基于模糊灰色理论的动力锂电池散热影响因子关联度分析  

Correlation Analysis on Heat Dissipation Influence Factors for Power Lithiumion Battery Based on Fuzzy-grey Theory

作　　者：金标[1] 刘方方[1,2] 张静秋[1] 安治文 

机构地区：[1]广东科技学院机电工程系,广东东莞523000 [2]华南理工大学机械与汽车工程学院,广州510641

出　　处：《机械设计与研究》2017年第2期176-179,共4页Machine Design And Research

基　　金：广东省青年创新人才类自然科学(2015KQNCX190);广东科技学院自然科学类科研资助项目(GKY-2015KYYB-8)

摘　　要：为精确地分析各散热影响因子对方形动力锂电池热行为的影响程度,对比分析了放电工况下电池表面温度场模拟和试验结果,并基于仿真结果及模糊灰色关联分析模型计算分析了电池散热影响因子的关联度。结果表明热仿真模型正确可信,热影响因子对电池散热能力影响顺序为:放电电流(关联度0.512)、对流换热系数(关联度0.312)、环境温度(关联度0.303)、热辐射系数(关联度0.268)。To analyze accurately the influence degree of influence factors on thermal behavior of a rectangular lithiumion battery, the temperature field results of the test and numerical simulation on its surface are analyzed under discharge condition. Meantime, correlation of heat dissipation influence factors is calculated and analyzed based on the simulation results and model of fuzzy grey correlation analysis. Results show that thermal simulation model is correct and reliable, and the most significant influence factor on the battery cooling capacity is the discharge current with influence factor of 0. 512, secondly the influence factors are the convective heat-transfer coefficient and the ambient temperature with influence factor of 0. 312 and 0. 303 respectively, and the minimum influence factor is the emissivity with influence factor of 0. 268.

关 键 词：生热模型 有限元法 散热影响因子 模糊灰色关联度 

分 类 号：U463.6[机械工程—车辆工程]