基于遗传模拟退火算法的汽车动力总成悬置系统优化设计  

Vibration isolation optimization of a vehicle powertrain mounting system based on simulated annealing and genetic algorithm

作　　者：严小俊[1,2] 蒋伟康[2] 曹诚[1] 

机构地区：[1]上海大众汽车有限公司,上海201805 [2]上海交通大学机械与动力工程学院,上海200240

出　　处：《振动与冲击》2014年第23期155-159,共5页Journal of Vibration and Shock

摘　　要：针对某轿车在发动机低速工况下,动力总成悬置系统隔振效果不足,以悬置系统的固有频率配置和系统的解耦率为综合优化目标,应用遗传模拟退火算法对悬置刚度参数进行了优化设计,优化后的悬置系统固有频率配置更加合理,主要方向的解耦率增大。整车试验结果表明,优化后的悬置系统隔振效果满足了设计要求。Aiming at vibration isolation effect of one vehicle powertrain mounting system was insufficient,its natural frequencies and the decouple rate of the system were taken as integrated optimal objectives,and the simulated annealing and genetic algorithm（ SAGA） were used to optimize the mounting stiffness parameters. The optimized results showed that its natural frequency deployment is more reasonable and the decouple rate in the major vibration direction increases. The vehicle vibration isolation test results showed that the vibration isolation effects of the optimized mounting system meet design requirements.

关 键 词：动力总成 悬置系统 隔振 解耦 优化设计 遗传模拟退火算法 

分 类 号：TB53[理学—物理] U461[理学—声学]