Thermal management of electric vehicle power cabin based on fast zero-dimensional integrating accurate three-dimensional optimization model

Peimiao Li, Shibo Wang, Hui Wang, Yun Feng, Hongliang Li and Heye Xiao

Applied Energy, 2025, vol. 378, issue PA, No S0306261924021664

Abstract: The heat dissipation scheme design of power cabin is limited by complex configuration and slow iteration speed. Given the considerable time and computing resources required by numerical experiment, this work proposes a fast zero dimensional integrating accurate three-dimensional optimization model to calculate the heat dissipation and optimize the thermal management in electric vehicle power cabin. Based on the existing thermal equivalent circuit model, the heat capacity and thermal resistance network among each equipment is established in fast zero-dimensional model, and the output of fast zero-dimensional model is corrected by referring to the accurate initial three-dimensional simulation results. Then, the optimal heat dissipation configuration is searched by zero-dimensional model and validated by experimental data. Results show that the optimization result of fast zero dimensional integrating accurate three-dimensional optimization model is well verified by three-dimensional model. The chip temperature of the power cabin motor controller can be reduced from 551.73 K to 352.31 K after optimizing the number and size of the pin-fins of the motor controller using the proposed model. The time consumption of fast zero dimensional integrating accurate three-dimensional optimization model is 72.0872 h, while the time consumption of three-dimensional model is about 576 h with 224 cores of computer. The proposed model can be used to achieve the purpose of rapidly predicting the temperature change of the complex vehicle design, and provide theoretical reference for the reasonable formulation of the heat dissipation scheme.

Keywords: Thermal management; Electric vehicle; Power cabin; Zero and three dimensional integrating optimization model (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2024.124783

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