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基于正交模型灰色关联算法的高功率动力电池包冷却结构优化研究 被引量:1

Optimization of Cooling Structure for High Power Battery Pack Based on Grey Correlation Algorithm of Orthogonal Model
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摘要 针对液冷型动力电池包冷却结构多因素参数化研究,搭建电芯电-热耦合仿真模型,通过台架试验验证了电芯仿真计算的有效性。对显著影响液冷型电池包性能的冷却液流速、冷却液温度及冷管宽度和高度4个关键参数进行四因素四水平正交试验计算,基于正交模型的模糊灰色关联分析法探究四因素对电池模组最高温度和最大温差的影响权重。结果显示:对于电池模组最高温度,冷却液的温度对其影响最大,冷却液流速次之,冷却管道宽度影响最小;而对于电池模组最大温差,冷却液流速对其影响最大。通过结果分析得到优化组合方案,计算得到优化方案能使得电池组最高温度下降到32.8℃,最大温差控制在3.3℃内,冷却性能表现最佳。 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.
作者 杨建青 罗仁宏 李小庆 王之丰 YANG Jianqing;LUO Renhong;LI Xiaoqing;WANG Zhifeng(Zhejiang Industry Polytechnic College,Shaoxing 312000,China;Wuhan International Culture University,Wuhan 438401,China;Huazhong University of Science and Technology,Wuhan 430000,China;Zhejiang Geely Automobile Research Institute Co.,Ltd.,Hangzhou 315336,China)
出处 《车用发动机》 北大核心 2022年第4期57-62,84,共7页 Vehicle Engine
基金 国家自然科学基金项目(51105283)。
关键词 动力电池包 冷却性能 电-热耦合模型 正交试验 模糊灰色关联 power battery pack cooling performance fuzzy grey correlation orthogonal test electric-thermal coupling model
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