Multi-objective optimization of liquid cooling plate partially filled with porous medium for thermal management of lithium-ion battery pack by RSM, NSGA-II and TOPSIS

Zhiao Fu, Wei Zuo, Qingqing Li, Kun Zhou, Yuhan Huang and Yawei Li

Energy, 2025, vol. 318, issue C

Abstract: In order to address the issue about the multi-objective optimization of liquid cooling plate partially filled with porous medium for thermal management of lithium-ion battery pack, in this work, response surface methodology (RSM), non-dominated sorting genetic algorithm II (NSGA-II) and technique for order preference by similarity to an ideal solution (TOPSIS) are combined. Firstly, the porosity (γ), filling ratio (BFR) and inlet velocity (vin) are selected as the design variables, and the maximum temperature of cell (Tb,max), maximum temperature difference of cell (ΔTb,max) and pressure drop of liquid cooling plate (Δp) are chosen as objection functions. Subsequently, the Box-Behnken design is utilized to arrange numerical investigations. With the obtained results, the regression models are constructed by RSM. Furthermore, with the regression models, the NSGA-II algorithm is used to obtain Pareto frontier solutions. Finally, TOPSIS is used to select the optimal solution from the Pareto frontier solutions. The optimal Tb,max, ΔTb,max, Δp are 31.29 °C, 4.97 °C and 30029.89 Pa, respectively, and the corresponding design variables γ, BFR and vin are 0.87, 80.25 % and 0.07 m/s, respectively.

Keywords: Multi-objective optimization; Liquid cooling plate; Partially filled with porous medium; Thermal management; Lithium-ion battery pack (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:318:y:2025:i:c:s0360544225004955

DOI: 10.1016/j.energy.2025.134853

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