Battery temperature prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a battery temperature prediction method and device, electronic equipment and a storage medium. The battery temperature prediction method comprises the steps that charging and discharging testing is carried out on a target battery, testing data of the target battery are obtained, and the testing data comprise the voltage and the current of the target battery in the charging and discharging testing; based on the voltage and the current of the test data, obtaining the ratio of the discharge energy to the charge energy of the charge and discharge test, and obtaining the current energy efficiency of the target battery; acquiring the current temperature of the target battery according to the current energy efficiency and a preset corresponding relation; the preset corresponding relation at least comprises a first corresponding relation between the energy efficiency of the target battery and the surface temperature of the target battery. According to the battery temperature prediction method, EIS testing does not need to be carried out on the battery, the requirement for testing equipment is low, and the application scene of the battery temperature prediction technology is greatly expanded.

Description

Technical Field

[0001] The present application relates to the technical field of batteries, and particularly to a battery temperature prediction method, a prediction device, an electronic device, and a storage medium. Background Art

[0002] Batteries, especially lithium-ion batteries, play an important role in portable devices, electric vehicles, and renewable energy storage. However, heat is generated during the charging and discharging process of the battery. If not properly managed, this heat may lead to performance degradation, shortened service life, and even pose safety risks. Therefore, battery temperature prediction is crucial for improving the performance, safety, and life of the battery system.

[0003] In the related art, the battery temperature prediction scheme estimates the cell temperature by using impedance test data and a pre-constructed function between the impedance in the low-frequency region and the temperature, and an EIS (Electrochemical Impedance Spectroscopy) test needs to be performed on the battery, which requires high requirements for the test equipment and results in limited applicable scenarios.

[0004] The above statements are only used to provide background technical information related to the present application, and do not necessarily constitute prior art. Summary of the Invention

[0005] In view of the problem of limited applicable scenarios caused by high requirements for test equipment in the above related art, the present application provides a battery temperature prediction method, a prediction device, an electronic device, and a storage medium to at least partially solve the problem of limited applicable scenarios caused by high requirements for test equipment in the related art.

[0006] In the first aspect of the embodiments of the present application, a battery temperature prediction method is provided, including: Performing a charge and discharge test on a target battery to obtain test data of the target battery, where the test data includes the voltage and current of the target battery during the charge and discharge test; Based on the voltage and current of the test data, obtaining the ratio of the discharge energy to the charge energy of the charge and discharge test to obtain the current energy efficiency of the target battery; According to the current energy efficiency and a preset corresponding relationship, obtaining the current temperature of the target battery; the preset corresponding relationship at least includes a first corresponding relationship between the energy efficiency of the target battery and the surface temperature of the target battery.

[0007] The battery temperature prediction method provided by the embodiments of the present application is different from the technical solution in the related art that estimates the temperature of the battery cell through impedance test data and a pre-constructed function between the impedance in the low-frequency region and the temperature. It does not require EIS testing of the battery, has low requirements for testing equipment, and greatly expands the applicable scenarios of battery temperature prediction technology.

[0008] In some embodiments of the present application, the voltage and current of the test data include the real-time discharge voltage, real-time discharge current, real-time charge voltage, and real-time charge current of the target battery during the charge and discharge test; The obtaining of the ratio of the discharge energy to the charge energy of the charge and discharge test based on the voltage and current of the test data to obtain the current energy efficiency of the target battery includes: Based on the voltage and current of the test data, obtain the first discharge energy and the first charge energy of the charge and discharge test; the first discharge energy is the cumulative discharge energy generated by the real-time discharge voltage and the real-time discharge current in the time interval of the charge process of the charge and discharge test; the first charge energy is the cumulative charge energy generated by the real-time charge voltage and the real-time charge current in the time interval of the discharge process of the charge and discharge test; Obtain the first ratio of the first discharge energy to the first charge energy, and the first ratio is the current energy efficiency of the target battery.

[0009] The energy efficiency is sensitive to the test temperature and test rate, and less sensitive to the aging state of the battery. Using the energy efficiency as the temperature monitoring index can exclude the influence of the battery cell aging state factor. When the test rate remains unchanged, the temperature of the battery cell can be approximately obtained, which simplifies the battery temperature acquisition step and improves the battery temperature acquisition efficiency.

[0010] In some embodiments of the present application, the obtaining of the current temperature of the target battery according to the current energy efficiency and the preset corresponding relationship includes: Substitute the current energy efficiency into the function expression representing the first corresponding relationship to calculate and obtain the current surface temperature of the target battery; the function expression is a univariate polynomial function with the surface temperature of the target battery as the dependent variable and the energy efficiency of the target battery as the independent variable. In this way, the surface temperature of the target battery can be obtained more efficiently.

[0011] In some embodiments of the present application, the preset corresponding relationship further includes a second corresponding relationship among the internal temperature of the target battery, the surface temperature of the target battery, and the ambient temperature of the target battery; the obtaining of the current temperature of the target battery according to the current energy efficiency and the preset corresponding relationship includes: Obtain the current target battery surface temperature based on the first corresponding relationship; According to the current target battery surface temperature, the ambient temperature of the current target battery, and the second corresponding relationship, obtain the current internal temperature of the target battery. This can obtain the internal temperature of the battery more efficiently and helps to further reflect the overall temperature condition of the battery.

[0012] In some embodiments of the present application, the obtaining the current internal temperature of the target battery according to the current target battery surface temperature, the ambient temperature of the current target battery, and the second corresponding relationship includes: Substitute the current target battery surface temperature and the ambient temperature of the current target battery into the function expression representing the second corresponding relationship, and calculate to obtain the current internal temperature of the target battery. This can obtain the internal temperature of the battery more efficiently and helps to further reflect the overall temperature condition of the battery.

[0013] In some embodiments of the present application, the obtaining of the first corresponding relationship includes: Conduct multiple first calibration tests on the first battery, and obtain the battery surface temperature, the second discharge energy, and the second charge energy for each first calibration test; the model of the first battery is the same as the model of the target battery; the second discharge energy is the cumulative charge energy generated by the real-time discharge voltage and real-time discharge current of the first calibration test during the discharge process time interval of the first calibration test; the second charge energy is the cumulative charge energy generated by the real-time charge voltage and real-time charge current of the first calibration test during the charge process time interval of the first calibration test; For each of the first calibration tests, obtain the second ratio of the second discharge energy to the second charge energy in the first calibration test, and the second ratio is the energy efficiency of the first calibration test; Based on the energy efficiency and battery surface temperature of the multiple first calibration tests, fit to obtain the first corresponding relationship. In this way, the corresponding relationship between the energy efficiency of the battery and the battery surface temperature can be obtained more accurately, which helps to improve the accuracy of predicting the battery temperature based on the energy efficiency of the battery.

[0014] In some embodiments of the present application, obtaining the battery surface temperature for each first calibration test includes: For each of the first calibration tests, during the process of the first calibration test, detect the ambient temperature of the battery multiple times to obtain multiple temperature detection values; Calculate the average value of the multiple temperature detection values to obtain the battery surface temperature of the first calibration test. In this way, a more accurate battery surface temperature can be obtained.

[0015] In some embodiments of the present application, the method further includes: During multiple first calibration tests on the first battery, the internal temperature of the battery and the ambient temperature where the battery is located are also acquired each time; Based on the surface temperature of the battery, the internal temperature of the battery, and the ambient temperature where the battery is located in the multiple first calibration tests, a second correspondence is obtained by fitting; the second correspondence is the correspondence between the internal temperature of the battery, the surface temperature of the battery, and the ambient temperature where the battery is located. The second correspondence obtained in this way is relatively accurate.

[0016] In a second aspect of the embodiments of the present application, a battery temperature prediction device is provided, including: A charge and discharge test module, configured to perform a charge and discharge test on a target battery to obtain test data of the target battery, where the test data includes the voltage and current of the target battery during the charge and discharge test; An energy efficiency determination module, configured to obtain the ratio of the discharge energy to the charge energy of the charge and discharge test based on the voltage and current of the test data, and obtain the current energy efficiency of the target battery; A battery temperature acquisition module, configured to acquire the current temperature of the target battery according to the current energy efficiency and a preset correspondence; the preset correspondence at least includes a first correspondence between the energy efficiency of the target battery and the surface temperature of the target battery.

[0017] The battery temperature prediction device in the second aspect of the embodiments of the present application can achieve the same beneficial technical effects as the battery temperature prediction method in the first aspect of the embodiments of the present application.

[0018] In a third aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the battery temperature prediction method according to any embodiment of the present application.

[0019] The electronic device in the third aspect of the embodiments of the present application can achieve the same beneficial technical effects as the battery temperature prediction method in the first aspect of the embodiments of the present application.

[0020] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program is executed by a processor to implement the battery temperature prediction method according to any embodiment of the present application.

[0021] The computer-readable storage medium in the fourth aspect of the embodiments of the present application can achieve the same beneficial technical effects as the battery temperature prediction method in the first aspect of the embodiments of the present application.

[0022] The above description is only an overview of the technical solution of the embodiments of the present application. In order to be able to understand the technical means of the embodiments of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the embodiments of the present application more obvious and understandable, the following specific embodiments of the present application are specifically given. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] By reading the following detailed description of the embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the embodiments of the present application and are not considered to be a limitation of the present application. Moreover, in all the drawings, the same reference numerals are used to represent the same components.

[0024] Figure 1 It is a flowchart of a battery temperature prediction method according to one or more embodiments.

[0025] Figure 2 It is a flowchart of determining the current energy efficiency of a target battery based on test data according to one or more embodiments.

[0026] Figure 3 It is a flowchart of obtaining the current temperature of a target battery according to the current energy efficiency and a preset corresponding relationship according to one or more embodiments.

[0027] Figure 4 It is a relationship curve graph between the battery energy efficiency and the battery surface temperature constructed based on the test data of the calibration test according to one or more embodiments.

[0028] Figure 5 It is a data graph of the measured surface temperature and the predicted temperature of the battery cell under actual use conditions according to one or more embodiments.

[0029] Figure 6 It is a structural block diagram of a battery temperature prediction device according to one or more embodiments.

[0030] Figure 7 It is a structural block diagram of an electronic device according to one or more embodiments.

[0031] Figure 8 It is a schematic diagram of a computer-readable storage medium according to one or more embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The following will describe in detail the embodiments of the technical solution of the present application with reference to the drawings. The following embodiments are only used to illustrate the technical solution of the present application more clearly and therefore are only examples and cannot be used to limit the protection scope of the present application.

[0033] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs; the terms used herein are for the purpose of describing specific embodiments only and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above accompanying drawings are intended to cover non-exclusive inclusion.

[0034] In the description of the embodiments of this application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "a plurality" is two or more (including two), unless otherwise specifically defined.

[0035] Referring to "embodiments" herein means that specific features, structures or characteristics described in connection with the embodiments can be included in at least one embodiment of this application. The phrase appearing in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0036] In the description of the embodiments of this application, the term "and / or" is merely a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: the existence of A, the simultaneous existence of A and B, and the existence of B. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0037] In the related art, the scheme adopted for predicting the battery temperature is to estimate the cell temperature through impedance test data and a pre-constructed function between the impedance in the low-frequency region and the temperature, and an EIS test needs to be performed on the battery. Therefore, the scheme of the related art has high requirements for the test equipment, resulting in limited applicable scenarios.

[0038] In view of the problems existing in the related art, an embodiment of the present application provides a battery temperature prediction method. The target battery is subjected to charge and discharge tests to obtain the test data of the target battery, where the test data includes the voltage and current of the target battery during the charge and discharge tests. Then, based on the voltage and current of the test data, the ratio of the discharge energy to the charge energy of the charge and discharge test is obtained to get the current energy efficiency of the target battery. Then, according to the current energy efficiency and the preset corresponding relationship, the current temperature of the target battery is obtained. The preset corresponding relationship at least includes a first corresponding relationship between the energy efficiency of the target battery and the surface temperature of the target battery. Different from the technical solution in the related art that estimates the cell temperature through impedance test data and a function between the impedance in the low-frequency region and the temperature constructed in advance, it is not necessary to perform an EIS (EIS is the abbreviation of Electrochemical Impedance Spectroscopy, electrochemical impedance spectroscopy, which is a key technology in the field of electrochemical testing. By applying a small-amplitude sinusoidal potential or current perturbation to an electrochemical system, and then measuring the corresponding current or potential response generated by the system, and then plotting an impedance spectrum diagram, which depicts the change relationship between the impedance of the electrochemical system and the frequency). The test requirements for the test equipment are relatively low, greatly expanding the applicable scenarios of the battery temperature prediction technology.

[0039] The battery temperature prediction method of the embodiment of the present application can be applied to application scenarios such as battery temperature detection. For example, it can be applied to the temperature detection of power batteries of power vehicles, the temperature detection of energy storage batteries, etc. The battery in the embodiment of the present application can be, but is not limited to, a battery cell, a single battery, a battery module, or a battery pack, etc. The battery can be a battery of any chemical type, such as a lithium iron phosphate battery, a lithium-ion battery, a nickel-cadmium battery, a nickel-metal hydride battery, a lead-acid battery, etc. The battery can be a battery of any shape and structure, such as a cylindrical battery, a flat battery, a soft-pack battery, a square battery, etc. The battery can be applied to any application scenario that requires the use of a battery. The battery can be used as a consumer electronics battery, such as for mobile phones, laptops, etc. The battery can also be used as an energy storage battery, and the battery can also be used as a power battery, such as for electric vehicles, electric bicycles, electric aircraft, electric ships, etc.

[0040] Next, a battery temperature prediction method, a battery temperature prediction device, an electronic device, and a computer-readable storage medium proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0041] Reference Figure 1 As shown, an embodiment of the present application provides a battery temperature prediction method, which may include steps S10-S30: S10. Perform charge and discharge tests on the target battery to obtain the test data of the target battery. The test data includes the voltage and current of the target battery during the charge and discharge tests.

[0042] The charge-discharge test may include a discharge process and a charge process. A discharge operation and a charge operation are performed on the target battery by a charge-discharge device, and the real-time current and real-time voltage corresponding to the target battery during the charge-discharge test are recorded.

[0043] S20. Based on the voltage and current of the test data, obtain the ratio of the discharge energy to the charge energy of the charge-discharge test to obtain the current energy efficiency of the target battery.

[0044] In some embodiments, the voltage and current of the test data may include the real-time discharge voltage, real-time discharge current, real-time charge voltage, and real-time charge current of the target battery during the charge-discharge test. Refer to Figure 2 As shown, based on the voltage and current of the test data, obtaining the ratio of the discharge energy to the charge energy of the charge-discharge test to obtain the current energy efficiency of the target battery may include: S201. Based on the voltage and current of the test data, obtain the first discharge energy and the first charge energy of the charge-discharge test.

[0045] The first discharge energy is the cumulative discharge energy generated by the real-time discharge voltage and real-time discharge current over the time interval of the charge process of the charge-discharge test; specifically, the first discharge energy may be the integral value of the product of the real-time discharge voltage and real-time discharge current over the time interval of the charge process, or, during the charge process of the charge-discharge test, multiple sampling points may be obtained by sampling. Each sampling point includes the real-time discharge voltage and real-time discharge current at the sampling moment. Calculate the power corresponding to each sampling point. The power corresponding to each sampling point is equal to the product of the real-time discharge voltage and real-time discharge current at that sampling point. Depict the power points in a preset rectangular coordinate system. Each power point includes the power corresponding to each sampling point and the corresponding sampling moment. The horizontal axis of the preset rectangular coordinate system is the sampling moment axis, and the vertical axis is the power. Then, connect all the power points in sequence according to the order of the sampling moments to obtain a broken line. Draw a straight line perpendicular to the horizontal axis passing through the end moment of the charge process of the charge-discharge test. Draw a perpendicular line to the vertical axis with the power point with the earliest sampling moment as the end point, and draw a perpendicular line to the straight line at the end moment of the charge process of the charge-discharge test with the power point with the latest sampling moment as the end point. Thus, a closed first polygon is obtained. The first polygon is divided by a geometric method, the areas of the divided parts are calculated, and then the areas of the first polygon are summarized and calculated. The area of the first polygon is used as the first discharge energy.

[0046] The first charging energy is the cumulative charging energy generated by the real-time charging voltage and the real-time charging current during the time interval of the discharging process in the charge-discharge test. Specifically, the first charging energy can be the integral value of the product of the real-time charging voltage and the real-time charging current during the time interval of the discharging process. Alternatively, by plotting the charging power sampling points on a pre-set rectangular coordinate system, and then connecting the charging power sampling points in sequence according to the sampling time order to obtain a broken line, using the broken line to enclose a closed second polygon with the coordinate axes, calculating the area of the second polygon, and taking the area of the second polygon as the first charging energy.

[0047] S202. Obtain the first ratio of the first discharging energy to the first charging energy, and the first ratio is the current energy efficiency of the target battery.

[0048] The calculation formula for the current energy efficiency of the target battery is η = DE / CE * 100%, where DE represents the first discharging energy and CE represents the first charging energy.

[0049] The energy efficiency (Energy Efficiency, EE) of a battery refers to the ratio of the output energy to the input energy during the charge-discharge process of the battery, usually expressed as a percentage, and is the core indicator for measuring the energy conversion performance of the battery. The energy efficiency is sensitive to the test temperature and the test rate, and less sensitive to the aging state of the battery. Using the energy efficiency as the temperature monitoring indicator can exclude the influence of the cell aging state factor. Under the condition that the test rate remains unchanged, the temperature of the cell can be approximately obtained, which simplifies the battery temperature acquisition step and improves the battery temperature acquisition efficiency.

[0050] S30. Obtain the current temperature of the target battery according to the current energy efficiency and the preset corresponding relationship.

[0051] The preset correspondence relationship includes at least a first correspondence relationship between the energy efficiency of the target battery and the surface temperature of the target battery. The current temperature of the target battery may include the target battery surface temperature and / or the target battery internal temperature. The battery surface temperature refers to the temperature of the outer surface of the battery. For example, the average temperature of multiple points on the outer surface of the battery can be used as the battery surface temperature. The internal temperature of the battery refers to the temperature within a preset size range inside the battery with the center point of the battery as a reference point. For example, the average temperature within a spherical shape with the center point of the battery as the center and the length from the center point as a preset value can be used as the internal temperature of the battery, or the average temperature of a geometric body with the center point of the battery as the center and similar to the overall shape of the battery can be used as the internal temperature of the battery. The operating temperature of the battery cell is estimated based on the test energy efficiency, without the need for additional temperature sensors, which simplifies the test system structure, improves the test efficiency, and reduces the test cost during the battery life cycle.

[0052] In some embodiments, obtaining the current temperature of the target battery according to the current energy efficiency and the preset corresponding relationship may include: substituting the current energy efficiency into the function expression representing the first corresponding relationship to calculate and obtain the current target battery surface temperature. In this way, the target battery surface temperature can be obtained more efficiently.

[0053] The function expression characterizing the first corresponding relationship is a univariate multi-function formula with the target battery surface temperature as the dependent variable and the target battery energy efficiency as the independent variable. The function expression characterizing the first corresponding relationship includes but is not limited to a univariate n-order function formula, where n is an integer greater than 1, and the univariate n-order function formula is a univariate n-order function formula with the battery surface temperature as the dependent variable and the energy efficiency as the independent variable; a univariate n-order function formula is a univariate multi-function formula.

[0054] Exemplarily, the function expression representing the first corresponding relationship may be a quadratic function with the battery surface temperature as the dependent variable and the energy efficiency as the independent variable, for example, it may be: ; in, T e Represents the surface temperature of the target battery; stands for energy efficiency; a , b and c All are preset constants. a , b and c The values of are obtained by pre-fitting, for example, in a specific example, a=9545.9, b=-16927, c=7522.9.

[0055] In some embodiments, the preset correspondence further includes a second correspondence among the internal temperature of the target battery, the surface temperature of the target battery, and the ambient temperature of the target battery; refer to Figure 3 As shown, according to the current energy efficiency and the preset correspondence, obtaining the current temperature of the target battery may include steps S301 - S302: S301. Obtain the current surface temperature of the target battery based on the first correspondence.

[0056] Specifically, substitute the current energy efficiency into the function expression representing the first correspondence, and calculate to obtain the current surface temperature of the target battery. The function expression representing the first correspondence is a polynomial function of one variable with the surface temperature of the target battery as the dependent variable and the energy efficiency of the target battery as the independent variable.

[0057] S302. According to the current surface temperature of the target battery, the current ambient temperature of the target battery, and the second correspondence, obtain the current internal temperature of the target battery. In this way, the internal temperature of the battery can be obtained more efficiently, which helps to further reflect the overall temperature condition of the battery.

[0058] In some embodiments, according to the current surface temperature of the target battery, the current ambient temperature of the target battery, and the second correspondence, obtaining the current internal temperature of the target battery may include: Substitute the current surface temperature of the target battery and the current ambient temperature of the target battery into the function expression representing the second correspondence, and calculate to obtain the current internal temperature of the target battery. In this way, the internal temperature of the battery can be obtained more efficiently, which helps to further reflect the overall temperature condition of the battery.

[0059] Exemplarily, the function expression representing the second correspondence is

[0060] where f(T0) and g(T e ) can be functions related to battery design parameters (such as the material and shape of the battery cell).

[0061] In one example, the function expression representing the second correspondence is a binary linear function with the surface temperature of the battery and the ambient temperature of the battery as independent variables and the internal temperature of the battery as the dependent variable. For example,

[0062] where, represents the internal temperature of the battery, represents the ambient temperature of the battery, represents the surface temperature of the battery, and m and n are both constants obtained through a fitting operation in advance.

[0063] The battery temperature prediction method according to the embodiments of the present application estimates the operating temperature of the battery cell based on the measured energy efficiency, without the need to additionally arrange temperature sensors, simplifies the product design, quickly responds to system configurations, and controls the costs within the life cycle; the calculation process is simple and the amount of calculation is small. By combining the energy efficiency data of the battery cell, the temperature of the battery cell can be obtained, and the change trend of the battery cell temperature can be analyzed by comparing with the historical test temperature.

[0064] In some embodiments, the obtaining of the first correspondence relationship may include steps 101 to 103: Step 101: Perform multiple first calibration tests on the first battery, and obtain the battery surface temperature, the second discharge energy, and the second charge energy of each first calibration test.

[0065] The first calibration test refers to a test process in which standard measuring instruments are used to detect various parameters of the first battery to obtain detection values for comparing the detection values with standard values. The various parameters of the first battery include, but are not limited to, the battery surface temperature, the second discharge energy, and the second charge energy. The model of the first battery is the same as that of the target battery, and the first battery can be the target battery, that is, multiple first calibration tests are directly performed on the target battery. The second discharge energy is the cumulative charge energy generated by the real-time discharge voltage and the real-time discharge current of the first calibration test during the discharge process time interval of the first calibration test; the second charge energy is the cumulative charge energy generated by the real-time charge voltage and the real-time charge current of the first calibration test during the charge process time interval of the first calibration test. The obtaining method of the second discharge energy can adopt the same obtaining method as the first discharge energy, and the obtaining method of the second charge energy can adopt the same obtaining method as the first charge energy.

[0066] In some embodiments, obtaining the battery surface temperature of each first calibration test may include: for each first calibration test, during the process of the first calibration test, detecting the ambient temperature of the battery multiple times to obtain multiple temperature detection values; calculating the average value of the multiple temperature detection values to obtain the battery surface temperature of the first calibration test.

[0067] Step 102: For each first calibration test, obtain the second ratio of the second discharge energy to the second charge energy in the first calibration test, and the second ratio is the energy efficiency of the first calibration test.

[0068] Step 103: Based on the energy efficiency and the battery surface temperature of multiple first calibration tests, fit to obtain the first correspondence relationship. In this way, the correspondence relationship between the energy efficiency of the battery and the battery surface temperature can be obtained more accurately, which helps to improve the accuracy of predicting the battery temperature according to the energy efficiency of the battery.

[0069] In a specific example, the first battery is placed in an incubator and left standing for 1 - 5 hours to make the battery temperature equal to the ambient temperature T1. The temperature range to which T1 belongs is generally: -20 - 60°C; the first battery is discharged at a current of C1 (here it can be a specific current or a specific power) to obtain a fully discharged battery. The range of the discharge current is generally: 0 - 5C; after the discharge process ends, the first battery is left standing for 0.1 - 2 hours; the first battery is charged at a current of C1, and the charging energy CE1 is recorded. After the charging process ends, the first battery is left standing for 0.1 - 2 hours; the first battery is discharged at a current of C1, and the discharge energy DE1 is recorded. During the process of discharging the first battery at a current of C1 to discharging the first battery at a current of C1, the battery is placed in a cooling system to reduce the influence of temperature changes caused by heat generation of the battery core on the test data. Calculate the energy efficiency η T1 = DE1 / CE1 * 100%; then calculate the average temperature in the current test scenario as ; where n represents the total number of temperature samplings in the charge-discharge test. n includes but is not limited to values such as 3, 4, 5, etc., and can be specifically set according to actual application requirements; Ti represents the temperature sampling value. At temperature T1, the highest temperature T during the charge-discharge process 11 = max(Ti).

[0070] Raise the temperature in the incubator to T2, perform the operations of obtaining the energy efficiency and the average temperature in the charge-discharge test, and obtain the energy efficiency η T2 and the average temperature ; raise the temperature in the incubator to T3, perform the operations of obtaining the energy efficiency and the average temperature in the charge-discharge test, and obtain the energy efficiency η T3 and the average temperature , 3 - 5 temperature values can be tested in each charge-discharge test, and then the corresponding average temperature is calculated; according to the needs of actual applications, test and obtain the energy efficiency and the average temperature at multiple different temperatures; then, using the energy efficiency and the average temperature at the above-mentioned multiple different temperatures obtained, fit to obtain the first corresponding relationship. The specific process of fitting includes plotting points corresponding to multiple different temperatures on a plane coordinate system with the energy efficiency and the average temperature as coordinate values. The abscissa and ordinate of each point are the energy efficiency and the average temperature, and then connect the multiple points on the plane with a smooth curve to obtain the first corresponding relationship. The fitting methods include but are not limited to algorithms such as the least squares curve fitting method.

[0071] The function expression of the first corresponding relationship can be, for example, ; where, T eRepresents the surface temperature of the target battery; Represents the energy efficiency; the values of a, b, and c are obtained by fitting. For example, in a specific example, a = 9545.9, b = -16927, c = 7522.9, and the corresponding formula is . Refer to Figure 4 as shown. Figure 4 Figure 8 shows a curve graph of the relationship between the battery energy efficiency and the battery surface temperature constructed based on the test data of the calibration test in a specific example. Refer to Figure 5 as shown. Figure 5 Figure 12 shows a data graph of the measured surface temperature and the predicted temperature of the battery cell under the actual use conditions. The overall fluctuation trend of the predicted temperature is consistent with the measured temperature. The average error of 20 predictions is 0.15 °C, and the maximum prediction error does not exceed 0.4 °C. The battery temperature prediction method in this embodiment has achieved a high prediction accuracy.

[0072] In some embodiments, the method may further include: during the process of performing multiple first calibration tests on the battery, also obtaining the internal temperature of the battery and the ambient temperature of the battery for each first calibration test; based on the surface temperature, internal temperature, and ambient temperature of the battery in multiple first calibration tests, fitting to obtain a second corresponding relationship; the second corresponding relationship is the corresponding relationship between the internal temperature, surface temperature, and ambient temperature of the battery. The second corresponding relationship obtained in this way is relatively accurate.

[0073] The function expression characterizing the second corresponding relationship may be

[0074] where f(T0) and g(T e ) can be functions related to battery design parameters (such as the cell material and shape).

[0075] Specifically, the function expression characterizing the second corresponding relationship is a binary linear function with the surface temperature and ambient temperature of the battery as independent variables and the internal temperature of the battery as the dependent variable. For example,

[0076] where, represents the internal temperature of the battery, represents the ambient temperature of the battery, represents the surface temperature of the battery. Based on the surface temperature, internal temperature, and ambient temperature of the battery in multiple first calibration tests, m and n are obtained by fitting, and both m and n are constants.

[0077] In some embodiments, the obtaining of the second corresponding relationship includes: Perform multiple second calibration tests on the battery, and obtain the battery surface temperature, the battery internal temperature, and the temperature of the environment where the battery is located for each second calibration test; each second calibration test includes one charging process and one discharging process; Based on the battery surface temperature, the battery internal temperature, and the temperature of the environment where the battery is located in multiple second calibration tests, fit to obtain a second corresponding relationship. The second corresponding relationship obtained in this way is relatively accurate.

[0078] In some embodiments, obtaining the battery internal temperature for each second calibration test includes: For each second calibration test, during the process of this second calibration test, detect the temperature of the preset built-in temperature sensing wire of the battery to obtain the battery internal temperature of this second calibration test. In this way, it helps to improve the accuracy of the obtained second corresponding relationship.

[0079] The descriptions of the above embodiments tend to emphasize the differences between the embodiments. Their similarities or similarities can be referred to each other. For the sake of brevity, they will not be elaborated in this article.

[0080] For example, in an exemplary battery temperature prediction method, the target battery is a lithium iron phosphate battery. First, perform a calibration test on the lithium iron phosphate battery. The steps include: 1.1. Adjust the battery cell to 20 °C; 1.2. Stand still for 120 min; 1.3. Discharge at a constant current of 1C to 2.5 V; 1.4. Stand still for 30 min; 1.5. Charge at a constant current of 1C to 3.65 V; 1.6. Stand still for 30 min; 1.7. Discharge at a constant current of 1C to 2.5 V; 1.8. Stand still for 30 min; 1.9. Repeat steps 1.5 - 1.8 three times, and take the data of the last cycle to calculate the energy efficiency η 1; 1.10. Adjust the battery cell to 25 °C; 1.11. Stand still for 120 min; 1.12. Repeat steps 1.5 - 1.8 three times, and take the data of the last cycle to calculate the energy efficiency η 2; 1.13. Adjust the battery cell to 35 °C; 1.14. Stand still for 120 min; 1.15. Repeat steps 1.5 - 1.8 three times, and take the data of the last cycle to calculate the energy efficiency η 3; 1.16. Adjust the battery cell to 45 °C; 1.17. Stand still for 120 min; 1.18. Execute steps 1.5 - 1.8 in a loop three times, and take the data of the last cycle to calculate the energy efficiency η 4.

[0081] 1.19. According to η 1. η 2. η 3. η 4 and the corresponding target battery surface temperature, fit to obtain the formula .

[0082] Then, perform temperature prediction on this lithium iron phosphate battery, including: 2.1. Charge at a constant current of 1C to 3.65V; 2.2. Stand still for 120 min; 2.3. Discharge at a constant current of 1C to 2.5V; 2.4. Stand still for 120 min.

[0083] 2.5. Execute steps 2.1 - 2.4 in a loop 2500 times.

[0084] By adjusting the ambient temperature to simulate different cell surface temperatures, obtain the energy efficiency data of this lithium iron phosphate battery once every 30 days. According to the formula , calculate the target battery surface temperature corresponding to the energy efficiency obtained each time, and substitute the target battery surface temperature and the ambient temperature where the target battery is located each time into to calculate the internal battery temperature Ti of the target battery.

[0085] In a specific example of the battery temperature prediction method, first, perform charge and discharge tests on the target battery to obtain the test data of the target battery. The test data includes the voltage and current of the target battery during the charge and discharge tests. The charge and discharge tests can include one discharge process and one charge process. Perform one discharge operation and one charge operation on the target battery through a charge and discharge device, and record the real-time current and real-time voltage corresponding to the target battery during the charge and discharge tests. The voltage and current of the test data can include the discharge voltage, discharge current, charge voltage, and charge current of the target battery during the charge and discharge tests.

[0086] Then, based on the voltage and current of the test data, the first discharge energy and the first charge energy of the charge-discharge test are obtained. The first discharge energy is the integral value of the product of the real-time discharge voltage and the real-time discharge current over the time interval of the charging process, and the first charge energy is the integral value of the product of the real-time charge voltage and the real-time charge current over the time interval of the discharging process. The first ratio of the first discharge energy to the first charge energy is obtained, and the first ratio is the current energy efficiency of the target battery.

[0087] The preset correspondence relationship includes at least a first correspondence relationship between the energy efficiency of the target battery and the surface temperature of the target battery. Substitute the current energy efficiency into the function expression representing the first correspondence relationship, and calculate to obtain the current surface temperature of the target battery. The function expression is the surface temperature of the target battery , which represents the current energy efficiency. Finally, according to the current surface temperature of the target battery, the current ambient temperature of the target battery, and the second correspondence relationship, the current internal temperature of the target battery is obtained. Among them, the function expression representing the second correspondence relationship is a binary linear function with the battery surface temperature and the battery ambient temperature as independent variables and the battery internal temperature as the dependent variable, and is

[0088] wherein, represents the battery internal temperature, represents the battery ambient temperature, represents the battery surface temperature, and both m and n are constants obtained by a fitting operation in advance.

[0089] The temperature change of the battery cell will also affect the test performance of the battery and the test results of the electrical performance parameters. At the same time, the change law of the battery cell temperature can also reflect the aging law of the battery cell. Therefore, establishing an accurate online battery temperature estimation model is of great significance for battery thermal state estimation and the development of thermal management systems. In related technologies, a temperature sensor needs to be built into the battery module to obtain the battery cell temperature, which increases the production and maintenance costs of the product.

[0090] The battery temperature prediction method of the embodiments of the present application is different from the technical solution in related technologies that estimates the battery cell temperature through impedance test data and a pre-constructed function between the impedance in the low-frequency region and the temperature. It does not require an EIS test on the battery, has low requirements for test equipment, and greatly expands the applicable scenarios of battery temperature prediction technology. Predicting the battery temperature based on the test energy efficiency has a high prediction accuracy, and there is no need to additionally arrange temperature sensors, which simplifies the product design, can quickly respond to system configuration, and reduces the production and maintenance costs of the battery.

[0091] The descriptions of the various embodiments above tend to emphasize the differences between the various embodiments. For the same or similar parts, reference can be made to each other. For the sake of brevity, they will not be elaborated herein.

[0092] Referring Figure 6 as shown, another embodiment of the present application provides a battery temperature prediction device, which may include: A charge and discharge test module, configured to perform a charge and discharge test on a target battery to obtain test data of the target battery, where the test data includes the voltage and current of the target battery during the charge and discharge test; An energy efficiency determination module, configured to obtain the ratio of the discharge energy to the charge energy of the charge and discharge test based on the voltage and current of the test data, and obtain the current energy efficiency of the target battery; A battery temperature acquisition module, configured to obtain the current temperature of the target battery according to the current energy efficiency and a preset corresponding relationship; the preset corresponding relationship at least includes a first corresponding relationship between the energy efficiency of the target battery and the surface temperature of the target battery.

[0093] In some embodiments, the voltage and current of the test data include the real-time discharge voltage, real-time discharge current, real-time charge voltage, and real-time charge current of the target battery during the charge and discharge test; The energy efficiency determination module includes: A charge and discharge energy acquisition unit, configured to obtain a first discharge energy and a first charge energy of the charge and discharge test based on the voltage and current of the test data; the first discharge energy may be the cumulative discharge energy generated by the real-time discharge voltage and the real-time discharge current in the time interval of the charge process of the charge and discharge test; the first charge energy is the cumulative charge energy generated by the real-time charge voltage and the real-time charge current in the time interval of the discharge process of the charge and discharge test; for example, the first discharge energy is the integral value of the product of the real-time discharge voltage and the real-time discharge current in the time interval of the charge process; the first charge energy is the integral value of the product of the real-time charge voltage and the real-time charge current in the time interval of the discharge process; An energy efficiency acquisition unit, configured to obtain a first ratio of the first discharge energy to the first charge energy, and the first ratio is the current energy efficiency of the target battery.

[0094] In some embodiments, the battery temperature acquisition module is further configured to substitute the current energy efficiency into the function expression representing the first corresponding relationship to calculate and obtain the current surface temperature of the target battery.

[0095] In some embodiments, the preset corresponding relationship further includes a second corresponding relationship among the internal temperature of the target battery, the surface temperature of the target battery, and the ambient temperature of the target battery; the battery temperature acquisition module includes: The battery surface temperature acquisition unit is used to obtain the current target battery surface temperature based on the first corresponding relationship; The battery internal temperature acquisition unit is used to obtain the current battery internal temperature of the target battery according to the current target battery surface temperature, the current ambient temperature of the target battery, and the second corresponding relationship.

[0096] Exemplarily, the battery internal temperature acquisition unit is further used to substitute the current target battery surface temperature and the current ambient temperature of the target battery into the function expression representing the second corresponding relationship, and calculate the current battery internal temperature of the target battery.

[0097] In some embodiments, the battery temperature prediction device further includes a first corresponding relationship acquisition module, and the first corresponding relationship acquisition module includes: The test unit is used to perform multiple first calibration tests on the first battery, and obtain the battery surface temperature, the second discharge energy, and the second charge energy of each first calibration test; the model of the first battery is the same as that of the target battery; the second discharge energy is the cumulative charge energy generated by the real-time discharge voltage and the real-time discharge current of the first calibration test during the discharge process time interval of the first calibration test; the second charge energy is the cumulative charge energy generated by the real-time charge voltage and the real-time charge current of the first calibration test during the charge process time interval of the first calibration test; The energy efficiency acquisition unit is used to obtain the second ratio of the second discharge energy to the second charge energy in each first calibration test, and the second ratio is the energy efficiency of the first calibration test; The fitting unit is used to obtain the first corresponding relationship by fitting based on the energy efficiency and the battery surface temperature of multiple first calibration tests.

[0098] In some embodiments, the test unit is further specifically used for: For each first calibration test, during the process of the first calibration test, the ambient temperature of the battery is detected multiple times to obtain multiple temperature detection values; Calculate the average value of the multiple temperature detection values to obtain the battery surface temperature of the first calibration test.

[0099] In some embodiments, the battery temperature prediction device further includes a second corresponding relationship acquisition module, and the second corresponding relationship acquisition module is used for: During the process of performing multiple first calibration tests on the battery, the battery internal temperature and the ambient temperature of the battery are also obtained for each first calibration test; Based on the battery surface temperature, battery internal temperature, and the ambient temperature of the battery in multiple first calibration tests, a second corresponding relationship is obtained by fitting; the second corresponding relationship is the corresponding relationship among the battery internal temperature, battery surface temperature, and the ambient temperature of the battery.

[0100] The battery temperature prediction device according to the embodiments of the present application can perform charge and discharge tests on a target battery to obtain test data of the target battery. Based on the voltage and current of the test data, the ratio of the discharge energy to the charge energy of the charge and discharge test is obtained to get the current energy efficiency of the target battery. According to the current energy efficiency and the preset corresponding relationship, the current temperature of the target battery is obtained. Different from the technical solution in the related art that estimates the cell temperature through impedance test data and a pre-constructed function between the impedance in the low-frequency region and the temperature, it is not necessary to perform an EIS test on the battery, and the requirements for the test equipment are relatively low, greatly expanding the applicable scenarios of the battery temperature prediction technology.

[0101] The descriptions of the above embodiments tend to emphasize the differences between the embodiments. Their similarities or similarities can be referred to each other. For the sake of brevity, they will not be elaborated herein.

[0102] Another embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the method of any of the above embodiments.

[0103] Refer to Figure 7 As shown, the electronic device 10 may include: a processor 100, a memory 101, a bus 102, and a communication interface 103. The processor 100, the communication interface 103, and the memory 101 are connected through the bus 102; a computer program executable on the processor 100 is stored in the memory 101. When the processor 100 runs the computer program, it executes the method provided in any of the foregoing embodiments of the present application.

[0104] Among them, the memory 101 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory. Through at least one communication interface 103 (which can be wired or wireless), a communication connection between the device network element and at least one other network element is realized, and the Internet, wide area network, local area network, metropolitan area network, etc. can be used.

[0105] The bus 102 can be an ISA bus, a PCI bus, an EISA bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, etc. Among them, the memory 101 is used to store programs. After receiving an execution instruction, the processor 100 executes the program. Any implementation manner disclosed in the embodiments of the present application can be applied to or implemented by the processor 100.

[0106] The processor 100 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit in the hardware of the processor 100 or by instructions in the form of software. The above-mentioned processor 100 can be a general-purpose processor, which may include a central processing unit (CPU for short), a network processor (NP for short), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as being executed and completed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory 101, and the processor 100 reads the information in the memory 101 and combines its hardware to complete the steps of the above method.

[0107] The electronic device provided by the embodiments of the present application and the method provided by the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, run, or implemented by it.

[0108] Another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. The computer program is executed by a processor to implement the method of any of the above implementation manners. Refer to Figure 8 As shown, the computer-readable storage medium shown is an optical disc 20, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will execute the method provided by any of the above implementation manners.

[0109] It should be noted that examples of computer-readable storage media may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other optical and magnetic storage media, which will not be elaborated here one by one.

[0110] The computer-readable storage medium provided by the above embodiments of the present application and the method provided by the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run, or implemented by the application programs stored therein.

[0111] It should be noted that: The term "module" is not intended to be limited to a specific physical form. Depending on the specific application, a module can be implemented as hardware, firmware, software, and / or a combination thereof. In addition, different modules can share common components or even be implemented by the same components. There may or may not be a clear boundary between different modules.

[0112] The algorithms and displays provided herein are not inherently related to any specific computer, virtual device, or other equipment. Various general-purpose devices can also be used in conjunction with the examples based herein. Based on the above description, the structures required to construct such devices are obvious. In addition, the present application is not directed to any specific programming language. It should be understood that the content of the present application described herein can be implemented using various programming languages, and the descriptions of specific languages above are for disclosing the best implementation manners of the present application.

[0113] It should be understood that although the steps in the flowchart of the drawings are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps is not strictly restricted in order and can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment but can be executed at different moments, and their execution order is not necessarily sequential but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0114] The above embodiments only represent the implementation manners of the present application, and their descriptions are relatively specific and detailed, but should not be construed as a limitation on the patent scope of the present application. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A battery temperature prediction method, characterized in that, Including: Performing charge and discharge tests on a target battery to obtain test data of the target battery, where the test data includes the voltage and current of the target battery during the charge and discharge tests; Based on the voltage and current of the test data, obtaining the ratio of the discharge energy to the charge energy of the charge and discharge test to obtain the current energy efficiency of the target battery; According to the current energy efficiency and a preset corresponding relationship, obtaining the current temperature of the target battery; the preset corresponding relationship at least includes a first corresponding relationship between the energy efficiency of the target battery and the surface temperature of the target battery.

2. The method according to claim 1, wherein The voltage and current of the test data include the real-time discharge voltage, real-time discharge current, real-time charge voltage, and real-time charge current of the target battery during the charge and discharge tests; The obtaining the ratio of the discharge energy to the charge energy of the charge and discharge test based on the voltage and current of the test data to obtain the current energy efficiency of the target battery includes: Based on the voltage and current of the test data, obtaining the first discharge energy and the first charge energy of the charge and discharge test; the first discharge energy is the cumulative discharge energy generated by the real-time discharge voltage and the real-time discharge current over the time interval of the charge process of the charge and discharge test; the first charge energy is the cumulative charge energy generated by the real-time charge voltage and the real-time charge current over the time interval of the discharge process of the charge and discharge test; Obtaining a first ratio of the first discharge energy to the first charge energy, where the first ratio is the current energy efficiency of the target battery.

3. The method according to claim 1 or 2, characterized in that, The obtaining the current temperature of the target battery according to the current energy efficiency and the preset corresponding relationship includes: Substituting the current energy efficiency into the function expression representing the first corresponding relationship to calculate and obtain the current surface temperature of the target battery; the function expression is a polynomial function of one variable with the surface temperature of the target battery as the dependent variable and the energy efficiency of the target battery as the independent variable.

4. The method according to claim 1, wherein The preset corresponding relationship further includes a second corresponding relationship among the internal temperature of the target battery, the surface temperature of the target battery, and the ambient temperature of the target battery; The obtaining the current temperature of the target battery according to the current energy efficiency and the preset corresponding relationship includes: Obtaining the current surface temperature of the target battery based on the first corresponding relationship; According to the current surface temperature of the target battery, the current ambient temperature of the target battery, and the second corresponding relationship, obtaining the current internal temperature of the target battery.

5. The method according to claim 4, wherein The obtaining the current internal temperature of the target battery according to the current surface temperature of the target battery, the current ambient temperature of the target battery, and the second corresponding relationship includes: Substituting the current surface temperature of the target battery and the current ambient temperature of the target battery into the function expression representing the second corresponding relationship to calculate and obtain the current internal temperature of the target battery.

6. The method according to claim 1 or 2, characterized in that, The obtaining of the first corresponding relationship includes: Perform multiple first calibration tests on the first battery, and obtain the battery surface temperature, second discharge energy, and second charge energy for each first calibration test; the model of the first battery is the same as the model of the target battery; the second discharge energy is the cumulative charge energy generated by the real-time discharge voltage and real-time discharge current of the first calibration test during the discharge process time interval of the first calibration test; the second charge energy is the cumulative charge energy generated by the real-time charge voltage and real-time charge current of the first calibration test during the charge process time interval of the first calibration test; For each of the first calibration tests, obtain the second ratio of the second discharge energy to the second charge energy in the first calibration test, and the second ratio is the energy efficiency of the first calibration test; Based on the energy efficiency and battery surface temperature of the multiple first calibration tests, fit to obtain the first corresponding relationship.

7. The method according to claim 6, characterized in that, Obtaining the battery surface temperature for each first calibration test includes: For each of the first calibration tests, during the first calibration test, detect the ambient temperature of the battery multiple times to obtain multiple temperature detection values; Calculate the average value of the multiple temperature detection values to obtain the battery surface temperature of the first calibration test.

8. The method according to claim 6, wherein The method further includes: During the process of performing multiple first calibration tests on the first battery, also obtain the battery internal temperature and the ambient temperature of the battery for each first calibration test; Based on the battery surface temperature, the battery internal temperature, and the ambient temperature of the battery in the multiple first calibration tests, fit to obtain a second corresponding relationship; the second corresponding relationship is the corresponding relationship among the battery internal temperature, the battery surface temperature, and the ambient temperature of the battery.

9. A battery temperature prediction device, characterized in that, Includes: A charge and discharge test module for performing a charge and discharge test on the target battery to obtain test data of the target battery, where the test data includes the voltage and current of the target battery during the charge and discharge test; An energy efficiency determination module for obtaining the ratio of the discharge energy to the charge energy of the charge and discharge test based on the voltage and current of the test data to obtain the current energy efficiency of the target battery; A battery temperature acquisition module for obtaining the current temperature of the target battery according to the current energy efficiency and a preset corresponding relationship; the preset corresponding relationship at least includes the first corresponding relationship between the energy efficiency of the target battery and the target battery surface temperature.

10. An electronic device, characterized in that, Includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the battery temperature prediction method according to any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is executed by the processor to implement the battery temperature prediction method according to any one of claims 1-8.

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