A battery assembly can use a discharge capacity control method, system, device, and medium

Abstract

The application provides a battery assembly available discharge capacity control method, system, device and medium, comprising: obtaining user demand, determining a promotion target of battery assembly available discharge capacity in a low temperature environment according to the user demand; calling a key parameter affecting low temperature battery discharge capacity to generate a to-be-tested factor, the key parameter being multiple; testing the to-be-tested factor according to a preset simulation test tool to obtain a test result; establishing a mapping relationship formula of the to-be-tested factor and the low temperature battery available discharge capacity according to the test result; determining an optimal value of each key parameter according to the mapping relationship formula, and if the optimal value meets the promotion target, outputting the optimal value of the key parameter for battery available discharge capacity control. The application can effectively improve the control precision of maximizing battery assembly available discharge capacity.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy vehicle power battery, in particular to a battery assembly available discharge capacity control method, system, device and medium. BACKGROUND

[0002] The power battery is the only energy source of the electric vehicle, and provides energy conversion for driving the facilities in the electric vehicle. For example, providing kinetic energy for driving the electric vehicle, or providing electric energy for the air conditioning system in the electric vehicle, etc. The endurance mileage of the electric vehicle directly affects the vehicle experience, and the discharge capacity of the power battery directly determines the endurance mileage of the electric vehicle. The temperature of the power battery is one of the important factors affecting the available discharge capacity of the power battery, especially in low temperature environment. Therefore, it is extremely important to improve the available discharge capacity of the power battery assembly in low temperature environment.

[0003] The main means to improve the available discharge capacity of the battery assembly in low temperature environment is to heat the battery assembly through the thermal management system, so as to improve the available discharge capacity of the battery assembly. In the existing new energy vehicle thermal management control technology, the thermal management system is usually controlled based on the temperature of the current battery assembly to heat or cool the battery assembly. In low temperature environment, the common heating control strategy is to start the PTC or heating device to heat the battery assembly when the temperature of the battery assembly is lower than a certain temperature threshold, and to stop the PTC or heating device when the temperature of the battery assembly is higher than a certain temperature threshold. However, the energy for heating comes from the power battery, on the one hand, heating consumes the power of the power battery, on the other hand, heating improves the available capacity of the battery, but the two are not balanced. SUMMARY

[0004] In view of the problems existing in the prior art, the present application provides a battery assembly available discharge capacity control method, system, device and medium, which mainly solves the problem that the heating energy consumption and the available capacity improvement are difficult to balance.

[0005] In order to achieve the above purpose and other purposes, the technical scheme adopted by the present application is as follows.

[0006] The present application provides a battery assembly available discharge capacity control method, comprising:

[0007] Obtaining user demand, and determining the improvement target of the available discharge capacity of the battery assembly in low temperature environment according to the user demand;

[0008] Calling key parameters affecting the discharge capacity of the low temperature battery to generate test factors, the key parameters being multiple;

[0009] Testing the test factors according to the preset simulation test tool to obtain test results;

[0010] establish a mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery according to the test results;

[0011] determine optimal values of each key parameter according to the mapping relationship, and if the optimal values meet the promotion target, output the optimal values of the key parameters for battery available discharge capacity control.

[0012] In an embodiment of the present application, the promotion target of the battery assembly available discharge capacity in a low-temperature environment is determined according to the user demand, including:

[0013] obtain a description text of the user demand;

[0014] perform feature extraction on the description text to obtain demand features;

[0015] calculate a correlation coefficient of the demand features and preset target features, and output demand features with a correlation coefficient higher than a preset threshold to a target terminal for promotion target setting.

[0016] In an embodiment of the present application, the key parameters include whether motor waste heat is used for battery assembly heating, a threshold of battery state of charge control when the heating system is turned on, and a threshold of temperature control when the heating system is turned off.

[0017] In an embodiment of the present application, the to-be-tested factors are tested according to a preset simulation test tool, including:

[0018] perform test combination based on multiple level parameters preset for each to-be-tested factor to obtain multiple combination items;

[0019] test each combination item through the simulation test tool to obtain a battery available discharge capacity result of each combination item as the test result.

[0020] In an embodiment of the present application, the mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery is established according to the test results, including:

[0021] construct a mathematical model according to the battery available discharge capacity results of each data item, and establish the mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery through the mathematical model, wherein the way of constructing the mathematical model includes Plato, normal distribution graph, residual graph, or main effect-interaction effect graph.

[0022] In an embodiment of the present application, the optimal values of each key parameter are determined according to the mapping relationship, including:

[0023] Optimize the value of the to-be-tested factor in the mapping relationship with the maximum available discharge capacity of the battery assembly as the target, to obtain an optimal combination mode of the to-be-tested factor and an optimal value of a key parameter corresponding to the optimal combination mode.

[0024] In an embodiment of the present application, before outputting the optimal value of the key parameter for battery available discharge capacity control, the method further comprises:

[0025] Inputting the optimal value of the key parameter into a preset simulation control model, and determining the optimal value of the key parameter as the output after the simulation control model determines that the promotion target is met under the optimal value of the key parameter.

[0026] The present application also provides a battery assembly available discharge capacity control system, comprising:

[0027] A target acquisition module is configured to acquire user demand and determine a promotion target of the available discharge capacity of the battery assembly in a low-temperature environment according to the user demand.

[0028] A parameter calling module is configured to call key parameters affecting the discharge capacity of the low-temperature battery to generate to-be-tested factors, wherein the key parameters are multiple.

[0029] A simulation test module is configured to test the to-be-tested factors according to a preset simulation test tool to obtain a test result.

[0030] A mapping module is configured to establish a mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery according to the test result.

[0031] A parameter output module is configured to determine an optimal value of each key parameter according to the mapping relationship, and output the optimal value of the key parameter for battery available discharge capacity control if the optimal value meets the promotion target.

[0032] The present application also provides a computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the battery assembly available discharge capacity control method when executing the computer program.

[0033] The present application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the battery assembly available discharge capacity control method.

[0034] As described above, the battery assembly available discharge capacity control method, system, device, and medium of the present application have the following beneficial effects.

[0035] The application obtains a user demand, determines a promotion target of a dischargeable capacity of a battery assembly in a low-temperature environment according to the user demand, calls key parameters affecting the dischargeable capacity of the low-temperature battery to generate test factors, the key parameters are multiple, tests the test factors according to a preset simulation test tool to obtain a test result, establishes a mapping relationship between the test factors and the dischargeable capacity of the low-temperature battery according to the test result, determines an optimal value of each key parameter according to the mapping relationship, and if the optimal value meets the promotion target, outputs the optimal value of the key parameter for battery dischargeable capacity control. The application performs simulation test on key parameters based on the promotion target of the user demand, and determines an optimal value of the key parameters meeting the user demand based on the test result, so as to perform thermal management control according to the optimal value, improve the control precision of the dischargeable capacity, and maximize the satisfaction of the user demand. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 A flowchart of a battery assembly dischargeable capacity control method in an embodiment of the application.

[0037] Figure 2 An experimental combination in an embodiment of the application.

[0038] Figure 3 A module diagram of a battery assembly dischargeable capacity control system in an embodiment of the application.

[0039] Figure 4 A structural diagram of an apparatus in an embodiment of the application. DETAILED DESCRIPTION

[0040] The embodiments of the application will be described in detail with specific reference to accompanying drawings. The skilled in the art can easily understand other advantages and effects of the application from the content disclosed in the specification. The application can also be implemented or applied by different specific embodiments, and the details in the specification can be modified or changed based on different views and applications without departing from the spirit of the application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0041] It should be noted that the diagrams provided in the following embodiments only schematically illustrate the basic concept of the application, and only the components related to the application are shown in the diagrams, not the number, shape and size of the components in actual implementation. The shapes, number and proportions of the components in actual implementation can be randomly changed, and the layout pattern of the components can be more complex.

[0042] In an embodiment, since only the motor waste heat is effectively utilized, the motor waste heat is introduced into the power battery thermal management control loop under certain conditions to control the battery temperature, so as to maximize the available discharge capacity of the power battery assembly. Therefore, the present application provides a battery assembly available discharge capacity control method, system, device and medium, and the technical scheme of the present application will be described in detail below in combination with specific embodiments.

[0043] Please refer to Figure 1 The present application provides a battery assembly available discharge capacity control method, which comprises the following steps.

[0044] Step S100, obtaining user demand, and determining the improvement target of the available discharge capacity of the battery assembly in a low-temperature environment according to the user demand. The target of the available discharge capacity of the battery assembly to be improved in a low-temperature environment is N% of the available discharge capacity of the battery assembly in a normal-temperature environment. The value of N can be set according to actual user demand, which is not limited here.

[0045] In an embodiment, the target of the available discharge capacity of the battery assembly to be improved in a low-temperature environment can be determined through industry benchmarking analysis and customer demand mining.

[0046] In an embodiment, determining the improvement target of the available discharge capacity of the battery assembly in a low-temperature environment according to the user demand comprises the following steps:

[0047] S1, obtaining the description text of the user demand.

[0048] Specifically, the user demand can be collected in advance, and the description text can be arranged based on the user demand. Voice information can also be converted into text data to obtain the description text through voice recognition and the like according to the dialogue with the user. The specific description text can be obtained in a manner selected according to actual application requirements, which is not limited here.

[0049] S2, extracting features from the description text to obtain demand features.

[0050] Specifically, the features of the description text can be extracted through a neural network to obtain the demand features, such as extracting semantic features through a recurrent neural network to obtain corresponding demand features.

[0051] S3, calculating the correlation coefficient of the demand features and the preset target features, and outputting the demand features with a correlation coefficient higher than a preset threshold to a target terminal for setting the improvement target.

[0052] In an embodiment, the feature of the lifting battery assembly can be preset, such as the lifting ratio, as a target feature. The correlation between the demand feature and the target feature is calculated by using the Pearson correlation coefficient method. If the correlation reaches a set threshold, the demand feature output value is tested on the target terminal corresponding to the tester, so that the tester sets the lifting target according to the displayed demand feature. According to the correlation, the data screening can greatly reduce unnecessary data interference.

[0053] In step S110, the key parameters affecting the discharge capacity of the low-temperature battery are called to generate the test factors, and the key parameters are multiple.

[0054] In an embodiment, through system analysis and QFD (Quality Function Deployment) analysis, the key design parameters affecting the discharge capacity of the low-temperature battery are obtained as follows: whether the motor waste heat is used for battery assembly heating, PTC (Positive Temperature Coefficient) heating system opening SOC (State Of Charge) control threshold, and PTC heating system closing temperature control threshold.

[0055] In step S120, the test factors are tested according to the preset simulation test tool to obtain the test results.

[0056] In an embodiment, according to the key design parameters obtained above, the 3-factor 2-level test design is extracted by the DOE (Design Of Experiment) full-factor test method. Corresponding factor A is whether the motor waste heat is used for battery assembly heating, the low level is on, and the high level is off; factor B is the PTC heating system opening SOC control threshold, the low level is m, and the high level is n; factor C is the PTC heating system closing temperature control threshold, the low level is p, and the high level is q. The values of m, n, p, and q can be set according to the actual situation of the vehicle battery, which is not limited here.

[0057] In an embodiment, the test factors are tested according to the preset simulation test tool, including:

[0058] The test combination is performed based on the multiple level parameters preset for each test factor to obtain multiple combination items;

[0059] The battery discharge capacity result of each combination item is obtained by testing each combination item by the simulation test tool as the test result.

[0060] Specifically, please refer to Figure 2 , Figure 2The experimental combinations in the embodiment of the application represent the intention. The general full-factor experimental combinations are generated by Minitab software, and CAE simulation tests are performed according to each experiment in the experimental combinations, so as to obtain the simulation results of the available discharge capacity of the battery of each experiment.

[0061] In step S130, a mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery is established according to the test results.

[0062] In an embodiment, the mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery is established according to the test results, and the method comprises:

[0063] A mathematical model is constructed according to the results of the available discharge capacity of the battery of each data item, and the mapping relationship between the to-be-tested factors and the available discharge capacity of the low-temperature battery is established by using the mathematical model, wherein the method of constructing the mathematical model comprises a Plato diagram, a normal distribution diagram, a residual diagram or a main effect-interaction effect diagram.

[0064] Based on the information obtained by the calculation of the experimental design of each sample, a mathematical model is constructed to approximate the real mapping relationship between the design variables and the response variables. The design variables are whether the motor waste heat is used for battery assembly heating, the PTC heating system opening SOC control threshold value and the PTC heating system closing temperature control threshold value, and the response variable is the available discharge capacity of the low-temperature battery.

[0065] Based on the data obtained by the experimental design of each sample in the foregoing steps, a mathematical model is constructed to approximate the real mapping relationship between the design variables and the response variables by analyzing the Plato diagram, the normal distribution diagram, the residual diagram and the main effect-interaction effect diagram in the factor design. The design variables are whether the motor waste heat is used for battery assembly heating, the PTC heating system opening SOC control threshold value and the PTC heating system closing temperature control threshold value, and the response variable is the available discharge capacity of the low-temperature battery.

[0066] In step S140, the optimal values of the key parameters are determined according to the mapping relationship, and if the optimal values meet the promotion target, the optimal values of the key parameters are output to control the available discharge capacity of the battery.

[0067] In an embodiment, the optimal values of the key parameters are determined according to the mapping relationship, and the method comprises:

[0068] The values of the to-be-tested factors in the mapping relationship are optimized to obtain the optimal combination mode of the to-be-tested factors and the optimal values of the key parameters corresponding to the optimal combination mode, with the maximum available discharge capacity of the battery assembly as the target.

[0069] In an embodiment, the key parameters are analyzed, the optimal factor combination is determined by the response optimizer, since the purpose of the project is to improve the total discharge capacity of the power battery assembly in a low temperature environment, and the target is to maximize the characteristics, so the optimal factor combination is obtained by the output result of the response optimizer: whether the motor waste heat is used for battery assembly heating x1, the PTC heating system opening SOC control threshold is x2, and the PTC heating system closing temperature control threshold is x3.

[0070] In an embodiment, before outputting the optimal value of the key parameters for battery discharge capacity control, the method further comprises:

[0071] The optimal value of the key parameters is input into a preset simulation control model, and the optimal value of the key parameters is output as the output after it is determined by the preset simulation control model that the improvement target is met under the optimal value of the key parameters.

[0072] Specifically, the obtained optimal factor combination, i.e., the key parameter combination, is x1, x2, and x3, and the verification experiment is performed according to the above steps, and the analysis result is verified. At the same time, the experimental parameters are input into the control model, which is a simulation model containing a thermal management control strategy, to verify the available discharge capacity of the battery assembly in a low temperature environment, and to confirm whether the target of the available discharge capacity of the battery assembly in a low temperature environment is reached.

[0073] Based on the above technical solutions, the present application is applicable to a project that needs to improve the discharge capacity of a low temperature battery assembly, and aims to obtain optimal parameter values for improving the available discharge capacity of the power battery through DOE experimental design and response optimization, so as to achieve the project indicators. Through the design methodology of six sigma, a method for improving the available discharge capacity of the power battery in a low temperature environment is obtained. In the process of driving the whole vehicle, not only the motor waste heat needs to be introduced, but also the PTC needs to be turned on. Based on the DOE experimental design method, the results of each experiment in the full factor experiment are obtained through CAE simulation testing, which saves the experimental time. The control parameters for improving the available discharge capacity of the power battery assembly in a low temperature environment are obtained by using the response optimizer. The method for improving the available discharge capacity of the power battery in a low temperature environment can be directly applied to other similar projects, and optimal parameter values for improving the available discharge capacity of the power battery are obtained through DOE experimental design and response optimization, so as to achieve the project indicators.

[0074] Please refer to Figure 3 The embodiment provides a battery assembly discharge capacity control system for executing the battery assembly discharge capacity control method in the foregoing method embodiment. Since the technical principles of the system embodiment are similar to those of the foregoing method embodiment, the same technical details will not be repeated.

[0075] In an embodiment, the battery assembly available discharge capacity control system can comprise: a target acquisition module 10 configured to acquire user demand, and determine a promotion target of the battery assembly available discharge capacity in a low-temperature environment according to the user demand; a parameter calling module 11 configured to call key parameters affecting the low-temperature battery discharge capacity to generate test factors, the key parameters being multiple; a simulation test module 12 configured to test the test factors according to a preset simulation test tool, and obtain a test result; a mapping module 13 configured to establish a mapping relationship between the test factors and the low-temperature battery available discharge capacity according to the test result; and a parameter output module 14 configured to determine an optimal value of each key parameter according to the mapping relationship, and output the optimal value of the key parameter to control the battery assembly available discharge capacity if the optimal value meets the promotion target.

[0076] The embodiments of the present application also provide a battery assembly available discharge capacity control device, which can comprise: one or more processors; and one or more machine readable media having instructions stored thereon, which, when executed by the one or more processors, cause the device to perform the method of the embodiments of the present application. Figure 1 In actual application, the device can be a terminal device or a server. Examples of the terminal device can include: a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop computer, an in-vehicle computer, a desktop computer, a set-top box, a smart television, a wearable device, and the like. The embodiments of the present application are not limited to a specific device.

[0077] The embodiments of the present application also provide a machine readable medium having one or more programs stored thereon, which, when applied to a device, can cause the device to perform the instructions of the steps of the battery assembly available discharge capacity control method of the embodiments of the present application. The machine readable medium can be any available medium that can be stored by a computer or a data storage device such as a server, a data center, and the like, which comprises one or more available media sets. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)), and the like. Figure 1

[0078] Reference is made to Figure 4 ​The embodiment provides a device 80, which can be a desktop computer, a portable computer, a smart phone or the like. In detail, the device 80 at least comprises a memory 82 and a processor 83 connected through a bus 81, wherein the memory 82 is configured to store a computer program, and the processor 83 is configured to execute the computer program stored in the memory 82 to execute all or part of the steps in the foregoing method embodiments.

[0079] The system bus mentioned above can be a Peripheral Pomponent Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus or the like. The system bus can be divided into an address bus, a data bus and a control bus. For the convenience of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus. The communication interface is configured to realize communication between the database access device and other devices (for example, a client, a read-write library and a read-only library). The memory can include a Random Access Memory (RAM) and can also include a non-volatile memory, for example, at least one disk memory.

[0080] The processor mentioned above can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP) or the like; can also be a Digital Signal Processing (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.

[0081] The above-mentioned embodiments only exemplarily illustrate the principles and effects of the present application, and are not used to limit the present application. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical thought of the present application should be covered by the claims of the present application.

Claims

1. A method for controlling the usable discharge capacity of a battery assembly, characterized in that, include: Obtain user requirements and determine the target for improving the usable discharge capacity of the battery pack under low-temperature conditions based on the user requirements; The test factors are generated by calling key parameters that affect the discharge capacity of low-temperature batteries. There are multiple key parameters, including: whether the waste heat of the motor is used to heat the battery assembly, the threshold for the heating system to turn on the battery state of charge control, and the threshold for the heating system to turn off the temperature control. The test factor is tested using a preset simulation testing tool to obtain the test results; Based on the test results, establish a mapping relationship between the test factor and the usable discharge capacity of the low-temperature battery; The optimal values ​​of each key parameter are determined according to the mapping relationship. If the optimal values ​​satisfy the improvement target, the optimal values ​​of the key parameters are output to control the available discharge capacity of the battery.

2. The method for controlling the usable discharge capacity of a battery assembly according to claim 1, characterized in that, Based on the aforementioned user requirements, the target for improving the usable discharge capacity of the battery pack in low-temperature environments is determined, including: Obtain the descriptive text of the user's needs; Feature extraction is performed on the description text to obtain the requirement features; Calculate the correlation coefficient between the demand feature and the preset target feature, and output the demand features with the correlation coefficient higher than the preset threshold to the target terminal for setting the improvement target.

3. The method for controlling the usable discharge capacity of a battery assembly according to claim 1, characterized in that, The test factor is tested using a preset simulation testing tool, including: Multiple combination items are obtained by combining multiple preset level parameters for each of the factors to be tested; The simulation testing tool is used to test each of the combinations, and the battery's available discharge capacity for each combination is obtained as the test result.

4. The method for controlling the usable discharge capacity of a battery assembly according to claim 3, characterized in that, Based on the test results, establish a mapping relationship between the test factor and the usable discharge capacity of the low-temperature battery, including: A mathematical model is constructed based on the battery discharge capacity results of each combination item. The mapping relationship between the test factor and the low-temperature battery discharge capacity is established through the mathematical model. The mathematical model can be constructed in the following ways: Pareto chart, normal distribution plot, residual plot or main effect-interaction effect plot.

5. The method for controlling the usable discharge capacity of a battery assembly according to claim 1, characterized in that, Determining the optimal values ​​of each key parameter based on the mapping relationship includes: With the goal of maximizing the usable discharge capacity of the battery assembly, the values ​​of the test factors in the mapping relationship are optimized to obtain the optimal combination of the corresponding test factors and the optimal values ​​of the key parameters corresponding to the optimal combination.

6. The method for controlling the usable discharge capacity of a battery assembly according to claim 1, characterized in that, Before outputting the optimal values ​​of the key parameters for controlling the available battery discharge, the process also includes: The optimal value of the key parameter is input into a preset simulation control model. After the preset simulation control model determines that the improvement target is met under the condition of the optimal value of the key parameter, the optimal value of the key parameter is output.

7. A battery assembly usable discharge capacity control system, characterized in that, include: The target acquisition module is used to acquire user needs and determine the target for increasing the usable discharge capacity of the battery pack under low temperature conditions based on the user needs. The parameter calling module is used to call key parameters that affect the discharge capacity of low-temperature batteries to generate test factors. There are multiple key parameters, including: whether the waste heat of the motor is used for heating the battery assembly, the threshold for the heating system to turn on the battery state of charge control, and the threshold for the heating system to turn off the temperature control. The simulation testing module is used to test the factor to be tested according to a preset simulation testing tool and obtain the test results; The mapping module is used to establish a mapping relationship between the test factor and the available discharge capacity of the low-temperature battery based on the test results; The parameter output module is used to determine the optimal value of each key parameter according to the mapping relationship. If the optimal value satisfies the improvement target, the optimal value of the key parameter is output to control the available discharge capacity of the battery.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the steps of the battery assembly available discharge control method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the battery assembly available discharge control method according to any one of claims 1 to 6.

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