• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (2): 150-158.doi: 10.3901/JME.2018.02.150

• 运载工程 • 上一篇    下一篇

基于熵权TOPSIS方法的整车动力学性能多目标优化

蒋荣超1, 刘大维1, 王登峰2   

  1. 1. 青岛大学机电工程学院 青岛 266071;
    2. 吉林大学汽车仿真与控制国家重点实验室 长春 130022
  • 收稿日期:2017-01-22 修回日期:2017-08-17 出版日期:2018-01-20 发布日期:2018-01-20
  • 通讯作者: 蒋荣超(通信作者),男,1985年出生,博士,讲师。主要研究方向为汽车系统动力学与控制、汽车轻量化设计理论与应用。E-mail:jrch123@126.com
  • 基金资助:
    山东省自然科学基金(ZR2017PEE004)和国家自然科学基金(51475248)资助项目。

Multi-objective Optimization of Vehicle Dynamics Performance Based on Entropy Weighted TOPSIS Method

JIANG Rongchao1, LIU Dawei1, WANG Dengfeng2   

  1. 1. College of Mechanical and Electronic Engineering, Qingdao University, Qingdao 266071;
    2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022
  • Received:2017-01-22 Revised:2017-08-17 Online:2018-01-20 Published:2018-01-20

摘要: 为提高汽车行驶平顺性和操纵稳定性等整车动力学性能优化匹配效率,提出基于TOPSIS(Technique for ordering preferences by similarity to ideal solution,TOPSIS)方法的设计变量筛选策略。首先建立考虑下控制臂和扭转梁柔性的整车刚柔耦合虚拟样机模型,并通过下控制臂和扭转梁自由模态试验以及整车行驶平顺性和操纵稳定性实车道路试验验证所建整车刚柔耦合模型的正确性。采用试验设计方法研究下控制臂和扭转梁各结构参数分别对前后悬架性能的影响程度,提出基于熵权法和TOPSIS方法的结构综合贡献系数计算方法,以此为评价指标筛选出对悬架性能影响较大的结构参数作为整车性能匹配优化的设计变量,结合Kriging近似模型和NSGA-Ⅱ算法(Elitist non-dominated sorting genetic algorithm,NSGA-Ⅱ)对整车行驶平顺性和操纵稳定性进行多目标优化设计,获取Pareto最优解集,并确定出前后悬架系统的优化方案。研究结果表明,与优化前相比较,悬架系统优化后的整车行驶平顺性和操纵稳定性均有所提高,能够实现汽车性能的整体改善。

关键词: 变量筛选, 操纵稳定性, 多目标优化, 结构综合贡献系数, 行驶平顺性

Abstract: In order to improve optimization efficiency of vehicle dynamics performance including ride comfort and handling stability, a design variable selection strategy is proposed based on TOPSIS(Technique for ordering preferences by similarity to ideal solution,TOPSIS) method. The full vehicle rigid-flexible coupling model with flexible lower control arm and twist beam is firstly established and then validated by modal test data of the lower control arm and twist beam in a free-free configuration and the road test data of ride comfort and handling stability. On this basis, the design of experiment(DOE) method is employed to study the effects of structure parameters of lower control arm on front suspension performance, and structure parameters of twist beam on rear suspension performance, respectively. Furthermore, the calculation method of integrated structural contribution coefficient is presented based on TOPSIS method coupled with entropy measurement. The structure parameters with high integrated structural contribution coefficient are determined as design variables for vehicle performance optimization. Then, the Kriging surrogate model and NSGA-Ⅱ(Elitist non-dominated sorting genetic algorithm) are adopted to perform the multi-objective optimization of ride comfort and handling stability. The Pareto optimal set is found and one of the optimal solutions is determined as the optimization program for the front and rear suspension system. The results indicate that the ride comfort and handling stability of the vehicle equipped with optimized suspensions get a considerable improvement compared to the original vehicle. It demonstrated that an overall improvement of the vehicle performance can be achieved by the proposed multi-objective optimization method.

Key words: handling stability, integrated structural contribution coefficient, multi-objective optimization*, ride comfort, variable selection

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