Battery peak power correction method and device, equipment and storage medium

Abstract

The invention relates to a battery peak power correction method and device, equipment and a storage medium. The method comprises the steps of obtaining battery parameters corresponding to a vehicle battery; determining current ohmic internal resistance corresponding to the battery parameters; according to the battery model corresponding to the vehicle battery, obtaining corresponding initial ohmic internal resistance and cut-off ohmic internal resistance of the vehicle battery in the battery life interval; and determining a peak power initial value corresponding to the battery parameter, and correcting the peak power initial value by using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to obtain a peak power correction value. According to the method, the ohmic internal resistance change in the service life interval of the battery is considered, the peak power initial value is corrected, the accurate peak power correction value closest to the actual state of the vehicle battery is output, and the problem that the battery management system reports an undervoltage or overvoltage fault due to the inaccurate peak power value is avoided.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device, equipment and storage medium for correcting battery peak power (state of power, referred to as SOP). Background Art

[0002] The power performance of batteries has always been a focus of attention for electric vehicles, especially when calibrating electric vehicles in winter and summer. It is even more necessary to test the power performance of batteries in order to obtain a method that can correctly estimate the SOP. Because if the peak power of the battery cannot be correctly estimated, then the battery will be prone to overvoltage or undervoltage problems under extreme operating conditions of overcooling or overheating, which will cause the battery system to send an alarm signal to the entire vehicle and cause irreversible damage to the health of the battery.

[0003] At present, the estimation of battery SOP mainly relies on the interpolation table provided by the battery core R&D department. The interpolation table is a three-dimensional interpolation table of SOP-SOC-temperature obtained by the battery core R&D department through repeated experiments to demonstrate the corresponding relationship between SOP, battery state of charge (State of Charge, referred to as SOC) and temperature. In other words, the current interpolation table is used to record the SOP value corresponding to the battery at different SOC and different temperatures, so that after obtaining the current SOC value and temperature value, the current SOP value can be obtained by querying the interpolation table. However, it is found that the SOP value obtained by querying the interpolation table is less accurate during the use of the interpolation table. If the SOP value obtained by directly querying the interpolation table is used, the battery management system (Battery Management System, referred to as BMS) will still report undervoltage or overvoltage faults. Therefore, how to provide a SOP estimation method with higher accuracy has become a problem to be solved in this field. Summary of the invention

[0004] The present application provides a method, device, equipment and storage medium for correcting battery peak power to solve the problem of low accuracy of peak power values ​​obtained by querying an interpolation table.

[0005] In view of the above technical problems, the technical solution of this application is solved by the following embodiments:

[0006] An embodiment of the present application provides a method for correcting battery peak power, including: obtaining battery parameters corresponding to a vehicle battery; determining a current ohmic internal resistance corresponding to the battery parameters; obtaining an initial ohmic internal resistance and a cutoff ohmic internal resistance corresponding to the vehicle battery within a battery life range according to a battery model corresponding to the vehicle battery; determining an initial peak power value corresponding to the battery parameters, and, using the current ohmic internal resistance, the initial ohmic internal resistance and the cutoff ohmic internal resistance, correcting the initial peak power value to obtain a corrected peak power value.

[0007] Wherein, the determining of the current ohmic internal resistance corresponding to the battery parameters comprises: determining the current ohmic internal resistance corresponding to the battery parameters by using a pre-trained ohmic internal resistance calculation model; wherein, before training the ohmic internal resistance calculation model, performing the following operations at each cycle stage of the sample battery of the battery model: at each preset initial sample state of charge value, using each preset sample discharge multiple respectively, performing a discharge test on the sample battery to determine the discharge curve and battery parameters corresponding to each sample discharge multiple; wherein the battery parameters at least include the current cycle stage and discharge current of the sample battery; for each sample discharge multiple, calculating the true ohmic internal resistance corresponding to the sample discharge multiple according to the discharge curve corresponding to the sample discharge multiple; and, determining the battery parameters corresponding to the sample discharge multiple as training samples, and setting the true ohmic internal resistance corresponding to the sample discharge multiple as the annotation of the training samples, so as to train the ohmic internal resistance calculation model using the annotated training samples.

[0008] The method of calculating the true ohmic internal resistance corresponding to the sample discharge multiple according to the discharge curve corresponding to the sample discharge multiple includes: obtaining a first discharge voltage, a second discharge voltage, a third discharge voltage, and a fourth discharge voltage in the discharge curve corresponding to the sample discharge multiple; wherein, in the discharge curve, the first discharge voltage is the discharge voltage corresponding to the discharge initial point; the second discharge voltage is the discharge voltage corresponding to the current change point; the third discharge voltage is the discharge voltage corresponding to the curve inflection point; and the fourth discharge voltage is the discharge voltage corresponding to the voltage stabilization point; obtaining the discharge current in the battery parameters corresponding to the sample discharge multiple; and calculating the true ohmic internal resistance corresponding to the sample discharge multiple according to the first discharge voltage, the second discharge voltage, the third discharge voltage, the fourth discharge voltage, and the discharge current.

[0009] Wherein, before obtaining the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life range according to the battery model corresponding to the vehicle battery, it also includes: identifying a test battery that meets the preset battery state and has the battery model; wherein the types of the battery state include: initial state and cutoff state; performing the following operations at each cycle stage of the test battery: at each preset initial test charge state value, using each preset test discharge multiple respectively, performing a discharge test on the test battery to determine the discharge curve corresponding to each test discharge multiple; for each test discharge multiple, calculating the ohmic internal resistance corresponding to the test discharge multiple according to the discharge curve corresponding to the test discharge multiple; selecting the ohmic internal resistance with the smallest value from the ohmic internal resistances calculated respectively at each of the cycle stages of the test battery; when the battery state of the test battery is the initial state, determining the ohmic internal resistance with the smallest value as the initial ohmic internal resistance; when the battery state of the test battery is the cutoff state, determining the ohmic internal resistance with the smallest value as the cutoff ohmic internal resistance.

[0010] Among them, the identification of a test battery that meets a preset battery state and has a model of the battery model includes: among the test batteries of the battery model, identifying a test battery that is in the first cycle stage as a test battery with a battery state of an initial state; among the test batteries of the battery model, identifying a test battery whose discharge voltage is less than or equal to a preset cut-off voltage as a test battery with a battery state of a cut-off state.

[0011] Among them, determining the peak power initial value corresponding to the battery parameters includes: in the peak power mapping relationship corresponding to the current environmental parameters, querying the peak power prediction value corresponding to the charge state value, discharge voltage and discharge current in the battery parameters; obtaining a preset peak power interpolation value; and taking the minimum value between the peak power prediction value and the peak power interpolation value as the peak power initial value.

[0012] Among them, the use of the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to correct the peak power includes: calculating a correction coefficient based on the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance; calculating the product of the correction coefficient and the initial value of the peak power corresponding to the battery parameter, and using the product as the peak power correction value.

[0013] An embodiment of the present application also provides a battery peak power correction device, including: a first acquisition module, used to obtain battery parameters corresponding to a vehicle battery; a determination module, used to determine the current ohmic internal resistance corresponding to the battery parameters; a second acquisition module, used to obtain the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life range according to the battery model corresponding to the vehicle battery; a correction module, used to determine the peak power initial value corresponding to the battery parameters, and, using the current ohmic internal resistance, the initial ohmic internal resistance and the cutoff ohmic internal resistance, correct the peak power initial value to obtain a peak power correction value.

[0014] An embodiment of the present application also provides a battery peak power correction device, comprising: at least one communication interface; at least one bus connected to the at least one communication interface; at least one processor connected to the at least one bus; and at least one memory connected to the at least one bus, wherein the processor is configured to: execute a battery peak power correction program stored in the memory to implement any of the above-mentioned battery peak power correction methods.

[0015] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed to implement any of the above-mentioned methods for correcting the peak power of a battery.

[0016] The above technical solution provided by the embodiment of the present application has the following advantages over the prior art: the method provided by the embodiment of the present application can obtain the battery parameters corresponding to the vehicle battery; determine the current ohmic internal resistance corresponding to the battery parameters; obtain the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the vehicle battery within the battery life range according to the battery model corresponding to the vehicle battery; determine the initial peak power value corresponding to the battery parameters, and use the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to correct the initial peak power value to obtain a peak power correction value. The embodiment of the present application takes into account the impact of ohmic internal resistance on peak power, considers the change of ohmic internal resistance within the service life range of the vehicle battery as a dependent variable, corrects the initial peak power value obtained by looking up the table, and outputs a more accurate peak power correction value that is closest to the actual state of the vehicle battery, thereby avoiding the problem of the battery management system reporting undervoltage or overvoltage faults due to inaccurate peak power values. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0020] Figure 1 is a flow chart of a method for correcting battery peak power according to an embodiment of the present application;

[0021] Figure 2 The following is a flow chart of steps for obtaining training samples according to an embodiment of the present application;

[0022] Figure 3 is a schematic diagram of a discharge curve according to an embodiment of the present application;

[0023] Figure 4 is a flow chart of the steps for determining the initial ohmic internal resistance and the cut-off ohmic internal resistance according to an embodiment of the present application;

[0024] Figure 5 is a structural diagram of a battery peak power correction device according to an embodiment of the present application;

[0025] Figure 6 It is a structural diagram of a battery peak power correction device according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0027] The disclosure below provides many different embodiments or examples to realize the different structures of the present application. In order to simplify the disclosure of the present application, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present application. In addition, the present application can repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0028] The embodiment of the present application provides a method for correcting the peak power of a battery. The execution subject of the embodiment of the present application is a vehicle system. Furthermore, the execution subject of the embodiment of the present application is the application layer software execution of the BMS. Figure 1 , which is a flow chart of a method for correcting battery peak power according to an embodiment of the present application.

[0029] Step S110, obtaining battery parameters corresponding to the vehicle battery.

[0030] Types of vehicle batteries include, but are not limited to: lithium iron phosphate and ternary lithium batteries.

[0031] In an embodiment of the present application, battery parameters corresponding to the vehicle battery can be obtained while the vehicle is driving.

[0032] Battery parameters are used to indicate the current state of the vehicle battery. Battery parameters include: the charge state value, discharge multiple, discharge voltage, discharge current and the cycle stage of the vehicle battery at the current time. The cycle stage of the vehicle battery is determined based on the number of charge and discharge cycles currently in the vehicle battery and the number of charge and discharge cycles included in each cycle stage that is preset.

[0033] Specifically, according to the total number of charge and discharge cycles of the vehicle battery within the battery life range, the total number of charge and discharge cycles is divided into multiple cycle stages, and each cycle stage includes a preset number of charge and discharge cycles. After the vehicle battery begins to be used, the vehicle system records the number of charge and discharge cycles of the vehicle battery. According to the preset number of charge and discharge cycles included in each cycle stage, the cycle stage of the vehicle battery can be determined. For example: each cycle stage includes 50 cycles (i.e., 50 charge and discharge cycles), and the vehicle system records that the vehicle battery is currently in the 30th cycle, then it can be determined that the vehicle battery is in the first cycle stage.

[0034] The battery life range refers to the time period from the beginning of use of the vehicle battery to the end of its life.

[0035] The total number of charge and discharge cycles refers to the total number of charge and discharge cycles that a vehicle battery can complete within its battery life range. A charge and discharge cycle, also known as a cycle, refers to the process from the beginning of charging to the end of discharging a battery. Generally speaking, during the battery research and development stage, charge and discharge tests will be performed on batteries of the same battery model to determine the battery life range corresponding to the battery model and the total number of charge and discharge cycles that the battery can complete within the battery life range.

[0036] Step S120, determining the current ohmic internal resistance corresponding to the battery parameters.

[0037] In the embodiment of the present application, a pre-trained ohmic internal resistance calculation model may be used to determine the current ohmic internal resistance corresponding to the battery parameters.

[0038] The ohmic internal resistance calculation model is a pre-trained machine learning model used to determine the current ohmic internal resistance of the vehicle battery based on the battery parameters corresponding to the vehicle battery. The training process of the ohmic internal resistance calculation model will be described later, so it will not be repeated here.

[0039] The current ohmic internal resistance refers to the current ohmic internal resistance of the vehicle battery. In consideration of the fact that the ohmic internal resistance of the vehicle battery increases with the battery usage time, the embodiment of the present application uses an ohmic internal resistance calculation model to determine the current ohmic internal resistance corresponding to the battery parameters.

[0040] Step S130, obtaining the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life interval according to the battery model corresponding to the vehicle battery.

[0041] The initial ohmic internal resistance refers to the ohmic internal resistance of the vehicle battery in its initial state. The initial state refers to the battery state when the vehicle battery begins to be used.

[0042] End-of-life ohm resistance refers to the ohmic internal resistance of the vehicle battery in the end-of-life state. The end-of-life state refers to the battery state when the vehicle battery is about to end its life.

[0043] Specifically, during the battery development stage, during the charge and discharge test of the test battery of the battery model, the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the battery of the battery model within the battery life range are determined. The initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the battery of the battery model within the battery life range can be stored in the vehicle system.

[0044] Step S140, determining the peak power initial value corresponding to the battery parameter, and using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to correct the peak power initial value to obtain a peak power correction value.

[0045] In the embodiment of the present application, the peak power initial value corresponding to the battery parameter can be queried according to the preset peak power mapping relationship.

[0046] The peak power mapping relationship is used to characterize the mapping relationship between the charge state value, the discharge current, the discharge voltage and the peak power prediction value. Different peak power mapping relationships can be set in advance for different environmental parameters. The environmental parameters include: ambient temperature and / or ambient working conditions.

[0047] Furthermore, different peak power mapping relationships are set for different ambient temperature ranges. The peak power mapping relationship can be set as a peak power interpolation table. For example: an ambient temperature greater than 35 degrees corresponds to a peak power interpolation table; an ambient temperature less than or equal to 35 degrees and greater than or equal to minus 20 degrees corresponds to a peak power interpolation table; an ambient temperature less than minus 20 degrees and greater than minus 40 degrees corresponds to a peak power interpolation table.

[0048] Furthermore, the current environmental parameters are detected; in the peak power mapping relationship corresponding to the current environmental parameters, the peak power prediction value corresponding to the charge state value, discharge voltage and discharge current in the battery parameters is queried; a preset peak power interpolation value is obtained; and the minimum value between the peak power prediction value and the peak power interpolation value is used as the peak power initial value.

[0049] Peak power interpolation refers to: during the battery development stage, the power integration of the vehicle speed parameter during the period of extreme value is measured. In other words, the peak power interpolation is the instantaneous power value obtained by the battery factory through the pulse discharge current test. Generally speaking, the extreme state of the vehicle speed parameter will last for 10 seconds, and the peak power interpolation is the integral of the product of the current value and the voltage value within these 10 seconds.

[0050] A correction coefficient is calculated according to the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance; a product of the correction coefficient and the initial value of the peak power corresponding to the battery parameter is calculated, and the product is used as the peak power correction value.

[0051] For example, the following formula can be used to determine the correction factor and peak power correction value:

[0052]

[0053] Wherein, η represents the correction coefficient; R current Indicates the current ohmic internal resistance; R initial Represents the initial ohmic internal resistance; R end Indicates the cut-off ohmic internal resistance.

[0054] SOP 修正 =SOP 初始 *η;

[0055] Among them, SOP 修正 Indicates the peak power correction value; SOP 初始 Indicates the initial value of peak power.

[0056] In an embodiment of the present application, battery parameters corresponding to a vehicle battery are obtained; a current ohmic internal resistance corresponding to the battery parameters is determined; an initial ohmic internal resistance and a cutoff ohmic internal resistance corresponding to the vehicle battery within a battery life range are obtained based on a battery model corresponding to the vehicle battery; an initial peak power value corresponding to the battery parameters is determined, and the initial peak power value is corrected using the current ohmic internal resistance, the initial ohmic internal resistance and the cutoff ohmic internal resistance to obtain a corrected peak power value. The embodiments of the present application take into account the impact of ohmic internal resistance on peak power, because as the vehicle battery ages, the ohmic internal resistance of the vehicle battery will gradually increase. For example, the ohmic internal resistance of the battery is 10 milliohms when it leaves the factory. As it is used, the ohmic internal resistance changes to 20 milliohms at the end of its life. This change will cause the discharge current allowed to be output by the vehicle battery to decrease. Moreover, when the ohmic internal resistance is large, discharging with a larger current will cause the heat loss of the vehicle battery to be higher, and the vehicle battery will have the risk of spontaneous combustion. Therefore, the embodiments of the present application take the change of ohmic internal resistance within the service life range of the vehicle battery as a dependent variable, correct the initial peak power value obtained by looking up the table, and output a more accurate peak power correction value that is closest to the actual state of the vehicle battery, so as to avoid the problem of the battery management system reporting undervoltage or overvoltage faults due to inaccurate peak power values.

[0057] In order to make the present application easier to understand, the method for correcting the vehicle peak power of an embodiment of the present application will be further described below.

[0058] In the embodiment of the present application, before executing the battery peak power correction method, it is necessary to train the ohmic internal resistance calculation model. Before training the ohmic internal resistance calculation model, it is necessary to prepare training samples. The model of the training battery used in the training process is the same as the model of the vehicle battery.

[0059] Furthermore, the ohmic internal resistance calculation model can be a Thevenin model. The battery equivalent model is to model the relevant parameters inside the battery, such as ohmic internal resistance, polarization internal resistance, and other parameters that cannot be directly measured. By designing the corresponding formula by the battery equivalent model, the internal parameters or capacity state of the battery can be predicted. The Thevenin model adds polarization resistance and polarization capacitance on the basis of the Rint model (internal resistance model), which improves the accuracy of the model. Therefore, the Thevenin model is widely used. The Rint model is an internal resistance model. The origin of the internal resistance model is that it takes into account that when the battery is discharged, not all the energy is added to the load, but a part of it is consumed by its own internal resistance. Therefore, this part is visualized as a resistance model, but the model accuracy of Rint is not very high, and Thevenin can make up for this shortcoming.

[0060] like Figure 2FIG. 1 is a flow chart of steps for obtaining training samples according to an embodiment of the present application. Figure 2 The following table shows the performance of a sample battery of the same battery model in one cycle stage. Figure 2 Just execute it.

[0061] Before training the ohmic internal resistance calculation model, the following operations are performed at each cycle stage of the sample battery of the battery model:

[0062] Step S210, under each preset initial sample state of charge value, using each preset sample discharge multiple, performing a discharge test on the sample battery, and determining the discharge curve and battery parameters corresponding to each of the sample discharge multiples; wherein the battery parameters at least include the current cycle stage and discharge current of the sample battery.

[0063] The initial sample state of charge value refers to the state of charge value that the sample battery needs to have in this round of charging and discharging.

[0064] The sample discharge multiple refers to the discharge multiple that the sample battery needs to have during this charge and discharge.

[0065] The discharge curve refers to: the curve of the discharge voltage change during the current charge and discharge process. In the embodiment of the present application, different initial sample charge state values ​​and different sample discharge multiples can be selected to start the discharge experiment, and then the voltage curve can be obtained by static treatment.

[0066] Furthermore, multiple initial sample charge state values ​​and multiple sample discharge multiples are pre-set. The embodiment of the present application performs multiple rounds of charge and discharge experiments; each round of charge and discharge experiments uses one of the initial sample charge state values, and each round of charge and discharge experiments includes multiple charge and discharge experiments, and each charge and discharge experiment uses one of the sample discharge multiples.

[0067] Step S220 , for each of the sample discharge multiples, according to the discharge curve corresponding to the sample discharge multiple, calculating the true ohmic internal resistance corresponding to the sample discharge multiple.

[0068] The true ohmic internal resistance refers to the real ohmic internal resistance of the vehicle battery under the current initial sample state of charge value and the current sample discharge multiple. The true ohmic internal resistance is the real value when training the ohmic internal resistance calculation model.

[0069] In the discharge curve corresponding to the sample discharge multiple, a first discharge voltage, a second discharge voltage, a third discharge voltage, and a fourth discharge voltage are obtained; wherein, in the discharge curve, the first discharge voltage is the discharge voltage corresponding to the discharge initial point; the second discharge voltage is the discharge voltage corresponding to the current change point; the third discharge voltage is the discharge voltage corresponding to the curve inflection point; the fourth discharge voltage is the discharge voltage corresponding to the voltage stabilization point; in the battery parameters corresponding to the sample discharge multiple, the discharge current is obtained; according to the first discharge voltage and the second discharge voltage, the third discharge voltage and the fourth discharge voltage and the discharge current, the true ohmic internal resistance corresponding to the sample discharge multiple is calculated.

[0070] Furthermore, the positions of the discharge initial point, current change point, curve inflection point and voltage stabilization point can be determined in the discharge curve according to the slope change, wherein the slope refers to the slope of the tangent line of a point on the discharge curve.

[0071] The discharge initial point refers to the first point in the discharge curve. The voltage corresponding to the discharge initial point is the first discharge voltage.

[0072] The current change point is the point with the largest slope in the descending curve section of the discharge curve. The voltage corresponding to the current change point is the second discharge voltage. During the discharge process of the sample battery, the output current will change with the battery performance. At this current change point, the sample battery stops outputting current and the current changes. Starting from the current change point, the voltage changes from a rapid change to a slow change, causing the slope of the current change point to become steeper.

[0073] The curve inflection point is the inflection point of the discharge curve, and the curve inflection point is the point where the slope is the smallest in the descending curve section of the discharge curve. The voltage corresponding to the curve inflection point is the third discharge voltage.

[0074] The voltage stabilization point is the point with the smallest slope in the rising curve part of the discharge curve. The voltage corresponding to the voltage stabilization point is the fourth discharge point cloud. After the voltage stabilization point, the voltage fluctuation stops and does not change.

[0075] For example: Figure 3 Schematic diagram of a discharge curve according to an embodiment of the present application. Select the first discharge voltage U1 ( Figure 3 1) and the second discharge voltage U2 ( Figure 3 2) and the third discharge voltage U3 ( Figure 3 3) and the fourth discharge voltage U4 ( Figure 3 4); obtain the discharge current I from the battery parameters corresponding to the current sample discharge multiple; calculate the actual ohmic internal resistance R using the following formula a :

[0076]

[0077] Step S230, determining the battery parameters corresponding to the sample discharge multiples as training samples, and setting the true ohmic internal resistance corresponding to the sample discharge multiples as the annotation of the training samples, so as to train the ohmic internal resistance calculation model using the annotated training samples.

[0078] For example, at each cycle stage of the sample battery, the following steps are used to obtain training samples:

[0079] Step S1 : sequentially acquiring an initial sample charge state value from a plurality of preset initial sample charge state values.

[0080] Step S2, sequentially obtaining a sample discharge multiple from a plurality of preset sample discharge multiples.

[0081] Step S3, performing a discharge test on the sample battery at the current initial sample state of charge value and the current sample discharge multiple to determine the discharge curve and battery parameters.

[0082] Step S4, determining the true ohmic internal resistance according to the currently determined discharge curve; using the battery parameter as a training sample, and using the true ohmic internal resistance as a label for the battery parameter.

[0083] Step S5, determining whether all sample discharge multiples have been acquired; if yes, executing step S6; if not, executing step S2.

[0084] Step S6, determining whether all initial sample charge state values ​​have been acquired; if yes, ending the process; if no, executing step S1.

[0085] After obtaining multiple training samples, multiple trainings are performed on the ohmic internal resistance calculation model until the ohmic internal resistance calculation model converges. Specifically: in each training, the training sample is input into the ohmic internal resistance calculation model to obtain the predicted ohmic internal resistance output by the ohmic internal resistance calculation model; the loss value between the predicted ohmic internal resistance and the actual ohmic internal resistance marked by the training sample is calculated using a preset loss function; if the loss value is greater than or equal to the preset loss value, the parameters in the ohmic internal resistance calculation model are adjusted, and the next training is continued; if the loss value is less than the loss threshold, it is determined whether the ohmic internal resistance calculation model meets the preset convergence condition; if the convergence condition is met, it is determined that the ohmic internal resistance calculation model has converged and can be applied to the battery peak power correction method of the embodiment of the present application; if the convergence condition is not met, the next training is continued. Convergence conditions include: the ohmic internal resistance calculation model has reached a preset number of training times or the loss value of the ohmic internal resistance calculation model has been less than the loss threshold for a preset number of times.

[0086] In the embodiment of the present application, before executing the battery peak power correction method, it is necessary to determine the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life range.

[0087] Furthermore, a test battery that meets a preset battery state and has the battery model is identified; wherein the types of the battery state include: an initial state and a cut-off state.

[0088] Among the test batteries of the battery model, the test battery in the first cycle stage is identified as the test battery in the initial state. The first cycle stage refers to the first cycle stage after the test battery leaves the factory. The test battery in this cycle stage can be understood as a new battery with a small ohmic internal resistance.

[0089] Among the test batteries of the battery model, the test batteries whose discharge voltage is less than or equal to the preset cut-off voltage are identified as the test batteries whose battery status is the cut-off status. The cut-off voltage is used to measure whether the test battery is about to end its life. When the discharge voltage of the test battery is less than or equal to the cut-off voltage, it indicates that the test battery is about to end its life.

[0090] Further, at each cycle stage of a test battery that meets a preset battery state and has a model of the battery model, Figure 4 The steps shown can obtain the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the test battery.

[0091] Further, the model of the test battery is the same as the model of the vehicle battery.

[0092] like Figure 4 , which is a flow chart of the steps for determining the initial ohmic internal resistance and the cut-off ohmic internal resistance according to an embodiment of the present application.

[0093] Step S410 , at each preset initial test state of charge value, using each preset test discharge multiple respectively, performing a discharge test on the test battery, and determining a discharge curve corresponding to each of the test discharge multiples.

[0094] The initial test charge state value refers to the charge state value that the battery needs to have in this round of charging and discharging.

[0095] The test discharge multiple refers to the discharge multiple that the battery needs to have during this charge and discharge test.

[0096] The discharge curve refers to the change curve of the discharge voltage during the current charge and discharge process.

[0097] Furthermore, multiple initial test charge state values ​​and multiple test discharge multiples are preset. The embodiment of the present application performs multiple rounds of charge and discharge experiments; each round of charge and discharge experiments uses one of the initial test charge state values, and each round of charge and discharge experiments includes multiple charge and discharge experiments, and each charge and discharge experiment uses one of the test discharge multiples. For the specific process, please refer to Figure 3 Steps shown.

[0098] Step S420, for each of the test discharge multiples, according to the discharge curve corresponding to the test discharge multiple, calculating the ohmic internal resistance corresponding to the test discharge multiple.

[0099] In the discharge curve corresponding to the test discharge multiple, a first discharge voltage and a second discharge voltage and a third discharge voltage and a fourth discharge voltage are obtained; wherein the first discharge voltage and the second discharge voltage have the same slope, and the third discharge voltage and the fourth discharge voltage have the same slope; in the battery parameters corresponding to the test discharge multiple, a discharge current is obtained; and according to the first discharge voltage and the second discharge voltage, the third discharge voltage and the fourth discharge voltage and the discharge current, the ohmic internal resistance corresponding to the test discharge multiple is calculated.

[0100] Step S430, selecting the ohmic internal resistance with the smallest value from the ohmic internal resistances respectively calculated in each of the cycle stages of the test battery.

[0101] In each of the multiple cycle stages, multiple ohmic internal resistances can be calculated for each initial test state of charge value; among all the calculated ohmic internal resistances, a minimum value is selected. The minimum value is selected to represent the ohmic internal resistance of the test battery at the time when the test battery is the healthiest.

[0102] Step S440, when the battery state of the test battery is in the initial state, determining the ohmic internal resistance with the smallest value as the initial ohmic internal resistance; when the battery state of the test battery is in the cut-off state, determining the ohmic internal resistance with the smallest value as the cut-off ohmic internal resistance.

[0103] After obtaining the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the test battery within the battery life interval, the change range of the ohmic internal resistance of the test battery within the battery life interval can be determined. In addition, after obtaining the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the test battery within the battery life interval, the initial ohmic internal resistance and the cut-off ohmic internal resistance can be stored in the vehicle system. The battery model of the vehicle battery used in the vehicle system is the same as the battery model of the test battery.

[0104] If multiple test batteries of the same battery model are tested, the average value of the initial ohmic internal resistances corresponding to the multiple test batteries can be calculated as the initial ohmic internal resistance corresponding to the battery model, and the average value of the cutoff ohmic internal resistances corresponding to the multiple test batteries can be calculated as the cutoff ohmic internal resistance corresponding to the battery model.

[0105] In an embodiment of the present application, during the driving of the vehicle, a speed parameter of the vehicle is detected; when an extreme value of the speed parameter is detected, a battery parameter of the vehicle battery is acquired.

[0106] The vehicle speed parameter is used to indicate the current vehicle speed state of the vehicle. The vehicle speed parameter includes: the vehicle speed and / or the vehicle acceleration.

[0107] When the vehicle is driving, the speed and / or acceleration of the vehicle is constantly changing, and the changes in speed and acceleration are recorded. When the vehicle speed and / or acceleration are detected to be extreme, the battery parameters of the vehicle battery are obtained. The battery parameters include: the charge state value, discharge multiple, discharge voltage, discharge current and cycle stage of the vehicle battery at the current time.

[0108] Furthermore, when the vehicle speed reaches an extreme value, a CAN signal will be generated. Therefore, when the CAN signal is detected, it means that the vehicle speed extreme value is detected. Since the slope of the vehicle speed is acceleration, the slope change of the vehicle speed can be detected. When the slope reaches an extreme value, it means that the acceleration extreme value is detected.

[0109] In an embodiment of the present application, after the battery parameters of the vehicle battery are obtained, the battery parameters are first input into the trained ohmic internal resistance calculation model to obtain the current ohmic internal resistance corresponding to the battery parameters output by the ohmic internal resistance calculation model. Then, according to the battery model corresponding to the vehicle battery, the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the battery model are obtained from the vehicle system. Finally, the peak power initial value corresponding to the battery parameter is queried through the preset peak power mapping relationship, and the peak power initial value is corrected using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to obtain a peak power correction value.

[0110] The peak power mapping relationship can be embodied as a peak power interpolation table. The peak power interpolation table is obtained by adjusting the peak power basic interpolation table specified in the standard according to the environmental parameters. The standard is, for example, GBT 31467.1-2015. Furthermore, different peak power interpolation tables can be set for different environmental parameters.

[0111] Specifically, based on the preset peak power basic interpolation table, the battery can be tested for discharge under each environmental parameter in advance, and under each environmental parameter, the charge state value, discharge voltage, discharge current and peak power value in each group of mapping relationships are adjusted to form a peak power interpolation table corresponding to the environmental parameter. Environmental parameters include: ambient temperature and / or ambient working conditions.

[0112] Environmental conditions include but are not limited to: NEDC (New Europe Drive Cycle), WLTC (Worldwide Harmonized Light Vehicles Test Cycle), CLTC (China Light-duty Vehicle Test Cycle) and suburban extreme conditions.

[0113] For example: When adjusting the peak power basic interpolation table, consider temperature, uphill and downhill (environmental conditions) and vehicle speed: In winter scenarios, due to the low temperature in winter, the power generation performance of the battery will be reduced, so when adjusting the peak power basic interpolation table, at the same discharge voltage and discharge current, the peak power prediction value should be adjusted down. In summer scenarios, due to the high temperature in summer, the charging, discharging and power generation performance of the battery will be improved, so when adjusting the peak power basic interpolation table, at the same discharge voltage and discharge current, the peak power prediction value should be adjusted up. In uphill and acceleration scenarios, the vehicle's power system needs to provide more power to maintain or increase the vehicle speed, which increases the battery's discharge power demand. Therefore, at the same discharge voltage and discharge current, in order to cope with the increased power demand when going uphill or accelerating, the peak power prediction value should be increased, while in downhill and deceleration scenarios, the opposite is true, and the peak power prediction value needs to be reduced.

[0114] The peak power interpolation table is shown in Table 1. Of course, those skilled in the art should know that Table 1 is only used to illustrate the embodiment of the present application, and is not used to limit the embodiment of the present application.

[0115]

[0116]

[0117] Table 1

[0118] In Table 1, the values ​​in the environmental conditions column represent the corresponding relationship between the charge state value, discharge voltage, discharge current and peak power prediction value when the vehicle speed extreme value is detected under the environmental conditions. The extreme value in Table 1 is the vehicle speed extreme value v max and the acceleration extreme value a max The maximum value in .

[0119] At present, the peak power of the battery has always been the focus of battery manufacturers, and battery manufacturers have also invested a lot of equipment and manpower in order to have a deeper understanding of the power state of the battery and meet the power needs of consumers. In addition, the peak power of the battery has an important impact on the acceleration and other performance of electric vehicles. Therefore, accurately estimating the peak power of the battery has long-term significance for the healthy development of the battery industry. The embodiment of the present application considers the impact of ohmic internal resistance on the peak power of the battery, introduces the ohmic internal resistance of the vehicle battery, and corrects the peak power value to make the peak power value more accurate, so as to avoid the risk of over-discharge of the battery system and irreversible damage to the battery.

[0120] The embodiments of the present application can accurately estimate the peak power value of the battery, prevent the battery from being abused, causing overcharging or over-discharging of the battery, and protect the health of the battery; the embodiments of the present application can help the entire vehicle to more clearly understand the power of the current battery system and avoid complaints from customers when using it; the embodiments of the present application help to standardize the functions of industry algorithm software and make it easier to upgrade and iterate.

[0121] The present application also provides a battery peak power correction device. Figure 5 , which is a structural diagram of a battery peak power correction device according to an embodiment of the present application.

[0122] The battery peak power correction device comprises:

[0123] The first acquisition module 510 is used to acquire battery parameters corresponding to the vehicle battery.

[0124] The determination module 520 is used to determine the current ohmic internal resistance corresponding to the battery parameter.

[0125] The second acquisition module 530 is used to acquire the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life range according to the battery model corresponding to the vehicle battery.

[0126] The correction module 540 is used to determine the initial peak power value corresponding to the battery parameter, and to correct the initial peak power value by using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to obtain a peak power correction value.

[0127] The functions of the device described in the embodiment of the present application have been described in the above method embodiment. Therefore, for any details not provided in the description of this embodiment, please refer to the relevant descriptions in the above embodiment and will not be repeated here.

[0128] The present application also provides a battery peak power correction device, such as Figure 6, which is a structural diagram of a battery peak power correction device according to an embodiment of the present application.

[0129] The battery peak power correction device includes: a processor 610, a communication interface 620, a memory 630 and a communication bus 640. The processor 610, the communication interface 620 and the memory 630 communicate with each other through the communication bus 640.

[0130] The memory 630 is used to store computer programs.

[0131] In one embodiment of the present application, the processor 610, when executing the program stored in the memory 630, implements the battery peak power correction method provided by any of the aforementioned method embodiments, including: obtaining battery parameters corresponding to the vehicle battery; determining the current ohmic internal resistance corresponding to the battery parameters; obtaining the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life range according to the battery model corresponding to the vehicle battery; determining the peak power initial value corresponding to the battery parameters, and using the current ohmic internal resistance, the initial ohmic internal resistance and the cutoff ohmic internal resistance to correct the peak power initial value to obtain a peak power correction value.

[0132] Wherein, the determining of the current ohmic internal resistance corresponding to the battery parameters comprises: determining the current ohmic internal resistance corresponding to the battery parameters by using a pre-trained ohmic internal resistance calculation model; wherein, before training the ohmic internal resistance calculation model, performing the following operations at each cycle stage of the sample battery of the battery model: at each preset initial sample state of charge value, using each preset sample discharge multiple respectively, performing a discharge test on the sample battery to determine the discharge curve and battery parameters corresponding to each sample discharge multiple; wherein the battery parameters at least include the current cycle stage and discharge current of the sample battery; for each sample discharge multiple, calculating the true ohmic internal resistance corresponding to the sample discharge multiple according to the discharge curve corresponding to the sample discharge multiple; and, determining the battery parameters corresponding to the sample discharge multiple as training samples, and setting the true ohmic internal resistance corresponding to the sample discharge multiple as the annotation of the training samples, so as to train the ohmic internal resistance calculation model using the annotated training samples.

[0133] The method of calculating the true ohmic internal resistance corresponding to the sample discharge multiple according to the discharge curve corresponding to the sample discharge multiple includes: obtaining a first discharge voltage, a second discharge voltage, a third discharge voltage, and a fourth discharge voltage in the discharge curve corresponding to the sample discharge multiple; wherein, in the discharge curve, the first discharge voltage is the discharge voltage corresponding to the discharge initial point; the second discharge voltage is the discharge voltage corresponding to the current change point; the third discharge voltage is the discharge voltage corresponding to the curve inflection point; and the fourth discharge voltage is the discharge voltage corresponding to the voltage stabilization point; obtaining the discharge current in the battery parameters corresponding to the sample discharge multiple; and calculating the true ohmic internal resistance corresponding to the sample discharge multiple according to the first discharge voltage, the second discharge voltage, the third discharge voltage, the fourth discharge voltage, and the discharge current.

[0134] Wherein, before obtaining the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life range according to the battery model corresponding to the vehicle battery, it also includes: identifying a test battery that meets the preset battery state and has the battery model; wherein the types of the battery state include: initial state and cutoff state; performing the following operations at each cycle stage of the test battery: at each preset initial test charge state value, using each preset test discharge multiple respectively, performing a discharge test on the test battery to determine the discharge curve corresponding to each test discharge multiple; for each test discharge multiple, calculating the ohmic internal resistance corresponding to the test discharge multiple according to the discharge curve corresponding to the test discharge multiple; selecting the ohmic internal resistance with the smallest value from the ohmic internal resistances calculated respectively at each of the cycle stages of the test battery; when the battery state of the test battery is the initial state, determining the ohmic internal resistance with the smallest value as the initial ohmic internal resistance; when the battery state of the test battery is the cutoff state, determining the ohmic internal resistance with the smallest value as the cutoff ohmic internal resistance.

[0135] Among them, the identification of a test battery that meets a preset battery state and has a model of the battery model includes: among the test batteries of the battery model, identifying a test battery that is in the first cycle stage as a test battery with a battery state of an initial state; among the test batteries of the battery model, identifying a test battery whose discharge voltage is less than or equal to a preset cut-off voltage as a test battery with a battery state of a cut-off state.

[0136] Among them, determining the peak power initial value corresponding to the battery parameter according to the preset peak power interpolation table includes: in the peak power mapping relationship corresponding to the current environmental parameters, querying the peak power prediction value corresponding to the charge state value, discharge voltage and discharge current in the battery parameters; obtaining the preset peak power interpolation; and taking the minimum value between the peak power prediction value and the peak power interpolation as the peak power initial value.

[0137] Among them, the use of the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to correct the peak power includes: calculating a correction coefficient based on the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance; calculating the product of the correction coefficient and the initial value of the peak power corresponding to the battery parameter, and using the product as the peak power correction value.

[0138] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for correcting the peak power of a battery as provided in any of the above method embodiments are implemented. Since the method for correcting the peak power of a battery has been described in detail above, for any details not fully described in the description of this embodiment, please refer to the relevant descriptions in the above embodiments, and no further description will be given here.

[0139] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0140] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0141] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0142] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A method for correcting battery peak power, characterized in that: include: Get the battery parameters corresponding to the vehicle battery; Determine the current ohmic internal resistance corresponding to the battery parameters; According to the battery model corresponding to the vehicle battery, obtaining the initial ohmic internal resistance and the cut-off ohmic internal resistance corresponding to the vehicle battery within the battery life range; The peak power initial value corresponding to the battery parameter is determined, and the peak power initial value is corrected by using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to obtain a peak power correction value.

2. The method according to claim 1, characterized in that: The determining the current ohmic internal resistance corresponding to the battery parameter includes: The current ohmic internal resistance corresponding to the battery parameter is determined by using a pre-trained ohmic internal resistance calculation model; wherein, before training the ohmic internal resistance calculation model, the following operations are performed at each cycle stage of the sample battery of the battery model: Under each preset initial sample state of charge value, each preset sample discharge multiple is used to perform a discharge test on the sample battery to determine the discharge curve and battery parameters corresponding to each sample discharge multiple; wherein the battery parameters at least include the current cycle stage and discharge current of the sample battery; For each of the sample discharge multiples, the true ohmic internal resistance corresponding to the sample discharge multiple is calculated according to the discharge curve corresponding to the sample discharge multiple; and the battery parameters corresponding to the sample discharge multiple are determined as training samples, and the true ohmic internal resistance corresponding to the sample discharge multiple is set as the annotation of the training sample, so as to train the ohmic internal resistance calculation model using the annotated training samples.

3. The method according to claim 2, characterized in that The calculating, according to the discharge curve corresponding to the sample discharge multiple, the true ohmic internal resistance corresponding to the sample discharge multiple includes: In the discharge curve corresponding to the sample discharge multiple, a first discharge voltage, a second discharge voltage, a third discharge voltage and a fourth discharge voltage are obtained; wherein, in the discharge curve, the first discharge voltage is the discharge voltage corresponding to the discharge initial point; the second discharge voltage is the discharge voltage corresponding to the current change point; the third discharge voltage is the discharge voltage corresponding to the curve inflection point; the fourth discharge voltage is the discharge voltage corresponding to the voltage stabilization point; Obtaining a discharge current from the battery parameters corresponding to the sample discharge multiple; The true ohmic internal resistance corresponding to the sample discharge multiple is calculated according to the first discharge voltage and the second discharge voltage, the third discharge voltage and the fourth discharge voltage, and the discharge current.

4. The method according to claim 1, characterized in that: Before obtaining the initial ohmic internal resistance and the cutoff ohmic internal resistance corresponding to the vehicle battery within the battery life interval according to the battery model corresponding to the vehicle battery, the method further includes: Identify a test battery that meets a preset battery state and has the battery model; wherein the types of the battery state include: an initial state and a cut-off state; The following operations were performed at each cycle stage of the test cell: Under each preset initial test state of charge value, using each preset test discharge multiple respectively, performing a discharge test on the test battery, and determining a discharge curve corresponding to each of the test discharge multiples; For each of the test discharge multiples, according to the discharge curve corresponding to the test discharge multiple, the ohmic internal resistance corresponding to the test discharge multiple is calculated; Among the ohmic internal resistances respectively calculated at each of the cycle stages of the test battery, selecting the ohmic internal resistance with the smallest value; When the battery state of the test battery is an initial state, the ohmic internal resistance with the smallest value is determined as the initial ohmic internal resistance; when the battery state of the test battery is a cut-off state, the ohmic internal resistance with the smallest value is determined as the cut-off ohmic internal resistance.

5. The method according to claim 4, characterized in that The step of identifying a test battery that meets a preset battery state and has a model of the battery model includes: Among the test batteries of the battery model, identifying the test battery in the first cycle stage as the test battery with the battery state being the initial state; Among the test batteries of the battery model, the test batteries whose discharge voltage is less than or equal to the preset cut-off voltage are identified as the test batteries whose battery status is the cut-off status.

6. The method according to claim 1, characterized in that The determining the initial value of the peak power corresponding to the battery parameter includes: In the peak power mapping relationship corresponding to the current environmental parameters, query the peak power prediction value corresponding to the charge state value, discharge voltage and discharge current in the battery parameters; Get the preset peak power interpolation; The minimum value between the peak power prediction value and the peak power interpolation value is used as the peak power initial value.

7. The method according to claim 1, characterized in that The method of correcting the peak power by using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance includes: Calculating a correction coefficient according to the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance; The product of the correction coefficient and the peak power initial value corresponding to the battery parameter is calculated, and the product is used as the peak power correction value.

8. A battery peak power correction device, characterized in that: include: A first acquisition module, used to acquire battery parameters corresponding to the vehicle battery; A determination module, used to determine the current ohmic internal resistance corresponding to the battery parameter; A second acquisition module, used to acquire an initial ohmic internal resistance and a cutoff ohmic internal resistance corresponding to the vehicle battery within a battery life range according to a battery model corresponding to the vehicle battery; The correction module is used to determine the peak power initial value corresponding to the battery parameter, and to correct the peak power initial value by using the current ohmic internal resistance, the initial ohmic internal resistance and the cut-off ohmic internal resistance to obtain a peak power correction value.

9. A battery peak power correction device, characterized in that: include: at least one communication interface; at least one bus connected to the at least one communication interface; at least one processor coupled to the at least one bus; At least one memory connected to the at least one bus, wherein the processor is configured to: execute a battery peak power correction program stored in the memory to implement the battery peak power correction method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed to implement the battery peak power correction method according to any one of claims 1 to 7.

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