Liquid cooling unit type selection method and device and computer program product

Abstract

The invention discloses a liquid cooling unit model selection method and device and a computer program product, and belongs to the technical field of refrigeration. The method comprises the following steps: acquiring the battery cell total heating power P1, the external environment heat transfer and exchange power P3, the solar radiation heat power P4 and the battery cell temperature rise absorption heat power P5 of the energy storage system, and the heating power P7 and the mass flow Mv3 of the liquid cooling unit; the total heat power P6 is obtained according to the battery cell total heating power P1, the external environment heat transfer and exchange power P3, the solar radiation heat power P4 and the battery cell temperature rise absorption heat power P5; and determining the type selection of the liquid cooling unit according to the total heat power P6, the heating power P7 and the mass flow Mv3. The device comprises a data acquisition module, a calculation module and a determination module. According to the technical scheme, the precise refrigeration requirement of the energy storage system can be obtained, and the model selection accuracy and the energy utilization rate of the liquid cooling unit are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration, and particularly relates to a method and device for selecting a liquid cooling unit and a computer program product. Background Art

[0002] In the design and development of the thermal management system of an energy storage system, a matching liquid cooling unit needs to be selected. In the early stage of design, due to the lack of relevant test data, the selection of the liquid cooling unit can only be carried out based on theoretical calculations.

[0003] In the selection, particular attention is paid to whether the cooling capacity of the liquid cooling unit meets the refrigeration requirements. The conventional selection method only selects based on the average heat generation of the battery cells. Since this selection method only considers the heat generation of the battery cells, there is a large difference between the calculated cooling capacity of the liquid cooling unit and the actual refrigeration requirements, making it difficult to meet the actual needs.

[0004] Therefore, a new selection method is needed to meet the development requirements of the thermal management system of the energy storage system. Summary of the Invention

[0005] To solve the problems existing in the prior art, on the one hand, the present invention provides a method for selecting a liquid cooling unit, which is applied to an energy storage system and includes:

[0006] Obtain the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, the heating power P7 of the liquid cooling unit, and the mass flow threshold Mv3 of the energy storage system; obtain the total heat power P6 based on the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells; determine the selection of the liquid cooling unit based on the total heat power P6, the heating power P7, and the mass flow threshold Mv3.

[0007] On the other hand, the present invention provides a device for selecting a liquid cooling unit, which includes:

[0008] A data acquisition module for obtaining the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, the heating power P7 of the liquid cooling unit, and the mass flow threshold Mv3 of the energy storage system; a calculation module for obtaining the total heat power P6 based on the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells; a determination module for determining the selection of the liquid cooling unit based on the total heat power P6, the heating power P7, and the mass flow threshold Mv3.

[0009] In another aspect of the present invention, there is provided an electronic device, which includes: a processor and a memory for storing executable instructions of the processor; wherein, the processor is configured to execute the above-mentioned method for selecting a liquid cooling unit.

[0010] In yet another aspect of the present invention, there is provided a computer-readable storage medium, in which at least one instruction, at least one segment of program, a code set or an instruction set is stored, and the at least one instruction, at least one segment of program, the code set or the instruction set is loaded and executed by a processor to implement the above-mentioned method for selecting a liquid cooling unit.

[0011] In still another aspect of the present invention, there is provided a computer program product including instructions or programs, and when the computer program product is executed by a computer, the above-mentioned method for selecting a liquid cooling unit is implemented.

[0012] The beneficial effects brought by the technical solution provided by the embodiments of the present invention are as follows:

[0013] By obtaining the total heat generation power P1 of the battery cells of the energy storage system, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, the heating power P7 of the liquid cooling unit and the mass flow threshold Mv3; obtaining the total heat power P6 based on the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4 and the heat absorption power P5 for the temperature rise of the battery cells; determining the selection of the liquid cooling unit according to the total heat power P6, the heating power P7 and the mass flow threshold Mv3, so as to be able to obtain the accurate cooling demand of the energy storage system, and improve the accuracy of the selection of the liquid cooling unit and the energy utilization rate. Description of the Drawings

[0014] Figure 1 is a flowchart of the method for selecting a liquid cooling unit provided in Embodiment 1 of the present invention;

[0015] Figure 2 is a schematic structural diagram of the device for selecting a liquid cooling unit provided in Embodiment 2 of the present invention. Detailed Embodiments

[0016] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, 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. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0017] The terms used in the embodiments of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "a", "the", and "said" used in the embodiments of the present invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0018] It should be understood that the term "and / or" used herein is merely a description of the associated relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0019] Depending on the context, the word "if" as used herein can be interpreted as "when", "while", "in response to determining", or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if monitoring (stated condition or event)" can be interpreted as "when determined", "in response to determining", "when detecting (stated condition or event)", or "in response to detecting (stated condition or event)".

[0020] See Figure 1 , embodiments of the present invention provide a method for selecting a liquid cooling unit, which includes the following steps:

[0021] Step S101: Obtain the total heat generation power P1 of the battery cells of the energy storage system, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, as well as the heating power P7 of the liquid cooling unit and the mass flow threshold Mv3.

[0022] The liquid cooling unit mentioned in the embodiments of the present application is applied to an energy storage system. The energy storage system includes multiple battery cells (or battery cell monomers). The multiple battery cells are arranged in a box. One side of the box is the external environment, and the other is inside the box. The box is generally a cuboid. In applications, some energy storage systems are container-type energy storage systems. During the charging and discharging process of the battery cells, heat is generated, and the box has a relatively enclosed space. Therefore, it is necessary to set a liquid cooling unit inside the box to reduce the temperature of the battery cells and the temperature inside the box. The conventional method for selecting a liquid cooling unit only considers the total heat generation power P1 of the battery cells. The cooling power of the liquid cooling unit not less than P1 can meet the requirements. Due to only considering the heat generation power of the battery cells, the conventional selection method has a large error. The present application comprehensively considers various influencing factors to meet the cooling, heating, and mass flow requirements of the energy storage system and complete the selection of the liquid cooling unit. Specifically: First, obtain the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, as well as the heating power P7 of the liquid cooling unit and the mass flow threshold Mv3.

[0023] Regarding the total heat generation power P1 of the battery cell, it is the heat generation power brought by the self-heat generation of the battery cell, and is specifically calculated by the following formula:

[0024] P1 = P2 × n

[0025] It is calculated that in the formula, P2 is the heat generation power of a single battery cell (W); n is the number of battery cells in the energy storage system.

[0026] In a certain embodiment, the heat generation power P2 of a single battery cell can be calculated according to the formula P2 = I 2 R, where I is the current (A) during the charge and discharge of the battery cell, and this current is affected by the charge and discharge rate. That is, at different charge and discharge rates, the corresponding currents are different. During application, the maximum current value under the corresponding working conditions can be selected to meet the cooling requirements of the energy storage system, and R is the resistance of the battery cell (Ω).

[0027] Regarding the heat transfer and heat exchange power P3 from the external environment, it is specifically calculated by the following formula:

[0028] P3 = K × S × ΔT1

[0029] It is calculated that in the formula, K is the heat transfer coefficient (W / (m 2 ·K)); S is the sum of the surface areas of the box except the bottom surface (m 2 ); ΔT1 is the temperature difference between the inside and outside of the box (K).

[0030] In a certain embodiment, the maximum value of the temperature difference ΔT1 between the inside and outside of the box is determined according to the highest temperature and the lowest temperature in the external environment of the box, so as to determine the maximum value of the heat conduction power P3 from the external environment.

[0031] The heat transfer coefficient K is specifically calculated by the following formula:

[0032]

[0033] It is calculated that in the formula, K1 and K2 are the convective heat transfer coefficients outside and inside the box respectively (W / (m 2 ·K)); d1, d2, ……, dz represent the thicknesses of each layer of the intermediate sandwich material of the box, z represents that there are z layers of the intermediate sandwich material of the box, dz represents the thickness of the z-th layer of the intermediate sandwich material of the box; λ1, λ2, ……, λz, etc. represent the thermal conductivities corresponding to each layer of the intermediate sandwich material of the box, and λz represents the thermal conductivity of the z-th layer of the intermediate sandwich material of the box.

[0034] In a certain embodiment, since the convective heat transfer coefficient K1 outside the box is affected by the local altitude and average wind speed where the energy storage system is located, by the following formula

[0035] K1 = Nu × k / L

[0036] It is calculated that Nu is the Nusselt Number, which is dimensionless and used to represent the enhancement effect of surface heat transfer caused by fluid motion; k is the thermal conductivity (W / (m·K)), which is the thermal conductivity of the air fluid; L is the characteristic length (m), which is the length of the box along the direction of air fluid flow.

[0037] The Nusselt number Nu can be calculated by the formula

[0038] Nu = C × Re m × Pr o

[0039] It is calculated that in the formula, Re is the Reynolds number, which is a dimensionless number used to characterize the ratio of inertial force to viscous force, so as to distinguish laminar flow and turbulent flow; Pr is the Prandtl number, which is dimensionless and reflects the ratio of fluid momentum diffusion to heat diffusion ability; C is a constant, which depends on the geometric shape of the box and is usually determined by experimental data; m is the exponent of the Reynolds number Re, which depends on the flow type (such as laminar flow or turbulent flow) and the geometric shape of the box; o is the exponent of the Prandtl number Pr, which depends on the specific physical situation. By adjusting the parameters C, m, and o, the convective heat transfer effect can be estimated for different types of flow (laminar flow or turbulent flow), different box geometric structures, and different fluid properties.

[0040] The Reynolds number Re and the Prandtl number Pr can be calculated by the following formulas:

[0041]

[0042] Among them, ρ is the density of the air fluid (kg / m 3 ); v is the wind speed (m / s); L is the aforementioned characteristic length (m); μ is the dynamic viscosity (kg / (m×s)); Cp is the specific heat capacity of air (J / (kg×K)); k is the aforementioned thermal conductivity of air (W / (m·K)).

[0043] In another embodiment, when the value of P3 is less than a preset threshold compared with the value of P6, K1 can be determined by an empirical value according to the wind speed. For example, based on the following list of empirical values of heat transfer coefficients provided in the Air Conditioning Design Manual in the "GB 50176-93 Code for Thermal Design of Civil Buildings":

[0044] Table 1 Heat transfer coefficient α of the outer surface of the enclosure structure w [W / (m 2 ·°C)]

[0045] Average outdoor wind speed (m / s) 1.0 1.5 2.0 2.5 3.0 3.5 4.0 <![CDATA[Heat transfer coefficient α w > 14.0 17.5 19.8 22.1 24.4 26.1 27.9

[0046] The convective heat transfer coefficient K1 outside the box can be determined according to the above list. For example: K1 = α w .

[0047] The convective heat transfer coefficient K2 inside the box is an estimated value. Generally, natural convection can be considered inside the box, and the value ranges from 5 to 10.

[0048] Regarding the solar radiation heat power P4, it is specifically calculated by the following formula

[0049]

[0050] where K and K1 are the heat transfer coefficient and the convective heat transfer coefficient outside the box (W / (m 2 ·K)); α is the heat absorption rate of the box, which is a dimensionless coefficient and is affected by the spraying material on the box surface. Different heat absorption rates can be determined according to different spraying materials; G is the solar incident radiation received per unit area of the box (W / (m 2 )); S1 is the sum of the surface areas of one top surface and two adjacent side surfaces in the circumferential direction of the box (m 2 ).

[0051] The solar radiation G received per unit area of the box is affected by the local altitude and geographical location and can be calculated according to the formula

[0052]

[0053] where I0 is the solar constant (about 1367 w / m 2 ); H is the local altitude (km); a is the solar altitude angle; b and c are the local geographical latitude and the geographical latitude of the solar direct point respectively.

[0054] Regarding the heat power P5 absorbed by the temperature rise of the battery cells, it can be specifically calculated according to the following formula

[0055]

[0056] where C is the specific heat capacity of a single battery cell (J / (kg×K)); m is the weight of a single battery cell (kg); t is the charge and discharge time of a single battery cell (s); ΔT2 is the temperature change of a single battery cell (K); n is the number of battery cells. In a certain embodiment, according to the actual charge and discharge duration and the number of charge and discharge cycles of the battery cells, combined with the data of the battery cell charge and discharge simulation, the average charge and discharge time t of a single battery cell and the corresponding average temperature change ΔT2 of a single battery cell are obtained, and the heat power P5 absorbed by the temperature rise of the battery cells is calculated according to the above formula.

[0057] It should be noted that the temperature change ΔT2 of a single battery cell meets the requirement of the highest temperature inside the box of the energy storage system, that is, the temperature of the battery cell does not exceed the upper limit of the temperature inside the box. For example, if the highest temperature inside the box is T1, the average temperature of the battery cell when it is not working initially is T1, and the difference between the average temperature and the highest temperature T1 of the battery cell when it is working is ΔT, then the average temperature change ΔT2 of a single battery cell does not exceed T1 - T2 - ΔT.

[0058] Since the energy storage system operates under different environmental conditions, and the battery cells in the energy storage system need to work within a certain temperature range, when the energy storage system is in a cold environment, it is necessary to increase the temperature inside the box to ensure that the battery cells can work properly, that is, there are certain requirements for the heating power of the liquid cooling unit. The heating power is calculated according to the following formula:

[0059]

[0060] In the formula, P7 is the heating power, K is the heat transfer coefficient, S is the sum of the surface areas of the box of the energy storage system except the bottom surface, T1 is the target temperature inside the box, T2 is the external environmental temperature outside the box; ΔT3 is the difference between the target temperature T1 inside the box and the external environmental temperature T2 outside the box. Preferably, the heating power of the liquid cooling unit is the same as the heat transfer and heat exchange power P3 of the external environment.

[0061] The energy storage system includes a battery pack, the battery pack contains multiple battery cells, and the battery pack is arranged in the energy storage system in the form of a battery box. In applications, some battery boxes exist in the form of plug-in boxes. When the battery box is configured with a liquid cooling unit, it can be called a liquid-cooled battery box. In order to make the energy storage system work properly and improve safety, at this time, there are certain requirements for the mass flow rate of the liquid cooling unit. Specifically, the mass flow rate threshold Mv3 is calculated according to the following formula:

[0062]

[0063] In the formula, Mv3 is the mass flow rate threshold; Mv2 is the corrected mass flow rate threshold of the battery box of the energy storage system; y is the mass flow rate error of the battery box; Mv1 is the mass flow rate threshold of the battery box; P2 is the heating power of a single battery cell; C is the specific heat capacity of the coolant in the liquid cooling unit; ΔT4 is the temperature difference between the inlet and outlet of the battery box; n2 is the number of battery boxes.

[0064] Step S102: Obtain the total heat power P6 based on the total heating power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells.

[0065] Based on the total heating power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells obtained in step S101, calculate the total heat power P6 according to the following formula:

[0066] P6 = P1 + P3 + P4 - P5.

[0067] Step S103: Determine the type selection of the liquid cooling unit according to the total heat power P6, the heating power P7, and the mass flow threshold Mv3.

[0068] According to the total heat power P6, the heating power P7, and the mass flow threshold Mv3 determined in step S102, the type selection of the liquid cooling unit can be determined, that is, under the conditions that the refrigerating capacity of the liquid cooling unit is not less than the total heat power P6, the heating capacity of the liquid cooling unit is not less than the heating power P7, and the mass flow of the liquid cooling unit's chassis is not less than the mass flow threshold, determine the type selection of the liquid cooling unit.

[0069] In the embodiment of the present invention, by obtaining the total heat generation power P1 of the battery cells in the energy storage system, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells; obtaining the total heat power P6 according to the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells; determining the type selection of the liquid cooling unit according to the total heat power P6, so as to be able to obtain the accurate refrigeration demand of the energy storage system, and improve the accuracy of the type selection of the liquid cooling unit and the energy utilization rate.

[0070] This method comprehensively considers the influence of external radiation of the energy storage system and environmental factors such as the local altitude and wind speed where it is located. In the case of a high-temperature external environment, the refrigerating capacity of the liquid cooling unit is more matched with the actual demand and more in line with the operating conditions; in the case of a low-temperature external environment, only the influence of the external environmental temperature is calculated to ensure that the energy storage system operates under appropriate temperature conditions, make full use of the heating capacity of the unit, without energy waste, and maximize the economic benefits; at the same time, this method also considers the requirements for the mass flow of the inlet and outlet water of the unit's chassis to further improve the accuracy of the type selection of the liquid cooling unit and improve the performance of the unit.

[0071] See Figure 2 , an embodiment of the present invention provides a device for selecting the type of a liquid cooling unit, and the device includes: a data acquisition module 201, a calculation module 202, and a determination module 203.

[0072] Among them, the data acquisition module 201 is used to acquire the total heat generation power P1 of the battery cells in the energy storage system, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, the heating power P7, and the mass flow threshold Mv3; the calculation module 202 is used to obtain the total heat power P6 according to the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells; the determination module 203 is used to determine the type selection of the liquid cooling unit according to the total heat power P6, the heating power P7, and the mass flow threshold Mv3.

[0073] Optionally, the calculation module 202 is configured to calculate the total thermal power P6 according to the following formula: P6 = P1 + P3 + P4 - P5.

[0074] Optionally, the data acquisition module 201 includes: a total cell heating power calculation unit, which is specifically configured to calculate the total cell heating power P1 according to the following formula: P1 = P2 × n, where P2 is the heating power of a single cell; n is the number of cells in the energy storage system.

[0075] Optionally, the data acquisition module 201 includes: an external environment heat transfer and heat exchange power calculation unit, which is specifically configured to calculate the external environment heat transfer and heat exchange power P3 according to the following formula: P3 = K × S × ΔT1, where K is the heat transfer coefficient; S is the sum of the surface areas of the box except the bottom surface; ΔT1 is the temperature difference between the inside and outside of the box; the heat transfer coefficient K is calculated by the following formula: where K1 and K2 are the external convective heat transfer coefficient of the box and the internal convective heat transfer coefficient of the box, respectively; d1, d2,..., dz represent the thicknesses of the layers of the intermediate sandwich material of the box, z represents the number of layers of the intermediate sandwich material of the box, and dz represents the thickness of the z-th layer of the intermediate sandwich material of the box; λ1, λ2,..., λz, etc. represent the thermal conductivities corresponding to the layers of the intermediate sandwich material of the box, and λz represents the thermal conductivity of the z-th layer of the intermediate sandwich material of the box; where K1 is calculated according to the following formula: K1 = Nu × k / L, where Nu is the Nusselt number; k is the thermal conductivity of the air fluid; L is the length of the box along the direction of air fluid flow; or P3 is determined according to an empirical value.

[0076] Optionally, the data acquisition module 201 includes: a solar radiation heat power calculation unit, which is specifically configured to calculate the solar radiation heat power P4 according to the following formula: where K and K1 are the heat transfer coefficient and the external convective heat transfer coefficient of the box, respectively; α is the heat absorption rate of the box; G is the solar radiation received per unit area of the box; S1 is the sum of the surface areas of one top surface and two adjacent side surfaces in the circumferential direction of the box.

[0077] Optionally, the data acquisition module 201 includes: a cell temperature rise absorption heat power calculation unit, which is specifically configured to calculate the cell temperature rise absorption heat power P5 according to the following formula: where C is the specific heat capacity of a single cell; m is the weight of a single cell; t is the charge and discharge time of a single cell; ΔT2 is the temperature change of a single cell; n is the number of cells.

[0078] Optionally, the data acquisition module 201 includes: a heating power P7 and a mass flow threshold Mv3 calculation unit, which is specifically configured to calculate the heating power according to the following formula: Wherein, P7 is the heating power, K is the heat transfer coefficient, S is the sum of the surface areas of the storage system's box body except the bottom surface, T1 is the target temperature inside the box, and T2 is the ambient temperature outside the box; ΔT3 is the difference between the target temperature T1 inside the box and the ambient temperature T2 outside the box. Preferably, the heating power P7 of the liquid cooling unit is the same as the heat transfer and heat exchange power P3 with the external environment. The mass flow threshold Mv3 is calculated according to the following formula: Wherein, Mv3 is the mass flow threshold; Mv2 is the corrected mass flow threshold of the battery box of the energy storage system; y is the mass flow error of the battery box; Mv1 is the mass flow threshold of the battery box; P2 is the heat generation power of a single battery cell; C is the specific heat capacity of the coolant in the liquid cooling unit; ΔT4 is the temperature difference between the inlet and outlet of the battery box; and n2 is the number of battery boxes.

[0079] Optionally, the determining module 203 is specifically configured to: determine the selection of the liquid cooling unit under the conditions that the cooling capacity of the candidate liquid cooling unit is not less than the total heat power P6, the heating capacity is not less than the heating power P7, and the mass flow is not less than the mass flow threshold Mv3.

[0080] It should be noted that: when selecting the liquid cooling unit provided in the above embodiment, only the above-mentioned division of each functional module is used for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the liquid cooling unit selection device provided in the above embodiment and the embodiment of the liquid cooling unit selection method belong to the same concept. For the specific implementation process, please refer to the method embodiment, which will not be elaborated here.

[0081] An embodiment of the present invention provides an electronic device, which includes: a memory and a processor. The processor is connected to the memory and is configured to execute the above-mentioned liquid cooling unit selection method based on the instructions stored in the memory. The number of processors can be one or more, and the processor can be a single-core or multi-core processor. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of, for example, read-only memory (ROM) or flash memory (flash RAM). The memory includes at least one storage chip. The memory can be an example of the following computer-readable medium.

[0082] An embodiment of the present invention provides a computer-readable storage medium, on which at least one instruction, at least one segment of program, a code set or an instruction set is stored, and the at least one instruction, at least one segment of program, code set or instruction set is loaded and executed by a processor to implement the above-mentioned liquid cooling unit selection method. The computer-readable storage medium includes: permanent and non-permanent, removable and non-removable media can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of the computer's storage medium include, but are not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information accessible by a computing device.

[0083] An embodiment of the present invention further provides a computer program product, including a computer program, which implements the steps of any of the methods described in the foregoing embodiments of the liquid cooling unit selection method when executed by a processor.

[0084] As is known by common technical knowledge, the present invention can be implemented by other embodiments that do not depart from its spiritual essence or essential features. Therefore, the above-disclosed embodiments are illustrative in all aspects and not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are encompassed by the present invention.

Claims

1. A method for selecting a liquid cooling unit, the liquid cooling unit being applied to an energy storage system, characterized in that, The method includes: Obtaining the total heat generation power P1 of the battery cells of the energy storage system, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 for the temperature rise of the battery cells, and the heating power P7 and the mass flow threshold Mv3 of the liquid cooling unit; Obtaining the total heat power P6 based on the total heat generation power P1 of the battery cells, the heat conduction power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells; Determining the type selection of the liquid cooling unit based on the total heat power P6, the heating power P7, and the mass flow threshold Mv3.

2. The method according to claim 1, characterized in that The obtaining the total heat power P6 based on the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 for the temperature rise of the battery cells includes: Calculating the total heat power P6 according to the following formula: P6 = P1 + P3 + P4 - P5.

3. The method according to claim 1 or 2, characterized in that, The obtaining the total heat generation power P1 of the battery cells of the energy storage system includes: Calculating the total heat generation power P1 of the battery cells according to the following formula: P1 = P2 × n In the formula, P2 is the heat generation power of a single battery cell; n is the number of battery cells of the energy storage system.

4. The method according to claim 1 or 2, characterized in that, The obtaining the heat transfer and heat exchange power P3 of the external environment of the energy storage system includes: Calculating the heat transfer and heat exchange power P3 of the external environment according to the following formula: P3 = K × S × ΔT1 In the formula, K is the heat transfer coefficient; S is the sum of the surface areas of the box of the energy storage system except the bottom surface; ΔT1 is the temperature difference inside and outside the box; The heat transfer coefficient K is calculated by the following formula: Where K1 and K2 are the convective heat transfer coefficients outside and inside the box respectively; z represents that there are z layers of the intermediate sandwich material of the box, dz represents the thickness of the z-th layer of the intermediate sandwich material of the box; λz represents the thermal conductivity of the z-th layer of the intermediate sandwich material of the box; In the formula, K1 is calculated according to the following formula: K1 = Nu × k / L In the formula, Nu is the Nusselt number; k is the thermal conductivity of the air fluid; L is the length of the box along the direction of the air fluid flow.

5. The method according to claim 4, characterized in that, The obtaining the solar radiation heat power P4 of the energy storage system includes: Calculating the solar radiation heat power P4 according to the following formula: In the formula, α is the heat absorption rate of the box; G is the solar radiation received per unit area of the box; S1 is the sum of the surface areas of the top surface of the box and two adjacent side surfaces in the circumferential direction.

6. The method according to claim 1 or 2, characterized in that, The obtaining the heat absorption power P5 for the temperature rise of the battery cells of the energy storage system includes: Calculating the heat absorption power P5 for the temperature rise of the battery cells according to the following formula: In the formula, C is the specific heat capacity of a single battery cell; m is the weight of a single battery cell; t is the charge and discharge time of a single battery cell; ΔT2 is the temperature change of a single battery cell; n is the number of battery cells of the energy storage system.

7. The method according to claim 1, characterized in that The obtaining the heating power P7 and the mass flow threshold Mv3 of the liquid cooling unit includes: The heating power P7 of the liquid cooling unit is the same as the heat transfer and heat exchange power P3 of the external environment; Calculating the mass flow threshold Mv3 according to the following formula: Wherein, Mv2 is the corrected mass flow threshold of the battery box of the energy storage system; y is the mass flow error of the battery box; Mv1 is the mass flow threshold of the battery box; P2 is the heat generation power of a single battery cell; C is the specific heat capacity of the coolant in the liquid cooling unit; ΔT4 is the temperature difference between the inlet and outlet of the battery box; n2 is the number of the battery boxes.

8. The method according to claim 1, characterized in that Determining the type selection of the liquid cooling unit according to the total heat power P6, the heating power P7, and the mass flow threshold Mv3 includes: Determining the type selection of the liquid cooling unit under the condition that the cooling capacity of the liquid cooling unit to be selected is not less than the total heat power P6, the heating capacity is not less than the heating power P7, and the mass flow is not less than the mass flow threshold Mv3.

9. A liquid cooling unit selection device, characterized in that, The device includes: A data acquisition module, configured to acquire the total heat generation power P1 of the battery cells of the energy storage system, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, the heat absorption power P5 of the battery cell temperature rise, as well as the heating power P7 and the mass flow threshold Mv3 of the liquid cooling unit; A calculation module, configured to obtain the total heat power P6 according to the total heat generation power P1 of the battery cells, the heat transfer and heat exchange power P3 of the external environment, the solar radiation heat power P4, and the heat absorption power P5 of the battery cell temperature rise; A determination module, configured to determine the type selection of the liquid cooling unit according to the total heat power P6, the heating power P7, and the mass flow threshold Mv3.

10. A computer program product comprising instructions, characterized in that, When the computer program product runs on a computer, the method according to any one of claims 1-8 is executed by the computer.

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