电力科技与环保2025，Vol.41Issue(2)：206-216,11.DOI:10.19944/j.eptep.1674-8069.2025.02.004
基于液态金属冷却的电池液冷方案设计及参数多目标优化
Liquid cooling model design and multi-objective optimization of battery parameters based on liquid metal cooling
摘要
Abstract
[Objective]To address the heat generation issue of lithium batteries under high-rate discharge,a liquid cooling scheme based on liquid metal was designed,aiming to enhance thermal performance and system stability through multi-objective optimization.[Methods]A single-inlet double-outlet cooling loop using gallium-based liquid metalwas proposed.Numerical simulations via Fluent were conducted to analyze the effects of coolant velocity,channelheight,branch width increment,and inclination angle on thermal performance.Orthogonal experiments and the NSGA-II multi-objective genetic algorithm were employed for parameter screening and optimization.[Results]The optimalparameters were determined as coolant velocity 0.42 m/s,branch width increment 0.13 mm,inclination angle 87.38°,and channel height 5.76 mm.The optimized system achieved a maximum temperature of 312.66 K,temperature difference of 11.66 K,and pressure drop of 0.712 kPa.Compared to the initial design,the maximum temperature and temperature difference decreased by 0.53%and 8.04%,respectively,with a slight increase in pressure drop.[Conclusion]Liquid metal cooling significantly improves heat dissipation efficiency,with velocity and channel height being dominant factors.The NSGA-II algorithm effectively balances thermal performance and pressure drop,offering a practical solution for high-rate battery thermal management..关键词
液态金属/液冷/高倍率放电/正交实验/多目标优化Key words
liquid metal/liquid cooling/high rate discharge/orthogonal design/multi-objective optimization分类
能源与动力引用本文复制引用
杨利伟,马凯伦,周小明..基于液态金属冷却的电池液冷方案设计及参数多目标优化[J].电力科技与环保,2025,41(2):206-216,11.基金项目
国家自然科学基金项目(12372261) （12372261）
国家能源集团科技项目(DY2023FK078) （DY2023FK078）
中国科学院微重力重点实验室课题(NML202305) （NML202305）
