基于遗传算法的某微型纯电动汽车平顺性优化  

Combined Optimization of Electric Vehicle Ride Comfort on Genetic Algorithm

作　　者：金明[1] 周兵[1] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082

出　　处：《计算机仿真》2015年第2期179-182,240,共5页Computer Simulation

基　　金：国家自然科学基金(51275162);吉林大学汽车仿真与控制国家重点实验室开放基金(20121109)

摘　　要：针对某微型纯电动汽车在C级路面行驶时座椅处振动较大、乘员有不舒适感等平顺性问题,建立了整车多体动力学模型,在C级路面下对车辆平顺性进行了仿真,结果与实车行驶时驾驶员的主观感觉基本一致,验证了所建模型的准确性,以质心总加权加速度均方根值最小为优化目标,悬架刚度和阻尼为设计变量,最后利用遗传算法联合ADAMS和MATLAB进行了优化仿真。联合仿真结果表明,优化后的整车平顺性有明显改善,为实际优化改进提供依据。A multi - body dynamics model car model was built for improving the poor ride comfort of a tiny pure electric vehicle and simulations on ride comfort are conducted under conditions of C - grade road, which is identical with the driver＇s subjective evaluation. Then a combined optimization to minimize the total weighted acceleration root mean square was conducted on suspension spring and shock absorber by using genetic algorithm. The results show that the optimized vehicle＇s ride comfort is improved significantly and the optimization can provide the basis for practi- cal improvement.

关 键 词：纯电动汽车 遗传算法 悬架 联合优化 

分 类 号：TK464[动力工程及工程热物理—动力机械及工程]