Data processing method and device of battery liquid cooling plate and storage medium

Abstract

This invention discloses a data processing method, apparatus, and storage medium for a battery liquid cooling plate. The method includes: obtaining a reference convective heat transfer coefficient to be adjusted to by the battery liquid cooling plate under current operating conditions; inputting the reference convective heat transfer coefficient into a regression model for parameter matching to determine reference liquid parameters in the battery liquid cooling plate that match the reference convective heat transfer coefficient, wherein the regression model at least represents the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, which include a reference flow rate and a reference temperature of the liquid; and adjusting the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient based on the reference liquid parameters. This invention solves the technical problem of low operating efficiency of battery liquid cooling plates.

Description

Technical Field

[0001] This invention relates to the field of batteries, and more specifically, to a data processing method, apparatus, and storage medium for a battery liquid cooling plate. Background Technology

[0002] Vehicle batteries primarily exchange heat with the outside world through the coolant in the battery cooling plate. The entire heat transfer path from the vehicle battery to the coolant is based on simple heat conduction, except for the heat exchange between the coolant and the inner wall of the cooling plate, which is heat convection.

[0003] In related technologies, thermal simulation technology can only simulate simple heat conduction processes. However, for complex convective heat transfer processes, there are too many variables involved in the convective heat transfer coefficient, and there are currently no universal testing methods and devices, which leads to the technical problem of low working efficiency of battery liquid cooling plates.

[0004] There is currently no effective solution to the technical problem of low working efficiency of the aforementioned battery liquid cooling plate. Summary of the Invention

[0005] This invention provides a data processing method, apparatus, and storage medium for battery liquid cooling plates, to at least solve the technical problem of low working efficiency of battery liquid cooling plates.

[0006] According to one aspect of the present invention, a data processing method for a battery liquid cooling plate is provided. The method may include: obtaining a reference convective heat transfer coefficient to be adjusted to by the battery liquid cooling plate under current operating conditions; inputting the reference convective heat transfer coefficient into a regression model for parameter matching to determine reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient, wherein the regression model is at least used to represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, the reference liquid parameters including a reference flow rate and a reference temperature of the liquid; and adjusting the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient based on the reference liquid parameters.

[0007] Optionally, the method further includes: adjusting the liquid parameters of the liquid based on the liquid-cooled plate testing system to determine multiple sets of liquid parameters, wherein the liquid-cooled plate testing system includes at least a flow meter subsystem and a temperature sensor subsystem, the flow meter subsystem is used to test the liquid flow rate of the liquid, and the temperature sensor subsystem is used to test the liquid temperature of the liquid; and generating a regression model based on the multiple sets of liquid parameters.

[0008] Optionally, a regression model is generated based on multiple sets of liquid parameters, including: determining the convective heat transfer coefficient corresponding to each set of liquid parameters based on the liquid-cooled plate convective heat transfer coefficient calculation model, wherein the liquid-cooled plate convective heat transfer coefficient calculation model is obtained by calculating the property parameters of the liquid-cooled plate, and the property parameters include at least the contact area between the liquid-cooled plate and the liquid and the thermal conductivity of the liquid-cooled plate; and generating a regression model based on multiple sets of mapping relationships between liquid parameters and convective heat transfer coefficients.

[0009] Optionally, the heat generation power of the battery liquid cooling plate under the current operating conditions is obtained; based on the heat generation power and the reference convective heat transfer coefficient, the reference liquid parameters are determined.

[0010] Optionally, based on the heat generation power and the reference convective heat transfer coefficient, the reference liquid parameters are determined. The method further includes: inputting the heat generation power and the reference convective heat transfer coefficient into the heat generation power calculation model for calculation to obtain the reference temperature; and determining the reference flow rate of the battery liquid cooling plate at the reference temperature based on the mapping relationship.

[0011] Optionally, the liquid-cooled plate testing system also includes: a constant temperature water tank for regulating the liquid temperature; a water pump for regulating the liquid flow rate; and a constant temperature and humidity environment chamber for regulating the ambient temperature and humidity of the liquid-cooled plate testing system.

[0012] According to one aspect of the present invention, a data processing apparatus for a battery liquid cooling plate is provided. The apparatus includes: an acquisition unit for acquiring a reference convective heat transfer coefficient to be adjusted to by the battery liquid cooling plate under current operating conditions; a determination unit for inputting the reference convective heat transfer coefficient into a regression model for parameter matching to determine reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient, wherein the regression model at least represents the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, and the reference liquid parameters characterize the reference flow rate and reference temperature of the liquid; and an adjustment unit for adjusting the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient based on the reference liquid parameters.

[0013] According to another aspect of the present invention, a computer-readable storage medium is also provided. The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform the data processing method for the battery liquid cooling plate according to the embodiments of the present invention.

[0014] According to another aspect of the present invention, a processor is also provided. The processor is used to run a program, wherein the program, when run by the processor, executes the data processing method for the battery liquid cooling plate according to the embodiments of the present invention.

[0015] According to another aspect of the present invention, a vehicle is also provided, which is used to execute the data processing method for the battery liquid cooling plate of the present invention.

[0016] In this embodiment of the invention, a reference convective heat transfer coefficient to be adjusted to by the battery liquid cooling plate under the current operating conditions is obtained; the reference convective heat transfer coefficient is input into a regression model for parameter matching to determine reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient, wherein the regression model is used to at least represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, the reference liquid parameters including the reference flow rate and reference temperature of the liquid; based on the reference liquid parameters, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient. In other words, the embodiments of the present invention first obtain the reference convective heat transfer coefficient to be adjusted to under the current operating conditions of the battery liquid cooling plate, and then input the obtained reference convective heat transfer coefficient into the regression model for parameter matching to determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. Finally, based on the reference liquid parameters including the reference flow rate and reference temperature, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient. This achieves the purpose of conveniently determining the target parameters of coolant flow rate and coolant temperature that meet specific battery operating conditions, thereby solving the technical problem of low working efficiency of the battery liquid cooling plate and realizing the technical effect of improving the working efficiency of the battery liquid cooling plate. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0018] Figure 1 This is a flowchart of a data processing method for a battery liquid cooling plate according to an embodiment of the present invention;

[0019] Figure 2 This is a schematic diagram of a liquid-cooled plate convective heat transfer coefficient testing system according to an embodiment of the present invention;

[0020] Figure 3 This is a schematic diagram of a temperature sensor arrangement according to an embodiment of the present invention;

[0021] Figure 4 This is a flowchart of a method for generating a regression model according to an embodiment of the present invention;

[0022] Figure 5 This is a flowchart of a method for obtaining reference liquid parameters according to an embodiment of the present invention;

[0023] Figure 6This is a schematic diagram of a data processing device for a battery liquid cooling plate according to an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] Example 1

[0027] According to an embodiment of the present invention, a data processing method for a battery liquid cooling plate is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0028] Figure 1 This is a flowchart of a data processing method for a battery liquid cooling plate according to an embodiment of the present invention, such as... Figure 1 As shown, the method may include the following steps:

[0029] Step S101: Obtain the reference convective heat transfer coefficient of the battery liquid cooling plate to be adjusted under the current operating conditions.

[0030] In the technical solution provided by step S101 of the present invention, by setting relevant conditions, the current operating condition is determined, thereby obtaining the reference convective heat transfer coefficient to be adjusted to the current operating condition of the battery liquid cooling plate. The current operating condition can be the working environment of the battery liquid cooling plate, which may include temperature, power, etc. The reference convective heat transfer coefficient can be used to represent the convective heat transfer coefficient that meets the battery thermal management requirements under the current operating condition. This is only an example and is not specifically limited.

[0031] Optionally, the battery liquid cooling plate will reflect different working environments under different operating conditions. The variables in the working environment can be fluid type, temperature, flow channel structure, materials, etc. If any of the variables in the working environment changes, it will lead to different reference convective heat transfer coefficients. For example, if the temperature rises while other variables in the working environment remain unchanged, the reference convective heat transfer coefficient will change accordingly; if the material changes while other variables in the working environment remain unchanged, the reference convective heat transfer coefficient will change accordingly. This is only an example and is not a specific limitation.

[0032] Step S102: Input the reference convective heat transfer coefficient into the regression model for parameter matching, and determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. The regression model is used to represent at least the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, which include the reference flow rate and reference temperature of the liquid.

[0033] In the technical solution provided in step S102 of the present invention, the regression model can be a mathematical model used to represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters. The reference liquid parameters involved in the regression model include the reference flow rate and the reference temperature. After the regression model receives the reference convective heat transfer coefficient, parameter matching can be performed based on the reference convective heat transfer coefficient. When multiple sets of reference liquid parameters that meet the battery thermal management requirements and match the reference convective heat transfer coefficient are matched in the regression model, the reference liquid parameters that the vehicle thermal management system can achieve can be obtained by combining the water pump capacity and temperature resistance of the vehicle thermal management system, thereby determining the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient.

[0034] Optionally, when the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient are determined, the specific conditions to be met to satisfy the battery thermal management requirements can be obtained. The specific conditions are jointly defined by the reference flow rate and reference temperature of the liquid included in the determined reference liquid parameters. The reference flow rate can be used to represent the flow rate value to be met to satisfy the battery thermal management requirements, and the reference temperature can be used to represent the temperature value to be met to satisfy the battery thermal management requirements.

[0035] Step S103: Based on the reference liquid parameters, adjust the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient.

[0036] In the technical solution provided by step S103 of the present invention, after obtaining the reference liquid parameters output by the regression model, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient by adjusting the currently monitored flow rate and temperature to the reference flow rate and reference temperature output by the regression model. This achieves the purpose of conveniently determining the target parameters of coolant flow rate and coolant temperature that meet specific battery operating conditions.

[0037] Optionally, the monitored flow rate and temperature are adjusted based on the reference liquid parameters output by the regression model through a set adjustment mechanism. When the flow rate and temperature are adjusted to the reference values, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient through a set feedback mechanism. The adjustment mechanism is used to adjust the flow rate and temperature in a timely manner to meet the battery thermal management requirements, and the feedback mechanism is used to adjust the original convective heat transfer coefficient to the reference values ​​in response to the original flow rate and temperature being adjusted to the reference values.

[0038] Optionally, by setting a timed concurrent mechanism, the currently monitored flow rate and temperature can be adjusted in parallel to simultaneously adjust to the reference flow rate and reference temperature. This allows for a faster adjustment to the reference convective heat transfer coefficient by shortening the adjustment time through parallel processing. No specific limitations are made here.

[0039] In steps S101 to S103 of this application, a reference convective heat transfer coefficient to be adjusted to under the current operating conditions of the battery liquid cooling plate is obtained; the reference convective heat transfer coefficient is input into a regression model for parameter matching to determine reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. The regression model is used to at least represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, which include the reference flow rate and reference temperature of the liquid; based on the reference liquid parameters, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient. In other words, the embodiments of the present invention first obtain the reference convective heat transfer coefficient to be adjusted to under the current operating conditions of the battery liquid cooling plate, and then input the obtained reference convective heat transfer coefficient into the regression model for parameter matching to determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. Finally, based on the reference liquid parameters including the reference flow rate and reference temperature, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient. This achieves the purpose of conveniently determining the target parameters of coolant flow rate and coolant temperature that meet specific battery operating conditions, thereby solving the technical problem of low working efficiency of the battery liquid cooling plate and realizing the technical effect of improving the working efficiency of the battery liquid cooling plate.

[0040] The method described in this embodiment will be further described below.

[0041] As an optional embodiment, the data processing method for the battery liquid cooling plate further includes: adjusting the liquid parameters of the liquid based on the liquid cooling plate testing system to determine multiple sets of liquid parameters, wherein the liquid cooling plate testing system includes at least a flow meter subsystem and a temperature sensor subsystem, the flow meter subsystem is used to test the liquid flow rate of the liquid, and the temperature sensor subsystem is used to test the liquid temperature of the liquid; and generating a regression model based on the multiple sets of liquid parameters.

[0042] In this embodiment, the liquid parameters can be adaptively adjusted according to the water pump capacity and temperature resistance of the vehicle thermal management system to determine multiple sets of liquid parameters that the vehicle thermal management system can meet. Based on the obtained multiple sets of liquid parameters, a regression model is generated. The adaptive adjustment of the liquid parameters includes: adjusting the liquid flow rate multiple times, and determining whether the adjusted liquid flow rate is suitable for the water pump capacity of the vehicle thermal management system through the flow meter subsystem. If the adjusted liquid flow rate is suitable for the water pump capacity of the vehicle thermal management system, the adjusted liquid flow rate is recorded. The liquid temperature is adjusted multiple times, and determining whether the adjusted liquid temperature is suitable for the temperature resistance of the vehicle thermal management system through the temperature sensor subsystem. If the adjusted liquid temperature is suitable for the temperature resistance of the vehicle thermal management system, the adjusted liquid temperature is recorded. The adjusted liquid flow rate and the adjusted liquid temperature are combined to obtain multiple sets of liquid parameters.

[0043] As an optional implementation method, a regression model is generated based on multiple sets of liquid parameters, including: determining the convective heat transfer coefficient corresponding to each set of liquid parameters based on a liquid-cooled plate convective heat transfer coefficient calculation model, wherein the liquid-cooled plate convective heat transfer coefficient calculation model is obtained by calculating the property parameters of the liquid-cooled plate, and the property parameters include at least the contact area between the liquid-cooled plate and the liquid and the thermal conductivity of the liquid-cooled plate; and generating a regression model based on multiple sets of mapping relationships between liquid parameters and convective heat transfer coefficients.

[0044] In this embodiment, the convective heat transfer coefficient of the liquid cooling plate is calculated by inputting the property parameters of the liquid cooling plate and each set of liquid parameters from multiple sets of liquid parameters into the liquid cooling plate convective heat transfer coefficient calculation model. The property parameters may include: the geometric center temperature of the contact surface between the heating device and the temperature equalization device, the geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate, the inlet water temperature of the liquid cooling plate test section, the outlet water temperature of the liquid cooling plate test section, the flow rate of the coolant in the liquid cooling plate, the upper surface area of ​​the temperature equalization device, the thickness of the temperature equalization device, the thermal conductivity of the temperature equalization device, the contact area between the liquid cooling plate and the coolant, the plate thickness of the contact surface between the liquid cooling plate and the temperature equalization device, and the thermal conductivity of the liquid cooling plate. Then, based on the multiple mapping relationships between the obtained convective heat transfer coefficient and the liquid parameters under the corresponding operating conditions, mathematical induction is performed to obtain a regression model.

[0045] Optionally, the calculation model for the convective heat transfer coefficient of the liquid-cooled plate is shown in the following equation:

[0046]

[0047] Where T1 is the geometric center temperature of the contact surface between the heating device and the temperature equalization device, T2 is the geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate, and T in The inlet water temperature of the liquid-cooled plate test section, T out V1 is the outlet water temperature of the liquid-cooled plate test section, A1 is the flow rate of the coolant in the liquid-cooled plate, d1 is the upper surface area of ​​the temperature equalization device, δ1 is the thermal conductivity of the temperature equalization device, A2 is the contact area between the liquid-cooled plate and the coolant, d2 is the plate thickness of the contact surface between the liquid-cooled plate and the temperature equalization device, δ2 is the thermal conductivity of the liquid-cooled plate, and h is the convective heat transfer coefficient between the liquid-cooled plate and the coolant.

[0048] Alternatively, the regression model is as follows:

[0049] h = f(q, t)

[0050] Where q is the coolant flow rate and t is the coolant temperature.

[0051] Optionally, after the temperatures at all test temperature points have stabilized, the various attribute parameters are obtained in the following ways: The temperature at each measurement point is obtained through the temperature sensor subsystem, namely, the geometric center temperature of the contact surface between the heating device and the temperature equalization device, the geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate, the inlet water temperature of the liquid cooling plate test section, and the outlet water temperature of the liquid cooling plate test section; the coolant flow rate in the liquid cooling plate is obtained through the flow meter subsystem; and the remaining determined attribute parameters are obtained by accessing the vehicle thermal management system, namely, the upper surface area of ​​the temperature equalization device, the thickness of the temperature equalization device, the thermal conductivity of the temperature equalization device, the contact area between the liquid cooling plate and the coolant, the plate thickness of the contact surface between the liquid cooling plate and the temperature equalization device, and the thermal conductivity of the liquid cooling plate. The obtained attribute parameters are then input into the liquid cooling plate convective heat transfer coefficient calculation model for calculation.

[0052] As an optional embodiment, the data processing method for the battery liquid cooling plate further includes: obtaining the heat generation power of the battery liquid cooling plate under the current operating conditions; and determining reference liquid parameters based on the heat generation power and the reference convective heat transfer coefficient.

[0053] In this embodiment, the current operating conditions are determined by setting the heating device, thereby obtaining the heat generation power of the battery liquid cooling plate under the current operating conditions. The heat generation power will be different depending on the setting of the heating device and the current operating conditions. Then, the reference liquid parameters are determined based on the obtained heat generation power and the reference convective heat transfer coefficient obtained from the regression model.

[0054] As an optional embodiment, the method further includes determining reference liquid parameters based on the heat generation power and the reference convective heat transfer coefficient, and inputting the heat generation power and the reference convective heat transfer coefficient into the heat generation power calculation model to calculate the reference temperature; and determining the reference flow rate of the battery liquid cooling plate at the reference temperature based on the mapping relationship.

[0055] In this embodiment, after determining the convective heat transfer coefficient corresponding to each set of liquid parameters based on the liquid cooling plate convective heat transfer coefficient calculation model, the known heat exchange area between the liquid cooling plate and the battery cell and the target temperature of the battery cell are obtained by accessing the vehicle thermal management system. The obtained heat generation power, reference convective heat transfer coefficient, heat exchange area between the liquid cooling plate and the battery cell and the target temperature of the battery cell are input into the heat generation power calculation model for calculation, thereby solving for the unknown reference temperature. After obtaining the reference temperature, the unknown reference flow rate is solved based on the mapping relationship between the reference convective heat transfer coefficient, reference temperature and reference flow rate, so as to determine the reference flow rate of the battery liquid cooling plate at the reference temperature. This achieves the purpose of conveniently determining the coolant flow rate and coolant temperature target parameters that meet specific battery operating conditions.

[0056] Optionally, the heat generation power calculation model is as follows:

[0057] Q bat =AΔTh=A|T target -t|·f(q,t)

[0058] Among them, Q bat Let A be the heat generation power of a certain battery cell under a certain operating condition, and T be the heat exchange area between the liquid cooling plate and the battery cell. target t represents the target temperature of the battery cell, and t represents the temperature of the coolant.

[0059] As an optional embodiment, the liquid-cooled plate testing system further includes: a constant temperature water tank for regulating the liquid temperature; a water pump for regulating the liquid flow rate; and a constant temperature and humidity environment chamber for regulating the ambient temperature and humidity of the liquid-cooled plate testing system.

[0060] In this embodiment, the liquid-cooled plate testing system may further include: a heating device for outputting constant heat generation power; a liquid-cooled plate for testing the convective heat transfer coefficient; a temperature equalization device for uniformly transferring the heat generated by the heating device; and a data acquisition and processing module and acquisition lines for acquiring and recording all sensor values ​​within the system.

[0061] This embodiment determines multiple sets of liquid parameters by adjusting the liquid parameters. Then, based on the liquid cooling plate convective heat transfer coefficient calculation model, it determines the convective heat transfer coefficient corresponding to each set of liquid parameters. Next, it obtains the heat generation power of the battery liquid cooling plate under the current operating conditions and inputs the obtained convective heat transfer coefficient and heat generation power into the heat generation power calculation model for calculation to determine the reference liquid parameters. Finally, it generates a regression model, thereby solving the technical problem of low working efficiency of battery liquid cooling plates and achieving the technical effect of improving the working efficiency of battery liquid cooling plates.

[0062] Example 2

[0063] The technical solutions of the embodiments of the present invention will be illustrated below with reference to preferred embodiments.

[0064] When a battery thermal management system employs an active thermal management approach, liquid cooling is typically chosen for heat exchange with the external environment. However, the heat exchange capacity of different liquid cooling solutions is difficult to evaluate. Therefore, a method for detecting the contact thermal resistance of a battery thermal management system is needed to assess the heat exchange capacity of different liquid cooling solutions. One related technology discloses a method for detecting the contact thermal resistance of a battery thermal management system, including initializing battery thermal management system parameters; charging and discharging the battery according to a charging strategy; adjusting the ambient temperature to the battery's maximum temperature according to a preset temperature adjustment cycle, and acquiring the operating parameters of the battery thermal management system in real time until the battery's maximum and / or minimum temperatures remain constant within a time threshold; and calculating the contact thermal resistance based on the operating parameters. However, this method uses the battery cell as a heat source and cannot generate heat at a constant power, making it difficult to achieve thermal equilibrium and affecting the accuracy of the test.

[0065] In another related technology, a method and system for testing the thermal resistance of a lithium-ion battery module are disclosed. This method and system enable the testing and calibration of the thermal resistance R between the core and casing of a new lithium-ion battery within the lithium-ion battery module. cell-shell The thermal resistance R between the core and the casing of a lithium-ion battery after thermal runaway. cell-shell The thin-film thermal resistance (also known as contact thermal resistance) between the lithium-ion battery and the newer lithium-ion battery after thermal runaway, i.e., R. layer However, this method ultimately yields the thermal resistance inside the battery module, but does not obtain the convective thermal resistance and convective heat transfer coefficient of the battery liquid cooling plate.

[0066] In another related technology, a rapid testing method for the interfacial thermal resistance of a power battery cell is disclosed. This method may include: placing the aforementioned testing device in a constant temperature environment and suspending it in mid-air; a heating unit emitting heat to begin heating the power battery cell; using a thermometer to test the temperatures at points A and B, where point A is the left center point of the heat-conducting unit and point B is the right center point of the power battery cell located on the right side; after the temperatures at points A and B stabilize, calculating the power consumption of the heating unit and the temperature difference between points A and B, and calculating the interfacial thermal resistance based on the power consumption of the heating unit and the temperature difference between points A and B. However, this method ultimately yields the thermal resistance of the heat transfer interface on the surface of the battery cell, without obtaining the convective thermal resistance and convective heat transfer coefficient of the battery liquid cooling plate.

[0067] However, this invention proposes a data processing method for battery liquid cooling plates. This method can be used to guide the setting of actual engineering parameters. When the reference convective heat transfer coefficient to be adjusted under the current operating conditions is obtained, a regression model is used to determine the reference liquid parameters, and adjustments are made based on these reference liquid parameters, thereby solving the technical problem of low working efficiency of battery liquid cooling plates.

[0068] Figure 2 This is a schematic diagram of a liquid-cooled plate convective heat transfer coefficient testing system according to an embodiment of the present invention, as shown below. Figure 2 As shown, the liquid-cooled plate convective heat transfer coefficient testing system includes: a heating device 010, a temperature equalization device 020, a liquid-cooled plate 030, a constant temperature water tank 040, a water pump 050, a water pipe 060, a data acquisition and processing module and acquisition line 090, a power supply and power supply line 100, and a constant temperature and humidity environment chamber 110.

[0069] Heating device 010 is used to output a constant heat generation power. The lower surface of heating device 010 is in contact with the upper surface of temperature equalization device 020. The other surfaces of heating device 010 are covered with a low thermal conductivity insulation material, such as aerogel felt. Temperature equalization device 020 is used to uniformly transfer the heat generated by heating device 010. Temperature equalization device 020 can be cylindrical or cuboid. Its characteristic is that the area and shape of its upper and lower surfaces are the same as the upper surface of liquid cooling plate 030, and the upper surface area is much larger than the side surface area. The lower surface of temperature equalization device 020 is in contact with the upper surface of liquid cooling plate 030. The other surfaces of temperature equalization device 020 are covered with a low thermal conductivity insulation material. Liquid cooling plate 030 is used as the test object for the measured convective heat transfer coefficient. The other surfaces of liquid cooling plate 030 are covered with a low thermal conductivity insulation material. Constant temperature water tank 04. 040 is used to regulate the liquid temperature. The constant temperature water tank 040 is connected to the water pump 050 and the liquid cooling plate 030 through the water pipe 060. The water pipe 060 is used to connect the entire water cooling circuit. The data acquisition and processing module and acquisition line 090 are used to collect and record the values ​​of all sensors in the system. The data acquisition and processing module and acquisition line 090 are connected to the lower surface of the heating device 010 and the upper surface of the temperature equalization device 020. The data acquisition and processing module and acquisition line 090 are also connected to the lower surface of the temperature equalization device 020 and the upper surface of the liquid cooling plate 030. The power supply and power supply line 100 are used to supply power to the heating device 010. The power supply and power supply line 100 are connected to the heating device 010. The constant temperature and humidity environment chamber 110 is used to regulate the ambient temperature and humidity of the liquid cooling plate test system. All the above devices are arranged in the constant temperature and humidity environment chamber 110.

[0070] When the power supply 100 is turned on, the heating device 010 is started and begins to output a constant heat generation power. The heat generated by the heating device 010 is then evenly transferred through the temperature equalization device 020. At this time, the water pump 050 delivers the coolant to the liquid cooling plate 030 through the water pipe 060, thereby exchanging heat with the outside environment through the liquid cooling plate 030. Then, the temperature of the coolant after heat exchange is regulated by the constant temperature water tank 040. The regulated coolant is then delivered to the liquid cooling plate 030 by the water pump 050 through the water pipe 06 for heat exchange until the battery is cooled.

[0071] Figure 3 This is a schematic diagram of a temperature sensor arrangement according to an embodiment of the present invention, as shown below. Figure 3 As shown, the temperature sensor arrangement includes: heating device 010, temperature equalization device 020, liquid cooling plate 030, flow meter 070, and temperature sensor 080.

[0072] Heating device 010, temperature equalization device 020 and liquid cooling plate 030 as follows Figure 2 The arrangement is as shown. A suitable amount of thermally conductive gel is applied between the heating device 010 and the temperature equalization device 020, and between the temperature equalization device 020 and the liquid cooling plate 030. A flow meter 070 is used to test the liquid flow rate and is located at the liquid cooling plate 030. A temperature sensor 080 is used to test the liquid temperature. One temperature sensor is set at each of the inlet and outlet of the liquid cooling plate 030, at least one temperature sensor is set between the heating device 010 and the temperature equalization device 020, and at least one temperature sensor is set between the temperature equalization device 020 and the liquid cooling plate 030. Furthermore, the Z-axis projections of the temperature sensor between the heating device 010 and the temperature equalization device 020 and the temperature sensor between the temperature equalization device 020 and the liquid cooling plate 030 coincide.

[0073] When using the liquid-cooled plate convective heat transfer coefficient calculation model to calculate the convective heat transfer coefficient corresponding to each set of liquid parameters, the temperature of the inlet and outlet of the liquid-cooled plate 030 is obtained by the arranged temperature sensors. At the same time, the temperature of the temperature measurement point between the heating device 010 and the temperature equalization device 020 and the temperature measurement point between the temperature equalization device 020 and the liquid-cooled plate 030 are also obtained. The obtained temperatures are then processed and input into the liquid-cooled plate convective heat transfer coefficient calculation model to perform the convective heat transfer coefficient calculation process.

[0074] To implement the method of generating regression models Figure 4 This is a flowchart of a method for generating a regression model according to an embodiment of the present invention, such as... Figure 4 As shown, the generation method may include the following steps:

[0075] Step S401: Complete the construction of the liquid-cooled plate convective heat transfer coefficient testing system.

[0076] The construction of the liquid-cooled plate convective heat transfer coefficient testing system in this embodiment can be achieved by, as follows: Figure 2 The liquid-cooled plate convective heat transfer coefficient test system shown is used.

[0077] Step S402: After completing the construction of the liquid cooling plate convective heat transfer coefficient test system, start the heating device to perform constant power heating, and start the water pump to pass the coolant into the liquid cooling plate at a constant flow rate.

[0078] Step S403: After heating and introducing coolant, adjust the temperature of the constant temperature water tank and adjust the coolant temperature at the inlet of the flow channel.

[0079] Step S404: After adjusting the inlet coolant temperature, collect data from all temperature measuring points and record the data at regular intervals until the temperature of all measuring points stabilizes.

[0080] Step S405: After the temperature at all temperature measurement points stabilizes, obtain the following attribute parameters: geometric center temperature of the contact surface between the heating device and the temperature equalization device, geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate, inlet water temperature of the liquid cooling plate test section, outlet water temperature of the liquid cooling plate test section, and coolant flow rate in the liquid cooling plate.

[0081] Step S406: Calculate the current convective heat transfer coefficient based on the acquired attribute parameters.

[0082] Step S407: Repeat steps S402 to S406 multiple times until sufficient convective heat transfer coefficients are obtained for inductive summarization, thus obtaining the regression model.

[0083] After the above steps, the regression model is finally obtained. In the process of constructing the regression model, firstly, the liquid-cooled plate convective heat transfer coefficient testing system was built; secondly, the power was turned on to start the heating device for constant power heating, and the water pump was started to flow coolant into the liquid-cooled plate at a constant flow rate through the water pipe, thereby exchanging heat with the outside environment through the liquid-cooled plate; next, the temperature of the constant temperature water tank and the temperature of the coolant at the inlet of the flow channel were adjusted to regulate the temperature of the coolant flowing into the constant temperature water tank after heat exchange; thirdly, data from all temperature measurement points were collected and recorded at regular intervals to ensure that the data from the current temperature measurement points were valid and could be used in the liquid-cooled plate convective heat transfer coefficient calculation model; then, when the temperature of all temperature measurement points stabilized, all unknown attribute parameters were obtained and input into the liquid-cooled plate convective heat transfer coefficient calculation model to calculate the current convective heat transfer coefficient; the above steps, except for the step of building the liquid-cooled plate convective heat transfer coefficient testing system, were repeated to output the convective heat transfer coefficient corresponding to each set of liquid parameters in multiple sets of liquid parameters, and a regression model was generated based on the mapping relationship.

[0084] Optionally, the calculation model for the convective heat transfer coefficient of the liquid-cooled plate is shown in the following equation:

[0085]

[0086] Where T1 can be used to represent the geometric center temperature of the contact surface between the heating device and the temperature equalization device, and T2 can be used to represent the geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate. in The inlet water temperature of the liquid-cooled plate test section, T outLet q1 be the outlet water temperature of the liquid-cooled plate test section, V1 be the coolant flow rate in the liquid-cooled plate, A1 be the upper surface area of ​​the temperature equalization device, d1 be the thickness of the temperature equalization device, δ1 be the thermal conductivity of the temperature equalization device, A2 be the contact area between the liquid-cooled plate and the coolant, d2 be the plate thickness of the contact surface between the liquid-cooled plate and the temperature equalization device, δ2 be the thermal conductivity of the liquid-cooled plate, and h be the convective heat transfer coefficient between the liquid-cooled plate and the coolant. In other words, the desired convective heat transfer coefficient of the liquid-cooled plate under the conditions of coolant flow rate q1 and coolant temperature t1 is:

[0087] h=f(v, l, ρ, η, λ, C p )

[0088] Where v is the flow velocity of the heat transfer medium, l is the characteristic length, ρ is the fluid density, η is the dynamic viscosity of the fluid, λ is the thermal conductivity, and C p For a given isobaric specific heat capacity, the flow channel l remains constant, while the liquid temperature simultaneously affects the fluid's ρ, η, λ, and C. p Therefore, the above formula h=f(v,l,ρ,η,λ,C) can be used. p Simplified to:

[0089] h = f(v, t)

[0090] Where t represents different coolant temperatures.

[0091] By adjusting the power of the heating device and the water temperature at the inlet of the liquid cooling plate, different coolant temperatures t can be obtained; and by adjusting the water pump to discharge coolant at different flow rates q1, different coolant velocities V1 in the liquid cooling plate can be obtained; therefore, based on the above formula h=f(v,t), a regression model of the convective heat transfer coefficient based on coolant temperature and coolant flow rate can be obtained:

[0092] h = f(q, t)

[0093] Furthermore, this invention also proposes a method for obtaining key parameters of a liquid cooling system. This method, based on a regression model and a heat generation power calculation model, determines the coolant temperature and coolant flow rate that meet specific battery operating conditions, thus obtaining the key parameters of the liquid cooling system.

[0094] To implement a method for obtaining key parameters of a liquid cooling system Figure 5 This is a flowchart of a method for obtaining key parameters of a liquid cooling system according to an embodiment of the present invention, such as... Figure 5 As shown, the method may include the following steps:

[0095] Step S501: Obtain the regression model.

[0096] Step S502: After obtaining the regression model, obtain the following data: the heat generation power of the battery liquid cooling plate under the current operating conditions, the target temperature of the battery cell, the heat exchange area between the liquid cooling plate and the battery cell, and the maximum capacity of the water pump.

[0097] Step S503: Based on the data obtained above, set the coolant temperature, which is generally between 10°C and 30°C.

[0098] Step S504: Based on the set coolant temperature, obtain the corresponding flow rate through the mapping relationship.

[0099] Step S505: After obtaining the corresponding flow rate, determine whether the water pump capacity meets the flow rate requirement; if the water pump capacity meets the flow rate requirement, proceed to step S506 and record the parameter combination that meets the cell thermal management requirements under the current operating conditions; if the water pump capacity does not meet the flow rate requirement, proceed to step S503 and continue to set the coolant temperature.

[0100] After obtaining the regression model generated based on multiple sets of mapping relationships, the heat generation power of the battery liquid cooling plate under the current operating conditions, the target temperature of the battery cell, the heat exchange area between the liquid cooling plate and the battery cell, and the maximum capacity of the water pump are obtained. Then, based on the obtained data and through the heat generation power calculation model, the coolant temperature is set within the range of 10℃ to 30℃. After setting the coolant temperature, the coolant temperature value is input into the mapping relationship to obtain the corresponding flow rate. Subsequently, the maximum capacity of the water pump is used to determine whether the water pump capacity meets the flow rate requirement. If the water pump capacity meets the flow rate requirement, the current parameter combination is recorded, and the original parameter combination is adjusted to the recorded current parameter combination. If the water pump capacity does not meet the flow rate requirement, the coolant temperature is set again, the flow rate is obtained again, and the water pump capacity is judged again to determine whether the flow rate requirement is met.

[0101] Optionally, the heat generation power calculation model is as follows:

[0102] Q bat =AΔTh=A|T target -t|·f(q,t)

[0103] Among them, Q bat Let A be the heat generation power of a certain battery cell under a certain operating condition, and T be the heat exchange area between the liquid cooling plate and the battery cell. target t represents the target temperature of the battery cell, and t represents the temperature of the coolant.

[0104] In this embodiment, firstly, the convective heat transfer coefficient corresponding to each set of liquid parameters is obtained through a liquid cooling plate convective heat transfer coefficient calculation model. Secondly, based on the mapping relationship, a regression model is obtained through multiple training iterations. Then, based on the regression model and the heat generation power calculation model, the coolant temperature and coolant flow rate that meet the thermal management requirements are determined, thus completing the acquisition of key parameters of the liquid cooling system. Finally, the original liquid parameters are adjusted to the acquired liquid parameters, and the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient, thereby solving the technical problem of low working efficiency of the battery liquid cooling plate and achieving the technical effect of improving the working efficiency of the battery liquid cooling plate.

[0105] Example 3

[0106] According to an embodiment of the present invention, a data processing device for a battery liquid cooling plate is also provided. It should be noted that this data processing device for a battery liquid cooling plate can be used to execute a data processing method for a battery liquid cooling plate as described in Embodiment 1.

[0107] Figure 6 This is a schematic diagram of a data processing device for a battery liquid cooling plate according to an embodiment of the present invention. Figure 6 As shown, a data processing device 600 for a battery liquid cooling plate may include: an acquisition unit 601, a determination unit 602, and an adjustment unit 603.

[0108] The acquisition unit 601 is used to acquire the reference convective heat transfer coefficient of the battery liquid cooling plate to be adjusted under the current operating conditions.

[0109] The determination unit 602 is used to input the reference convective heat transfer coefficient into the regression model for parameter matching, and to determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. The regression model is used to at least represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, and the reference liquid parameters are used to characterize the reference flow rate and reference temperature of the liquid.

[0110] The adjustment unit 603 is used to adjust the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient based on the reference liquid parameters.

[0111] Optionally, the data processing device 600 for the battery liquid cooling plate may further include: a first determining unit, used to adjust the liquid parameters of the liquid based on the liquid cooling plate testing system and determine multiple sets of liquid parameters, wherein the liquid cooling plate testing system includes at least a flow meter subsystem and a temperature sensor subsystem, the flow meter subsystem being used to test the liquid flow rate of the liquid and the temperature sensor subsystem being used to test the liquid temperature of the liquid; and a generating unit, used to generate a regression model based on the multiple sets of liquid parameters.

[0112] Optionally, the generation unit may include: a determination module, used to determine the convective heat transfer coefficient corresponding to each set of liquid parameters in multiple sets of liquid parameters based on the liquid-cooled plate convective heat transfer coefficient calculation model, wherein the liquid-cooled plate convective heat transfer coefficient calculation model is obtained by calculating the attribute parameters of the liquid-cooled plate, and the attribute parameters include at least the contact area between the liquid-cooled plate and the liquid and the thermal conductivity of the liquid-cooled plate; and a generation module, used to generate a regression model based on multiple sets of mapping relationships between liquid parameters and convective heat transfer coefficients.

[0113] Optionally, the data processing device 600 for the battery liquid cooling plate may further include: a first acquisition unit for acquiring the heat generation power of the battery liquid cooling plate under the current operating conditions; and a second determination unit for determining reference liquid parameters based on the heat generation power and the reference convective heat transfer coefficient.

[0114] Optionally, the second determining unit may include: a calculation module for inputting the heat generation power and the reference convective heat transfer coefficient into the heat generation power calculation model to calculate and obtain the reference temperature; and a first determining module for determining the reference flow rate of the battery liquid cooling plate at the reference temperature based on the mapping relationship.

[0115] Optionally, the liquid-cooled plate testing system may include: a constant temperature water tank for regulating the liquid temperature; a water pump for regulating the liquid flow rate; and a constant temperature and humidity environment chamber for regulating the ambient temperature and humidity of the liquid-cooled plate testing system.

[0116] In this embodiment, the acquisition unit is used to acquire the reference convective heat transfer coefficient to be adjusted to under the current operating conditions of the battery liquid cooling plate; the determination unit is used to input the reference convective heat transfer coefficient into the regression model for parameter matching, and determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient, wherein the regression model is used to at least represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, and the reference liquid parameters are used to characterize the reference flow rate and reference temperature of the liquid; the adjustment unit is used to adjust the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient based on the reference liquid parameters, thereby solving the technical problem of low working efficiency of the battery liquid cooling plate and achieving the technical effect of improving the working efficiency of the battery liquid cooling plate.

[0117] Example 4

[0118] According to an embodiment of the present invention, a computer-readable storage medium is also provided, the storage medium including a stored program, wherein the program executes the data processing method for the battery liquid cooling plate in Embodiment 1.

[0119] Example 5

[0120] According to an embodiment of the present invention, a processor is also provided for running a program, wherein the program is executed by the processor to perform the data processing method for the battery liquid cooling plate in Embodiment 1.

[0121] Example 6

[0122] According to an embodiment of the present invention, a vehicle is also provided, which is used to perform any of the data processing methods for battery liquid cooling plates in Embodiment 1.

[0123] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0124] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0125] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0126] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0127] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0128] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0129] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A data processing method for a battery liquid cooling plate, characterized in that, include: Obtain the reference convective heat transfer coefficient of the battery liquid cooling plate to be adjusted under the current operating conditions; The reference convective heat transfer coefficient is input into the regression model for parameter matching to determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. The regression model is used to at least represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, which include the reference flow rate and reference temperature of the liquid. Based on the reference liquid parameters, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient; The method further includes: adjusting the liquid parameters of the liquid based on a liquid-cooled plate testing system to determine multiple sets of liquid parameters, wherein the liquid-cooled plate testing system includes at least a flow meter subsystem and a temperature sensor subsystem, the flow meter subsystem being used to test the liquid flow rate of the liquid, and the temperature sensor subsystem being used to test the liquid temperature of the liquid; and determining the convective heat transfer coefficient corresponding to each set of liquid parameters based on a liquid-cooled plate convective heat transfer coefficient calculation model, wherein the liquid-cooled plate convective heat transfer coefficient calculation model is as follows: In the calculation model of the convective heat transfer coefficient of the liquid cooling plate T 1 represents the geometric center temperature of the contact surface between the heating device and the temperature equalization device. T 2 represents the geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate. T in The inlet water temperature of the liquid-cooled plate test section. T out The outlet water temperature of the liquid-cooled plate test section. A 1 represents the upper surface area of ​​the temperature equalization device. d 1 represents the thickness of the temperature equalization device. The thermal conductivity of the temperature equalization device is given. A 2 represents the contact area between the liquid cooling plate and the coolant. d 2 represents the thickness of the contact surface between the liquid cooling plate and the temperature equalization device. The thermal conductivity of the liquid cooling plate is... h The convective heat transfer coefficient between the liquid cooling plate and the coolant is given; the regression model is generated based on multiple sets of mapping relationships between the liquid parameters and the convective heat transfer coefficient.

2. The method according to claim 1, characterized in that, The method further includes: Obtain the heat generation power of the battery liquid cooling plate under the current operating conditions; The reference liquid parameters are determined based on the heat generation power and the reference convective heat transfer coefficient.

3. The method according to claim 2, characterized in that, The method further includes determining the reference liquid parameters based on the heat generation power and the reference convective heat transfer coefficient, and the determination of the reference liquid parameters. The heat generation power and the reference convective heat transfer coefficient are input into the heat generation power calculation model for calculation to obtain the reference temperature; Based on the mapping relationship, the reference flow rate of the battery liquid cooling plate at the reference temperature is determined.

4. The method according to claim 1, characterized in that, The liquid-cooled plate testing system also includes: A constant temperature water tank is used to regulate the temperature of the liquid. A water pump is used to regulate the flow rate of the liquid; The constant temperature and humidity chamber is used to regulate the ambient temperature and humidity of the liquid-cooled plate testing system.

5. A data processing device for a battery liquid cooling plate, characterized in that, include: The acquisition unit is used to acquire the reference convective heat transfer coefficient of the battery liquid cooling plate to be adjusted under the current operating conditions; The determining unit is used to input the reference convective heat transfer coefficient into the regression model for parameter matching, and to determine the reference liquid parameters of the liquid in the battery liquid cooling plate that match the reference convective heat transfer coefficient. The regression model is used to at least represent the mapping relationship between the reference convective heat transfer coefficient and the reference liquid parameters, and the reference liquid parameters are used to characterize the reference flow rate and reference temperature of the liquid. An adjustment unit is used to adjust the original convective heat transfer coefficient of the battery liquid cooling plate to the reference convective heat transfer coefficient based on the reference liquid parameters. The data processing device for the battery liquid cooling plate is further configured to adjust the liquid parameters of the liquid based on the liquid cooling plate testing system, and determine multiple sets of liquid parameters. The liquid cooling plate testing system includes at least a flow meter subsystem and a temperature sensor subsystem. The flow meter subsystem is used to test the liquid flow rate of the liquid, and the temperature sensor subsystem is used to test the liquid temperature of the liquid. Based on the liquid cooling plate convective heat transfer coefficient calculation model, the device determines the convective heat transfer coefficient corresponding to each set of liquid parameters. The liquid cooling plate convective heat transfer coefficient calculation model is as follows: In the calculation model of the convective heat transfer coefficient of the liquid cooling plate T 1 represents the geometric center temperature of the contact surface between the heating device and the temperature equalization device. T 2 represents the geometric center temperature of the contact surface between the temperature equalization device and the liquid cooling plate. T in The inlet water temperature of the liquid-cooled plate test section. T out The outlet water temperature of the liquid-cooled plate test section. A 1 represents the upper surface area of ​​the temperature equalization device. d 1 represents the thickness of the temperature equalization device. The thermal conductivity of the temperature equalization device is given. A 2 represents the contact area between the liquid cooling plate and the coolant. d 2 represents the thickness of the contact surface between the liquid cooling plate and the temperature equalization device. The thermal conductivity of the liquid cooling plate is... h The convective heat transfer coefficient between the liquid cooling plate and the coolant is given; the regression model is generated based on multiple sets of mapping relationships between the liquid parameters and the convective heat transfer coefficient.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method according to any one of claims 1 to 4.

7. A processor, characterized in that, The processor is used to run a program, wherein the program is executed by the processor to perform the method according to any one of claims 1 to 4.

8. A vehicle, characterized in that, The vehicle is used to perform the data processing method for the battery liquid cooling plate according to any one of claims 1 to 4.

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