Abstract：Based on the structure of power battery liquid cooling plate, the structure of the liquid cooling plate was optimized to realize uniform mass flow distribution. Through the Isight optimization platform integrated modeling software of CATIA and the computational fluid dynamics simulation software of STARCCM+, the optimal Latin hypercube method in the experimental design was used to generate sample points in the design space. On the basis, the response surface approximation model of each flow channel mass flow value was established. For the target, the combined optimization strategy of multiisland genetic algorithm and sequential quadratic programming method was used to optimize the response surface model for obtaining the optimal design. The joint model of liquidcooling plate battery pack was established for thermal simulation verification, which was used to verify the established optimization model. The results show that the error between the mass flow distribution of each flow channel of the liquid cooling plate and the target mass flow value is less than 5%, and the maximum temperature of the optimized battery module is reduced by about 2 ℃.
范蓉蓉， 李文浩， 刘志恩， 裴书卿， 袁牧. 基于Isight的动力电池液冷板流道结构优化设计[J]. 江苏大学学报（自然科学版）, 2024, 45(6): 660-665.
FAN Rongrong, LI Wenhao, LIU Zhien, PEI Shuqing, YUAN Mu. Optimization design of flow channel structure of power battery liquid cooling plate based on Isight[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2024, 45(6): 660-665.
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