polarization voltage value based on the current polarization voltage, the preset polarization time constant, and the previously estimated historical polarization voltage; Calculate the rate of change of polarization state based on the polarization voltage value and the pre-stored polarization voltage saturation value; The polarization voltage saturation value is obtained by conducting pre-testing of the power battery cells.

[0052] For example, the formula for estimating the polarization voltage value is as follows: ; Wherein, Vpol(K) is the latest polarization voltage (the current polarization voltage value). Vpol(K-1) is the polarization voltage calculated last time (the historical polarization voltage estimated last time). RC is the polarization time constant of the battery (the preset polarization time constant).

[0053] For example, this method can calculate the rate of change of polarization state based on the polarization voltage value Vpol and the polarization voltage saturation value Vp, where the polarization voltage saturation value Vp can be obtained from cell test data (the power battery has been tested in advance).

[0054] The formula for calculating the rate of change of polarization state β is: β = d(P) / d(t); Where P=Vpol / Vp represents the polarization saturation, and β is the rate of change of polarization state, representing the current trend of the battery polarization state.

[0055] In the above embodiments, this method can improve the accuracy and adaptability of polarization state assessment, and provide a quantitative basis that fits the actual characteristics of the battery for judging heating requirements.

[0056] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below. In some embodiments, such as Figure 2 As shown, the power battery thermal management control method includes: S201. Obtain the minimum single-cell voltage value, real-time dynamic current, minimum temperature of the power battery, current estimated power capacity, and current polarization voltage of the power battery. S202. Calculate the estimated value of the first no-load voltage variable based on the minimum unit voltage value and the real-time dynamic current. S203. Perform sliding filtering on the first no-load voltage variable estimate to obtain the second no-load voltage variable estimate. S204, determining a least square estimated battery power value according to the preset static voltage value and power value mapping table and the second no-load voltage variable estimation value; S205, calculating a current power estimation difference value according to the current power estimation value and the least square estimated battery power value; S206, estimating a current polarization voltage value according to the current polarization voltage, the preset polarization time constant and the last estimated historical polarization voltage; S207, calculating a polarization state change rate according to the polarization voltage value and the pre-stored polarization voltage saturation value; S208, determining that the current power battery has a heating demand when the polarization state change rate is greater than a first polarization state threshold, the power battery minimum temperature is less than a preset request heating temperature threshold, and the current power estimation difference value is less than a preset power difference threshold; S209, performing heating control on the power battery; S210, determining a second polarization state threshold according to the preset polarization state threshold hysteresis parameter and the first polarization state threshold; S211, stopping the heating control on the power battery when it is detected that the polarization state change rate is less than the second polarization state threshold, it is detected that the power battery minimum temperature is greater than a preset exit heating temperature threshold, and it is detected that the current power estimation difference value is less than the preset power difference threshold.

[0057] Exemplary, Figure 3 A logic flow chart of power battery thermal management control is shown. Wherein, the logic flow can be divided into four logic layers: (1) Input layer Receive the minimum monomer voltage (Ucell) of the power battery, the real-time dynamic current (Iact), the current power estimation value (Soc0), the minimum temperature (T) and other core parameters; (2) Data processing layer Through the operation of voltage / current, combined with no-load voltage variable estimation, moving average filtering, SOC mapping table (SOCMAP), the least square estimated power value (Soc Vse) is obtained; Through polarization voltage estimation, polarization voltage saturation value (Vp), the polarization state change rate (β) is calculated; (3) Judgment layer Based on the polarization state change rate (β), the temperature (T), the power difference value (Soc0-Soc Vse), the condition judgment of "request heating" and "exit heating" is executed; (4) Output layer Finally output the heating request signal (THeatReq), realize the thermal management control of the power battery.

[0058] Figure 4 A structural schematic diagram of a power battery thermal management control device is shown, and it should be understood that the device corresponds to the method performed in the Figure 1 The device can perform the steps involved in the foregoing method, and the specific functions and effects of the device can be referred to the description in the foregoing, and the detailed description is appropriately omitted here to avoid repetition.

[0059] The power battery thermal management control device comprises: The acquisition unit 310 is configured to acquire a minimum single cell voltage value, a real-time dynamic current, a minimum temperature of the power battery, a current capacity estimation value, and a current polarization voltage of the power battery. The first calculation unit 320 is configured to calculate a least square estimation battery capacity value according to the minimum single cell voltage value and the real-time dynamic current. The second calculation unit 330 is configured to calculate a current capacity estimation difference value according to the current capacity estimation value and the least square estimation battery capacity value. The third calculation unit 340 is configured to calculate a polarization state change rate according to the current polarization voltage and a pre-stored polarization voltage saturation value. The first control unit 350 is configured to perform heating control on the power battery when it is determined that the current power battery has a heating demand according to the polarization state change rate, the minimum temperature of the power battery, and the current capacity estimation difference value.

[0060] In some embodiments, the power battery thermal management control device further comprises: The determination unit 360 is configured to determine that the current power battery has a heating demand and trigger the first control unit 350 to perform heating control on the power battery when the polarization state change rate is greater than a first polarization state threshold value, the minimum temperature of the power battery is less than a pre-set request heating temperature threshold value, and the current capacity estimation difference value is less than a pre-set capacity difference threshold value.

[0061] In some embodiments, the power battery thermal management control device comprises: The determination unit 360 is further configured to determine a second polarization state threshold value according to a pre-set polarization state threshold value hysteresis parameter and the first polarization state threshold value after the first control unit 350 performs heating control on the power battery. The second control unit 370 is configured to stop heating control on the power battery when it is detected that the polarization state change rate is less than the second polarization state threshold value, it is detected that the minimum temperature of the power battery is greater than a pre-set exit heating temperature threshold value, and it is detected that the current capacity estimation difference value is less than the pre-set capacity difference threshold value.

[0062] In some embodiments, the first calculation unit 320 comprises: The first calculation sub-unit 321 is configured to calculate a first no-load voltage variable estimated value according to the minimum single-cell voltage value and the real-time dynamic current. The filtering sub-unit 322 is configured to perform sliding filtering processing on the first no-load voltage variable estimated value to obtain a second no-load voltage variable estimated value. The determination sub-unit 323 is configured to determine a least square estimated battery power value according to a preset static voltage value and power value mapping table and the second no-load voltage variable estimated value.

[0063] In some embodiments, the third calculation unit 340 includes: The estimation sub-unit 341 is configured to estimate a current polarization voltage value according to a current polarization voltage, a preset polarization time constant and a last estimated historical polarization voltage. The second calculation sub-unit 342 is configured to calculate a polarization state change rate according to the polarization voltage value and a pre-stored polarization voltage saturation value. The polarization voltage saturation value is obtained by pre-testing the power battery.

[0064] As shown in Figure 5 The electronic device 400 includes a processor 401 and a memory 402, the processor 401 and the memory 402 are interconnected and communicate with each other through a communication bus 403 and / or other forms of connection mechanism (not marked), the memory 402 stores a computer program executable by the processor 401, when the computing device runs, the processor 401 executes the computer program to execute the method in any of the preceding optional implementation manners.

[0065] The present application provides a computer readable storage medium, the computer readable storage medium stores a computer program, when the computer program is run by a processor, the method in any of the preceding optional implementation manners is executed.

[0066] The computer readable storage medium can be implemented by any type of volatile or nonvolatile storage devices or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0067] The present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to perform the method in any of the optional implementation manners.

[0068] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application. Especially, as long as there is no conflict, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method of power battery thermal management control, characterized in that, The method comprises: obtaining the minimum single cell voltage value, the real-time dynamic current, the minimum temperature of the power battery, the current capacity estimation value and the current polarization voltage of the power battery; calculating a least square estimation battery capacity value according to the minimum single cell voltage value and the real-time dynamic current; calculating a current capacity estimation difference value according to the current capacity estimation value and the least square estimation battery capacity value; calculating a polarization state change rate according to the current polarization voltage and a pre-stored polarization voltage saturation value; when it is determined that the current power battery has a heating demand according to the polarization state change rate, the minimum temperature of the power battery and the current capacity estimation difference value, performing heating control on the power battery.

2. The power battery thermal management control method of claim 1, wherein, The method further comprises: when the polarization state change rate is greater than a first polarization state threshold value, the minimum temperature of the power battery is less than a pre-set request heating temperature threshold value, and the current capacity estimation difference value is less than a pre-set capacity difference threshold value, determining that the current power battery has a heating demand, and performing the heating control on the power battery.

3. The power battery thermal management control method of claim 2, wherein, After the heating control on the power battery, the method further comprises: determining a second polarization state threshold value according to a pre-set polarization state threshold value hysteresis parameter and the first polarization state threshold value; when it is detected that the polarization state change rate is less than the second polarization state threshold value, the minimum temperature of the power battery is greater than a pre-set exit heating temperature threshold value, and the current capacity estimation difference value is less than a pre-set capacity difference threshold value, stopping the heating control on the power battery.

4. The power battery thermal management control method of claim 1, wherein, The calculation of the least square estimation battery capacity value according to the minimum single cell voltage value and the real-time dynamic current comprises: calculating a first no-load voltage variable estimation value according to the minimum single cell voltage value and the real-time dynamic current; performing sliding filter processing on the first no-load voltage variable estimation value to obtain a second no-load voltage variable estimation value; determining a least square estimation battery capacity value according to a pre-set static voltage value and capacity value mapping table and the second no-load voltage variable estimation value.

5. The power battery thermal management control method of claim 1, wherein, The calculation of the polarization state change rate according to the current polarization voltage and the pre-stored polarization voltage saturation value comprises: estimating a current polarization voltage value according to the current polarization voltage, a pre-set polarization time constant and a last estimated historical polarization voltage; calculating a polarization state change rate according to the polarization voltage value and a pre-stored polarization voltage saturation value; wherein the polarization voltage saturation value is obtained by pre-testing the power battery.

6. A power battery thermal management control device, characterized in that, The power battery thermal management control device comprises: an acquisition unit configured to obtain the minimum single cell voltage value, the real-time dynamic current, the minimum temperature of the power battery, the current capacity estimation value and the current polarization voltage of the power battery; a first calculation unit configured to calculate a least square estimation battery capacity value according to the minimum single cell voltage value and the real-time dynamic current; a second calculation unit configured to calculate a current capacity estimation difference value according to the current capacity estimation value and the least square estimation battery capacity value; a third calculation unit configured to calculate a polarization state change rate according to the current polarization voltage and a pre-stored polarization voltage saturation value; The first control unit is configured to perform heating control on the power battery when it is determined that the power battery has a heating demand according to the polarization state change rate, the minimum temperature of the power battery and the current power estimation difference.

7. The power battery thermal management control device according to claim 6, characterized in that, Further comprising: A determination unit is configured to determine that the power battery has a heating demand and trigger the first control unit to perform heating control on the power battery when the polarization state change rate is greater than a first polarization state threshold, the minimum temperature of the power battery is less than a preset request heating temperature threshold, and the current power estimation difference is less than a preset power difference threshold.

8. An electronic device, comprising: The electronic device comprises a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the power battery thermal management control method in any one of claims 1 to 5.

9. A readable storage medium, characterized by, The readable storage medium stores a computer program, and the computer program is run by the processor to execute the power battery thermal management control method in any one of claims 1 to 5.

10. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is run by the processor to execute the power battery thermal management control method in any one of claims 1 to 5.

Images