IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i24p6572-d461472.html
   My bibliography  Save this article

Experimental and Numerical Investigation of the Behavior of Automotive Battery Busbars under Varying Mechanical Loads

Author

Listed:
  • Tobias Werling

    (Mercedes-Benz AG, HPC X631, 71059 Sindelfingen, Germany
    These authors contributed equally to this work.)

  • Marvin Sprenger

    (Mercedes-Benz AG, HPC X631, 71059 Sindelfingen, Germany
    These authors contributed equally to this work.)

  • Christian Ellersdorfer

    (VSI—Institute of Vehicle Safety, University of Technology Graz, Inffeldgasse 23/I, 8010 Graz, Austria)

  • Wolfgang Sinz

    (VSI—Institute of Vehicle Safety, University of Technology Graz, Inffeldgasse 23/I, 8010 Graz, Austria)

Abstract

Automotive high-voltage busbars are critical electrical components in electric vehicle battery systems as they connect individual battery modules and form the connection to the vehicle’s powertrain. Therefore, a vehicle crash can pose a significant risk to safety by compromising busbar insulation, leading to electrical short circuits inside the battery. In turn, these can trigger thermal chain reactions in the cell modules of the battery pack. In order to ensure a safe design in future applications of busbars, this study investigated the mechanical behavior of busbars and their insulation. Our results indicated that crashlike compressive and bending loads lead to complex stress states resulting in failure of busbar insulation. To estimate the safety of busbars in the early development process using finite element simulations, suitable material models were evaluated. Failure of the insulation was included in the simulation using an optimized generalized incremental stress state dependent model (GISSMO). It was shown that sophisticated polymer models do not significantly improve the simulation quality. Finally, on the basis of the experimental and numerical results, we outline some putative approaches for increasing the safety of high-voltage busbars in electric vehicles, such as choosing the insulating layer material according to the range of expected mechanical loads.

Suggested Citation

  • Tobias Werling & Marvin Sprenger & Christian Ellersdorfer & Wolfgang Sinz, 2020. "Experimental and Numerical Investigation of the Behavior of Automotive Battery Busbars under Varying Mechanical Loads," Energies, MDPI, vol. 13(24), pages 1-20, December.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6572-:d:461472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/24/6572/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/24/6572/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sheng Yang & Wenwei Wang & Cheng Lin & Weixiang Shen & Yiding Li, 2019. "Investigation of Internal Short Circuits of Lithium-Ion Batteries under Mechanical Abusive Conditions," Energies, MDPI, vol. 12(10), pages 1-16, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Marvin Sprenger & Norbert Dölle & Florian Schauwecker & Marco Raffler & Christian Ellersdorfer & Wolfgang Sinz, 2022. "Multiscale Analysis and Safety Assessment of Fresh and Electrical Aged Lithium-Ion Pouch Cells Focusing on Mechanical Behavior," Energies, MDPI, vol. 15(3), pages 1-18, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu, Quanqing & Dai, Lei & Xiong, Rui & Chen, Zeyu & Zhang, Xin & Shen, Weixiang, 2022. "Current sensor fault diagnosis method based on an improved equivalent circuit battery model," Applied Energy, Elsevier, vol. 310(C).
    2. Tao Yin & Longzhou Jia & Xichao Li & Lili Zheng & Zuoqiang Dai, 2022. "Effect of High-Rate Cycle Aging and Over-Discharge on NCM811 (LiNi0.8Co0.1Mn0.1O2) Batteries," Energies, MDPI, vol. 15(8), pages 1-15, April.
    3. Xiong, Rui & Sun, Wanzhou & Yu, Quanqing & Sun, Fengchun, 2020. "Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles," Applied Energy, Elsevier, vol. 279(C).
    4. Simon Schwolow & Muhammad Ammad Raza Siddiqui & Philipp Bauer & Thomas Vietor, 2022. "Impact Tests and Computed Tomography Scans of Prismatic Battery Cells," Energies, MDPI, vol. 15(22), pages 1-20, November.
    5. JiYang Xu & Jian Ma & Xuan Zhao & Hao Chen & Bin Xu & XueQin Wu, 2020. "Detection Technology for Battery Safety in Electric Vehicles: A Review," Energies, MDPI, vol. 13(18), pages 1-19, September.

    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:gam:jeners:v:13:y:2020:i:24:p:6572-:d:461472. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.