CN115901847A - Data processing method and device for battery liquid cold plate and storage medium - Google Patents
Data processing method and device for battery liquid cold plate and storage medium Download PDFInfo
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Abstract
The invention discloses a data processing method and device for a liquid cooling plate of a battery and a storage medium. Wherein, the method comprises the following steps: acquiring a reference convective heat transfer coefficient to be adjusted by a battery liquid cooling plate under the current working condition; inputting the reference convective heat transfer coefficient into a regression model for parameter matching, and determining a reference liquid parameter of the liquid in the battery liquid cold plate matched with the reference convective heat transfer coefficient, wherein the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter comprises the reference flow and the reference temperature of the liquid; and adjusting the original convective heat transfer coefficient of the liquid cooling plate of the battery to the reference convective heat transfer coefficient based on the reference liquid parameter. The invention solves the technical problem of low working efficiency of the liquid cooling plate of the battery.
Description
Technical Field
The invention relates to the field of batteries, in particular to a data processing method and device for a liquid cold plate of a battery and a storage medium.
Background
The vehicle battery mainly carries out heat exchange with the external world through the coolant liquid in the battery liquid cold plate, and from the whole heat transfer route of vehicle battery to coolant liquid, the heat transfer form of removing coolant liquid and liquid cold plate inner wall is heat convection, and other is the heat-conduction that the principle is simple.
In the related art, only a simple heat conduction process can be simulated through a thermal simulation technology, and for a complex convection heat transfer process, because too many variables are involved in a convection heat transfer coefficient, a general test method and a general test device are not available temporarily, so that the technical problem of low working efficiency of the liquid cooling plate of the battery is caused.
Aiming at the technical problem of low working efficiency of the battery liquid cooling plate, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a data processing method and device for a battery liquid cold plate and a storage medium, which are used for at least solving the technical problem of low working efficiency of the battery liquid cold plate.
According to one aspect of the embodiment of the invention, a data processing method of a liquid-cooling plate of a battery is provided. The method can comprise the following steps: acquiring a reference convective heat transfer coefficient to be adjusted by a battery liquid cooling plate under the current working condition; inputting the reference convective heat transfer coefficient into a regression model for parameter matching, and determining a reference liquid parameter of the liquid in the battery liquid cold plate matched with the reference convective heat transfer coefficient, wherein the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter comprises the reference flow and the reference temperature of the liquid; and adjusting the original convective heat transfer coefficient of the battery liquid cold plate to the reference convective heat transfer coefficient based on the reference liquid parameter.
Optionally, the method further comprises; the method comprises the steps that liquid parameters of liquid are adjusted based on a liquid cooling board testing system, and multiple groups of liquid parameters are determined, wherein the liquid cooling board testing system at least comprises a flowmeter subsystem and a temperature sensor subsystem, the flowmeter subsystem is used for testing the liquid flow of the liquid, and the temperature sensor subsystem is used for testing the liquid temperature of the liquid; based on the sets of liquid parameters, a regression model is generated.
Optionally, generating a regression model based on the plurality of sets of liquid parameters includes: determining a convective heat transfer coefficient corresponding to each group of liquid parameters in a plurality of groups of liquid parameters based on a liquid cooling plate convective heat transfer coefficient calculation model, wherein the liquid cooling plate convective heat transfer coefficient calculation model is obtained by calculating the attribute parameters of a liquid cooling plate, and the attribute parameters at least comprise the contact area between the liquid cooling plate and the liquid and the heat conductivity coefficient of the liquid cooling plate; and generating a regression model based on a plurality of groups of mapping relations between the liquid parameters and the convection heat exchange coefficients.
Optionally, obtaining heat generation power of the battery liquid cooling plate under the current working condition; and determining reference liquid parameters based on the heat production power and the reference convective heat transfer coefficient.
Optionally, the method further comprises determining a reference fluid parameter based on the heat generation power and a reference convective heat transfer coefficient, the method further comprising: inputting the heat production power and the reference convective heat transfer coefficient into a heat production power calculation model for calculation to obtain a reference temperature; and determining the reference flow of the battery liquid cooling plate at the reference temperature based on the mapping relation.
Optionally, the liquid cold plate test system further comprises: the constant-temperature water tank is used for adjusting the temperature of the liquid; the water pump is used for adjusting the liquid flow; and the constant temperature and humidity environment bin is used for adjusting the environment temperature and the environment humidity of the liquid cooling plate test system.
According to one aspect of the embodiment of the invention, a data processing device of a battery liquid cooling plate is provided. The device comprises: the acquisition unit is used for acquiring a reference convective heat transfer coefficient to be adjusted by the battery liquid cooling plate under the current working condition; the device comprises a determining unit, a calculating unit and a calculating unit, wherein the determining unit is used for inputting a reference convective heat transfer coefficient into a regression model for parameter matching and determining a reference liquid parameter of liquid in a battery liquid cold plate matched with the reference convective heat transfer coefficient, the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter is used for representing the reference flow and the reference temperature of the liquid; and the adjusting unit is used for adjusting the original convective heat transfer coefficient of the liquid cold plate of the battery to the reference convective heat transfer coefficient based on the reference liquid parameter.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium. The computer-readable storage medium comprises a stored program, wherein when the program runs, the apparatus in which the computer-readable storage medium is located is controlled to execute the data processing method of the battery liquid cooling plate according to the embodiment of the invention.
According to another aspect of the embodiments of the present invention, there is also provided a processor. The processor is configured to execute a program, wherein the program executes the data processing method of the battery liquid cooling board according to the embodiment of the present invention when the program is executed by the processor.
According to another aspect of the embodiment of the invention, the vehicle is further provided and is used for executing the data processing method of the battery liquid cooling plate.
In the embodiment of the invention, the reference convective heat transfer coefficient to be adjusted by the battery liquid cooling plate under the current working condition is obtained; inputting the reference convective heat transfer coefficient into a regression model for parameter matching, and determining a reference liquid parameter of the liquid in the battery liquid cold plate matched with the reference convective heat transfer coefficient, wherein the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter comprises the reference flow and the reference temperature of the liquid; and adjusting the original convective heat transfer coefficient of the battery liquid cold plate to the reference convective heat transfer coefficient based on the reference liquid parameter. That is to say, in the embodiment of the present invention, a reference convective heat transfer coefficient to be adjusted to by the battery liquid cooling plate under the current working condition is first obtained, then the obtained reference convective heat transfer coefficient is input into the regression model to perform parameter matching, so as to determine a reference liquid parameter of the liquid in the battery liquid cooling plate that matches the reference convective heat transfer coefficient, and finally, according to the reference liquid parameter including the reference flow and the reference temperature, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient, thereby achieving the purpose of determining the cooling liquid flow and the cooling liquid temperature target parameter that meet the specific battery working condition more conveniently, further 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.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a data processing method of a battery liquid cooling plate according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a system for testing convective heat transfer coefficient of a liquid cooling plate according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a thermometric sensor arrangement according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method of generating a regression model according to an embodiment of the invention;
FIG. 5 is a flow chart of a method of obtaining reference fluid parameters according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a data processing apparatus of a liquid cold plate of a battery according to an embodiment of the invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided a method for data processing of a battery fluid-cooled plate, where the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer executable instructions, and where a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that illustrated herein.
Fig. 1 is a flowchart of a data processing method of a battery liquid cooling board according to an embodiment of the present invention, and as shown in fig. 1, the method may include the following steps:
step S101, obtaining a reference convection heat transfer coefficient to be adjusted by the battery liquid cooling plate under the current working condition.
In the technical scheme provided in step S101 of the present invention, a current working condition is determined by setting a relevant condition, so as to obtain a reference convective heat transfer coefficient to be adjusted by the battery liquid cooling plate under the current working condition, where the current working condition may be a working environment in which the battery liquid cooling plate is currently located, the working environment may include temperature, power, and the like, and the reference convective heat transfer coefficient may be used to indicate a convective heat transfer coefficient that meets a battery thermal management requirement under the current working condition, which is only described as an example and is not specifically limited herein.
Optionally, the battery liquid cooling plate may reflect different working environments under different working conditions, where variables in the working environments may be fluid types, temperatures, flow channel structures, materials, and the like, and if any of the variables in the working environments changes, different reference convective heat transfer coefficients may be caused, for example, if the temperature rises, and variables in other working environments remain unchanged, the reference convective heat transfer coefficients change accordingly; when the material changes and the variables in other working environments remain unchanged, the convective heat transfer coefficient is referred to and accordingly changed, which is only for illustration and is not specifically limited.
Step S102, inputting the reference convective heat transfer coefficient into a regression model for parameter matching, and determining a reference liquid parameter of the liquid in the battery liquid cold plate matched with the reference convective heat transfer coefficient, wherein the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter comprises a reference flow and a reference temperature of the liquid.
In the technical scheme provided in step S102 of the present invention, the regression model may be a mathematical model for representing a mapping relationship between a reference convective heat transfer coefficient and a reference liquid parameter, where the reference liquid parameter related in the regression model includes a reference flow rate and a reference temperature, after the regression model receives the reference convective heat transfer coefficient, parameter matching may be performed based on the reference convective heat transfer coefficient, and when multiple sets of reference liquid parameters that match the reference convective heat transfer coefficient and satisfy the battery thermal management requirement are matched in the regression model, the reference liquid parameter that can be reached by the vehicle thermal management system may be obtained by combining the water pump capability and the temperature resistance capability of the vehicle thermal management system, so as to determine the reference liquid parameter of the liquid in the battery liquid-cooled plate that matches the reference convective heat transfer coefficient.
Optionally, when a reference liquid parameter of the liquid in the battery liquid-cold plate that matches the reference convective heat transfer coefficient is determined, a specific condition to be met by the battery thermal management requirement may be obtained, where the specific condition is defined by a reference flow and a reference temperature of the liquid included in the determined reference liquid parameter, the reference flow may be used to represent a flow value to be met by the battery thermal management requirement, and the reference temperature may be used to represent a temperature value to be met by the battery thermal management requirement.
Step S103, adjusting the original convection heat transfer coefficient of the battery liquid cold plate to the reference convection heat transfer coefficient based on the reference liquid parameter.
In the technical scheme provided in step S103 of the present invention, after the reference liquid parameter output by the regression model is obtained, the original convective heat transfer coefficient of the battery liquid cold plate is adjusted to the reference convective heat transfer coefficient by adjusting the currently monitored flow and temperature to the reference flow and reference temperature output by the regression model, so as to achieve the purpose of determining the target parameters of the coolant flow and the coolant temperature according with the specific battery condition more conveniently.
Optionally, the current monitored flow and temperature are adjusted by a set adjusting mechanism based on a reference liquid parameter output by the regression model, and when the current monitored flow and temperature are adjusted to the reference flow and reference temperature, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient by a set feedback mechanism, wherein the adjusting mechanism is used for adjusting the flow and temperature in time to meet the battery thermal management requirement, and the feedback mechanism is used for adjusting the original convective heat transfer coefficient to the reference convective heat transfer coefficient in response to the original flow and temperature being respectively adjusted to the reference flow and reference temperature.
Optionally, the currently monitored flow rate and temperature may be adjusted in parallel through a set timing concurrency mechanism, so as to adjust to the reference flow rate and the reference temperature at the same time, so as to shorten the time consumed by adjustment and adjust to the reference convective heat transfer coefficient as soon as possible in a parallel manner, which is not limited herein.
In the present application, in the steps from S101 to S103, the reference convective heat transfer coefficient to be adjusted of the battery liquid cooling plate under the current working condition is obtained; inputting the reference convective heat transfer coefficient into a regression model for parameter matching, and determining a reference liquid parameter of the liquid in the battery liquid cold plate matched with the reference convective heat transfer coefficient, wherein the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter comprises the reference flow and the reference temperature of the liquid; and adjusting the original convective heat transfer coefficient of the liquid cooling plate of the battery to the reference convective heat transfer coefficient based on the reference liquid parameter. That is to say, in the embodiment of the present invention, a reference convective heat transfer coefficient to be adjusted to by the battery liquid cooling plate under the current working condition is first obtained, then the obtained reference convective heat transfer coefficient is input into the regression model to perform parameter matching, so as to determine a reference liquid parameter of the liquid in the battery liquid cooling plate that matches the reference convective heat transfer coefficient, and finally, according to the reference liquid parameter including the reference flow and the reference temperature, the original convective heat transfer coefficient of the battery liquid cooling plate is adjusted to the reference convective heat transfer coefficient, thereby achieving the purpose of determining the cooling liquid flow and the cooling liquid temperature target parameter that meet the specific battery working condition more conveniently, further 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.
The above-described method of this embodiment is further described below.
As an optional embodiment, the data processing method of the battery liquid cooling plate further includes: the method comprises the steps that liquid parameters of liquid are adjusted based on a liquid cooling board testing system, and multiple groups of liquid parameters are determined, wherein the liquid cooling board testing system at least comprises a flowmeter subsystem and a temperature sensor subsystem, the flowmeter subsystem is used for testing the liquid flow of the liquid, and the temperature sensor subsystem is used for testing the liquid temperature of the liquid; based on the sets of liquid parameters, a regression model is generated.
In this embodiment, can carry out the adaptability to the liquid parameter of liquid according to water pump ability, the temperature-resistant ability of whole car thermal management system to confirm the multiunit liquid parameter that whole car thermal management system can satisfy, thereby based on the multiunit liquid parameter that obtains, generate regression model, wherein, carry out the adaptability to the liquid parameter of liquid and include: the liquid flow is adjusted for multiple times, whether the adjusted liquid flow is suitable for the water pump capacity of the whole vehicle heat management system is determined through the flowmeter subsystem, and if the adjusted liquid flow is suitable for the water pump capacity of the whole vehicle heat management system, the adjusted liquid flow is recorded; the liquid temperature is adjusted for multiple times, whether the adjusted liquid temperature is suitable for the temperature resistance of the whole vehicle heat management system or not is determined through the temperature sensor subsystem, if the adjusted liquid temperature is suitable for the temperature resistance of the whole vehicle heat management system, the adjusted liquid temperature is recorded, and the adjusted liquid flow and the adjusted liquid temperature are combined to obtain multiple groups of liquid parameters.
As an alternative embodiment, the generating the regression model based on the plurality of sets of liquid parameters includes: determining a convective heat transfer coefficient corresponding to each group of liquid parameters in a plurality of groups of liquid parameters based on a liquid cooling plate convective heat transfer coefficient calculation model, wherein the liquid cooling plate convective heat transfer coefficient calculation model is obtained by calculating the attribute parameters of a liquid cooling plate, and the attribute parameters at least comprise the contact area between the liquid cooling plate and liquid and the heat conductivity coefficient of the liquid cooling plate; and generating a regression model based on a plurality of groups of mapping relations between the liquid parameters and the convection heat exchange coefficients.
In this embodiment, the attribute parameters of the liquid cooling plate and each group of liquid parameters in the multiple groups of liquid parameters are input into the convective heat transfer coefficient calculation model of the liquid cooling plate for calculation, so as to obtain the convective heat transfer coefficient corresponding to each group of liquid parameters in the multiple groups of liquid parameters, wherein the attribute parameters may include: the geometric center temperature of the contact surface of the heating device and the temperature equalizing device, the geometric center temperature of the contact surface of the temperature equalizing device and the liquid cooling plate, the inlet water temperature of a liquid cooling plate testing section, the outlet water temperature of the liquid cooling plate testing section, the flow velocity of cooling liquid in the liquid cooling plate, the upper surface area of the temperature equalizing device, the thickness of the temperature equalizing device, the heat conductivity coefficient of the temperature equalizing device, the contact area of the liquid cooling plate and the cooling liquid, the plate thickness of the contact surface of the liquid cooling plate and the temperature equalizing device and the heat conductivity coefficient of the liquid cooling plate; and mathematically inducing based on the obtained multiple groups of mapping relations between the convective heat transfer coefficients and the liquid parameters under the corresponding working conditions, thereby obtaining a regression model.
Optionally, the calculation model of convective heat transfer coefficient of the liquid cooling plate is shown as follows:
wherein, T 1 Is the geometric center temperature T of the contact surface of the heating device and the temperature equalizing device 2 The geometric center temperature T of the contact surface of the temperature equalizing device and the liquid cooling plate in For the inlet water temperature, T, of the liquid cooling plate test section out For the outlet water temperature, V, of the liquid cooling plate test section 1 For the flow rate of the cooling liquid in the liquid-cooled plates, A 1 Is the upper surface area of the temperature equalizing device, d 1 Thickness of the temperature-uniforming device, delta 1 Is the thermal conductivity coefficient of the temperature equalizing device, A 2 The contact area of the liquid-cooled plate and the cooling liquid, d 2 The thickness delta of the contact surface of the liquid cooling plate and the temperature equalizing device 2 Is the heat conductivity coefficient of the liquid cooling plate, and h is the heat convection coefficient between the liquid cooling plate and the cooling liquid.
Alternatively, the regression model is represented by the following formula:
h＝f(q，t)
wherein q is the coolant flow rate and t is the coolant temperature.
Optionally, after all the test temperature points are temperature-stabilized, the respective attribute parameters are obtained by: acquiring the temperature of each temperature measuring point through a temperature sensor subsystem, namely acquiring the geometric central temperature of a contact surface of a heating device and a temperature equalizing device, the geometric central temperature of a contact surface of the temperature equalizing device and a liquid cooling plate, the inlet water temperature of a liquid cooling plate testing section and the outlet water temperature of the liquid cooling plate testing section; acquiring the flow rate of cooling liquid in the liquid cooling plate through a flow meter subsystem; and accessing a heat management system of the whole vehicle to obtain other determined attribute parameters, namely, the upper surface area of the temperature equalizing device, the thickness of the temperature equalizing device, the heat conductivity coefficient of the temperature equalizing device, the contact area of the liquid cooling plate and the cooling liquid, the plate thickness of the contact surface of the liquid cooling plate and the temperature equalizing device and the heat conductivity coefficient of the liquid cooling plate, and inputting each obtained attribute parameter into the liquid cooling plate convection heat transfer coefficient calculation model for calculation.
As an optional embodiment, the data processing method of the battery liquid cooling plate further includes: acquiring heat production power of the battery liquid cooling plate under the current working condition; and determining reference liquid parameters based on the heat generation power and the reference convective heat transfer coefficient.
In the embodiment, the heating device is set to determine the current working condition, so that the heat generation power of the battery liquid cooling plate under the current working condition is obtained, wherein the heating device is set differently, and the heat generation power is different if the current working condition is different; and determining reference liquid parameters based on the obtained heat generation power and the reference convective heat transfer coefficient obtained by the regression model.
As an alternative embodiment, the method further comprises determining a reference liquid parameter based on the heat production power and a reference convective heat transfer coefficient, and the method further comprises: inputting the heat production power and the reference convective heat transfer coefficient into a heat production power calculation model for calculation to obtain a reference temperature; and determining the reference flow of the battery liquid cooling plate at the reference temperature based on the mapping relation.
In this embodiment, after the convective heat transfer coefficient corresponding to each group of liquid parameters in the multiple groups of liquid parameters is determined based on the liquid cooling plate convective heat transfer coefficient calculation model, the known heat transfer area between the liquid cooling plate and the electric core and the target temperature of the electric core are obtained by accessing the entire vehicle heat management system, and the obtained heat generation power, the reference convective heat transfer coefficient, the heat transfer area between the liquid cooling plate and the electric core and the target temperature of the electric core are input to the heat generation power calculation model for calculation, so that the unknown reference temperature is solved, and after the reference temperature is obtained by solving, the unknown reference flow is solved based on the mapping relationship between the reference convective heat transfer coefficient, the reference temperature and the reference flow, so as to determine the reference flow of the liquid cooling plate at the reference temperature, thereby achieving the purpose of conveniently determining the target parameters of the cooling liquid flow and the cooling liquid temperature according with the specific battery working conditions.
Optionally, the heat generation power calculation model is as follows:
Q bat ＝AΔTh＝A|T target -t|·f(q，t)
wherein Q is bat For the heat production power of a certain electric core under a certain working condition, A is the heat exchange area of the liquid cooling plate and the electric core, T target And t is the battery core target temperature and the coolant temperature.
As an optional embodiment, the liquid cooling plate testing system further includes: the constant-temperature water tank is used for adjusting the temperature of the liquid; the water pump is used for adjusting the liquid flow; and the constant-temperature and constant-humidity environment bin is used for adjusting the environment temperature and the environment humidity of the liquid cooling plate test system.
In this embodiment, the liquid cold plate test system may further include: the heating device is used for outputting constant heat generation power; the liquid cooling plate is used as a test object of the convective heat transfer coefficient to be tested; the temperature equalizing device is used for equalizing and transferring the heat generated by the heating device; and the data acquisition processing module and the acquisition line are used for acquiring and recording the numerical values of all the sensors in the system.
According to the embodiment, multiple groups of liquid parameters are determined by adjusting the liquid parameters, then, based on the liquid cooling plate heat convection coefficient calculation model, the heat convection coefficient corresponding to each group of liquid parameters in the multiple groups of liquid parameters is determined, the heat production power of the battery liquid cooling plate under the current working condition is obtained, the obtained heat convection coefficient and the obtained heat production power are input into the heat production power calculation model to be calculated, the reference liquid parameters are determined, and the regression model is finally generated.
Example 2
The technical solutions of the embodiments of the present invention will be illustrated below with reference to preferred embodiments.
When the battery thermal management system adopts an active thermal management mode, a liquid cooling scheme is usually selected to exchange heat with the outside. However, for different liquid cooling schemes, the quality of the heat exchange capability is difficult to evaluate, and therefore, a method for detecting the contact thermal resistance of the battery thermal management system is needed to evaluate the heat exchange capability of the different liquid cooling schemes. In a related art, a method for detecting contact thermal resistance of a battery thermal management system is disclosed, which includes initializing parameters of the battery thermal management system; charging and discharging the battery according to a charging strategy; adjusting the temperature of the environmental chamber to the highest temperature of the battery according to a preset temperature adjustment period, and acquiring the operation parameters of the battery thermal management system in real time until the highest temperature and/or the lowest temperature of the battery are kept unchanged within a time threshold; and calculating the contact thermal resistance according to the operation parameters, but the method utilizes the battery cell as a heat source, can not generate heat at constant power, and further is difficult to achieve the thermal balance working condition and influence the test accuracy.
In another related technology, a method and a system for testing heat transfer resistance of a lithium ion battery module are disclosed, and by the system and the method for testing heat transfer resistance of the lithium ion battery module, the thermal resistance R between a winding core and a shell of a lithium ion battery updated in the lithium ion battery module can be tested and calibrated cell-shell Thermal resistance R between winding core and shell of lithium ion battery after thermal runaway cell-shell And the sheet thermal resistance (which can also be understood as contact thermal resistance) between the lithium ion battery and the updated lithium ion battery after thermal runaway, namely R layer However, the heat transfer resistance inside the battery module is finally obtained by the method, and the convective heat resistance and convective heat transfer coefficient of the liquid cooling plate of the battery are not obtained.
In another related art, a method for rapidly testing interfacial thermal resistance of a power battery cell is disclosed, and the method may include: placing the testing device in a constant-temperature environment and suspending the testing device; the heating unit emits heat and starts to heat the power battery monomer; testing the temperature of a point A and a point B by using a temperature measuring instrument, wherein the point A is the left central point of the heat conducting unit, and the point B is the right central point of the power battery monomer positioned on the right side; and when the temperature of the point A and the temperature of the point B are stable, calculating the power consumption of the heating unit and the difference value between the temperature of the point A and the temperature of the point B, and calculating the interface thermal resistance according to the power consumption of the heating unit and the difference value between the temperature of the point A and the temperature of the point B.
However, the embodiment of the present invention provides a data processing method for a liquid-cooling plate of a battery. The method can be used to guide actual engineering parameter settings. When the reference convective heat transfer coefficient to be adjusted under the current working condition is obtained, the regression model is used for determining the reference liquid parameter, and adjustment is carried out based on the reference liquid parameter, so that the technical problem of low working efficiency of the liquid cold plate of the battery is solved.
Fig. 2 is a schematic diagram of a system for testing convective heat transfer coefficient of a liquid cooling plate according to an embodiment of the present invention, and as shown in fig. 2, the system for testing convective heat transfer coefficient of a liquid cooling plate includes: heating device 010, samming device 020, liquid cooling plate 030, constant temperature water tank 040, water pump 050, water pipe 060, data acquisition and processing module and collection line 090, power and supply line 100, constant temperature and humidity environment storehouse 110.
Heating device 010 for export invariable heat production power, the lower surface of heating device 010 and the upper surface contact of samming device 020, other surfaces cladding low coefficient of thermal conductivity's insulation material of heating device 010, for example: aerogel blankets and the like; samming device 020 for with the heat samming transmission of heating device 010 output, samming device 020's shape can be cylinder or cuboid, its characterized in that: the areas and the shapes of the upper surface and the lower surface are the same as those of the upper surface of the liquid cooling plate 030, the area of the upper surface is far larger than that of the side surface, the lower surface of the temperature equalizing device 020 is in contact with the upper surface of the liquid cooling plate 030, and other surfaces of the temperature equalizing device 020 are coated with a heat insulating material with a low heat conductivity coefficient; the liquid cooling plate 030 is used as a test object of the measured convective heat transfer coefficient, and other surfaces of the liquid cooling plate 030 are coated with a heat insulation material with low heat conductivity coefficient; the constant-temperature water tank 040 is used for adjusting the temperature of the liquid, and the constant-temperature water tank 040 is connected to the water pump 050 and the liquid cooling plate 030 through a water pipe 060; a water pipe 060 for connecting the whole water cooling circuit; the data acquisition and processing module and the acquisition line 090 are used for acquiring and recording numerical values of all sensors in the system, the data acquisition and processing module and the acquisition line 090 are connected to the lower surface of the heating device 010 and the upper surface of the temperature equalizing device 020, and the data acquisition and processing module and the acquisition line 090 are also connected to the lower surface of the temperature equalizing device 020 and the upper surface of the liquid cooling plate 030; a power and supply line 100 for supplying the heating device 010 with power, the power and supply line 100 being connected to the heating device 010; and the constant temperature and humidity environment bin 110 is used for adjusting the environment temperature and the environment humidity of the liquid cooling plate test system, and all the devices are uniformly distributed in the constant temperature and humidity environment bin 110.
When switch on power supply 100, heating device 010 is started, begin to export invariable heat production power, the transmission of the even temperature of heat of heating device 010 produced is put through even temperature device 020, at this moment, water pump 050 leads to pipe 060 carries the coolant liquid to liquid cooling plate 030, thereby carry out the heat exchange with the external world with the help of liquid cooling plate 030, then, carry out temperature regulation to the coolant liquid through the heat exchange via thermostatic water tank 040 again, the coolant liquid of accomplishing temperature regulation continues to be carried to liquid cooling plate 030 by water pump 050 leads to pipe 060, carry out the heat exchange, accomplish the cooling until the battery.
FIG. 3 is a schematic diagram of a thermometric sensor arrangement according to an embodiment of the present invention, as shown in FIG. 3, the thermometric sensor arrangement comprising: heating device 010, temperature equalizing device 020, liquid cooling plate 030, flowmeter 070, temperature sensor 080.
The heating device 010, the temperature equalizing device 020 and the liquid cooling plate 030 are arranged as shown in fig. 2, and proper amounts of heat-conducting gel are coated between the heating device 010 and the temperature equalizing device 020 and between the temperature equalizing device 020 and the liquid cooling plate 030; the flowmeter 070 is used for testing the liquid flow of the liquid, and the flowmeter 070 is arranged at the liquid cooling plate 030; temperature sensor 080 for testing the liquid temperature of liquid, set up a temperature measurement point respectively in the water inlet of liquid cooling plate 030 and delivery port department, set up at least one temperature measurement point between heating device 010 and samming device 020, set up at least one temperature measurement point between samming device 020 and liquid cooling plate 030, and the temperature measurement point between heating device 010 and samming device 020 and the temperature measurement point Z between samming device 020 and liquid cooling plate 030 project the coincidence.
When the convective heat transfer coefficient calculation model of the liquid cooling plate is used for calculating the convective heat transfer coefficient corresponding to each group of liquid parameters in a plurality of groups of liquid parameters, the temperature of the temperature measuring points at the water inlet and the water outlet of the liquid cooling plate 030 is obtained through the arranged temperature measuring sensors, the temperature of the temperature measuring point between the heating device 010 and the temperature equalizing device 020 and the temperature of the temperature measuring point between the temperature equalizing device 020 and the liquid cooling plate 030 are obtained at the same time, and the obtained temperatures are subjected to data processing and input into the convective heat transfer coefficient calculation model of the liquid cooling plate, so that the convective heat transfer coefficient calculation process is carried out.
To implement the method for generating a regression model, fig. 4 is a flowchart of a method for generating a regression model according to an embodiment of the present invention, and as shown in fig. 4, the method for generating may include the following steps:
and S401, completing the construction of the liquid cooling plate convective heat transfer coefficient test system.
The construction of the system for testing the convective heat transfer coefficient of the liquid cooling plate according to the embodiment can be performed by adopting the system for testing the convective heat transfer coefficient of the liquid cooling plate shown in fig. 2.
Step S402, after the construction of the convection heat transfer coefficient test system of the liquid cooling plate is completed, the heating device is started to carry out constant power heating, and the water pump is started to feed cooling liquid into the liquid cooling plate at a constant flow rate.
In step S403, after the heating is completed and the cooling liquid is introduced, the temperature of the constant temperature water tank is adjusted, and the temperature of the cooling liquid at the water inlet of the flow channel is adjusted.
And S404, after the temperature of the cooling liquid at the water inlet is adjusted, acquiring data of all temperature measuring points, and recording the data at regular intervals until the temperature of all the temperature measuring points is stable.
Step S405, after the temperature of all temperature measuring points is stable, acquiring the following attribute parameters: the geometric center temperature of the contact surface of the heating device and the temperature equalizing device, the geometric center temperature of the contact surface of the temperature equalizing device and the liquid cooling plate, the inlet water temperature of the testing section of the liquid cooling plate, the outlet water temperature of the testing section of the liquid cooling plate and the flow rate of the cooling liquid in the liquid cooling plate.
And step S406, calculating to obtain the current convection heat transfer coefficient based on the acquired attribute parameters.
And step 407, repeating the steps 402 to 406 for multiple times until obtaining enough convective heat transfer coefficients for inductive summarization to obtain a regression model.
And finally obtaining the regression model through the processing of the steps. In the whole construction process of the regression model, firstly, the construction of a liquid cooling plate convective heat transfer coefficient test system is completed; secondly, a power supply is switched on to start the heating device, constant-power heating is carried out, a water pump is started, and cooling liquid is led into the liquid cooling plate at a constant flow rate through a water pipe, so that heat exchange is carried out with the outside through the liquid cooling plate; then, adjusting the temperature of the constant temperature water tank, and adjusting the temperature of the cooling liquid at the water inlet of the flow channel so as to adjust the temperature of the cooling liquid which flows into the constant temperature water tank and is subjected to heat exchange; thirdly, collecting data of all temperature measuring points, and recording the data once at regular intervals to ensure that the data of the current temperature measuring points are effective and can be used in a liquid-cooled plate convection heat transfer coefficient calculation model; then, when the temperatures of all temperature measuring points are stable, acquiring all unknown attribute parameters, and inputting the acquired attribute parameters into the liquid cooling plate convective heat transfer coefficient calculation model to calculate the current convective heat transfer coefficient; and repeating the steps except the step of building the liquid cooling plate convective heat transfer coefficient test system, outputting the convective heat transfer coefficient corresponding to each group of liquid parameters in the multiple groups of liquid parameters, and generating a regression model based on the mapping relation.
Optionally, the calculation model of convective heat transfer coefficient of the liquid cooling plate is as follows:
wherein, T 1 Can be used for representing the geometric center temperature T of the contact surface of the heating device and the temperature equalizing device 2 Can be used for representing the geometric center temperature T of the contact surface of the temperature equalizing device and the liquid cooling plate in For the inlet water temperature, T, of the liquid cooling plate test section out For the outlet water temperature, V, of the liquid cooling plate test section 1 For the flow rate of the cooling liquid in the liquid-cooled plates, A 1 Is the upper surface area of the temperature equalizing device, d 1 Thickness of the temperature equalizer, delta 1 Is the thermal conductivity of the temperature equalizing device, A 2 The contact area of the liquid-cooled plate and the cooling liquid, d 2 Is a liquid cooling plate and a temperature equalizationThickness of the contact surface of the device, delta 2 Is the heat conductivity of the liquid-cooled plate, and h is the convective heat transfer coefficient between the liquid-cooled plate and the coolant, i.e. the desired flow rate q of the coolant 1 Temperature t of the coolant 1 Convection heat transfer coefficient of liquid cooling plate under the conditions:
h＝f(v，l，ρ，η，λ，C p )
wherein v is the flow velocity of the heat exchange medium, l is the characteristic length, ρ is the fluid density, η is the hydrodynamic viscosity, λ is the thermal conductivity, C p For constant pressure specific heat capacity, the flow channel l with a specific structure is not changed, and the liquid temperature simultaneously influences rho, eta, lambda and C of the fluid p Therefore, the above formula h = f (v, l, ρ, η, λ, C) can be expressed p ) The method is simplified as follows:
h＝f(v，t)
where t is the different coolant temperatures.
Different temperatures t of the cooling liquid can be obtained by adjusting the power of the heating device and the water temperature of the water inlet of the liquid cooling plate; then the flow q of the cooling liquid is adjusted by a water pump 1 Flowing out, namely obtaining the flow velocity V of the cooling liquid in different liquid cooling plates 1 (ii) a Therefore, based on the above formula h = f (v, t), a regression model of the convective heat transfer coefficient based on the coolant temperature and the coolant flow rate can be obtained:
h＝f(q，t)
in addition, the embodiment of the invention also provides a method for acquiring the key parameters of the liquid cooling system. The method is based on a regression model and a heat generation power calculation model to determine the temperature and the flow of the cooling liquid according with the working condition of a specific battery, namely, key parameters of the liquid cooling system are obtained.
In order to implement the method for obtaining key parameters of a liquid cooling system, fig. 5 is a flowchart of a method for obtaining key parameters of a liquid cooling system according to an embodiment of the present invention, and as shown in fig. 5, the method may include the following steps:
step S501, a regression model is obtained.
Step S502, after obtaining the regression model, obtains the following data: the heat production power of the battery liquid cooling plate under the current working condition, the target temperature of the battery core, the heat exchange area between the liquid cooling plate and the battery core and the maximum capacity of the water pump.
In step S503, a cooling liquid temperature is set based on the data acquired above, wherein the cooling liquid temperature is generally 10 ℃ to 30 ℃.
In step S504, a corresponding flow rate is obtained from the map based on the set coolant temperature.
Step S505, after the corresponding flow is obtained, whether the capacity of the water pump meets the flow requirement is judged; if the water pump capacity meets the flow requirement, the method proceeds to step S506, and records the parameter combination meeting the heat management requirement of the battery core under the current working condition; if the water pump capacity does not meet the flow demand, the flow proceeds to step S503 to continue setting the coolant temperature.
After a regression model generated based on a plurality of groups of mapping relations is obtained, the heat production power of a battery liquid cooling plate under the current working condition, the target temperature of an electric core, the heat exchange area of the liquid cooling plate and the electric core and the maximum capacity of a water pump are obtained, then the temperature of cooling liquid is set in the range of 10-30 ℃ through a heat production power calculation model according to the obtained data, after the temperature of the cooling liquid is set, the temperature value of the cooling liquid is input into the mapping relation, so that the corresponding flow is obtained through the mapping relation, then, the maximum capacity of the water pump is combined to judge whether the capacity of the water pump meets the flow requirement, if the capacity of the water pump meets the flow requirement, the current parameter combination is recorded, the original parameter combination is adjusted to the recorded current parameter combination, if the capacity of the water pump does not meet the flow requirement, the temperature of the cooling liquid is continuously set, the flow is obtained again, and whether the capacity of the water pump meets the flow requirement is judged again.
Optionally, the heat generation power calculation model is as follows:
Q bat ＝AΔTh＝A|T target -t|·f(q，t)
wherein Q bat For the heat production power of a certain electric core under a certain working condition, A is the heat exchange area of the liquid cooling plate and the electric core, T target And t is the battery core target temperature and the coolant temperature.
In the embodiment, firstly, a convective heat transfer coefficient corresponding to each group of liquid parameters in a plurality of groups of liquid parameters is obtained through a convective heat transfer coefficient calculation model of a liquid cooling plate; thirdly, obtaining a regression model through multiple times of training based on the mapping relation; then, determining the temperature and the flow of the cooling liquid according with the heat management requirement based on the regression model and the heat generation power calculation model, and completing the acquisition of key parameters of the liquid cooling system; and finally, adjusting the original liquid parameters to the acquired liquid parameters, and simultaneously adjusting the original convection heat transfer coefficient of the battery liquid cooling plate to the reference convection 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.
Example 3
According to the embodiment of the invention, the invention further provides a data processing device of the battery liquid cold plate. It should be noted that the data processing apparatus of the battery liquid cooling plate may be used to perform the data processing method of the battery liquid cooling plate in embodiment 1.
Fig. 6 is a schematic diagram of a data processing apparatus of a battery liquid cold plate according to an embodiment of the invention. As shown in fig. 6, a data processing apparatus 600 for a battery liquid-cooled plate may include: an acquisition unit 601, a determination unit 602, and an adjustment unit 603.
The obtaining unit 601 is configured to obtain a reference convective heat transfer coefficient to be adjusted by the battery liquid cooling plate under the current working condition.
The determining unit 602 is configured to input the reference convective heat transfer coefficient into a regression model for parameter matching, and determine a reference fluid parameter of the fluid in the battery fluid-cooled plate, where the reference convective heat transfer coefficient is matched with the reference convective heat transfer coefficient, the regression model is at least used to represent a mapping relationship between the reference convective heat transfer coefficient and the reference fluid parameter, and the reference fluid parameter is used to represent a reference flow rate and a reference temperature of the fluid.
The adjusting unit 603 is configured to adjust the original convective heat transfer coefficient of the liquid-cooling plate of the battery to the reference convective heat transfer coefficient based on the reference liquid parameter.
Optionally, the data processing apparatus 600 of the battery liquid-cold plate may further include: the liquid cooling board testing system at least comprises a flowmeter subsystem and a temperature sensor subsystem, wherein the flowmeter subsystem is used for testing the liquid flow of the liquid, and the temperature sensor subsystem is used for testing the liquid temperature of the liquid; and the generating unit is used for generating a regression model based on the plurality of groups of liquid parameters.
Optionally, the generating unit may include: the determination module is used for determining the convective heat transfer coefficient corresponding to each group of liquid parameters in the multiple groups of liquid parameters based on the liquid cooling plate convective heat transfer coefficient calculation model, wherein the liquid cooling plate convective heat transfer coefficient calculation model is obtained by calculating the attribute parameters of the liquid cooling plate, and the attribute parameters at least comprise the contact area between the liquid cooling plate and the liquid and the heat conductivity coefficient of the liquid cooling plate; and the generating module is used for generating a regression model based on a plurality of groups of mapping relations between the liquid parameters and the convection heat exchange coefficients.
Optionally, the data processing apparatus 600 of the battery liquid-cold plate may further include: the first acquisition unit is used for acquiring the heat generation power of the battery liquid cooling plate under the current working condition; and the second determining unit is used for determining the reference liquid parameter based on the heat generation power and the reference convective heat transfer coefficient.
Alternatively, the second determination unit may include: the calculation module is used for inputting the heat production power and the reference convective heat transfer coefficient into the heat production power calculation model for calculation to obtain a reference temperature; and the first determination module is used for determining the reference flow of the battery liquid cooling plate at the reference temperature based on the mapping relation.
Optionally, the liquid-cooled board testing system may include: the constant-temperature water tank is used for adjusting the temperature of the liquid; the water pump is used for adjusting the liquid flow; and the constant-temperature and constant-humidity environment bin is used for adjusting the environment temperature and the environment humidity of the liquid cooling plate test system.
In this embodiment, the obtaining unit is configured to obtain a reference convective heat transfer coefficient to which the battery liquid cooling plate is to be adjusted under a current working condition; the device comprises a determining unit, a calculating unit and a calculating unit, wherein the determining unit is used for inputting a reference convective heat transfer coefficient into a regression model for parameter matching and determining a reference liquid parameter of liquid in a battery liquid cold plate matched with the reference convective heat transfer coefficient, the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter is used for representing the reference flow and the reference temperature of the liquid; the adjusting unit is used for adjusting the original convection heat transfer coefficient of the battery liquid cooling plate to the reference convection heat transfer coefficient based on the reference liquid parameter, so that the technical problem of low working efficiency of the battery liquid cooling plate is solved, and the technical effect of improving the working efficiency of the battery liquid cooling plate is achieved.
Example 4
According to an embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program executes the data processing method of the battery liquid-cooled panel in embodiment 1.
Example 5
According to an embodiment of the present invention, there is also provided a processor for executing a program, wherein the program executes the data processing method of the battery liquid cooling board in embodiment 1 when the program is executed by the processor.
Example 6
According to an embodiment of the invention, a vehicle is further provided, and the vehicle is used for executing the data processing method of the liquid cooling plate of the battery in the embodiment 1.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.
Claims (10)
1. A data processing method of a battery liquid cold plate is characterized by comprising the following steps:
acquiring a reference convection heat transfer coefficient to be adjusted by a battery liquid cooling plate under the current working condition;
inputting the reference convective heat transfer coefficient into a regression model for parameter matching, and determining a reference liquid parameter of the liquid in the battery liquid cold plate, which is matched with the reference convective heat transfer coefficient, wherein the regression model is at least used for representing a mapping relation between the reference convective heat transfer coefficient and the reference liquid parameter, and the reference liquid parameter comprises a reference flow and a reference temperature of the liquid;
adjusting the original convective heat transfer coefficient of the battery fluid cold plate to the reference convective heat transfer coefficient based on the reference fluid parameter.
2. The method of claim 1, further comprising:
adjusting liquid parameters of the liquid based on a liquid cooling plate test system, and determining multiple groups of liquid parameters, wherein the liquid cooling plate test system at least comprises a flowmeter subsystem and a temperature sensor subsystem, the flowmeter subsystem is used for testing the liquid flow of the liquid, and the temperature sensor subsystem is used for testing the liquid temperature of the liquid;
generating the regression model based on the plurality of sets of liquid parameters.
3. The method of claim 2, wherein generating the regression model based on the plurality of sets of liquid parameters comprises:
determining a convective heat transfer coefficient corresponding to each group of liquid parameters in the multiple groups of liquid parameters based on a liquid cooling plate convective heat transfer coefficient calculation model, wherein the liquid cooling plate convective heat transfer coefficient calculation model is obtained by calculating attribute parameters of the liquid cooling plate, and the attribute parameters at least comprise a contact area between the liquid cooling plate and the liquid and a heat conductivity coefficient of the liquid cooling plate;
and generating the regression model based on a plurality of groups of mapping relations between the liquid parameters and the convective heat transfer coefficients.
4. The method of claim 1, further comprising:
acquiring heat production power of the battery liquid cooling plate under the current working condition;
determining the reference liquid parameter based on the heat generation power and the reference convective heat transfer coefficient.
5. The method of claim 4, wherein the reference liquid parameter is determined based on the heat-generating power and the reference convective heat transfer coefficient, the method further comprising:
inputting the heat generation power and the reference convective heat transfer coefficient into a heat generation power calculation model for calculation to obtain the reference temperature;
determining the reference flow rate of the battery liquid cooling plate at the reference temperature based on the mapping relationship.
6. The method of claim 2, wherein the liquid cold plate test system further comprises:
the constant-temperature water tank is used for adjusting the temperature of the liquid;
the water pump is used for adjusting the liquid flow;
and the constant temperature and humidity environment bin is used for adjusting the environment temperature and the environment humidity of the liquid cooling plate test system.
7. A data processing apparatus for a liquid-cooled plate of a battery, comprising:
the acquisition unit is used for acquiring a reference convective heat transfer coefficient to which the battery liquid cooling plate is to be adjusted under the current working condition;
the determining unit is configured to input the reference convective heat transfer coefficient into a regression model for parameter matching, and determine a reference fluid parameter of the fluid in the battery fluid-cooled plate, where the reference convective heat transfer coefficient is matched with the reference convective heat transfer coefficient, the regression model is at least configured to represent a mapping relationship between the reference convective heat transfer coefficient and the reference fluid parameter, and the reference fluid parameter is used to represent a reference flow rate and a reference temperature of the fluid;
and the adjusting unit is used for adjusting the original convection heat transfer coefficient of the battery liquid cooling plate to the reference convection heat transfer coefficient based on the reference liquid parameter.
8. A computer-readable storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of any one of claims 1-6.
9. A processor, characterized in that the processor is configured to run a program, wherein the program, when executed by the processor, performs the method of any one of claims 1 to 6.
10. A vehicle for carrying out the data processing method of the battery liquid cold plate according to any one of claims 1 to 6.
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| CN117454601A (en) * | 2023-10-09 | 2024-01-26 | 中汽研汽车检验中心(广州)有限公司 | Method for determining parameters of cooling water pump of thermal management system, electronic equipment and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117454601A (en) * | 2023-10-09 | 2024-01-26 | 中汽研汽车检验中心(广州)有限公司 | Method for determining parameters of cooling water pump of thermal management system, electronic equipment and medium |
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