轻质多材料动力电池包箱体选材与优化  

Multi-material selection and optimization of lightweight battery pack enclosure

作　　者：兰凤崇[1,2] 陈元 周云郊[1,2] 陈吉清[1,2] LAN Feng-chong;CHEN Yuan;ZHOU Yun-jiao;CHEN Ji-qing(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China;Guangdong Provincial Key Laboratory of Automotive Engineering,Guangzhou 510640,China)

机构地区：[1]华南理工大学机械与汽车工程学院,广州510640 [2]广东省汽车工程重点实验室,广州510640

出　　处：《吉林大学学报（工学版）》2020年第4期1227-1234,共8页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家重点研发计划项目(2018YFB0104100)。

摘　　要：通过多种材料并用与结构合理设计的途径实现了动力电池包箱体的结构轻量化。首先,建立了系统多材料选材与优化流程方法,基于水平分析的试验设计并利用极差与方差分析选择多材料;然后,采用RBF近似模型拟合,MIGA遗传算法优化系统结构。最后对某实例车型动力电池包箱体改进设计。结果表明:多材料箱体刚度、模态提升显著,并减重8.72 kg,相比原结构减重率达47.3%,验证了系统多材料选材与优化方法的有效性,可为提升电池包箱体结构可靠性与轻量化水平提供参考。The battery cells,modules,electrical components and management systems are arranged in the limited space of a battery pack enclosure,which should be safely operated under various complex loading conditions with high performance and reliability. It is essential to establish multi-material structural and optimization method to achieve reliable structures and lightweight. Firstly,based on the experimental design of level analysis,multi-materials are selected by using range and variance analyses. Then the RBF approximation model and MIGA genetic algorithm are applied to optimize the structures. Taking improved design of battery pack enclosure as an example,results indicate that the stiffness and modal are improved greatly and weight reduction is 8.72 kg,about 47.3% reduction of the original structure weight. The validity of multi-material structure and optimization design are confirmed and the proposed approach can provide reference for design and optimization of battery pack enclosure.

关 键 词：车辆工程 轻量化 多材料设计 动力电池包箱体 多目标优化 

分 类 号：U469.72[机械工程—车辆工程]