摘要
以提高车辆性能为目标,提出一种新型三步式电磁馈能减振器参数匹配方法。首先,利用Simulink建立含有馈能减振器的二自由度车辆振动模型,分析馈能减振器的惯性力和阻尼特性对车辆平顺性和操作稳定性的影响,并利用遗传算法计算出馈能减振器在线性阻尼区的最优阻尼系数;其次,根据概率统计法匹配出馈能减振器非线性阻尼特性区间的恒阻尼力;第三,结合传统电机的基速比,得到馈能减振器的阻尼衰减区间特性,由此确定馈能电机的额定功率等重要参数;最后,通过仿真验证此方法的有效性。
A systematic method is proposed to determine the motor parameters of a regenerative suspension. A 2-DOF 1/4 vehicle simulation model with regenerative suspension is constructed. The effects of the inertia force and damping character on ride comfort and handling stability are analyzed. A genetic algorithm is adopted to calculate the optimal damping coefficient of the regenerative suspension within its linear range. Then probability statistics is used to determine the constant damping force of the suspension over nonlinear damping range. Finally, the motor rated power is derived based on the motor speed ratio.The effectiveness of the systematic parameter selection approach is validated through simulation.
作者
崔丹丹
苟春梅
吴民
Cui Dandan;Gou Chunmei;Wu Min(School of Automotive Engineering,Xinjiang Vocational ＆ Technical College of Communications Urumqi,Xinjiang,831401,China)
出处
《小型内燃机与车辆技术》
2018年第5期61-67,共7页
Small Internal Combustion Engine and Vehicle Technique
基金
新疆交通职业技术学院科研项目(J-18-04)
关键词
电磁馈能减振器
惯性力
遗传算法
参数匹配
Regenerative suspension
Inertia force
Genetic algorithm
Selection of the motor parameters
