IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v313y2024ics0360544224035060.html
   My bibliography  Save this article

Design and uncertainty-based multidisciplinary optimization of a 3D star-shaped negative Poisson's ratio structural battery pack

Author

Listed:
  • Wang, Weiwei
  • Xu, Xiaomei
  • Sun, Songsong
  • Wang, Yaqin
  • Zhang, Tianci

Abstract

The battery pack integrated with the vehicle chassis addresses two critical challenges: impact resistance and thermal management. In response, this paper proposes a novel battery pack featuring 3D star-shaped negative Poisson's ratio (NPR) structures. Compared to the conventional battery pack, the 3D star-shaped NPR structural battery pack has impact resistance and heat dissipation capabilities. Furthermore, a new L1-DUCO uncertainty-based multidisciplinary optimization is applied to further improve the overall performance of the battery pack. The results indicate that after the L1-DUCO uncertainty-based multidisciplinary optimization, the peak collision force of the battery pack is reduced by 6.96 kN, and the energy loss of the cooling water passing through the NPR condenser decreases by 42.12 %. Additionally, the material cost of the NPR condenser is reduced by 56.42 %. Most importantly, all constraint functions meet the 6-Sigma robustness design requirements following the L1-DUCO optimization. It can provide both theoretical and practical guidance for the integrated design of battery pack.

Suggested Citation

  • Wang, Weiwei & Xu, Xiaomei & Sun, Songsong & Wang, Yaqin & Zhang, Tianci, 2024. "Design and uncertainty-based multidisciplinary optimization of a 3D star-shaped negative Poisson's ratio structural battery pack," Energy, Elsevier, vol. 313(C).
  • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224035060
    DOI: 10.1016/j.energy.2024.133728
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224035060
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133728?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:energy:v:313:y:2024:i:c:s0360544224035060. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.