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电动商用车电池框结构优化

翟帅 任爱华 孙章栋 赵仕烜

机电工程技术2025,Vol.54Issue(10):65-69,5.
机电工程技术2025,Vol.54Issue(10):65-69,5.DOI:10.3969/j.issn.1009-9492.2025.10.013

电动商用车电池框结构优化

Electric Commercial Vehicle Battery Frame Structure Optimization

翟帅 1任爱华 1孙章栋 1赵仕烜1

作者信息

  • 1. 湖北汽车工业学院机械工程学院,湖北 十堰 442002
  • 折叠

摘要

Abstract

In order to improve the structural safety of the backmounted battery frame,the structural optimization design of the backmounted battery frame of a certain electric commercial vehicle is carried out.The static and dynamic characteristics of the battery frame are analyzed,and it is found that the bending stiffness of the battery frame is low and had adverse effects on the static strength and mode.The sensitivity analysis is used to select the vertical support rod as the rigidity-sensitive component of the battery frame.Then,the section width and length of the vertical support rod are taken as the optimization variables,the quality is taken as the optimization objective,and the optimization model is established with the section size,maximum stress and maximum displacement as the constraint conditions.Then,the response surface experiment is established to obtain the initial sample points,and the established response surface model is fitted and analyzed to judge the accuracy of the model.The optimization model is established by using the multi-objective optimization algorithm to obtain the optimal solution set of its cross-section size,and the optimization results are analyzed and verified.The bending stiffness of the battery frame is increased by 74.36%,the stress under emergency braking condition is reduced by 16.55%,and the first-order mode frequency is increased by 41.69%.The optimization effect is significant,and the strength of the battery frame still meets the safety requirements.

关键词

动力电池框/有限元/强度分析/尺寸优化/多目标优化

Key words

battery frame/finite element/strength analysis/size optimization/multi-objective optimization

分类

交通运输

引用本文复制引用

翟帅,任爱华,孙章栋,赵仕烜..电动商用车电池框结构优化[J].机电工程技术,2025,54(10):65-69,5.

基金项目

湖北省高等学校优秀中青年科技创新团队计划项目(T2022027) (T2022027)

机电工程技术

1009-9492

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