Optimization of Cooling Structure for High Power Battery Pack Based on Grey Correlation Algorithm of Orthogonal Model

YANG Jianqing; LUO Renhong; LI Xiaoqing; WANG Zhifeng

Vehicle Engine ›› 2022, Vol. 0 ›› Issue (4) : 57-62.

YANG Jianqing¹,LUO Renhong²,LI Xiaoqing³,WANG Zhifeng⁴

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Abstract

For the multi-factor parameterization of cooling structure for liquid-cooled power battery pack, the electric-thermal coupling simulation model of a cell was built, and the effectiveness was verified by the bench test. Then the four-factor and four-level orthogonal test was carried out to calculate the four key parameters of coolant flow rate, coolant temperature, and the width and height of cold pipe, which significantly affected the performance of liquid-cooled battery pack. The fuzzy grey relational analysis method based on the orthogonal model was further used to explore the weight of the influence of four-factor on the highest temperature and maximum temperature difference of battery module. The results show that the temperature of coolant has the greatest effect on the maximum temperature of battery module, followed by the coolant velocity, and the pipe width has the least effect. The coolant velocity has the greatest effect on the maximum temperature difference of battery module. The optimized combination scheme is obtained through the analysis of results, and the optimized scheme can decrease the maximum temperature of battery pack to 32.8 ℃, control the maximum temperature difference within 3.3 ℃, and obtain the best cooling performance.

Key words

power battery pack / cooling performance / fuzzy grey correlation / orthogonal test / electric-thermal coupling model

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YANG Jianqing,LUO Renhong,LI Xiaoqing,WANG Zhifeng. Optimization of Cooling Structure for High Power Battery Pack Based on Grey Correlation Algorithm of Orthogonal Model[J]. Vehicle Engine. 2022, 0(4): 57-62