Parameter-driven simulation method and system for full-link battery heat transfer analysis

By automating the battery heat transfer simulation process using a parameter-driven approach, the problems of complex operation and poor interoperability in traditional methods are solved, achieving efficient and flexible battery heat transfer simulation.

CN122334064APending Publication Date: 2026-07-03INST OF SOFTWARE - CHINESE ACAD OF SCI
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Patent Information

Application Number
CN202510009798.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-03
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Traditional battery heat transfer simulation methods are complex to operate, inefficient, have poor interoperability between multiple CFD software, are highly dependent on manual operation, and are prone to errors.

Method used

A parameter-driven approach is adopted, using Python and shell scripts to automate geometric modeling, mesh generation, simulation calculation, and post-processing. Salome, OpenFOAM, and ParaView software are used to perform end-to-end battery heat transfer analysis, simplifying the operation process and optimizing multi-software collaborative simulation.

Benefits of technology

It simplifies the operation process, improves simulation efficiency and flexibility, reduces manual operation steps, reduces data transmission errors, and achieves highly efficient and automated battery heat transfer simulation.

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Abstract

The invention discloses a parameter-driven simulation method and system for full-link battery heat transfer analysis, and belongs to the technical field of battery heat transfer simulation. The method comprises the following steps: acquiring geometric parameters, and generating geometric model data of battery heat transfer analysis in a target area; acquiring grid density and regional grouping information, and generating grid data based on the geometric model data, the grid density and the regional grouping information; material attributes and boundary conditions are obtained, numerical solution of fluid-solid conjugate heat transfer is carried out based on the grid data, the material attributes and the boundary conditions, and co-simulation data are obtained; and post-processing the co-simulation data to obtain a final simulation result. According to the method, modeling and simulation steps can be simplified, and the efficiency and flexibility of the battery heat transfer simulation process are improved.
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