基于遗传算法的动力总成悬置系统优化设计  

Optimization Design of Power-plant Mounting System Based on Genetic Algorithm

作　　者：方文华[1] 刘捷[1] 陈超[1] 伊黎[1] 彭友余[1] Fang Wenhua;Liu Jie;Chen Chao;Yi Li;Peng Youyu(North Vehicle Institution of China,Beijing 100072,China)

机构地区：[1]中国北方车辆研究所,北京市100072

出　　处：《农业装备与车辆工程》2022年第4期84-89,共6页Agricultural Equipment & Vehicle Engineering

摘　　要：建立了动力总成悬置系统多目标优化设计数学模型,应用遗传算法对该模型进行多工况优化设计,得出一组优化方案,使得该动力总成悬置系统各性能指标在多个工况下都有显著改善,并满足极限工况工作要求,论证了优化方案的可行性。A new optimization mathematical model of power-plant mounting system based on multi-target is established.After optimization,each performance index of mounting system is improved significantly.In addition,the dynamic response in the limiting conditions is checked to verify the feasibility of the optimization design.

关 键 词：动力总成 悬置系统 优化设计 数学模型 遗传算法 

分 类 号：U463.3[机械工程—车辆工程]