A high-fidelity thermal simulation method for power modules based on local convection heat dissipation coefficient matrix extraction

By spatially discretizing the top surface of the radiator and extracting the local convective heat transfer coefficient matrix, the problems of high computational resource consumption and inaccurate temperature distribution reproduction in the existing technology are solved, achieving high-precision and fast thermal simulation results that can adapt to complex heat dissipation topologies.

CN122154559APending Publication Date: 2026-06-05HUAZHONG UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Filing Date
2026-04-20
Publication Date
2026-06-05

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Abstract

The application belongs to the technical field of power module thermal simulation, and discloses a power module high-fidelity thermal simulation method based on local convection heat dissipation coefficient matrix extraction; the application realizes high-precision and low-computing-cost thermal characteristic prediction through radiator top surface space discretization and local convection heat transfer coefficient matrix extraction technology; the simulation prediction precision is high and has the ability to capture non-uniform thermal characteristics, effectively solving the failure problem of traditional simplified thermal models in identifying downstream hotspot risks; the traditional simplified method usually applies uniform constant convection heat transfer coefficient on the boundary, ignores the thermal wake effect caused by fluid heat absorption along the way, and causes the downstream area temperature prediction to be low; the scheme divides the radiator top surface into N independent rectangular sub-regions, reversely extracts the specific heat transfer driving force of each sub-region which can accurately depict the spatial decay law of the fluid heat transfer driving force, and ensures that the non-uniform temperature distribution can still be accurately reproduced under complex flow field conditions.
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