基于混合遗传算法的汽车动力总成悬置系统多目标优化

Multi-objective optimization of powertrain mounting system based on hybrid genetic algorithm

简述了动力总成悬置系统优化的能量解耦法和最小传递率优化方法。在此基础上,针对动力总成悬置系统的6自由度模型,使用一种新的并列分层多目标优化混合遗传算法,运用MATLAB对动力总成悬置的刚度进行了优化。结果表明,优化算法能够有效地完成优化工作并且可以使悬置系统的能量解耦率和传递率有明显的提高。

Energy decoupling and minimizing transmissibility rate methods for optimization of powertrain mounting system were introduced in brief. Based on them, for 6-degree-of-freedom model of powertrain mounting system, a new hybrid Genetic Algorithm which mixed parallel selection method and hierarchical selection method was applied to optimize on MATLAB. As a result, the task of optimization can be done effectively using the optimization algorithm. Meanwhile, the energy decoupling rate and vibration transmitting rate of pitch mode and bounce mode are improved.