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基于正交试验的液冷型高功率动力电池包冷却结构参数优化 被引量:4

Optimization of cooling structure parameters of liquid-cooled high-power power battery pack based on orthogonal test
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摘要 以提升液冷型高功率电池包放电散热能力为研究目标,对电池模组进行参数化结构探究。首先建立电芯电-热耦合计算模型并验证了模型的可靠性,在电芯电-热耦合计算模型基础上完成电池模组仿真模型的搭建。接着,以冷却液流速V、温度T、冷管宽度W和高度H为优化变量,设计了四因素四水平正交试验,运用极差分析法对正交试验进行影响权重分析,并基于影响权重分析得到两组较优组合方案。分析结果显示:T因素和V因素分别为电池模组T_(max)和△T的最大影响因素。通过对比电池模组综合性能以及电池模组表面温度占比情况,最终确定较优方案Ⅰ为全组最佳组合方案,其最高温度下降到44.8℃,最大温差为4.8℃,散热效果最佳。 In order to improve the discharge and heat dissipation capacity of liquid-cooled high-power battery packs,the parametric structure of battery modules is explored.Firstly,the electric-thermal coupling calculation model of the cell is established and the reliability of the model is verified,and the calculation model of the battery module is completed on the basis of the electric-thermal coupling calculation model of the cell.Then,a four-factor and four-level orthogonal test is designed with the cooling fluid velocity V,temperature T,cold pipe width W and height H,and the influence weight of the orthogonal test is analyzed by using the range analysis method.The analysis results show that the T factor and the V factor are the biggest influencing factors of the T_(max) and△T of the battery module respectively,and two groups of optimal combination schemes are obtained based on the influence weight analysis.By comparing the overall performance of the battery module and the proportion of the surface temperature of the battery module,the optimal solutionⅠis finally determined as the best combination solution for the whole group,and it has the best heat dissipation effect.
作者 孙丽颖 方超 Sun Liying;Fang Chao(Transportation College,Zhejiang Industry Polytechnic College, Zhejiang Shaoxing, 312000, China;Zhejiang Geely Automobile Research Institute Co., Ltd., Zhejiang Hangzhou, 315336, China)
出处 《机械设计与制造工程》 2022年第5期25-30,共6页 Machine Design and Manufacturing Engineering
基金 浙江工业职业技术学院2022高层次教学建设培育项目。
关键词 动力电池包 冷却性能 电-热耦合模型 正交试验 极差分析法 battery pack cooling performance electric-thermal coupling model orthogonal optimization range analysis
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