分布式驱动电动汽车垂向动力学特性研究及悬架参数优化方法  

Research on Vertical Dynamic Characteristics of Distributed Electric Wheel Drive and Parameter Optimization Method

作　　者：陈辛波[1,2] 王威[1] 

机构地区：[1]同济大学汽车学院,上海201804 [2]同济大学新能源汽车工程中心,上海201804

出　　处：《机电一体化》2014年第6期16-21,共6页Mechatronics

基　　金：国家自然科学基金项目(51375344);国家高技术研究发展计划(863计划)项目(2012AA110701)

摘　　要：为研究分布式轮边驱动系统垂向动力学特性,结合具体的悬架结构形式建立了1/4悬架动力学模型,并推导了其动力学方程,结合实际参数进行仿真计算,验证了分布式驱动悬架系统簧下质量的负效应。同时,为了从参数优化设计的角度来改善分布式驱动悬架系统的垂向动力学性能,使用多目标遗传算法得到了悬架K&C系数的帕雷托最优状态(Pareto front),并根据实际需求选取了合适的参数对。计算结果表明,优化后的悬架系统有效地改善了车辆的平顺性而没有对接地性造成过大的负面影响。In order to research the vertical dynamic characteristics of distributed electric wheel drive system, a 1/4 suspension model considering specific suspension structure was proposed and differential equations of motion was deduced. The simulation with specific parameter verified the negative effect of the unsprung mass in distributed wheel drive system. In order to improve the vertical dynamic performance from the aspect of parameter optimization, multi- objective genetic algorithms was used to reach the Pareto front of K＆C parameters. According to the actual demand, suitable parameters were selected and the results of simulation show that, the suspension after optimization has better performance in ride comfort without having much negative effect in ground adhesion.

关 键 词：分布式驱动 平顺性 接地性 帕雷托最优 遗传算法 

分 类 号：U469.72[机械工程—车辆工程] U463.33[交通运输工程—载运工具运用工程]