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作 者:范蓉蓉 李文浩 刘志恩[1] 裴书卿 袁牧 FAN Rongrong;LI Wenhao;LIU Zhien;PEI Shuqing;YUAN Mu(Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan University of Technology,Wuhan,Hubei 430070,China)
机构地区:[1]武汉理工大学现代汽车零部件技术湖北省重点实验室,湖北武汉430070
出 处:《江苏大学学报(自然科学版)》2024年第6期660-665,731,共7页Journal of Jiangsu University:Natural Science Edition
基 金:现代汽车零部件技术湖北省重点实验室开放基金资助项目(XDQCKF2021008)。
摘 要:基于某动力电池液冷板结构,以质量流量分配均匀为目标,对液冷板进行结构优化.通过Isight优化平台集成建模软件CATIA和计算流体动力学仿真软件STAR-CCM+,采用试验设计中的最优拉丁超立方方法在设计空间中生成样本点,在此基础上,建立各流道质量流量的响应面近似模型.针对目标,采用多岛遗传算法与序列二次规划法相结合的组合优化策略,对响应面模型进行优化,得到最优设计.建立液冷板电池组联合模型进行热仿真验证,验证了所建立的优化模型的有效性.结果表明:液冷板各流道质量流量分配与目标质量流量误差均小于5%,优化后的电池模组最高温度降低了约2℃.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 STAR-CCM+,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 multi-island genetic algorithm and sequential quadratic programming method was used to optimize the response surface model for obtaining the optimal design.The joint model of liquid-cooling 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 ℃.
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