CN-121997797-A - Flow field optimization method and device of multi-branch flow channel system and storage medium

CN121997797ACN 121997797 ACN121997797 ACN 121997797ACN-121997797-A

Abstract

The embodiment of the invention provides a flow field optimization method, an optimization device and a storage medium of a multi-branch flow channel system, and belongs to the technical field of flow field optimization of flow channels. The method comprises the steps of establishing a simulation model of the multi-branch flow channel system, carrying out flow field uniformity analysis on the simulation model to determine distribution flow of each branch flow channel of the multi-branch flow channel system, determining a target water inlet area of each branch flow channel according to the number of branches of the multi-branch flow channel system, the distribution flow of each branch flow channel and the sectional area, and carrying out optimization adjustment on the distribution flow of each branch flow channel according to the target water inlet area. The design process is changed into a systematic and data-driven scientific flow, and the flow channel design can be rapidly and accurately estimated and optimized by combining model simulation, data processing and an optimization algorithm, so that the homogenization of a cooling liquid flow field in the system is realized, and the consistency of a temperature field is further ensured.

Inventors

FU YIMIN
QIN JIWEN
LI WEI
ZHANG YAWEI
YU BO
YAO LINYUN
LI HONGJIAN
SHENG JUN
YU HUIGEN

Assignees

北京卫固新能源科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251216

Claims (12)

1. A method for optimizing a flow field of a multi-branch flow channel system, the method comprising: establishing a simulation model of the multi-branch flow channel system; Carrying out flow field uniformity analysis on the simulation model to determine the distribution flow of each branch flow channel of the multi-branch flow channel system; determining the target water inlet area of each branch flow channel according to the branch number of the multi-branch flow channel system, the distribution flow rate and the sectional area of each branch flow channel, and And optimizing and adjusting the distribution flow of each branch flow passage according to the target water inlet area.
2. The optimization method according to claim 1, characterized in that, The multi-branch flow channel system is a liquid cooling system and is applied to any one of an energy storage system, a fuel cell stack and a server, The liquid cooling system of the energy storage system comprises a first pipeline runner corresponding to each battery cluster and a second pipeline runner corresponding to each battery pack.
3. The optimization method according to claim 2, characterized in that, In the case that the multi-branch flow channel system is a liquid cooling system of the energy storage system, the establishing a simulation model of the multi-branch flow channel system includes: establishing a first simulation model of the plurality of battery clusters and the first pipeline runner in a liquid cooling system of the energy storage system, and And establishing a second simulation model of the plurality of battery packs and the second pipeline runner in the battery cluster.
4. The optimization method according to claim 1 to 3, characterized in that, The simulation model is a CFD model, and the flow field uniformity analysis is performed on the simulation model to determine the distribution flow of each branch flow channel of the multi-branch flow channel system, including: setting boundary conditions of the CFD model and drawing grids, wherein the drawing grids preferably comprise at least one of a grid size range which is set between 1/3 of the minimum geometric characteristic of the simulation model and 1/2 of the maximum pipeline diameter of the simulation model, 3-5 layers of boundary layer grids are arranged in a near-wall area of the simulation model, the surface grid deflection rate of the grids is smaller than 0.7, and the orthogonal mass of the volume grids is larger than 0.2; Performing simulation analysis on the CFD model, and outputting the distribution flow of each branch flow channel; Preferably, the optimizing method further comprises performing automatic data post-processing according to the distribution flow of each branch flow passage to output a statistical table and/or a visual curve of a plurality of flow parameters, Wherein the flow parameters include at least one of average flow, maximum flow, minimum flow, and minimum flow of the respective bypass flow channels.
5. The optimization method according to claim 1 to 3, characterized in that, The determining the target water inlet area of each branch flow channel according to the number of the branch flow channels, the distribution flow rate and the sectional area of each branch flow channel comprises the following steps: determining the target flow of each branch flow passage according to the number and the total flow of the branch flow passages; The target water inlet area of each branch flow passage is determined according to the distribution flow rate, the sectional area and the target flow rate of each branch flow passage, wherein Q n *A n = Q x A, Wherein Q n is the distribution flow of the nth branch flow passage, A n is the target water inlet area of the nth branch flow passage, Q is the target flow of the nth branch flow passage, and A is the sectional area of the nth branch flow passage.
6. The optimization method according to claim 5, characterized in that, The optimizing and adjusting the distribution flow of each branch flow passage according to the target water inlet area comprises the following steps: determining a first optimized radius of each branch flow passage according to the target water inlet area and the radius of each branch flow passage; determining a second optimized radius of the water inlet and outlet pipelines according to the maximum value of the first optimized radius, and And adjusting the flow in each branch flow passage according to the first optimized radius and the second optimized radius.
7. The optimizing method according to claim 6, wherein the flow rate in each branch flow passage is adjusted by the opening degree of the throttle valve, The first optimized radius r n of the nth branch flow channel is calculated according to the following formula: r n =r*(Q/Q n ) 1/2 , The throttle opening alpha n of the nth branch flow passage is calculated by the following formula alpha n =(r n /R) 2 , And R is the initial radius of the nth branch flow channel, R is the second optimized radius and is larger than or equal to the maximum value in the first optimized radius.
8. The optimization method according to claim 1 to 3, characterized in that, After the flow rate of each branch flow channel is optimally adjusted according to the target water inlet area, the optimizing method further comprises the following steps: verifying the flow field uniformity of the simulation model of the optimized multi-branch flow channel system; and carrying out iterative optimization on the distribution flow of each branch flow passage under the condition that the verification is not passed.
9. A flow field optimizing apparatus for a multi-branch flow channel system, the optimizing apparatus comprising: The model construction module is used for establishing a simulation model of the multi-branch runner system; the flow analysis module is used for carrying out flow field uniformity analysis on the simulation model so as to determine the distribution flow of each branch flow channel of the multi-branch flow channel system; a data processing module for determining the target water inlet area of each branch flow channel according to the branch number of the multi-branch flow channel system, the distribution flow rate and the sectional area of each branch flow channel, and And the optimization and adjustment module is used for optimizing and adjusting the distribution flow of each branch flow passage according to the target water inlet area.
10. A multi-branch flow channel system is characterized by being applied to any one of an energy storage system, a fuel cell stack and a server, Wherein the multi-branch flow channel system comprises a flow field optimizing device of the multi-branch flow channel system according to claim 9.
11. A machine-readable storage medium comprising, The machine-readable storage medium having instructions stored thereon for causing a machine to perform a method of flow field optimization for a multi-branch flow channel system according to any one of claims 1-8.
12. A processor, for running a program, Wherein the program is run for performing a flow field optimization method of a multi-branch flow channel system according to any one of claims 1-8.

Description

Flow field optimization method and device of multi-branch flow channel system and storage medium Technical Field The invention relates to the technical field of flow field optimization of flow channels, in particular to a flow field optimization method, an optimization device and a storage medium of a multi-branch flow channel system. Background The energy storage system, the fuel cell stack, the server and other devices all need a multi-branch runner system to realize timely and uniform heat dissipation in the multi-branch runner system. Taking a large energy storage system as an example, it is generally composed of thousands or even tens of thousands of cells connected in series-parallel. The battery cell can generate a large amount of heat in the charge and discharge process, and if the heat cannot be timely and uniformly emitted, uneven temperature distribution in the system can be caused, so that a series of problems are caused. In view of the above challenges, conventional air-cooling schemes have been difficult to meet the demands of large energy storage systems in terms of heat dissipation efficiency and space compactness. In contrast, the liquid cooling technology has become the mainstream cooling technology route of the current large-scale energy storage system because of its higher specific heat capacity and heat transfer efficiency and more accurate temperature control of the battery module. The core design of the liquid cooling system aims at a runner network thereof. An ideal flow path design should ensure that the flow distribution of the coolant is highly uniform as it flows through each of the parallel lines and each of the battery packs. Ideally, all parallel branches should have the same flow resistance, so that the coolant is uniformly distributed, and finally, all the cells are ensured to work in a mild and consistent temperature interval. However, in practical engineering design and optimization processes, achieving this ideal goal faces a significant bottleneck. First, the scale and complexity of the system makes experience-dependent "trial and error" design procedures inefficient, and it is difficult to guarantee the reliability of the final solution. Second, the design results largely from simulations of existing success cases, or from adjustments that rely on limited experience by the engineer's individual. The whole design and optimization process cannot form a standardized and systematic flow guide set. It is often necessary to go through multiple rounds of experience-based "design-simulation-modification" trial-and-error cycles, greatly extending the product development cycle and significantly increasing labor and time costs. Disclosure of Invention The embodiment of the invention aims to provide a flow field optimization method, an optimization device and a storage medium of a multi-branch flow channel system, and aims to overcome the defects in the prior art, rapidly and accurately evaluate and optimize the flow channel design, realize homogenization of a cooling liquid flow field in the system and further guarantee consistency of a temperature field. In order to achieve the above purpose, in one aspect, the invention provides a flow field optimization method of a multi-branch flow channel system, which comprises the steps of establishing a simulation model of the multi-branch flow channel system, carrying out flow field uniformity analysis on the simulation model to determine distribution flow of each branch flow channel of the multi-branch flow channel system, determining a target water inlet area of each branch flow channel according to the number of branches of the multi-branch flow channel system, the distribution flow of each branch flow channel and the sectional area, and carrying out optimization adjustment on the distribution flow of each branch flow channel according to the target water inlet area. On the other hand, the embodiment of the invention provides a flow field optimizing device of a multi-branch flow channel system, which comprises a model construction module, a flow analysis module, a data processing module and an optimizing and adjusting module, wherein the model construction module is used for establishing a simulation model of the multi-branch flow channel system, the flow analysis module is used for carrying out flow field uniformity analysis on the simulation model to determine distribution flow of each branch flow channel of the multi-branch flow channel system, the data processing module is used for determining a target water inlet area of each branch flow channel according to the number of branches of the multi-branch flow channel system, the distribution flow of each branch flow channel and the sectional area of each branch flow channel, and the optimizing and adjusting module is used for optimizing and adjusting the distribution flow of each branch flow channel according to the target water inlet area. The invention further provides a multi-branc