IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3245251.html
   My bibliography  Save this article

Multiobjective Optimization of Vehicle Handling and Stability Based on ADAMS

Author

Listed:
  • Genge Zhang
  • Yi Wei
  • Chengwei Ju
  • Shuilong He
  • Amandeep Kaur

Abstract

In order to improve the steering characteristics, roll characteristics, and lateral characteristics of heavy commercial vehicles, a multiobjective handling stability comprehensive score optimization model (MHSCS optimization model) was proposed in this study. In this study, the main factors affecting the steering characteristics, roll characteristics, and lateral characteristics are determined by combining the road test method and ADAMS software simulation analysis method. Based on the above road tests and ADAMS software simulation analysis, the MHSCS optimization model was proposed with “understeering degree,†“vehicle roll angle†, and “rearward amplification (RWA)†as evaluation indexes, and the response surface method combined with genetic algorithm was used to carry out multiobjective optimization of heavy commercial vehicle. ADAMS simulation results show that the comprehensive improvement degree of steering characteristics, roll characteristics, and lateral characteristics of a heavy commercial vehicle after optimization is 15.26%. Finally, the field road test results show that the scoring error between the comprehensive scoring optimization model and the real vehicle test was controlled at 0.4%, which proves the accuracy of the optimization model established in this study and effectively improves the handling stability of heavy commercial vehicles.

Suggested Citation

  • Genge Zhang & Yi Wei & Chengwei Ju & Shuilong He & Amandeep Kaur, 2022. "Multiobjective Optimization of Vehicle Handling and Stability Based on ADAMS," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, August.
  • Handle: RePEc:hin:jnlmpe:3245251
    DOI: 10.1155/2022/3245251
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/3245251.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/3245251.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/3245251?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huizhong Luo & Junshan Nie & Lihua Zhang, 2023. "Design and Test of Dislocation Baffle Roller Bionic Picking Device for Fresh Corn," Agriculture, MDPI, vol. 13(5), pages 1-17, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:3245251. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.