基于多目标粒子群算法的Π型风冷BTMS结构参数优化

doi:10.11896/cldb.24090090

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Abstract Air-cooled thermal management technology has been widely employed for regulating the temperature of lithium-ion batteries in electric vehicles due to its simplicity, cost-effectiveness, and low energy consumption. However, conventional air-cooled systems suffer limitations such as inadequate cooling capacity and uneven temperature distribution within battery packs. This work made an effort in designing a novel Π-type air-cooled battery thermal management system (BTMS) and comparing its cooling performance with the conventional Z-type system through numerical simulations. Results indicated that the Π-type BTMS could achieve a more uniform internal airflow, thereby reducing both the maximum temperature and temperature differentials across the battery pack compared to the Z-type system. Furthermore it entailed an investigation on the inf-luence of structural parameters such as inlet height, inlet width, and outlet position on the Π-type BTMS performance. Functional relationships between these parameters and key thermal metrics were established. Leveraging the multi-objective particle swarm optimization (MOPSO) algorithm, all the relevant parameters were optimized, and the optimal solution was selected by innovatively using the Critic weight method, addressing subjective biases inherent in previous studies. The optimized structural parameters notably enhanced the Π-type BTMS cooling performance, including the reductions in maximum battery pack temperature, temperature differentials, and average temperature by 11.11%, 50.74%, and 7.41%, respectively.

Key words： lithium-ion battery Π-type air-cooled BTMS MOPSO Pareto front Critic weighting method

Published: 10 January 2026 Online: 2026-01-09

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TM911

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	YANG Han

Cite this article:

YANG Han. MOPSO-based Optimization Design of the Structural Parameters of Π-type Air-cooled BTMS[J]. Materials Reports, 2026, 40(1): 24090090-9.

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https://www.mater-rep.com/EN/10.11896/cldb.24090090 OR https://www.mater-rep.com/EN/Y2026/V40/I1/24090090

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