可再生能源2025，Vol.43Issue(10)：1312-1320,9.
储能锂电池组风冷散热性能仿真优化
Simulation and optimization of air-cooled heat dissipation structure for energy storage lithium battery packs
摘要
Abstract
Currently,lithium-ion battery is used in photovoltaic energy storage system because of its high energy density,long cycle life and so on,but its operating temperature and temperature uniformity will significantly affect the working performance and life of the battery.Therefore,strengthening the heat dissipation of lithium batteries and improving the temperature uniformity of lithium batteries are the focus of current research.In this paper,a square lithium iron phosphate battery with a capacity of 32 Ah was selected as the research object.Based on the heat production and heat transfer mechanism of lithium-ion battery,the thermal simulation model of single lithium battery was established.The accuracy and reliability of the model were verified by comparing the simulation results with the experimental data.On this basis,the sensitivity of heat dissipation performance of battery pack to the change of different single factors and the influence of interaction of multiple factors on air cooling heat dissipation performance of battery pack were further explored.Finally,the optimal air-cooled heat dissipation structure and operating parameters were obtained by orthogonal simulation optimization design.The results show that air cooling heat dissipation performance of lithium-ion battery pack is the best when the flow channel structure is type Ⅰ,and the battery arrangement spacing is 9 mm,and the inlet wind speed is 0.5 m/s.After optimization,the maximum temperature of single battery is reduced by 1.1℃,and the average temperature difference of the whole lithium-ion battery pack is 3.5℃.关键词
锂离子电池组/强制风冷/散热结构/多目标优化/正交设计Key words
lithium-ion battery pack/forced air cooling/heat dissipation structure/multi-objective optimization/orthogonal design分类
能源科技引用本文复制引用
孔琴,赵斌,周鹏程,陈嘉祥..储能锂电池组风冷散热性能仿真优化[J].可再生能源,2025,43(10):1312-1320,9.基金项目
湖南省教育厅重点项目(22A0217) （22A0217）
湖南省自然科学基金(2023JJ30048). （2023JJ30048）
