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应用多目标粒子群算法的车辆传动系参数优化仿真研究

郭谨玮 刘昱 徐月云 王金刚 李孟良 贺可勋

郭谨玮, 刘昱, 徐月云, 王金刚, 李孟良, 贺可勋. 应用多目标粒子群算法的车辆传动系参数优化仿真研究[J]. 机械科学与技术, 2018, 37(4): 629-634. doi: 10.13433/j.cnki.1003-8728.2018.0421
引用本文: 郭谨玮, 刘昱, 徐月云, 王金刚, 李孟良, 贺可勋. 应用多目标粒子群算法的车辆传动系参数优化仿真研究[J]. 机械科学与技术, 2018, 37(4): 629-634. doi: 10.13433/j.cnki.1003-8728.2018.0421
Guo Jinwei, Liu Yu, Xu Yueyun, Wang Jin'gang, Li Mengliang, He Kexun. Parameter Optimization and Simulation System of Vehicle Transmission System Using Multi-objective Particle Swarm Optimization Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(4): 629-634. doi: 10.13433/j.cnki.1003-8728.2018.0421
Citation: Guo Jinwei, Liu Yu, Xu Yueyun, Wang Jin'gang, Li Mengliang, He Kexun. Parameter Optimization and Simulation System of Vehicle Transmission System Using Multi-objective Particle Swarm Optimization Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(4): 629-634. doi: 10.13433/j.cnki.1003-8728.2018.0421

应用多目标粒子群算法的车辆传动系参数优化仿真研究

doi: 10.13433/j.cnki.1003-8728.2018.0421
详细信息
    作者简介:

    郭谨玮(1991-),硕士,研究方向为车辆现代设计方法研究、机械优化设计,gjw110311@126.com

    通讯作者:

    王金刚,教授,博士,wangjg1961@sina.com

Parameter Optimization and Simulation System of Vehicle Transmission System Using Multi-objective Particle Swarm Optimization Algorithm

  • 摘要: 利用多目标粒子群算法研究了车辆传动系参数优化问题。首先根据目标车辆的结构搭建了整车模型,通过台架试验对整车模型进行验证;其次以车辆传动系参数作为设计变量,以车辆动力性和经济性作为优化目标,建立多目标优化模型;然后运用多目标粒子群算法对传动系参数进行优化计算,得到Pareto最优解集;最后运用基于信息熵的多属性决策方法,确定了最优传动系参数。研究结果表明:优化后的整车的动力性能和燃油经济性均得到提升,其中燃油经济性提高了4.83%,全负荷0~100 km/h加速性能提升了2.03%。
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出版历程
  • 收稿日期:  2017-04-09
  • 刊出日期:  2018-04-05

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