Energy storage container system flow resistance simulation method and device

Abstract

The invention provides an energy storage container system flow resistance simulation method and device, and relates to the field of liquid cooling unit simulation and optimization. The method comprises the steps that in response to simulation operation for the liquid cooling unit, operation parameters corresponding to multiple elements in a target liquid cooling unit are obtained, and the multiple elements comprise pump equipment, a heat source and heat exchange equipment; model construction operation is conducted on the multiple elements to obtain simulation models corresponding to all the elements, the simulation model corresponding to the pump equipment is a solid model, and the simulation model corresponding to the heat exchange equipment is a fluid model; and according to the simulation model corresponding to each element, performing simulation operation on the cooling performance of the liquid cooling unit through the operation parameters. According to the invention, comprehensive performance evaluation and optimization are carried out on the liquid cooling unit so as to ensure that the heat dissipation management of the heat management system of the liquid-cooled energy storage container achieves an optimal effect, and the overall operation efficiency and safety of the heat management system of the liquid-cooled energy storage container are improved.

Description

Technical Field

[0001] The present application relates to the field of simulation and optimization of liquid cooling units, and in particular to a method and device for simulating flow resistance of an energy storage container system. Background Art

[0002] In modern industrial systems, liquid cooling units, as the core technology for efficient heat dissipation, are widely used in data centers, industrial equipment, electric vehicles, and other fields. Liquid cooling units effectively transfer the heat generated during the operation of equipment through liquid media, thereby improving the reliability and operating efficiency of the equipment, especially in high-power equipment and high-density integrated systems.

[0003] In the design and development of the pipeline of the thermal management system of the liquid-cooled energy storage container, the selection and matching of the liquid cooling unit is particularly important. The electronic equipment in the energy storage container will generate a lot of heat during the charging and discharging process. If the heat is not dissipated in time and effectively, it may cause the equipment to overheat, performance degradation, and even safety hazards.

[0004] In order to ensure that the liquid cooling unit can work seamlessly with the liquid-cooled energy storage container thermal management system and achieve the best heat dissipation effect, a detailed simulation analysis of the cooling performance of the liquid cooling unit must be performed. Through simulation, the operating state of the liquid cooling unit under different load conditions can be simulated, its thermal performance can be predicted, and the pipeline design can be optimized, the appropriate cooling liquid type and flow parameters can be selected, and energy consumption can be effectively reduced.

[0005] Therefore, there is an urgent need for a flow resistance simulation method and device for energy storage container systems to simulate, so as to conduct a comprehensive performance evaluation and optimization of the liquid cooling unit, to ensure that the heat dissipation management of the liquid-cooled energy storage container thermal management system achieves the best effect and improves its overall operating efficiency and safety. Summary of the invention

[0006] The present application provides a flow resistance simulation method and device for an energy storage container system, so as to conduct a comprehensive performance evaluation and optimization of the liquid cooling unit, so as to ensure that the heat dissipation management of the liquid-cooled energy storage container thermal management system achieves the best effect and improves its overall operating efficiency and safety.

[0007] In a first aspect of the present application, a method for simulating flow resistance of an energy storage container system is provided, the method comprising: in response to a simulation operation on a liquid cooling unit, obtaining operating parameters corresponding to a plurality of components in a target liquid cooling unit, the plurality of components comprising a pump device, a heat source, and a heat exchange device; performing a model building operation on the plurality of components to obtain a simulation model corresponding to each component, wherein the simulation model corresponding to the pump device is a solid model, and the simulation model corresponding to the heat exchange device is a fluid model; according to the simulation model corresponding to each component, simulating the cooling performance of the liquid cooling unit through the operating parameters.

[0008] Optionally, when the element is a heat exchange device, the cooling performance of the liquid cooling unit is simulated through operating parameters according to the simulation model corresponding to each element, specifically including: obtaining a first target model corresponding to the heat exchange device; obtaining preset volume flow pressure drop data, flow data and size data in the operating parameters; according to the first target model, performing flow resistance simulation operation on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, flow data and size data in the operating parameters.

[0009] Optionally, the cooling performance of the liquid cooling unit is simulated by flow resistance according to preset volume flow pressure drop data, flow data and size data in the operating parameters, specifically including: calculating the first flow resistance coefficient of the heat exchange device according to the following formula:

[0010]

[0011] Among them, k 1 is the first flow resistance coefficient, ΔP is the preset volume flow pressure drop data, m is the flow data, S and L are the size data; a resistance calculation formula is constructed according to the first flow resistance coefficient, and the flow resistance of the heat exchange equipment is simulated according to the resistance calculation formula to perform flow resistance simulation operation on the cooling performance of the liquid cooling unit.

[0012] Optionally, before calculating the first flow resistance coefficient of the heat exchange device, the method further includes: obtaining a calibration viscosity and a calibration density, the calibration viscosity and the calibration density being preset viscosity and density, and correcting the first flow resistance coefficient according to the calibration viscosity and the calibration density to obtain a corrected second flow resistance coefficient; and obtaining the second flow resistance coefficient by the following formula:

[0013]

[0014] Among them, k 2 is the second flow resistance coefficient, μ c is the calibration viscosity, ρ cal To calibrate density, V is the fluid velocity in the heat exchange device.

[0015] Optionally, when the component is a pump device, the cooling performance of the liquid cooling unit is simulated through operating parameters according to the simulation model corresponding to each component: a second target model corresponding to the pump device is obtained; preset volume flow pressure drop data, actual density data and reference density data in the operating parameters are obtained; according to the second target model, a pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, actual density data and reference density data in the operating parameters.

[0016] Optionally, the pressure reduction simulation operation includes a volume flow simulation operation and a mass flow simulation operation. When the pressure reduction simulation operation is a volume flow simulation operation, according to the second target model, the pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through preset volume flow pressure drop data, actual density data, and reference density data in the operating parameters, specifically including: performing a volume flow simulation operation on the cooling performance of the liquid cooling unit through the following formula:

[0017]

[0018] Among them, ΔP corrected is the actual volume flow pressure drop data for simulation, ΔP is the preset volume flow pressure drop data, ρ is the actual density data, and ρ ref is the reference density data.

[0019] Optionally, when the pressure reduction simulation operation is a mass flow simulation operation, according to the second target model, a pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through preset volume flow pressure drop data, actual density data, and reference density data in the operating parameters, specifically including: performing a mass flow simulation operation on the cooling performance of the liquid cooling unit through the following formula:

[0020]

[0021] in, To simulate the actual mass flow pressure drop data, is the preset mass flow pressure drop data, ρ is the actual density data, ρ ref is the reference density data.

[0022] In a second aspect of the present application, a flow resistance simulation device for an energy storage container system is provided, the device comprising an acquisition module and a processing module, wherein:

[0023] The acquisition module is used to obtain operating parameters corresponding to multiple components in the target liquid cooling unit in response to the simulation operation on the liquid cooling unit, and the multiple components include a pump device, a heat source and a heat exchange device.

[0024] The processing module is used to perform model building operations on multiple components to obtain simulation models corresponding to each component, wherein the simulation model corresponding to the pump equipment is a solid model, and the simulation model corresponding to the heat exchange equipment is a fluid model; according to the simulation model corresponding to each component, the cooling performance of the liquid cooling unit is simulated through operating parameters.

[0025] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods described above.

[0026] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to perform any of the above methods.

[0027] The technical solution provided in the embodiments of the present application has at least the following technical effects or advantages:

[0028] 1. In response to the simulation operation on the liquid cooling unit, the operating parameters corresponding to the multiple components in the target liquid cooling unit are obtained, and then the model building operation is performed on the multiple components to obtain the simulation models corresponding to each of the components, and according to the simulation models corresponding to each of the components, the cooling performance of the liquid cooling unit is simulated by the operating parameters, so as to perform a comprehensive performance evaluation and optimization of the liquid cooling unit to ensure that the heat dissipation management of the liquid-cooled energy storage container thermal management system achieves the best effect and improves its overall operation efficiency and safety.

[0029] 2. The flow resistance of the heat exchange device is simulated by calculating the resistance calculation formula to perform flow resistance simulation operation on the cooling performance of the liquid cooling unit, and the first flow resistance coefficient is corrected to the second flow resistance coefficient by calibrating the viscosity and the density, thereby improving the accuracy of the flow resistance simulation operation, ensuring that the cooling performance of the liquid cooling unit in actual operation can meet the design requirements, optimize the heat dissipation effect, and reduce energy consumption.

[0030] 3. Perform a pressure reduction simulation operation on the cooling performance of the liquid cooling unit according to the reference density data, and choose whether to perform a volume flow simulation operation or a mass flow simulation operation according to the actual situation, thereby optimizing the overall simulation efficiency of the liquid cooling unit and improving the flexibility and versatility of the simulation operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a flow resistance simulation method of an energy storage container system provided in an embodiment of the present application;

[0032] Figure 2 This is a schematic diagram of the structure of a liquid cooling unit provided in an embodiment of the present application;

[0033] Figure 3 It is a module schematic diagram of a flow resistance simulation device for an energy storage container system provided in an embodiment of the present application;

[0034] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0035] Explanation of the reference numerals: 31, acquisition module; 32, processing module; 401, processor; 402, communication bus; 403, user interface; 404, network interface; 405, memory. DETAILED DESCRIPTION

[0036] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0037] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of the listed items.

[0038] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0039] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0040] In modern industrial systems, liquid cooling units, as the core technology for efficient heat dissipation, are widely used in data centers, industrial equipment, electric vehicles, and other fields. Liquid cooling units effectively transfer the heat generated during the operation of equipment through liquid media, thereby improving the reliability and operating efficiency of the equipment, especially in high-power equipment and high-density integrated systems.

[0041] In the design and development of the pipeline of the thermal management system of the liquid-cooled energy storage container, the selection and matching of the liquid cooling unit is particularly important. The electronic equipment in the energy storage container will generate a lot of heat during the charging and discharging process. If the heat is not dissipated in time and effectively, it may cause the equipment to overheat, performance degradation, and even safety hazards.

[0042] In order to ensure that the liquid cooling unit can work seamlessly with the liquid-cooled energy storage container thermal management system and achieve the best heat dissipation effect, a detailed simulation analysis of the cooling performance of the liquid cooling unit must be performed. Through simulation, the operating state of the liquid cooling unit under different load conditions can be simulated, its thermal performance can be predicted, and the pipeline design can be optimized, the appropriate cooling liquid type and flow parameters can be selected, and energy consumption can be effectively reduced.

[0043] Therefore, there is an urgent need for a flow resistance simulation method and device for energy storage container systems to simulate, so as to conduct a comprehensive performance evaluation and optimization of the liquid cooling unit, to ensure that the heat dissipation management of the liquid-cooled energy storage container thermal management system achieves the best effect and improves its overall operating efficiency and safety.

[0044] Please refer to Figure 1 , which shows a flow chart of a flow resistance simulation method for an energy storage container system provided in an embodiment of the present application. The method is applied to a server. The flow chart mainly includes the following steps: S101 to S103.

[0045] Step S101, in response to a simulation operation on a liquid cooling unit, obtaining operating parameters corresponding to a plurality of components in a target liquid cooling unit, wherein the plurality of components include a pump device, a heat source, and a heat exchange device.

[0046] Specifically, in the design and development of the pipeline of the thermal management system of a liquid-cooled energy storage container, it is necessary to select a matching liquid cooling unit. Therefore, when selecting a liquid cooling unit, it is necessary to first simulate the liquid cooling unit so as to effectively evaluate the cooling performance of the liquid cooling unit. When the user performs a simulation operation on the liquid cooling unit, the operating parameters corresponding to each component in the target liquid cooling unit are automatically obtained, so as to simulate the cooling performance of the liquid cooling unit through the operating parameters corresponding to each component. The components in the liquid cooling unit include but are not limited to: pump equipment, heat source, and heat exchange equipment, etc., wherein the pump equipment can be a water pump, and the heat exchange equipment is a plate heat exchanger. The embodiments in this application do not limit the number of different types of components, and the number of components of each type is set according to the actual system design requirements, equipment heat dissipation requirements, and operating environment. Among them, the operating parameters include but are not limited to: preset volume flow pressure drop data, flow data, size data, preset volume flow pressure drop data, actual density data, reference density data, etc. By obtaining these operating parameters, it is possible to provide accurate input for subsequent simulation operations, so that the simulation of the liquid cooling unit can better simulate the working performance of each component during actual operation. It should be noted that the purpose of this application is to serve the selection of liquid cooling units. If the simulation of pipeline flow resistance is performed separately, the simulation value will be smaller than the actual value, and thus it cannot be matched with the selected liquid cooling unit. The two important components on the chilled water circulation side of the liquid cooling unit are the pump equipment and the heat exchange equipment. If the simulated pipeline flow resistance curve is added to the heat exchange equipment flow resistance curve and then matched with the pump equipment, the added value is too large and inconsistent with the actual situation. If these two elements are added to the simulation model, the simulation model will be more refined and the simulation value will be more credible.

[0047] Step S102 , performing a model building operation on a plurality of components to obtain a simulation model corresponding to each component, wherein the simulation model corresponding to the pump device is a solid model, and the simulation model corresponding to the heat exchange device is a fluid model.

[0048] Specifically, a model building operation is performed on each component in the liquid cooling unit, and the corresponding models of different components are all pre-set simulation models. A simulation model database can be established, and all preset simulation models can be saved in the simulation model database. The correspondence between different types of components and different types of simulation models can be constructed. After that, when performing a simulation operation, the simulation model of the target component can be directly obtained according to the correspondence. Among them, the simulation model corresponding to the pump equipment is a solid model, and the simulation model corresponding to the heat exchange equipment is a fluid model.

[0049] Step S103 , according to the simulation model corresponding to each component, the cooling performance of the liquid cooling unit is simulated by operating parameters.

[0050] Specifically, the simulation model is configured according to the position and connection relationship of each component. Please refer to Figure 2 , which shows a schematic diagram of the structure of a liquid cooling unit provided in an embodiment of the present application. The components in the liquid cooling unit include a water pump, an extension pipeline, a fluid boundary inlet, a water supply port, a water return port, a plate heat exchanger, a pipeline, and a liquid cooling plate. The simulation model is configured and connected according to the connection relationship in the figure. Through the multiple simulation models after connection, the overall cooling performance of the liquid cooling unit is simulated. The overall cooling performance of the liquid cooling unit is simulated by Founder operation, and whether the liquid cooling unit can stably cool down is judged according to the simulation data. If there is no abnormal data in the simulation data, it means that the liquid cooling unit can stably cool down. At this time, the liquid cooling unit can be matched with the liquid-cooled energy storage container thermal management system; if there is abnormal data in the simulation data, it means that the liquid cooling unit cannot stably cool down. At this time, relevant personnel can be notified to troubleshoot the problem. This application mainly proposes a simulation method, the purpose of which is to make the simulation parameter setting faster and more accurate, so as to improve the accuracy of the simulation model. Therefore, the identification of abnormal data and the troubleshooting of the liquid cooling unit are not specifically described.

[0051] In a possible implementation, step S103 further includes: when the element is a heat exchange device, according to the simulation model corresponding to each element, the cooling performance of the liquid cooling unit is simulated by the operating parameters, specifically including: obtaining a first target model corresponding to the heat exchange device; obtaining preset volume flow pressure drop data, flow data and size data in the operating parameters; according to the first target model, the cooling performance of the liquid cooling unit is simulated by the preset volume flow pressure drop data, flow data and size data in the operating parameters; and calculating the first flow resistance coefficient of the heat exchange device by the following formula:

[0052]

[0053] Among them, k 1 is the first flow resistance coefficient, ΔP is the preset volume flow pressure drop data, m is the flow data, S and L are the size data; a resistance calculation formula is constructed according to the first flow resistance coefficient, and the flow resistance of the heat exchange equipment is simulated according to the resistance calculation formula to perform flow resistance simulation operation on the cooling performance of the liquid cooling unit.

[0054] Specifically, when performing simulation operations, the simulation model corresponding to the heat exchange equipment needs to be changed to the first target model. The first target model is a porous medium model, and the preset volume flow pressure drop data, flow data and size data in the operating parameters are used; according to the first target model, the cooling performance of the liquid cooling unit is simulated by the preset volume flow pressure drop data, flow data and size data in the operating parameters. The first target model can perform flow resistance simulation operations on the cooling performance of the liquid cooling unit in a variety of ways, including but not limited to: Method 1, flow resistance simulation operations are performed by calculating porosity. Method 2, flow resistance simulation operations are performed by calculating the flow resistance coefficient. For Method 1, the porosity defines the volume component of the interconnected pores relative to the total medium volume:

[0055]

[0056] Where ε is the porosity, V pores is the pore volume of the porous medium, V total The total volume of the porous medium. The porosity is used for flow resistance simulation only when a pore size correlation is selected as the permeability type. For method 2, the first flow resistance coefficient of the heat exchange device is calculated by the following formula:

[0057]

[0058] Among them, k 1 is the first flow resistance coefficient, ΔP is the preset volume flow pressure drop data, m is the flow data, S and L are the size data; a resistance calculation formula is constructed according to the first flow resistance coefficient, and the flow resistance of the heat exchange equipment is simulated according to the resistance calculation formula to perform flow resistance simulation operation on the cooling performance of the liquid cooling unit. In addition, since k 1 The parameters of k are determined by a calibration fluid, which is a pre-built fluid used to calibrate and validate simulation models. The calibration fluid has known physical properties, so the k of the project fluid can be corrected by specifying the properties of this calibration fluid. 1 At this time, since the preset volume flow pressure drop data or the first flow resistance coefficient is usually proportional to the dynamic viscosity of the fluid, the first flow resistance coefficient can be corrected to the second flow resistance coefficient by specifying the calibration viscosity of the calibration fluid, and since the preset volume flow pressure drop data or the first flow resistance coefficient is usually proportional to the density of the fluid, the first flow resistance coefficient can be corrected to the second flow resistance coefficient by specifying the calibration density of the calibration fluid, that is, the second flow resistance coefficient is obtained by the following formula:

[0059]

[0060] Among them, k 2is the second flow resistance coefficient, μ c is the calibration viscosity, ρ cal is the calibration density, V is the fluid velocity in the heat exchange device, the calibration viscosity and calibration density are the preset viscosity and density, and then the cooling performance of the liquid cooling unit is simulated by the corrected second flow resistance coefficient. In addition, when the porous medium is composed of narrow and long channels, the fluid flow through a group of tightly combined and long-diameter thin tubes can be simulated to perform flow resistance simulation operations. By referring to the correlation of the pore size, the third flow resistance coefficient can be obtained as:

[0061]

[0062] Among them, k 3 is the third flow resistance coefficient, μ is the actual viscosity in the capillary, ρ is the actual density in the capillary, D is the pore size, is the porosity in the capillary tube, and 32 is an empirical constant. In addition, the third flow resistance coefficient can also be corrected to the fourth flow resistance coefficient by specifying the calibration density of this calibration fluid, that is, the fourth flow resistance coefficient is obtained by the following formula:

[0063]

[0064] Among them, k 4 is the fourth flow resistance coefficient, ρ cal To calibrate the density, the reference pore size correlation and Reynolds number k 4 Make the following changes to get:

[0065]

[0066] Where f(Re) is a function of the Reynolds number and satisfies:

[0067]

[0068] Among them, u i is the component of the fluid velocity in the porous medium in the penetration direction of the porous medium. When the porous medium is composed of narrow and long channels, the cooling performance of the liquid cooling unit is simulated by the fourth flow resistance coefficient.

[0069] In a possible implementation manner, step S103 further includes: obtaining a second target model corresponding to the pump device; obtaining preset volume flow pressure drop data, actual density data, and reference density data in the operating parameters; according to the second target model, performing a pressure reduction simulation operation on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, actual density data, and reference density data in the operating parameters; the pressure reduction simulation operation includes a volume flow simulation operation and a mass flow simulation operation. When the pressure reduction simulation operation is a volume flow simulation operation, the volume flow simulation operation is performed on the cooling performance of the liquid cooling unit through the following formula:

[0070]

[0071] Among them, ΔP corrected is the actual volume flow pressure drop data for simulation, ΔP is the preset volume flow pressure drop data, ρ is the actual density data, and ρ ref For reference density data, when the pressure reduction simulation operation is a mass flow simulation operation, the cooling performance of the liquid cooling unit is simulated by the following formula:

[0072]

[0073] in, To simulate the actual mass flow pressure drop data, is the preset mass flow pressure drop data, ρ is the actual density data, ρ ref is the reference density data.

[0074] Specifically, when performing simulation operations, the simulation model corresponding to the pump device needs to be changed to a second target model, which is a fan model. The second target model is a flow boundary condition, and the second target model can be formulated on a selected solid surface without specifying boundary conditions or calling in boundary adjustments or heat sources. The second target model is regarded as an ideal device, and a volume flow simulation operation or a mass flow simulation operation is performed based on the average pressure difference between the inlet and the outlet on the selected surface, that is, when the pressure reduction simulation operation is a volume flow simulation operation, the cooling performance of the liquid cooling unit is subjected to a pressure reduction simulation operation based on the preset volume flow pressure drop data, actual density data, and reference density data in the operating parameters according to the second target model, specifically including:

[0075] The cooling performance of the liquid cooling unit is simulated by volume flow rate using the following formula:

[0076]

[0077] Among them, ΔP corrected is the actual volume flow pressure drop data for simulation, ΔP is the preset volume flow pressure drop data, ρ is the actual density data, and ρ refis the reference density data; when the pressure reduction simulation operation is a mass flow simulation operation, according to the second target model, the pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, the actual density data and the reference density data in the operating parameters, specifically including:

[0078] The cooling performance of the liquid cooling unit is simulated by mass flow using the following formula:

[0079]

[0080] in, To simulate the actual mass flow pressure drop data, is the preset mass flow pressure drop data, ρ is the actual density data, ρ ref is the reference density data. In the conventional method, the simulation is performed by performing the pipeline flow resistance alone, which will make the simulation result smaller than the actual result. The simulation result is shown in Table 1.

[0081] [Table 1]

[0082]

[0083] In the simple addition selection simulation, the simulated pipeline flow resistance curve is added to the plate heat exchanger flow resistance curve and then to the water pump. At this time, the added value is too large, which will make the simulation result larger than the actual result. The simulation result is shown in Table 2.

[0084] [Table 2]

[0085]

[0086] The pipeline flow resistance obtained by simulation using the modeling method in this application is closer to the actual value, which is neither too large nor too small. The simulation results are shown in Table 3.

[0087] [Table 3]

[0088]

[0089] The present application adopts the above method, responds to the simulation operation on the liquid cooling unit, obtains the operating parameters corresponding to the multiple components in the target liquid cooling unit, and then performs a model building operation on the multiple components to obtain the simulation model corresponding to each component, and performs the simulation operation on the cooling performance of the liquid cooling unit through the operating parameters according to the simulation model corresponding to each component, thereby performing a comprehensive performance evaluation and optimization of the liquid cooling unit to ensure that the heat dissipation management of the liquid-cooled energy storage container thermal management system achieves the best effect and improves its overall operating efficiency and safety.

[0090] Please refer to Figure 3, which shows a module schematic diagram of a flow resistance simulation device for an energy storage container system provided in an embodiment of the present application, the device is a server, and the server includes an acquisition module 31 and a processing module 32, wherein,

[0091] The acquisition module 31 is used to obtain operating parameters corresponding to multiple components in the target liquid cooling unit in response to the simulation operation on the liquid cooling unit, and the multiple components include a pump device, a heat source and a heat exchange device.

[0092] The processing module 32 is used to perform model building operations on multiple components to obtain simulation models corresponding to each component, wherein the simulation model corresponding to the pump equipment is a solid model, and the simulation model corresponding to the heat exchange equipment is a fluid model; according to the simulation model corresponding to each component, the cooling performance of the liquid cooling unit is simulated through operating parameters.

[0093] In one possible implementation, the processing module 32 is used to simulate the cooling performance of the liquid cooling unit through operating parameters according to the simulation model corresponding to each component when the component is a heat exchange device, specifically including: obtaining a first target model corresponding to the heat exchange device; obtaining preset volume flow pressure drop data, flow data and size data in the operating parameters; according to the first target model, performing flow resistance simulation operations on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, flow data and size data in the operating parameters.

[0094] In a possible implementation, the processing module 32 is used to perform a flow resistance simulation operation on the cooling performance of the liquid cooling unit through preset volume flow pressure drop data, flow data, and size data in the operating parameters, specifically including: calculating a first flow resistance coefficient of the heat exchange device by the following formula:

[0095]

[0096] Among them, k 1 is the first flow resistance coefficient, ΔP is the preset volume flow pressure drop data, m is the flow data, S and L are the size data; a resistance calculation formula is constructed according to the first flow resistance coefficient, and the flow resistance of the heat exchange equipment is simulated according to the resistance calculation formula to perform flow resistance simulation operation on the cooling performance of the liquid cooling unit.

[0097] In a possible implementation, the processing module 32 is used for calculating the first flow resistance coefficient of the heat exchange device before the method further includes: obtaining a calibration viscosity and a calibration density, the calibration viscosity and the calibration density being preset viscosity and density, and correcting the first flow resistance coefficient according to the calibration viscosity and the calibration density to obtain a corrected second flow resistance coefficient; and obtaining the second flow resistance coefficient by the following formula:

[0098]

[0099] Among them, k 2 is the second flow resistance coefficient, μ c is the calibration viscosity, ρ cal To calibrate density, V is the fluid velocity in the heat exchange device.

[0100] In one possible implementation, the processing module 32 is used to simulate the cooling performance of the liquid cooling unit through operating parameters according to the simulation model corresponding to each component when the component is a pump device: obtain a second target model corresponding to the pump device; obtain preset volume flow pressure drop data, actual density data and reference density data in the operating parameters; according to the second target model, perform a pressure reduction simulation operation on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, actual density data and reference density data in the operating parameters.

[0101] In a possible implementation manner, the pressure reduction simulation operation for the processing module 32 includes a volume flow simulation operation and a mass flow simulation operation. When the pressure reduction simulation operation is a volume flow simulation operation, according to the second target model, the pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, the actual density data, and the reference density data in the operating parameters, specifically including: performing a volume flow simulation operation on the cooling performance of the liquid cooling unit through the following formula:

[0102]

[0103] Among them, ΔP corrected is the actual volume flow pressure drop data for simulation, ΔP is the preset volume flow pressure drop data, ρ is the actual density data, and ρ ref is the reference density data.

[0104] In a possible implementation manner, the processing module 32 is used to perform a pressure reduction simulation operation on the cooling performance of the liquid cooling unit according to the second target model by using the preset volume flow pressure drop data, the actual density data, and the reference density data in the operating parameters when the pressure reduction simulation operation is a mass flow simulation operation, specifically including: performing a mass flow simulation operation on the cooling performance of the liquid cooling unit according to the following formula:

[0105]

[0106] in, To simulate the actual mass flow pressure drop data, is the preset mass flow pressure drop data, ρ is the actual density data, ρ ref is the reference density data.

[0107] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, 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 device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0108] The present application also provides an electronic device. Figure 4 , Figure 4 4 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include: at least one processor 401, at least one communication bus 402, a user interface 403, at least one network interface 404, and a memory 405.

[0109] The communication bus 402 is used to realize the connection and communication between these components.

[0110] The user interface 403 may include a display screen (Display) and a camera (Camera), and the optional user interface 403 may also include a standard wired interface and a wireless interface.

[0111] The network interface 404 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0112] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 401 can integrate one or more combinations of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 401, and it can be implemented by a single chip.

[0113] Among them, the memory 405 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 405 includes a non-transitory computer-readable storage medium. The memory 405 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 405 may also be optionally at least one storage device located away from the aforementioned processor 401. Refer to Figure 3 , the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an energy storage container system flow resistance simulation application.

[0114] exist Figure 3In the electronic device shown, the user interface 403 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 401 can be used to call the energy storage container system flow resistance simulation application stored in the memory 405. When executed by one or more processors 401, the electronic device executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0115] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0116] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0118] The units described as separate elements may or may not be physically separated, and the elements shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0120] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0121] The above are only exemplary embodiments disclosed in this application, and the scope of the disclosure of this application cannot be limited by this. That is, any equivalent changes and modifications made according to the teachings disclosed in this application are still within the scope of the disclosure of this application. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other implementation schemes disclosed in this application.

[0122] This application is intended to cover any modifications, uses or adaptive changes disclosed in this application, which follow the general principles disclosed in this application and include common knowledge or customary technical means in the technical field not recorded in this application.

Claims

1. A flow resistance simulation method for an energy storage container system, characterized in that: The method comprises: In response to the simulation operation on the liquid cooling unit, the operating parameters corresponding to a plurality of components in the target liquid cooling unit are obtained, wherein the plurality of components include a pump device, a heat source, and a heat exchange device; Performing a model building operation on the plurality of elements to obtain a simulation model corresponding to each of the elements, wherein the simulation model corresponding to the pump device is a solid model, and the simulation model corresponding to the heat exchange device is a fluid model; According to the simulation model corresponding to each of the components, the simulation operation is performed on the cooling performance of the liquid cooling unit through the operating parameters.

2. The method according to claim 1, characterized in that When the element is the heat exchange device, the simulation operation of the cooling performance of the liquid cooling unit is performed by operating parameters according to the simulation model corresponding to each element, specifically including: Acquire a first target model corresponding to the heat exchange device; Obtaining preset volume flow pressure drop data, flow data and dimension data in the operating parameters; According to the first target model, a flow resistance simulation operation is performed on the cooling performance of the liquid cooling unit through the preset volume flow pressure reduction data, the flow data and the size data in the operating parameters.

3. The method according to claim 2, characterized in that The performing a flow resistance simulation operation on the cooling performance of the liquid cooling unit by using the preset volume flow pressure drop data, the flow data and the size data in the operating parameters specifically includes: The first flow resistance coefficient of the heat exchange device is calculated by the following formula: Among them, k1 is the first flow resistance coefficient, ΔP is the preset volume flow pressure drop data, m is the flow data, S and L are the size data; a resistance calculation formula is constructed according to the first flow resistance coefficient, and the flow resistance of the heat exchange equipment is simulated according to the resistance calculation formula to perform flow resistance simulation operation on the cooling performance of the liquid cooling unit.

4. The method according to claim 3, characterized in that Before calculating the first flow resistance coefficient of the heat exchange device, the method further includes: Acquire a calibration viscosity and a calibration density, wherein the calibration viscosity and the calibration density are preset viscosity and density, and correct the first flow resistance coefficient according to the calibration viscosity and the calibration density to obtain a corrected second flow resistance coefficient; The second flow resistance coefficient is obtained by the following formula: Wherein, k2 is the second flow resistance coefficient, μ c is the calibration viscosity, ρ cal is the calibration density, and V is the fluid velocity in the heat exchange device.

5. The method according to claim 1, characterized in that When the element is the pump device, the simulation operation is performed on the cooling performance of the liquid cooling unit by operating parameters according to the simulation model corresponding to each element: Acquire a second target model corresponding to the pump device; Acquiring preset volume flow pressure drop data, actual density data and reference density data in the operating parameters; According to the second target model, a pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, the actual density data and the reference density data in the operating parameters.

6. The method according to claim 5, characterized in that The pressure reduction simulation operation includes a volume flow simulation operation and a mass flow simulation operation. When the pressure reduction simulation operation is the volume flow simulation operation, the pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit according to the second target model through the preset volume flow pressure drop data, the actual density data and the reference density data in the operating parameters, specifically including: The volume flow simulation operation is performed on the cooling performance of the liquid cooling unit using the following formula: Among them, ΔP corrected is the actual volume flow pressure drop data for simulation, ΔP is the preset volume flow pressure drop data, ρ is the actual density data, and ρ ref is the reference density data.

7. The method according to claim 6, characterized in that When the pressure reduction simulation operation is the mass flow simulation operation, according to the second target model, the pressure reduction simulation operation is performed on the cooling performance of the liquid cooling unit through the preset volume flow pressure drop data, the actual density data and the reference density data in the operating parameters, specifically including: The mass flow simulation operation is performed on the cooling performance of the liquid cooling unit using the following formula: in, To simulate the actual mass flow pressure drop data, is the preset mass flow pressure drop data, ρ is the actual density data, ρ ref is the reference density data.

8. A flow resistance simulation device for an energy storage container system, characterized in that: The device comprises an acquisition module and a processing module, wherein: The acquisition module is used to obtain operating parameters corresponding to multiple components in the target liquid cooling unit in response to the simulation operation on the liquid cooling unit, wherein the multiple components include a pump device, a heat source, and a heat exchange device; The processing module is used to perform model building operations on the multiple elements to obtain simulation models corresponding to each of the elements, wherein the simulation model corresponding to the pump equipment is a solid model, and the simulation model corresponding to the heat exchange equipment is a fluid model; according to the simulation model corresponding to each of the elements, the cooling performance of the liquid cooling unit is simulated by operating parameters.

9. An electronic device, characterized in that: It includes a processor, a communication bus, a user interface, a network interface and a memory, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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