摘 要：为保证轻型商用车在兼顾疲劳耐久的同时能改善其应力水平，本文以某轻型商用车下控制臂为研究对象，基于整车虚拟试验场(VPG)建立其有限元模型，并搭建整车动力学模型以验证虚拟路面试验精度。在此基础上，提取下控制臂的动态载荷谱，并综合运用最优拉丁超立方抽样、响应面代理模型与NSGA-Ⅱ,对其进行疲劳寿命多目标优化。结果显示：优化后下控制臂的最大应力降低了4.02%,最低疲劳循环次数提升了27.33%,实现了良好的疲劳寿命多目标优化效果。
关键词：虚拟试验场；疲劳寿命；多目标优化；下控制臂
中图分类号：U463.33 文献标志码：A DOI：10.15917/j.cnki.1006-3331.2025.06.007
Multi-objective Optimization of a Light Commercial Vehicle Control Arm Based on VPG
ZENG Shupeng,CHEN Lunyang,YANG Chao
Abstract: To ensure the stress level of a light commercial vehicle's lower control arm while maintaining its fatigue durability,this paper takes the lower control arm of a light commercial vehicle as the research object,employs a vehicle virtual proving ground(VPG)to construct a finite element model,and establishes a multi-body dynamics model to validate the virtual road testing accuracy.Based on this,the process extracts the dynamic load spectrum of the control arm.It conducts fatigue life multi-objective optimization and integrates optimal Latin hypercube sampling,a response surface surrogate model,and NSGA-Ⅱ.Results show that the optimized control arm exhibits a 4.02%reduction in maximum stress and a 27.33% increase in minimum fatigue life cycles,demontrating effective multi-objective fatigue life enhancement.
Key words: virtual proving ground; fatigue life; multi-objective optimization; lower control arm
