• 其他栏目

    赵万忠

    • 教授 博士生导师
    • 招生学科专业:
      机械工程 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      动力工程及工程热物理 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      机械 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      能源动力 -- 【招收博士、硕士研究生】 -- 能源与动力学院
    • 主要任职:基础科研与人文社科处处长
    • 其他任职:汽车节能环保国家工程研究中心副主任、江苏省车辆分布式驱动与智能线控技术工程研究中心主任
    • 性别:男
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 所在单位:能源与动力学院
    • 办公地点:A10-622(科研)
                       综合楼616(办公)
    • 联系方式:13912995349 025-84896155
    • 电子邮箱:

    访问量:

    开通时间:..

    最后更新时间:..

    Multidisciplinary hybrid hierarchical collaborative optimization of electric wheel vehicle chassis integrated system based on driver's feel

    点击次数:

    所属单位:能源与动力学院

    发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

    关键字:Chassis integrated system Performance evaluation index Weight coefficient Multidisciplinary optimization

    摘要:The optimization design of chassis integrated system mainly involves steering, suspension and brake subsystems, which is essentially a multidisciplinary design optimization. This paper mainly researches the multidisciplinary optimization of the chassis integrated system for the electric wheel vehicle, from the view of ensuring a favorable feel for the driver. The dynamic models of differential steering system, brake system, active suspension system and vehicle are established. Then, taking the coupling relationship of the chassis subsystems into account, this paper proposes an evaluating index of driver's ride comfort (Drc), which is composed of the steering road feel, brake feel and suspension ride comfort. In order to determine the weight coefficient in the quantization formula of Drc, the technique for order preference by similarity to ideal solution (TOPSIS) method is used to overcome the subjectivity in the selection. Based on these, a multidisciplinary hybrid hierarchical collaborative optimization (HHCO) method is proposed on the basis of the collaborative optimization (CO), which consists of a system level coordinator and a coupling analyzer to solve the problem of poor convergence and the low efficiency of CO method. The optimization results show that the proposed HHCO method has excellent computational efficiency and better convergence compared with the CO method, which can further improve the steering road feel and the drive ride comfort, on the premise of ensuring the brake feel and suspension ride comfort.

    ISSN号:1615-147X

    是否译文:

    发表时间:2018-03-01

    合写作者:Yang, Zunsi,王春燕

    通讯作者:赵万忠