农业装备与车辆工程2026，Vol.64Issue(8)：44-50,7.DOI:10.3969/j.issn.1673-3142.2026.08.007
基于多目标优化的商用车电池框架轻量化设计
Lightweight design of commercial vehicle battery framework based on multi-objective optimization
摘要
Abstract
A commercial vehicle battery frame was taken as the research object,and the study was aimed at enhancing the goal orientation of the lightweight design and development process,shortening the product development cycle,and reducing R&D costs.The accuracy of the finite element model was verified through real-vehicle modal tests.Based on the simulation results,combined with sensitivity analysis and interaction effect analysis,key components were screened as optimization variables.Latin hypercube sampling was adopted to generate design space sample points,with OptiStruct used as the solver to calculate the response values.Based on the Isight platform,a multi-constraint,multi-objective optimization mathematical model was constructed with the objectives of minimizing mass,maximizing the first-order natural frequency,and minimizing stress.By comparing multiple approximation models,the radial basis function(RBF)was determined to be the optimal approximation model.The NSGA-II algorithm was introduced for lightweight optimization,and finally the optimal solution was obtained from the Pareto set.The results showed that the optimized battery frame met the safety requirements under all operating conditions,with the mass reduced by 4.1%,the maximum stress decreased by 9.5%,and the first-order natural frequency slightly reduced,thereby achieving the dual goals of lightweighting and static strength improvement.关键词
电池框架/试验设计/近似模型/多目标优化/NSGA-ⅡKey words
battery frame/experimental design/approximate model/multi-objective optimization/NSGA-II分类
交通工程引用本文复制引用
唐宽祥,周帅,范志先,冯昊,李伟..基于多目标优化的商用车电池框架轻量化设计[J].农业装备与车辆工程,2026,64(8):44-50,7.基金项目
山东省重大专项项目"新能源商用车高效电驱动系统开发与应用"(2024CXGC010301) （2024CXGC010301）
济南市科技计划项目"基于大模型的新能源商用车故障检测诊断多源异构生态平台"(202527027) （202527027）
