摘要
针对难以用传统单目标方法开发综合性能好的汽车的问题,建立整车刚柔耦合多体动力学模型,用车身垂向加速度、前后轮荷标准差和横摆角速度超调量等3个参数表征乘坐舒适性、行驶安全性和操纵稳定性等3方面性能,并采用多目标遗传算法进行优化.从优化得到的一组Pareto解集中选取一个最优解,有效提高汽车的若干性能,证明该方法能有效优化整车动力学性能.
As to the issue that it is difficult to develop a vehicle with good comprehensive performance by the traditional single-objective method, a rigid flexible coupling multi-body dynamics model is built for a full vehicle, and the multi-objective genetic algorithm is used to perform optimization considering ride comfort, driving safety and handling stability, which are characterized by vertical acceleration of vehicle body, standard deviation of front/rear wheel load and yaw rate overshoot respectively. After optimization, a Pareto set is obtained and an optimal solution is chosen from it. The solution can improve several performances, which shows that the method is effective for full vehicle dynamics performance optimization.
出处
《计算机辅助工程》
2013年第5期31-36,共6页
Computer Aided Engineering
基金
国家重点基础研究发展计划("九七三"计划)(2011CB71120)
上海市科学技术委员会科研计划(11DZ1120902)
关键词
整车仿真
遗传算法
多体动力学
乘坐舒适性
行驶安全性
操纵稳定性
full vehicle simulation
genetic algorithm
multi-body dynamics
ride comfort
drivingsafety
handling stability
作者简介
余家皓（1988-），男，广东广州人，硕士研究生，研究方向为整车动力学仿真与优化方向，（E-mail）298225513@qq．com
吴光强（1965-），男，河北秦皇岛人，教授，博导，博士，研究方向为汽车先进设计与仿真、汽车多体系统动力学与非线性控制等，（E-mail）wuguangqiang@tongji．edu．cn
