考虑车内振动的动力总成悬置系统多目标优化  

Multi-objective Optimization of Powertrain Mount System Concurrently Considering Energy Decoupling and Vehicle Vibration

作　　者：陈剑[1] 史韦意[1] 蒋丰鑫[1] 曾维俊[1] 沈忠亮[1] 汪一峰[1] 

机构地区：[1]合肥工业大学,合肥230009

出　　处：《中国机械工程》2015年第8期1129-1135,共7页China Mechanical Engineering

摘　　要：以实际工况下的测试数据为基础,建立了简化的车内振动传递路径分析模型。在此基础上,以发动机悬置刚度为设计变量,综合考虑悬置系统能量解耦和车内振动,建立了基于灰色粒子群优化算法的多目标优化模型。并以某型卡车为例,进行了多目标优化求解。实验和优化结果表明,在得到较好能量解耦的同时,降低了车内振动,实现了能量解耦和车内低振动的优化匹配。Simplified vehicle vibration TPA model was established based on the actual transfer path test datum. On the basis of that,multi-objective optimization model of powertrain mount system was established based on GPSO algorithm with considering energy decoupling and vehicle vibration, mounting stiffness parameters were taken as design variables. Taking a truck for example, a multi-ob- jective optimization solution was conducted. The test and optimization results show that the optimiza- tion method can get better energy decoupling and lower vehicle vibration,while achieving the optimal matching of energy decoupling and cars and low vibration.

关 键 词：动力总成悬置系统 传递路径分析 灰色粒群算法 蒙特卡罗法 

分 类 号：U463.33[机械工程—车辆工程]