史振盛1，张强1，闫云乔2，宋云平2

1.山东大学能源与动力工程学院;2.福田雷沃国际重工股份有限公司

摘要：动力总成作为工程机械的主要激励源，其悬置系统的设计水平直接影响到整机的隔振性能。以能量解耦率为目标函数的动力总成悬置系统优化设计是一个具有多个局部最优解的问题，因此需要运用全局搜索能量强的遗传算法进行求解。与采用传统优化算法相比，遗传算法可以求得全局最优解，并且可以设计出各自由度方向上均具有较高解耦率的方案。

关键词： 动力总成悬置系统； 解耦； 遗传算法； 序列二次规划算法

Abstract: Powertrain is one of the main sources of construction machinery vibration. The design of powertrain mounting system has a direct influence on vehicle NVH performance. Taking the energy distribution target as an object function, optimization of powertrain mounting system has many local optimal solutions. Genetic algorithm is thus adopted in optimal design, because it has a capability of global search. Compared to conventional optimization methods, genetic algorithm could obtain a globally optimal solution. Application to some practical design shows that genetic algorithm can be used to decouple the powetrain mounting system effectively.

Key words: Powertrain Mounting System；Decouple；Genetic Algorithm；Sequential Quadratic Programming