Liquid cooling system simulation analysis method, simulation analysis device and simulation analysis equipment

Abstract

The present application relates to a liquid cooling system simulation analysis method, simulation analysis device and simulation analysis equipment. The method includes: obtaining the target heat dissipation of each battery module when it is not cooled; obtaining the target flow rate of the coolant in each cooling branch according to the target heat dissipation of each battery module and the unit heat absorption of the coolant in the cooling branch; obtaining the target cross-sectional size of each cooling branch according to the branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch; the branch model is used to characterize the correspondence between the cross-sectional size of the cooling branch in the liquid cooling plate and the flow rate of the coolant in the cooling branch. The temperature uniformity of the battery modules in the energy storage system is ensured, and the performance of the energy storage system is improved. The cycle for confirming the parameters of the liquid cooling plate is short and the efficiency is high.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a liquid cooling system simulation analysis method, simulation analysis device and simulation analysis equipment. Background Art

[0002] The battery modules in the energy storage system generate heat during the charging and discharging process. The battery modules are cooled by the liquid cooling plate located below the battery modules. The typical design method of the liquid cooling plate includes: (1) designing the cold plate structure in 3D software; (2) importing the cold plate structure design into the finite element simulation software for flow field consistency optimization simulation; (3) performing 3D thermal simulation after flow channel optimization; (4) repeating steps (2) to (4) according to the results of the 3D thermal simulation until the thermal simulation results meet the requirements and the parameters of the liquid cooling plate that meet the requirements are obtained.

[0003] The above-mentioned design method of the liquid cooling plate requires multiple simulations, and the thermal simulation requires the establishment of a full simulation model. The energy equation, turbulence equation, mass conservation equation, etc. need to be considered during the calculation process, which makes the design cycle of the liquid cooling plate relatively long; and the calculation speed of the thermal simulation is several orders of magnitude slower than that of the flow field simulation, which reduces the efficiency of the liquid cooling plate design. Summary of the invention

[0004] Based on this, it is necessary to provide a liquid cooling system simulation analysis method, simulation analysis device and simulation analysis equipment to address the above technical problems, so as to shorten the design cycle of the liquid cooling plate and improve the design efficiency of the liquid cooling plate.

[0005] A liquid cooling system simulation analysis method is applied to an energy storage system, wherein the energy storage system includes a plurality of battery modules, and a liquid cooling plate in the liquid cooling system includes a plurality of cooling branches, and the plurality of cooling branches are arranged in a one-to-one correspondence with the plurality of battery modules; the simulation analysis method includes:

[0006] Obtaining the target heat dissipation of each battery module when it is not cooled;

[0007] Obtaining a target flow rate of the coolant in each cooling branch according to a target heat dissipation of each battery module and a unit heat absorption of the coolant in the cooling branch;

[0008] According to the branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch, the target cross-sectional size of each cooling branch is obtained; the branch model is used to characterize the correspondence between the cross-sectional size of the cooling branch in the liquid cooling plate and the flow rate of the coolant in the cooling branch.

[0009] In some embodiments, obtaining the target heat dissipation of each battery module when it is not cooled includes:

[0010] Measuring and obtaining the initial battery terminal temperature of each battery module when it is not cooled;

[0011] The target heat dissipation of each battery module is obtained according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module.

[0012] In some embodiments, obtaining the target heat dissipation of each battery module according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module includes:

[0013] Obtaining a preset battery mass and a preset battery specific heat capacity of a preset battery module in the battery module;

[0014] Obtaining a preset temperature change of the preset battery module according to the target battery terminal temperature and the initial battery terminal temperature of the preset battery module;

[0015] The target heat dissipation of the preset battery module is obtained according to the preset temperature change, the preset battery mass and the preset battery specific heat capacity.

[0016] In some embodiments, the plurality of cooling branches are connected in parallel, and before obtaining the target flow rate of the coolant in each cooling branch according to the target heat dissipation of each battery module and the unit heat absorption of the coolant in the cooling branch, the method further comprises:

[0017] Acquire the coolant specific heat capacity of the coolant, a first liquid temperature of a liquid inlet of the coolant flowing into the liquid cooling plate, and a second liquid temperature of a liquid outlet of the coolant flowing out of the liquid cooling plate;

[0018] The unit heat absorption amount is obtained according to the specific heat capacity of the coolant, the first liquid temperature and the second liquid temperature.

[0019] In some embodiments, the plurality of cooling branches are connected in series, and before obtaining the target flow rate of the coolant in each cooling branch according to the target heat dissipation of each battery module and the unit heat absorption of the coolant in the cooling branch, the method further comprises:

[0020] Acquire the coolant specific heat capacity of the coolant, a first liquid temperature of the coolant flowing into a liquid inlet of the liquid cooling plate, and a second liquid temperature of the coolant flowing out of a liquid outlet of the liquid cooling plate;

[0021] Obtaining a unit total heat absorption amount of the coolant according to the specific heat capacity of the coolant, the first liquid temperature, and the second liquid temperature;

[0022] The unit heat absorption is obtained according to the unit total heat absorption and the number of the cooling branches.

[0023] In some embodiments, obtaining a target cross-sectional size of each cooling branch according to the branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch includes:

[0024] According to the branch model and the preset cross-sectional dimensions of each cooling branch, a simulated flow rate of each cooling branch is obtained;

[0025] Establishing an evaluation function according to the target flow and the simulated flow corresponding to the cooling branch, wherein the evaluation function is used to characterize the deviation between the target flow and the simulated flow;

[0026] A preset cross-sectional size of each cooling branch that enables the evaluation function corresponding to each cooling branch to satisfy a preset condition is obtained as a target cross-sectional size of each cooling branch.

[0027] In some embodiments, the liquid cooling system simulation analysis method further includes:

[0028] A cold plate structural model of the liquid cooling plate is established according to the target cross-sectional dimensions of each of the cooling branches.

[0029] In some embodiments, the liquid cooling system simulation analysis method further includes:

[0030] Establishing a thermal simulation model of the energy storage system according to the target cross-sectional dimensions of each cooling branch and the energy storage model of the energy storage system;

[0031] A thermal simulation verification is performed on the energy storage system according to the thermal simulation model.

[0032] A liquid cooling system simulation and analysis device is applied to an energy storage system, wherein the energy storage system includes a plurality of battery modules, and a liquid cooling plate in the liquid cooling system includes a plurality of cooling branches that are interconnected, and the plurality of cooling branches are arranged in a one-to-one correspondence with the plurality of battery modules; the simulation and analysis device includes:

[0033] A detection module, used for obtaining a target heat dissipation amount of each battery module when it is not cooled;

[0034] A computing module is used to obtain a target flow rate of the coolant in each cooling branch according to a target heat dissipation of each battery module and a unit heat absorption of the coolant in the cooling branch; the computing module is also used to obtain a target cross-sectional size of each cooling branch according to a branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch; the branch model is used to characterize the correspondence between the cross-sectional size of the cooling branch in the liquid cooling plate and the flow rate of the coolant in the cooling branch.

[0035] In some embodiments, the detection module includes:

[0036] A measuring module, used to measure and obtain the initial battery terminal temperature of each battery module when it is not cooled;

[0037] The calculation module is used to obtain the target heat dissipation of each battery module according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module.

[0038] In some embodiments, the liquid cooling system simulation analysis device further includes:

[0039] The modeling module is used to establish a cold plate structural model of the liquid cooling plate according to the target cross-sectional dimensions of each cooling branch.

[0040] A liquid cooling system simulation and analysis device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the liquid cooling system simulation and analysis method when executing the computer program.

[0041] A computer-readable storage medium stores a computer program, which implements the steps of the above-mentioned liquid cooling system simulation analysis method when executed by a processor.

[0042] In the above-mentioned liquid cooling system simulation analysis method, the target flow rate of the coolant in the cooling branch corresponding to each battery module is obtained according to the target heat dissipation of each battery module in the energy storage system, and the target cross-sectional size of the cooling branch is confirmed according to the target flow rate of the coolant. The coolant can be accurately positioned and distributed according to the target heat dissipation of the battery module, thereby ensuring the temperature uniformity of the battery module in the energy storage system and improving the performance of the energy storage system. In addition, the cycle for confirming the parameters of the liquid cooling plate in the liquid cooling system is short and efficient. The process of confirming the parameters of the liquid cooling plate in the liquid cooling system does not require high-performance computing equipment, and the reliance on design tools is relatively small. At the same time, thermal simulation is not required in the process of confirming the parameters of the liquid cooling plate in the liquid cooling system, which reduces hardware usage and increases the life of the hardware.

[0043] In the above-mentioned liquid cooling system simulation and analysis device, the computing module obtains the target flow rate of the coolant in the cooling branch corresponding to each battery module according to the target heat dissipation of each battery module in the energy storage system, and confirms the target cross-sectional size of the cooling branch according to the target flow rate of the coolant; the coolant can be accurately positioned and distributed according to the target heat dissipation of the battery module, thereby ensuring the temperature uniformity of the battery module in the energy storage system and improving the performance of the energy storage system. In addition, the cycle for confirming the parameters of the liquid cooling plate in the liquid cooling system is short and efficient, and the process of confirming the parameters of the liquid cooling plate in the liquid cooling system does not require high-performance computing equipment, and the reliance on design tools is relatively small. At the same time, thermal simulation is not required in the process of confirming the parameters of the liquid cooling plate in the liquid cooling system, which reduces hardware usage and increases the life of the hardware. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 A schematic diagram of a flow chart of a liquid cooling system simulation analysis method in some embodiments;

[0046] Figure 2 A cross-sectional schematic diagram of an energy storage system in some embodiments;

[0047] Figure 3 It is a structural block diagram of a liquid cooling system simulation and analysis device in one embodiment;

[0048] Figure 4 It is a structural block diagram of a liquid cooling system simulation and analysis device in some other embodiments.

[0049] Description of reference numerals:

[0050] The battery module 102 , the liquid cooling plate 104 , the cooling branch 202 , the detection module 302 , the calculation module 304 , the setting module 306 , the modeling module 308 , the measurement module 402 , and the calculation module 404 . DETAILED DESCRIPTION

[0051] In order to facilitate understanding of the embodiments of the present disclosure, the embodiments of the present disclosure will be described more fully below with reference to the relevant drawings. The preferred embodiments of the embodiments of the present disclosure are shown in the drawings. However, the embodiments of the present disclosure can be implemented in many different forms and are not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the embodiments of the present disclosure more thorough and comprehensive.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the disclosed embodiments belong. The terms used herein in the specification of the disclosed embodiments are only for the purpose of describing specific embodiments and are not intended to limit the disclosed embodiments. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0053] In the description of the embodiments of the present disclosure, it should be understood that the terms "upper" and "lower" and the like indicate orientations or positional relationships based on the methods or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present disclosure and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present disclosure.

[0054] It is understood that the terms "first" and "second" used in the present disclosure are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. For example, without departing from the scope of the present disclosure, the first liquid temperature may be referred to as the second liquid temperature, and similarly, the second liquid temperature may be referred to as the first liquid temperature. Both the first liquid temperature and the second liquid temperature are liquid temperatures, but they are not the same liquid temperature. In the description of the present disclosure, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In the description of the present disclosure, the meaning of "several" is at least one, such as one, two, etc., unless otherwise clearly and specifically defined.

[0055] Figure 1 is a schematic diagram of a flow chart of a liquid cooling system simulation analysis method in some embodiments, Figure 2 is a cross-sectional schematic diagram of an energy storage system in some embodiments, such as Figure 1 , Figure 2 As shown, in this embodiment, a liquid cooling system simulation analysis method is provided, which is applied to an energy storage system. The energy storage system includes a plurality of battery modules 102. The simulation analysis method includes:

[0056] S102, obtaining a target heat dissipation amount of each battery module when it is not cooled.

[0057] Specifically, when the energy storage system is working, the target heat dissipation of each battery module 102 in the energy storage system is obtained in the absence of external cooling. At this time, the battery module 102 is in working state, and the battery module is not cooled; the target heat dissipation refers to the heat that the preset battery module in the energy storage system needs to dissipate when the preset battery module is at a preset temperature during the operation of the energy storage system.

[0058] S104, obtaining a target flow rate of the coolant in each cooling branch according to the target heat dissipation of each battery module and the unit heat absorption of the coolant in the cooling branch.

[0059] The liquid cooling plate 104 in the liquid cooling system includes a plurality of cooling branches 202 interconnected with each other, and the plurality of cooling branches 202 are arranged in a one-to-one correspondence with the plurality of battery modules 102. The liquid cooling plate 104 is located at the bottom of the battery module 102, and the battery module 102 is cooled by the cooling liquid flowing in the liquid cooling plate 104. The liquid cooling plate 104 includes cooling branches 202 arranged in a one-to-one correspondence with the battery module 102, and the number of cooling branches 202 is the same as the number of battery modules 102. The target heat dissipation of different battery modules 102 may be the same or different. The battery module 102 is cooled by the cooling liquid in the cooling branch 202 corresponding to the battery module 102, so that the terminal temperature of each battery module 102 is the same when the liquid cooling plate 104 is present.

[0060] The unit heat absorption refers to the heat that can be absorbed by a unit flow of coolant in the cooling branch 202. The unit heat absorption of the coolant in different cooling branches 202 is the same. According to the unit heat absorption of the coolant and the target heat dissipation of each battery module 102, the target flow of the coolant in each cooling branch 202 can be obtained.

[0061] S106, obtaining a target cross-sectional size of each cooling branch according to the branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch.

[0062] Specifically, the branch model of the liquid cooling plate 104 is used to characterize the correspondence between the cross-sectional dimensions of the cooling branch 202 in the liquid cooling plate 104 and the flow rate of the coolant in the cooling branch 202; according to the branch model of the liquid cooling plate 104 and the target flow rate of the coolant in each cooling branch 202, the target cross-sectional dimensions of each cooling branch 202 are obtained; wherein, the branch model is a model established based on the structural dimension information of the liquid cooling plate, the dimension information of the cooling branch in the liquid cooling plate, and the proportion information of the cooling branch in the liquid cooling plate, and the target cross-sectional dimension is used to characterize the cross-sectional area through which the coolant in the cooling branch 202 can pass.

[0063] In the above-mentioned liquid cooling system simulation analysis method, the target flow rate of the coolant in the cooling branch corresponding to each battery module is obtained according to the target heat dissipation of each battery module in the energy storage system, and the target cross-sectional size of the cooling branch is confirmed according to the target flow rate of the coolant. The coolant can be accurately positioned and distributed according to the target heat dissipation of the battery module, thereby ensuring the temperature uniformity of the battery module in the energy storage system and improving the performance of the energy storage system. In addition, the cycle for confirming the parameters of the liquid cooling plate in the liquid cooling system is short and efficient. The process of confirming the parameters of the liquid cooling plate in the liquid cooling system does not require high-performance computing equipment, and the reliance on design tools is relatively small. At the same time, thermal simulation is not required in the process of confirming the parameters of the liquid cooling plate in the liquid cooling system, which reduces hardware usage and increases the life of the hardware.

[0064] In some embodiments, obtaining the target heat dissipation of each battery module when it is not cooled includes steps S202 to S204.

[0065] S202, measuring and obtaining the initial battery terminal temperature of each battery module 102 before cooling.

[0066] Without cooling the energy storage system, the initial battery terminal temperature Tx of each battery module 102 during the operation of the energy storage system is measured. The initial battery terminal temperature Tx is used to characterize the maximum temperature of the battery module 102 during the operation without cooling.

[0067] S204 , obtaining a target heat dissipation amount of each battery module according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module.

[0068] According to the target battery terminal temperature T0 of the battery module 102 and the initial battery terminal temperature Tx of each of the battery modules 102, the target heat dissipation ⊿Qx of each of the battery modules 102 is obtained. The target battery terminal temperature T refers to the target value of the terminal temperature of the battery module 102 when the battery module 102 in the energy storage system is cooled by the liquid cooling plate 104.

[0069] In some embodiments, obtaining the target heat dissipation ΔQx of each battery module 102 according to the target battery terminal temperature T0 of the battery module 102 and the initial battery terminal temperature Tx of each battery module 102 includes steps S302 - S306 .

[0070] S302, obtaining a preset battery mass m1 and a preset battery specific heat capacity C1 of a preset battery module 1 in the battery module 102;

[0071] S304 , obtaining a preset temperature change ΔT1 of the preset battery module according to the target battery terminal temperature T0 and the initial battery terminal temperature T1 of the preset battery module 1 .

[0072] S306 , obtaining a preset target heat dissipation ΔQ1 of the battery module 1 according to the preset temperature change ΔT1 , the preset battery mass m1 , and the preset battery specific heat capacity C1 .

[0073] Steps S302-S306 are specifically as follows: first, obtain the preset battery mass m1 and the preset battery specific heat capacity C1 of the preset battery module 1 in the battery module 102. Secondly, according to the target battery terminal temperature T0 and the initial battery terminal temperature T1 of the preset battery module 1, obtain the preset temperature change ⊿T1 of the preset battery module, and the preset temperature change is used for the case where the initial battery terminal temperature T1 deviates from the target battery terminal temperature T0, where ⊿T1=ABS(T0-T1). Thirdly, according to the preset temperature change ⊿T1, the preset battery mass m1 and the preset battery specific heat capacity C1, obtain the target heat dissipation ⊿Q1 of the preset battery module 1, where ⊿Q1=⊿T1* C1* m1. Take the multiple battery modules 102 in the energy storage system as preset battery modules respectively, so as to obtain the target heat dissipation ⊿Qx of each battery module 102.

[0074] In some embodiments, the step of obtaining the target heat dissipation of each battery module when it is not cooled includes steps S402 to S406.

[0075] S402, measuring and obtaining the initial heat of each of the battery modules 102 before cooling.

[0076] In the case where the energy storage system is not cooled, the initial heat Qx of each battery module 102 during the operation of the energy storage system is measured, and the initial heat Qx is used to characterize the highest heat of the battery module 102 during the operation without cooling.

[0077] S404 , obtaining a target heat quantity Qx′ of each battery module 102 according to the target battery terminal temperature T0 of the battery module 102 .

[0078] Specifically, the preset battery mass m2 and the preset battery specific heat capacity C2 of the preset battery module 2 in the battery module 102 are obtained, and the preset target heat Q2' of the preset battery module 2 is obtained according to the target battery terminal temperature T0, the preset battery mass m2 and the preset battery specific heat capacity C2 of the preset battery module 2. Exemplarily, Q2'= T0* m2* C2.

[0079] S406 , obtaining a target heat dissipation ⊿Q2 of the preset battery module 2 according to a preset target heat Q2′ of the preset battery module 2 in the battery module 102 and an initial heat Q2 of the preset battery module. Exemplarily, ⊿Q2= ABS(Q2′-Q2).

[0080] like Figure 2As shown, in some embodiments, a plurality of the cooling branches 202 are connected in series. The series connection means that the cooling branches 202 are arranged in sequence. After the coolant enters the liquid cooling plate 104 from the liquid inlet of the liquid cooling plate 104, it flows through the cooling branches 202 in sequence. After the coolant flows out of the previous cooling branch 202, it flows into the next cooling branch 202. After flowing through all the cooling branches 202, the coolant flows out of the liquid cooling plate 104 from the liquid outlet of the liquid cooling plate 104, thereby completing the cooling of each battery module 102. Figure 2 The arrows in the figure illustrate the flow direction of the coolant; before obtaining the target flow rate Gx of the coolant in each cooling branch 202 according to the target heat dissipation ⊿Q of each battery module 102 and the unit heat absorption Q0 of the coolant in the cooling branch 202, steps S502-S506 are also included.

[0081] S502 , obtaining a coolant specific heat capacity C′ of the coolant, a first liquid temperature Ta of the coolant flowing into a liquid inlet of the liquid cooling plate 104 , and a second liquid temperature Tb of the coolant flowing out of a liquid outlet of the liquid cooling plate 104 .

[0082] S504: Obtain a unit total heat absorption amount Q0' of the coolant according to the coolant specific heat capacity C', the first liquid temperature Ta, and the second liquid temperature Tb.

[0083] S506 , obtaining the unit heat absorption Q0 according to the unit total heat absorption Q0 ′ and the number of the cooling branches 202 .

[0084] Specifically, steps S502-S506 are as follows: assuming that the unit heat absorption Q0 of the coolant in each cooling branch 202 is the same; after obtaining the coolant specific heat capacity C' of the coolant, the first liquid temperature Ta of the liquid inlet of the coolant flowing into the liquid cooling plate 104, and the second liquid temperature Tb of the coolant flowing out of the liquid outlet of the liquid cooling plate 104, the unit total heat absorption Q0' of the coolant in multiple cooling branches 202 is obtained according to the coolant specific heat capacity C', the first liquid temperature Ta and the second liquid temperature Tb. Exemplarily, Q0'=(Tb-Ta)*C' / 3.6; wherein Tb is greater than Ta, 3.6 is the coefficient when the temperature is converted into the heat absorption corresponding to the unit flow rate of the coolant, and the unit total heat absorption Q0' is used to characterize the sum of the heat absorption of the unit flow rate of the coolant in multiple cooling branches 202. Then, the unit heat absorption Q0 is obtained according to the unit total heat absorption Q0' and the number of cooling branches 202, where the number of cooling branches 202 is equal to the number N of battery modules 102 in the energy storage system; illustratively, the unit heat absorption Q0 = Q0' / N; the target flow Gx = ⊿Qx / Q0.

[0085] In some embodiments, multiple cooling branches 202 are connected in parallel. Parallel connection means that the cooling branches 202 are arranged in parallel. After the coolant enters the liquid cooling plate 104 from the liquid inlet of the liquid cooling plate 104, it enters each cooling branch 202 respectively. Then, after the coolant flows out after each cooling branch 202, it flows out of the liquid cooling plate 104 from the liquid outlet of the liquid cooling plate 104 respectively, thereby completing the cooling of each battery module 102. According to the target heat dissipation ⊿Q of each battery module 102 and the unit heat absorption Q0 of the coolant in the cooling branch 202, before obtaining the target flow rate Gx of the coolant in each cooling branch 202, steps S602-S604 are also included.

[0086] S602 , obtaining a coolant specific heat capacity C′ of the coolant, a first liquid temperature Ta of a liquid inlet of the coolant flowing into the liquid cooling plate 104 , and a second liquid temperature Tb of a liquid outlet of the coolant flowing out of the liquid cooling plate 104 .

[0087] S604: Obtain the unit heat absorption amount Q0 according to the coolant specific heat capacity C', the first liquid temperature Ta, and the second liquid temperature Tb.

[0088] Steps S602-S604 are specifically as follows: the temperature of the coolant flowing into each cooling branch 202 is equal to the first liquid temperature Ta of the coolant flowing into the liquid inlet of the liquid cooling plate 104, the temperature of the coolant flowing out of each cooling branch 202 is equal to the second liquid temperature Tb of the coolant flowing out of the liquid outlet of the liquid cooling plate 104, and the unit heat absorption Q0 of the coolant in each cooling branch 202 is the same; after obtaining the coolant specific heat capacity C' of the coolant, the first liquid temperature Ta of the coolant flowing into the liquid inlet of the liquid cooling plate 104, and the second liquid temperature Tb of the coolant flowing out of the liquid outlet of the liquid cooling plate 104, the unit heat absorption Q0 of the coolant in the cooling branch 202 is obtained according to the coolant specific heat capacity C', the first liquid temperature Ta and the second liquid temperature Tb. Exemplarily, Q0=(Tb-Ta)*C' / 3.6; wherein Tb is greater than Ta, and 3.6 is the coefficient when the temperature is converted into the heat absorption corresponding to the unit flow rate of the coolant; the target flow rate Gx=⊿Qx / Q0.

[0089] In some embodiments, obtaining a target cross-sectional size Sx of each cooling branch 202 based on the branch model of the liquid cooling plate 104 and the target flow rate Gx of the coolant in each cooling branch 202 includes steps S702-S706.

[0090] S702 , obtaining a simulated flow rate of each cooling branch according to the branch model and the preset cross-sectional size of each cooling branch 202 .

[0091] S704, establishing an evaluation function according to the target flow and the simulated flow corresponding to the cooling branch, wherein the evaluation function is used to characterize the deviation between the target flow and the simulated flow;

[0092] S706 , obtaining a preset cross-sectional size of each cooling branch 202 that makes the evaluation function corresponding to each cooling branch satisfy a preset condition, as a target cross-sectional size of each cooling branch 202 .

[0093] Steps S702-S706 are specifically as follows: assuming that the liquid cooling plate 104 includes N cooling branches 202, first, according to the branch model and the preset cross-sectional dimensions S1′, S2′, …, S N ', the preset cross-sectional size S1' corresponds to the first cooling branch, the preset cross-sectional size S2' corresponds to the second cooling branch, ..., the preset cross-sectional size S N 'Corresponding to the Nth cooling branch, a flow field simulation is performed to obtain the simulated flow G1', simulated flow G2', ..., simulated flow G N ', the simulated flow G1' corresponds to the first cooling branch, the simulated flow G2' corresponds to the second cooling branch, ..., the simulated flow G N ' corresponds to the Nth cooling branch. Secondly, according to the target flow Gx and the simulated flow Gx' corresponding to the cooling branch, an evaluation function Y is established. Thirdly, the preset cross-sectional dimensions S1', S2', ..., S3' of each cooling branch 202 are obtained so that the evaluation function Y corresponding to each cooling branch 202 satisfies the preset conditions. N ', as the target cross-sectional dimensions S1, S2, ..., S of each cooling branch 202 N , the target cross-sectional size S1 corresponds to the first cooling branch, the target cross-sectional size S2 corresponds to the second cooling branch, ..., the target cross-sectional size S N Corresponding to the Nth cooling branch. According to the branch model of the liquid cooling plate 104 and the target flow rate Gx of the coolant in each cooling branch 202, the target cross-sectional size Sx of each cooling branch 202 is obtained, and the time for obtaining the parameters of the liquid cooling plate is short and the efficiency is high.

[0094] In some embodiments, when the evaluation function Y corresponding to each cooling branch 202 is less than a preset value, it is determined that the evaluation function Y corresponding to each cooling branch 202 meets the preset condition. Exemplarily, the evaluation function Y=ABS (Gx'-Gx) / Gx, and the preset value is 5%.

[0095] It is understandable that, when the evaluation function Y corresponding to at least one cooling branch 202 is greater than or equal to the preset value, it is determined that the evaluation function Y corresponding to each cooling branch 202 does not meet the preset condition. At this time, after adjusting the preset cross-sectional size corresponding to at least one cooling branch 202, steps S704 and S706 are repeated until the evaluation function Y corresponding to each cooling branch 202 meets the preset condition.

[0096] In some embodiments, the liquid cooling system simulation analysis method further includes: establishing a cold plate structure model of the liquid cooling plate 104 according to a target cross-sectional size of each of the cooling branches 202 .

[0097] In some embodiments, the liquid cooling system simulation analysis method further includes: establishing a thermal simulation model of the energy storage system according to the target cross-sectional dimensions of each cooling branch 202 and the energy storage model of the energy storage system; and performing thermal simulation verification on the energy storage system according to the thermal simulation model. This is to detect whether the simulated terminal temperature of each battery module in the energy storage system after adding the liquid cooling plate is consistent with the target terminal temperature, thereby improving the accuracy of the parameters of the liquid cooling plate and the consistency of the operating temperature of each battery module.

[0098] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0099] Figure 3 FIG. 1 is a structural block diagram of a liquid cooling system simulation and analysis device in an embodiment. Figure 2 , Figure 3As shown, in this embodiment, a liquid cooling system simulation analysis device is provided, and the parts that are the same or corresponding to the embodiments in the above-mentioned liquid cooling system simulation analysis method will not be repeated below. The liquid cooling system simulation analysis device is applied to an energy storage system, wherein the energy storage system includes a plurality of battery modules 102, and the liquid cooling plate 104 in the liquid cooling system includes a plurality of interconnected cooling branches 202, and the plurality of cooling branches 202 are arranged in a one-to-one correspondence with the plurality of battery modules 102; the simulation analysis device includes: a detection module 302 and a calculation module 304; the detection module 302 is used to obtain the target heat dissipation of each of the battery modules 102 when it is not cooled; the calculation module 304 is used to calculate the target heat dissipation of each of the battery modules 102 according to the target heat dissipation of each of the battery modules 102; 2 and the unit heat absorption of the coolant in the cooling branch 202, to obtain the target flow rate of the coolant in each of the cooling branches 202; the computing module 304 is further used to obtain the target cross-sectional size of each of the cooling branches 202 according to the branch model of the liquid cooling plate 104 and the target flow rate of the coolant in each of the cooling branches 202; the branch model is used to characterize the correspondence between the cross-sectional size of the cooling branch 202 in the liquid cooling plate 104 and the flow rate of the coolant in the cooling branch 202.

[0100] In the above-mentioned liquid cooling system simulation and analysis device, the computing module obtains the target flow rate of the coolant in the cooling branch corresponding to each battery module according to the target heat dissipation of each battery module in the energy storage system, and confirms the target cross-sectional size of the cooling branch according to the target flow rate of the coolant; the coolant can be accurately positioned and distributed according to the target heat dissipation of the battery module, thereby ensuring the temperature uniformity of the battery module in the energy storage system and improving the performance of the energy storage system. In addition, the cycle for confirming the parameters of the liquid cooling plate in the liquid cooling system is short and efficient, and the process of confirming the parameters of the liquid cooling plate in the liquid cooling system does not require high-performance computing equipment, and the reliance on design tools is relatively small. At the same time, thermal simulation is not required in the process of confirming the parameters of the liquid cooling plate, which reduces hardware usage and increases the life of the hardware.

[0101] Figure 4 is a structural block diagram of a liquid cooling system simulation and analysis device in some other embodiments, such as Figure 4 As shown, in some embodiments, the detection module 302 includes a measurement module 402 and a calculation module 404; the measurement module 402 is used to measure and obtain the initial battery terminal temperature of each of the battery modules 102 when it is not cooled; the calculation module 404 is used to obtain the target heat dissipation of each of the battery modules based on the target battery terminal temperature of the battery module 102 and the initial battery terminal temperature of each of the battery modules 102.

[0102] In some embodiments, the measurement module 402 is also used to measure and obtain the initial battery terminal temperature Tx of each of the battery modules 102 when it is not cooled; the calculation module 404 is also used to obtain the target heat dissipation of each of the battery modules based on the target battery terminal temperature of the battery module and the initial battery terminal temperature of each of the battery modules 102.

[0103] like Figure 4 As shown, in some embodiments, the liquid cooling system simulation and analysis device also includes: a setting module 306, the setting module 306 is used to set the preset battery mass m1 and the preset battery specific heat capacity C1 of the preset battery module 1 in the battery module 102, and the target battery terminal temperature T0 of the battery module 102; the operation module 404 is also used to obtain the preset temperature change ⊿T1 of the preset battery module according to the target battery terminal temperature T0 and the initial battery terminal temperature T1 of the preset battery module 1, and obtain the target heat dissipation ⊿Q1 of the preset battery module 1 according to the preset temperature change ⊿T1, the preset battery mass m1 and the preset battery specific heat capacity C1.

[0104] In some embodiments, the detection module 302 is also used to measure and obtain the initial heat Qx of each of the battery modules 102 when it is not cooled; the calculation module 404 is also used to obtain the target heat Qx' of each battery module 102 according to the target battery terminal temperature T0 of the battery module 102, and obtain the target heat dissipation ⊿Q2 of the preset battery module 2 according to the preset target heat Q2' of the preset battery module 2 in the battery module 102 and the initial heat Q2 of the preset battery module.

[0105] In some embodiments, multiple cooling branches 202 are connected in series, and the calculation module 404 is also used to obtain the unit total heat absorption Q0' of the coolant according to the coolant specific heat capacity C' of the coolant, the first liquid temperature Ta of the coolant flowing into the liquid inlet of the liquid cooling plate 104, and the second liquid temperature Tb of the coolant flowing out of the liquid outlet of the liquid cooling plate 104, and obtain the unit heat absorption Q0 according to the unit total heat absorption Q0' and the number of the cooling branches 202.

[0106] In some embodiments, the setting module 306 is also used to set the coolant specific heat capacity C′ of the coolant, the first liquid temperature Ta of the coolant flowing into the liquid inlet of the liquid cooling plate 104 and the second liquid temperature Tb of the coolant flowing out of the liquid outlet of the liquid cooling plate 104 .

[0107] In some embodiments, multiple cooling branches 202 are connected in parallel, and the calculation module 404 is also used to obtain the unit heat absorption Q0 according to the coolant specific heat capacity C' of the coolant, the first liquid temperature Ta of the coolant flowing into the liquid inlet of the liquid cooling plate 104, and the second liquid temperature Tb of the coolant flowing out of the liquid outlet of the liquid cooling plate 104.

[0108] In some embodiments, the computing module 304 is also used to obtain the simulated flow of each cooling branch according to the branch model and the preset cross-sectional dimensions of each cooling branch 202, and to establish an evaluation function according to the target flow and the simulated flow corresponding to the cooling branch, wherein the evaluation function is used to characterize the deviation between the target flow and the simulated flow, and to obtain the preset cross-sectional dimensions of each cooling branch 202 so that the evaluation functions corresponding to each cooling branch meet the preset conditions, as the target cross-sectional dimensions of each cooling branch 202.

[0109] In some embodiments, when the evaluation function Y corresponding to each cooling branch 202 is less than a preset value, the computing module 304 determines that the evaluation function Y corresponding to each cooling branch 202 satisfies a preset condition.

[0110] In some embodiments, when the evaluation function Y corresponding to at least one cooling branch 202 is greater than or equal to a preset value, the computing module 304 determines that the evaluation function Y corresponding to each cooling branch 202 does not satisfy a preset condition.

[0111] like Figure 4 As shown, in some embodiments, the liquid cooling system simulation and analysis device further includes: a modeling module 308 , and the modeling module 308 is used to establish a cold plate structure model of the liquid cooling plate 104 according to the target cross-sectional size of each of the cooling branches 202 .

[0112] In some embodiments, the modeling module 308 establishes a thermal simulation model of the energy storage system according to the target cross-sectional dimensions of each cooling branch 202 and the energy storage model of the energy storage system; the computing module 304 is also used to perform thermal simulation verification on the energy storage system according to the thermal simulation model. This can detect whether the simulated terminal temperature of each battery module in the energy storage system after adding the liquid cooling plate is consistent with the target terminal temperature, thereby improving the accuracy of the parameters of the liquid cooling plate and the consistency of the operating temperature of each battery module.

[0113] Each module or module in the above-mentioned liquid cooling system simulation and analysis device can be implemented in whole or in part by software, hardware and a combination thereof. Each module or module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0114] In an exemplary embodiment, a liquid cooling system simulation and analysis device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned liquid cooling system simulation and analysis method when executing the computer program.

[0115] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned liquid cooling system simulation analysis method are implemented.

[0116] In an exemplary embodiment, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the steps of the above-mentioned liquid cooling system simulation analysis method are implemented.

[0117] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0118] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0119] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A liquid cooling system simulation analysis method, characterized in that: Applied to an energy storage system, the energy storage system includes a plurality of battery modules, the liquid cooling plate in the liquid cooling system includes a plurality of cooling branches interconnected with each other, and the plurality of cooling branches are arranged in a one-to-one correspondence with the plurality of battery modules; the simulation analysis method includes: Obtaining the target heat dissipation of each battery module when it is not cooled; According to the target heat dissipation of each battery module and the unit heat absorption of the coolant in the cooling branch, the target flow rate of the coolant in each cooling branch is obtained; wherein the unit heat absorption refers to the heat absorbed by the coolant per unit flow rate in the cooling branch; According to the branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch, a target cross-sectional size of each cooling branch is obtained; the branch model is used to characterize the corresponding relationship between the cross-sectional size of the cooling branch in the liquid cooling plate and the flow rate of the coolant in the cooling branch; Wherein, obtaining the target cross-sectional size of each cooling branch according to the branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch includes: According to the branch model and the preset cross-sectional dimensions of each cooling branch, flow field simulation is performed to obtain a simulated flow rate of each cooling branch; Establishing an evaluation function according to the target flow and the simulated flow corresponding to the cooling branch, wherein the evaluation function is used to characterize the deviation between the target flow and the simulated flow; The preset cross-sectional dimensions of each cooling branch that make the evaluation functions corresponding to each cooling branch satisfy preset conditions are obtained as the target cross-sectional dimensions of each cooling branch.

2. The liquid cooling system simulation analysis method according to claim 1, characterized in that: The obtaining of the target heat dissipation of each battery module when it is not cooled includes: Measuring and obtaining the initial battery terminal temperature of each battery module when it is not cooled; The target heat dissipation of each battery module is obtained according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module.

3. The liquid cooling system simulation analysis method according to claim 2, characterized in that: The step of obtaining a target heat dissipation amount of each battery module according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module comprises: Obtaining a preset battery mass and a preset battery specific heat capacity of a preset battery module in the battery module; Obtaining a preset temperature change of the preset battery module according to the target battery terminal temperature and the initial battery terminal temperature of the preset battery module; The target heat dissipation of the preset battery module is obtained according to the preset temperature change, the preset battery mass and the preset battery specific heat capacity.

4. The liquid cooling system simulation analysis method according to claim 1, characterized in that: The plurality of cooling branches are connected in parallel, and before obtaining a target flow rate of the coolant in each cooling branch according to a target heat dissipation of each battery module and a unit heat absorption of the coolant in the cooling branch, the method further comprises: Acquire the coolant specific heat capacity of the coolant, a first liquid temperature of a liquid inlet of the coolant flowing into the liquid cooling plate, and a second liquid temperature of a liquid outlet of the coolant flowing out of the liquid cooling plate; The unit heat absorption amount is obtained according to the specific heat capacity of the coolant, the first liquid temperature and the second liquid temperature.

5. The liquid cooling system simulation analysis method according to claim 1, characterized in that: The plurality of cooling branches are connected in series, and before obtaining a target flow rate of the coolant in each cooling branch according to a target heat dissipation of each battery module and a unit heat absorption of the coolant in the cooling branch, the method further comprises: Acquire the coolant specific heat capacity of the coolant, a first liquid temperature of the coolant flowing into a liquid inlet of the liquid cooling plate, and a second liquid temperature of the coolant flowing out of a liquid outlet of the liquid cooling plate; Obtaining a unit total heat absorption amount of the coolant according to the specific heat capacity of the coolant, the first liquid temperature, and the second liquid temperature; The unit heat absorption is obtained according to the unit total heat absorption and the number of the cooling branches.

6. The liquid cooling system simulation analysis method according to claim 1, characterized in that: The simulation analysis method also includes: A cold plate structural model of the liquid cooling plate is established according to the target cross-sectional dimensions of each of the cooling branches.

7. The liquid cooling system simulation analysis method according to any one of claims 1 to 6, characterized in that: The simulation analysis method also includes: Establishing a thermal simulation model of the energy storage system according to the target cross-sectional dimensions of each cooling branch and the energy storage model of the energy storage system; A thermal simulation verification is performed on the energy storage system according to the thermal simulation model.

8. A liquid cooling system simulation analysis device, characterized in that: Applied to an energy storage system, the energy storage system includes a plurality of battery modules, the liquid cooling plate in the liquid cooling system includes a plurality of cooling branches interconnected with each other, and the plurality of cooling branches are arranged in a one-to-one correspondence with the plurality of battery modules; the simulation analysis device includes: A detection module, used for obtaining a target heat dissipation amount of each battery module when it is not cooled; A computing module, used for obtaining a target flow rate of the coolant in each cooling branch according to a target heat dissipation of each battery module and a unit heat absorption of the coolant in the cooling branch; the computing module is also used for obtaining a target cross-sectional size of each cooling branch according to a branch model of the liquid cooling plate and the target flow rate of the coolant in each cooling branch; the branch model is used for characterizing a corresponding relationship between a cross-sectional size of a cooling branch in a liquid cooling plate and a flow rate of the coolant in the cooling branch; Among them, the unit heat absorption refers to the heat absorbed by the coolant per unit flow in the cooling branch; the computing module is also used to perform flow field simulation according to the branch model and the preset cross-sectional dimensions of each cooling branch to obtain the simulated flow of each cooling branch, and establish an evaluation function according to the target flow and the simulated flow corresponding to the cooling branch. The evaluation function is used to characterize the deviation between the target flow and the simulated flow, and obtain the preset cross-sectional dimensions of each cooling branch so that the evaluation functions corresponding to each cooling branch meet the preset conditions, as the target cross-sectional dimensions of each cooling branch.

9. The liquid cooling system simulation analysis device according to claim 8, characterized in that: The detection module comprises: A measuring module, used to measure and obtain the initial battery terminal temperature of each battery module when it is not cooled; The calculation module is used to obtain the target heat dissipation of each battery module according to the target battery terminal temperature of the battery module and the initial battery terminal temperature of each battery module.

10. The liquid cooling system simulation analysis device according to claim 8, characterized in that: Also includes: The modeling module is used to establish a cold plate structure model of the liquid cooling plate according to the target cross-sectional dimensions of each cooling branch.

11. A liquid cooling system simulation analysis device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the liquid cooling system simulation analysis method according to any one of claims 1 to 7 are implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the liquid cooling system simulation analysis method according to any one of claims 1 to 7 are implemented.

Images