Heat exchange coefficient acquisition method and device, medium and electronic equipment

Abstract

The heat exchange coefficient acquisition method, the heat exchange coefficient acquisition device, the medium and the electronic equipment provided in the application, by acquiring battery data and position data in the battery containing device, acquiring operation data of the refrigeration device, generating a wind speed field model based on the operation data, generating a spatial structure model of the battery containing device based on the battery data and the position data, and acquiring the heat exchange coefficient of the battery in the battery containing device based on the wind speed field model and the spatial structure model. Wherein, the application improves the accuracy of the battery heat exchange coefficient, considers the influence of the actual industrial environment on the heat exchange coefficient, so that the heat exchange system acquisition method of the application is suitable for the actual industrial environment and has practical application value.

Description

Technical Field

[0001] This application relates to the field of batteries, and in particular to methods, apparatus, media and electronic equipment for obtaining heat transfer coefficients. Background Technology

[0002] Currently, energy storage power stations use a large number of batteries, necessitating the management and recording of battery temperatures to ensure long-term safe operation. This temperature management and recording process involves calculating the battery's heat transfer coefficient, thus requiring the acquisition of this coefficient for effective temperature management and recording.

[0003] In existing technologies, the heat transfer coefficient is treated as a fixed value without considering the impact of the actual industrial environment on the heat transfer coefficient. This results in low accuracy of the battery heat transfer coefficient, which in turn prevents accurate calculation and prediction for battery thermal management in actual industrial environments, and also prevents accurate management and recording of battery temperature. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this application is to provide a method, apparatus, medium and electronic equipment for obtaining heat transfer coefficient, so as to solve the problem of low accuracy of battery heat transfer coefficient in the prior art.

[0005] To achieve the above and other related objectives, a first aspect of this application provides a method for obtaining a heat transfer coefficient, the method comprising:

[0006] Acquire battery data and location data within the battery housing;

[0007] Obtain operating data of the refrigeration unit;

[0008] A wind speed field model is generated based on the aforementioned operational data;

[0009] A spatial structure model of the battery housing device is generated based on the battery data and the location data.

[0010] Based on the wind speed field model and the spatial structure model, the heat transfer coefficient of the battery in the battery housing is obtained.

[0011] Optionally, obtaining the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model includes:

[0012] Based on the wind speed field model and the spatial structure model, the flow field and temperature field on the battery surface are obtained;

[0013] Based on the wind speed threshold and the flow field, a first battery region and a second battery region are obtained. The first battery region is the wind speed region in the battery that is higher than the wind speed threshold, and the second battery region is the wind speed region in the battery that is lower than the wind speed threshold.

[0014] Based on the first battery region, the second battery region, and the temperature field, the heat transfer coefficients of different regions of the battery are obtained.

[0015] Optionally, obtaining the flow field and temperature field on the battery surface based on the wind speed field model and the spatial structure model includes:

[0016] Based on the wind speed field model and the spatial structure model, a combined model of the wind speed field model and the spatial structure model is obtained;

[0017] The combined model is meshed, and the flow field and temperature field on the battery surface are obtained based on the meshing results.

[0018] Optionally, obtaining the heat transfer coefficients of different regions of the battery in the battery housing based on the first battery region, the second battery region, and the temperature field includes:

[0019] Based on the shape of the battery, determine the characteristic length of the battery;

[0020] Based on the operating data of the first battery region, the operating data of the second battery region, and the characteristic length of the battery, the Reynolds number of different regions of the battery is obtained;

[0021] The Prandtl number of the battery is obtained based on the temperature field.

[0022] Based on the Reynolds number and Prandtl number of different regions of the battery, the Nusselt coefficients of different regions of the battery are obtained;

[0023] The heat transfer coefficients of different regions of the battery are obtained based on the Nusselt coefficients of different regions of the battery, the characteristic length of the battery, and the temperature field.

[0024] Optionally, determining the characteristic length of the battery based on its shape includes any of the following:

[0025] If the battery is cylindrical, the characteristic length of the battery is determined to be the diameter of the battery;

[0026] If the battery is square in shape, its characteristic length is determined to be the thickness of the battery.

[0027] Optionally, the method further includes: obtaining the heat transfer capacity of the battery based on the heat transfer coefficient of different regions of the battery.

[0028] Optionally, obtaining the heat transfer capacity of the battery based on the heat transfer coefficient of different regions of the battery includes:

[0029] Obtain the first lumped model of the battery;

[0030] Based on the first lumped model and the heat transfer coefficients of different regions of the battery, a second lumped model is obtained;

[0031] The heat exchange of the battery is obtained based on the second lumped model.

[0032] A second aspect of this application provides a heat transfer coefficient acquisition device, comprising:

[0033] The first data acquisition module is used to acquire battery data and position data in the battery housing device;

[0034] The second data acquisition module is used to acquire the operating data of the refrigeration unit;

[0035] The first model generation module is used to generate a wind speed field model based on the running data;

[0036] The second model generation module is used to generate a spatial structure model of the battery housing device based on the battery data and the location data.

[0037] The heat transfer coefficient acquisition module is used to acquire the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model.

[0038] A third aspect of this application provides a computer-readable storage medium that, when executed by a processor, implements the heat transfer coefficient acquisition method described in any of the first aspects of this application.

[0039] The fourth aspect of this application provides an electronic device, the electronic device comprising: a memory storing a computer program; and a processor communicatively connected to the memory, which executes the heat transfer coefficient acquisition method according to any one of the first aspects of this application when the computer program is invoked.

[0040] As described above, the heat transfer coefficient acquisition method, heat transfer coefficient acquisition device, medium, and electronic equipment described in this application have the following beneficial effects:

[0041] The heat transfer coefficient acquisition method, apparatus, medium, and electronic device provided in this application acquire battery data and location data in a battery housing; acquire operating data of a refrigeration device; generate a wind speed field model based on the operating data; generate a spatial structure model of the battery housing based on the battery data and location data; and acquire the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model. Therefore, this application, by introducing a wind speed field model generated from the operating data of the refrigeration device on top of the spatial structure model of the battery housing, considers the wind speed around the battery, thus making the heat transfer coefficient of the battery obtained by this application more accurate and improving the precision of the battery heat transfer coefficient. Furthermore, the battery heat transfer coefficient obtained by this application based on the spatial structure model and the wind speed field model considers the influence of the actual industrial environment on the heat transfer coefficient, thus making the heat transfer coefficient acquisition method of this application applicable to actual industrial environments and possessing practical application value. Attached Figure Description

[0042] Figure 1 The diagram shows a flowchart of the method for obtaining the heat transfer coefficient in an embodiment of this application.

[0043] Figure 2 The diagram shows a flowchart illustrating the method for obtaining the heat transfer coefficient of a battery in a battery housing in an embodiment of this application.

[0044] Figure 3 The diagram shows a flowchart illustrating the method for obtaining the flow field and temperature field of the battery surface in an embodiment of this application.

[0045] Figure 4 The diagram shows a flowchart illustrating the method for obtaining the heat transfer coefficient of different regions of a battery in an embodiment of this application.

[0046] Figure 5 The diagram shows a flowchart illustrating the method for obtaining heat exchange of a battery in an embodiment of this application.

[0047] Figure 6 The diagram shown is a schematic representation of the heat transfer coefficient acquisition device in an embodiment of this application.

[0048] Figure 7 The diagram shown is a structural schematic of an electronic device in an embodiment of this application. Detailed Implementation

[0049] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0050] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0051] In one embodiment of the present invention, the method for obtaining the heat transfer coefficient may include:

[0052] S11, acquire battery data and position data in the battery housing.

[0053] In one embodiment of this application, the battery housing device can be a battery box. Also, in an embodiment of this application, when the battery housing device is a battery box, it may include a heat dissipation channel.

[0054] Furthermore, in one embodiment of this application, the aforementioned battery data may include battery size and battery shape. In one embodiment of this application, the aforementioned location data may include the location of the heat dissipation channel and the location of the battery.

[0055] It should be noted that, in one embodiment of the application, no specific restrictions are placed on the size, shape, or structure of the battery housing device, and a suitable battery housing device can be selected according to the actual scenario.

[0056] S12, acquire the operating data of the refrigeration unit.

[0057] In one embodiment of this application, the aforementioned refrigeration device may be an air conditioner.

[0058] Furthermore, in one embodiment of this application, the operating data may include: the cold air flow rate, cold air density, cold air temperature, and cold air viscosity coefficient output by the refrigeration device.

[0059] S13 generates a wind speed field model based on operational data.

[0060] In one embodiment of this application, the method for generating a wind speed field model based on operational data may include the following steps:

[0061] Step 1: Obtain the three-dimensional spatial information of the space where the refrigeration device is located;

[0062] Step 2: Generate a wind speed field model based on three-dimensional spatial information and operational data.

[0063] In one embodiment of this application, the operating data can be operating data from multiple locations within the space where the refrigeration device is located.

[0064] Furthermore, in one embodiment of this application, a wind speed field model can be generated using commonly used modeling software, which will not be elaborated further here.

[0065] S14, Generate a spatial structure model of the battery housing based on battery data and location data.

[0066] In one embodiment of this application, the spatial structure model can be a three-dimensional model of the battery housing device.

[0067] Furthermore, by establishing a spatial structure model of the battery housing device, this embodiment can easily use a variety of more efficient simulation methods to simulate the spatial structure model, thereby reducing simulation time.

[0068] S15, based on the wind speed field model and spatial structure model, obtains the heat transfer coefficient of the battery in the battery housing device.

[0069] In one embodiment of this application, the method for obtaining the heat transfer coefficient of the battery in the battery housing may include the following steps:

[0070] Step 1: Based on the wind speed field model and spatial structure model, obtain the flow field and temperature field on the surface of the battery in the battery housing device;

[0071] Step 2: Obtain the heat transfer coefficient of the battery in the battery housing based on the flow field and temperature field.

[0072] Furthermore, in one embodiment of this application, in a real industrial environment, the wind speed around the battery affects the battery's heat dissipation, and thus also affects the battery's heat transfer coefficient. This application introduces a wind speed field model generated based on the operating data of the refrigeration device into the spatial structure model of the battery housing, thereby making the obtained battery heat transfer coefficient more accurate.

[0073] As described above, the heat transfer coefficient acquisition method in this embodiment includes: acquiring battery data and location data in the battery housing; acquiring operating data of the refrigeration device; generating a wind speed field model based on the operating data; generating a spatial structure model of the battery housing based on the battery data and location data; and acquiring the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model. Therefore, this application, by introducing a wind speed field model generated from the operating data of the refrigeration device on top of the spatial structure model of the battery housing, considers the wind speed around the battery, thereby making the heat transfer coefficient of the battery obtained by this application more accurate and improving the accuracy of the battery heat transfer coefficient. Furthermore, the battery heat transfer coefficient obtained by this application based on the spatial structure model and the wind speed field model considers the influence of the actual industrial environment on the heat transfer coefficient, thus making the heat transfer coefficient acquisition method of this application applicable to actual industrial environments and possessing practical application value.

[0074] Please see Figure 2 In one embodiment of the present invention, the method for obtaining the heat transfer coefficient of the battery in the battery housing may include the following steps:

[0075] S21, based on the wind speed field model and the spatial structure model, obtains the flow field and temperature field on the battery surface.

[0076] S22, based on wind speed threshold and flow field, obtain the first battery region and the second battery region.

[0077] In one embodiment of this application, the first battery region is a wind speed region within the battery that is above a wind speed threshold, and the second battery region is a wind speed region within the battery that is below a wind speed threshold. The wind speed threshold can be flexibly set according to the actual environment, and this embodiment does not impose specific limitations on it.

[0078] In one embodiment of this application, the method for obtaining the first battery region and the second battery region may include: processing the flow field using a solver based on a wind speed threshold to obtain the first battery region and the second battery region.

[0079] Furthermore, in one embodiment of this application, the solver can be commonly used fluid dynamics software, which will not be described in detail here.

[0080] S23, based on the first battery region, the second battery region, and the temperature field, obtains the heat transfer coefficients of different regions of the battery.

[0081] In one embodiment of this application, because the wind speeds in the first battery region and the second battery region are different, the heat transfer coefficients of the first battery region and the second battery region are also different. The heat transfer coefficients of different regions of the battery can be considered as the heat transfer coefficients of the first battery region and the second battery region.

[0082] Furthermore, in one embodiment of this application, the method for obtaining the heat transfer coefficient further includes: obtaining the heat transfer capacity of the battery based on the heat transfer coefficient of different regions of the battery.

[0083] As described above, the method for obtaining the heat transfer coefficient of a battery in a battery housing in this embodiment may include: obtaining the flow field and temperature field of the battery surface based on a wind speed field model and a spatial structure model; obtaining a first battery region and a second battery region based on a wind speed threshold and the flow field; and obtaining the heat transfer coefficient of different regions of the battery based on the first battery region, the second battery region, and the temperature field. Dividing the battery region using a wind speed threshold makes the obtained heat transfer coefficient more accurate, thus providing more precise calculations and predictions for battery thermal management.

[0084] Please see Figure 3 In one embodiment of this application, the method for obtaining the flow field and temperature field of the battery surface may include the following steps:

[0085] S31, based on the wind speed field model and the spatial structure model, obtain a combined model of the wind speed field model and the spatial structure model.

[0086] In one embodiment of this application, the combination of models can be achieved using commonly used industrial software, and this embodiment will not be described in detail here.

[0087] S32 performs mesh processing on the combined model and obtains the flow field and temperature field based on the mesh processing results.

[0088] In one embodiment of this application, one way to perform mesh processing on the combined model is to divide the combined model into meshes using fluid dynamics software to obtain the mesh processing results.

[0089] As described above, the method for obtaining the flow field and temperature field on the battery surface in this embodiment includes: obtaining a combined model of the wind speed field model and the spatial structure model based on the wind speed field model and the spatial structure model; performing mesh processing on the combined model; and obtaining the flow field and temperature field based on the mesh processing results. By using the relatively mature mesh method, the combined model can be processed quickly, thereby improving the efficiency of obtaining the flow field and temperature field.

[0090] Please see Figure 4In one embodiment of this application, the method for obtaining the heat transfer coefficient of different regions of the battery may include the following steps:

[0091] S41, Based on the shape of the battery, determine the characteristic length of the battery.

[0092] In one embodiment of this application, determining the characteristic length of the battery based on its shape may include any of the following:

[0093] If the battery is cylindrical, the characteristic length of the battery is determined to be the diameter of the battery;

[0094] If the battery is square in shape, its characteristic length is determined to be the thickness of the battery.

[0095] S42, based on the operating data of the first battery region, the operating data of the second battery region, and the characteristic length of the battery, obtain the Reynolds number of different regions of the battery.

[0096] In one embodiment of this application, the operating data may include: cold air velocity, cold air density, cold air temperature, and cold air viscosity coefficient.

[0097] Furthermore, in one embodiment of this application, the Reynolds number can be expressed by the following formula:

[0098]

[0099] Where v represents the cold air velocity, ρ represents the cold air density, μ represents the cold air viscosity coefficient, and d represents the characteristic length of the battery.

[0100] Furthermore, in one embodiment of this application, since the operating data of the first battery region and the operating data of the second battery region are not the same, the Reynolds numbers obtained by the first battery region and the second battery region are also different.

[0101] S43, the Prandtl number of the battery is obtained based on the temperature field.

[0102] In one embodiment of this application, the formula for Prandtl's number can be expressed as follows:

[0103]

[0104] Among them, c p λ represents the isobaric specific heat capacity, μ represents the dynamic viscosity coefficient, and λ represents the thermal conductivity coefficient. Furthermore, in one embodiment of this application, the values ​​of the isobaric specific heat capacity, dynamic viscosity coefficient, and thermal conductivity coefficient are related to the temperature field, and can be obtained from a table based on the temperature value; this embodiment will not elaborate further on these details.

[0105] In one embodiment of this application, the method for obtaining the Prandtl number of a battery may include: obtaining temperature data of a first battery region and temperature data of a second battery region based on a temperature field; and obtaining the Prandtl number of the first battery region and the second battery region based on the temperature data of the first battery region and the second battery region. In one embodiment of this application, the temperature data may include: isobaric specific heat capacity, dynamic viscosity coefficient, and thermal conductivity coefficient.

[0106] Furthermore, in another embodiment of this application, the method for obtaining the Prandtl number of the battery may include: obtaining temperature data of the battery based on a temperature field; and obtaining the Prandtl number of the battery based on the temperature data. In one embodiment of this application, the temperature values ​​at different locations on the battery surface are not the same, and the overall temperature value of the battery surface can be obtained through approximation, and the overall temperature data of the battery can be obtained based on the overall temperature value of the battery surface.

[0107] S44, based on the Reynolds number and Prandtl number of different regions of the battery, obtains the Nusselt coefficient of different regions of the battery.

[0108] In one embodiment of this application, the formula for the Nusselt coefficient can be expressed as follows:

[0109]

[0110] Where Re is the Reynolds number mentioned above, and pr is the Prandtl number mentioned above.

[0111] Furthermore, in one embodiment of this application, the Nusselt coefficient of the first battery region and the Nusselt coefficient of the second battery region can be obtained based on the Reynolds number and Prandtl number of the first battery region and the Reynolds number and Prandtl number of the second battery region.

[0112] S45, based on the Nusselt coefficient of different regions of the battery and the characteristic length of the battery, obtains the heat transfer coefficient of different regions of the battery.

[0113] In one embodiment of this application, the heat transfer coefficient can be expressed by the following formula:

[0114]

[0115] Where l is the characteristic length mentioned above, which will not be repeated here. k is the thermal conductivity of the static fluid, which is related to the temperature field and can be obtained from a table based on the temperature value. N u This refers to the Nusselt coefficient mentioned above.

[0116] Furthermore, in one embodiment of this application, the heat transfer coefficients of the first battery region and the second battery region can be obtained based on the Nusselt coefficient of the first battery region and the Nusselt coefficient of the second battery region.

[0117] Please see Figure 5 In one embodiment of this application, the method for obtaining the heat exchange of a battery may include the following steps:

[0118] S51, obtain the first lumped model of the battery.

[0119] In one embodiment of this application, the first lumped model is expressed by the following formula:

[0120]

[0121] Where, ρ bat C represents battery density. ρ The battery's specific heat capacity is represented by T, the current battery temperature is represented by t, time is represented by Q, the heat generated by the battery at the current power is represented by h, and the first heat transfer coefficient is represented by h. amb This represents the temperature at the battery boundary. The temperature at the battery boundary is related to the temperature field, which will not be discussed further here.

[0122] S52, based on the first lumped model and the heat transfer coefficients of different regions of the battery, obtain the second lumped model.

[0123] In one embodiment of this application, the second lumped model is expressed by the following formula:

[0124]

[0125] Where, α bats1 α represents the specific surface area of ​​the first battery region. bats2 h represents the specific surface area of ​​the second battery region. s1 (v) represents the heat transfer coefficient of the first battery region, h s2 (v) represents the heat transfer coefficient of the second battery region.

[0126] S53, based on the second lumped model, obtains the heat exchange of the battery.

[0127] In one embodiment of this application, the method for obtaining the heat exchange of the battery may include the following steps:

[0128] Step S531: Obtain the first lumped model of the battery;

[0129] Step S532: Based on the first lumped model and the heat transfer coefficients of different regions of the battery, obtain the second lumped model;

[0130] In one embodiment of this application, by improving the first lumped model based on the heat transfer coefficient of different regions of the battery, a second lumped model that is more suitable for the actual physical scenario can be obtained, thereby obtaining a more accurate heat transfer.

[0131] In one embodiment of this application, the second lumped model can also serve as a new boundary condition for the heat conduction equation, thus having wider applicability.

[0132] Step S533: Based on the second lumped model, obtain the heat exchange of the battery.

[0133] In one embodiment of this application, a heat transfer coefficient acquisition device 600 is provided. Specifically, please refer to... Figure 6 The heat transfer coefficient acquisition device 600 includes:

[0134] The first data acquisition module 610 is used to acquire battery data and position data in the battery housing device.

[0135] The second data acquisition module 620 is used to acquire the operating data of the refrigeration unit.

[0136] The first model generation module 630 is used to generate a wind speed field model based on the running data.

[0137] The second model generation module 640 is used to generate a spatial structure model of the battery housing based on battery data and location data.

[0138] The heat transfer coefficient acquisition module 650 is used to obtain the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model.

[0139] The heat transfer coefficient acquisition device in this embodiment includes: acquiring battery data and location data in the battery housing; acquiring operating data of the refrigeration device; generating a wind speed field model based on the operating data; generating a spatial structure model of the battery housing based on the battery data and location data; and acquiring the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model. Therefore, this application, by introducing a wind speed field model generated from the operating data of the refrigeration device on top of the spatial structure model of the battery housing, considers the wind speed around the battery, thereby making the heat transfer coefficient of the battery obtained by this application more accurate and improving the precision of the battery heat transfer coefficient. Furthermore, the battery heat transfer coefficient obtained by this application based on the spatial structure model and the wind speed field model considers the influence of the actual industrial environment on the heat transfer coefficient, thus making the heat transfer coefficient acquisition method of this application applicable to actual industrial environments and possessing practical application value.

[0140] Based on the above description of the heat transfer coefficient acquisition device, this application also provides a computer-readable storage medium having a computer program stored thereon. When this computer program is executed by a processor, it implements... Figure 1 The method for obtaining the heat transfer coefficient is shown.

[0141] Based on the above description of the method for obtaining the heat transfer coefficient, this application also provides an electronic device. Please refer to... Figure 7 In one embodiment of this application, the electronic device 700 includes a memory 710 storing a computer program; and a processor 720, communicatively connected to the memory 710, which executes the computer program when invoked. Figure 1 The method for obtaining the heat transfer coefficient is shown.

[0142] The scope of protection of the heat transfer coefficient acquisition method of this application is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting or replacing steps in the prior art based on the principle of this application is included within the scope of protection of this application.

[0143] In summary, the heat transfer coefficient acquisition method, device, medium, and electronic equipment of this application are used to improve the accuracy of battery heat transfer coefficient acquisition. Therefore, this application effectively overcomes the various shortcomings of the prior art and has high industrial applicability.

[0144] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for obtaining heat transfer coefficient, characterized in that, The method for obtaining the heat transfer coefficient includes: Acquire battery data and location data within the battery housing; Obtain operating data of the refrigeration unit; A wind speed field model is generated based on the aforementioned operational data; A spatial structure model of the battery housing device is generated based on the battery data and the location data. Based on the wind speed field model and the spatial structure model, the heat transfer coefficient of the battery in the battery housing is obtained, including: Based on the wind speed field model and the spatial structure model, the flow field and temperature field on the battery surface are obtained; Based on the wind speed threshold and the flow field, a first battery region and a second battery region are obtained. The first battery region is the wind speed region in the battery that is higher than the wind speed threshold, and the second battery region is the wind speed region in the battery that is lower than the wind speed threshold. Based on the first battery region, the second battery region, and the temperature field, the heat transfer coefficients of different regions of the battery in the battery housing device are obtained.

2. The method as described in claim 1, characterized in that, The process of obtaining the flow field and temperature field on the battery surface based on the wind speed field model and the spatial structure model includes: Based on the wind speed field model and the spatial structure model, a combined model of the wind speed field model and the spatial structure model is obtained; The combined model is meshed, and the flow field and temperature field on the battery surface are obtained based on the meshing results.

3. The method as described in claim 1, characterized in that, The first battery region, The second battery region and the temperature field are used to obtain the heat transfer coefficients of different regions of the battery in the battery housing, including: Based on the shape of the battery, determine the characteristic length of the battery; Based on the operating data of the first battery region, the operating data of the second battery region, and the characteristic length of the battery, the Reynolds number of different regions of the battery is obtained; Based on the temperature field, the Prandtl number of the battery is obtained; Based on the Reynolds number and Prandtl number of different regions of the battery, the Nusselt coefficients of different regions of the battery are obtained; The heat transfer coefficients of different regions of the battery are obtained based on the Nusselt coefficients of different regions of the battery, the characteristic length of the battery, and the temperature field.

4. The method as described in claim 3, characterized in that, The determination of the characteristic length of the battery based on its shape includes any one of the following: If the battery is cylindrical, the characteristic length of the battery is determined to be the diameter of the battery; If the battery is square in shape, its characteristic length is determined to be the thickness of the battery.

5. The method as described in claim 1, characterized in that, The method further includes: obtaining the heat transfer capacity of the battery based on the heat transfer coefficient of different regions of the battery.

6. The method as described in claim 5, characterized in that, The step of obtaining the heat transfer capacity of the battery based on the heat transfer coefficient of different regions of the battery includes: Obtain the first lumped model of the battery; Based on the first lumped model and the heat transfer coefficients of different regions of the battery, a second lumped model is obtained; The heat exchange of the battery is obtained based on the second lumped model.

7. A heat transfer coefficient acquisition device, characterized in that, The heat transfer coefficient acquisition device includes: The first data acquisition module is used to acquire battery data and position data in the battery housing device; The second data acquisition module is used to acquire the operating data of the refrigeration unit; The first model generation module is used to generate a wind speed field model based on the running data; The second model generation module is used to generate a spatial structure model of the battery housing device based on the battery data and the location data. The heat transfer coefficient acquisition module is used to acquire the heat transfer coefficient of the battery in the battery housing based on the wind speed field model and the spatial structure model. The heat transfer coefficient acquisition module is also used to acquire the flow field and temperature field on the battery surface based on the wind speed field model and the spatial structure model. Based on the wind speed threshold and the flow field, a first battery region and a second battery region are obtained. The first battery region is the wind speed region in the battery that is higher than the wind speed threshold, and the second battery region is the wind speed region in the battery that is lower than the wind speed threshold. Based on the first battery region, the second battery region, and the temperature field, the heat transfer coefficients of different regions of the battery in the battery housing device are obtained.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the heat transfer coefficient acquisition method according to any one of claims 1-6.

9. An electronic device, characterized in that, The electronic device includes: A memory that stores a computer program; The processor, which is communicatively connected to the memory, executes the heat transfer coefficient acquisition method according to any one of claims 1-6 when calling the computer program.

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