IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i15p4585-d603896.html
   My bibliography  Save this article

A Material Model for the Orthotropic and Viscous Behavior of Separators in Lithium-Ion Batteries under High Mechanical Loads

Author

Listed:
  • Marian Bulla

    (Altair Engineering GmbH, Josef-Lammerting-Allee 10, 50933 Cologne, Germany)

  • Stefan Kolling

    (Institute of Mechanics and Materials, Technische Hochschule Mittelhessen, Wiesenstr. 14, 35390 Giessen, Germany)

  • Elham Sahraei

    (Electric Vehicle Safety Lab (EVSL), Temple University, Philadelphia, PA 19122, USA
    Impact and Crashworthiness Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA)

Abstract

The present study is focused on the development of a material model where the orthotropic-visco-elastic and orthotropic-visco-plastic mechanical behavior of a polymeric material is considered. The increasing need to reduce the climate-damaging exhaust gases in the automotive industry leads to an increasing usage of electric powered drive systems using Lithium-ion (Li-ion) batteries. For the safety and crashworthiness investigations, a deeper understanding of the mechanical behavior under high and dynamic loads is needed. In order to prevent internal short circuits and thermal runaways within a Li-ion battery, the separator plays a crucial role. Based on results of material tests, a novel material model for finite element analysis (FEA) is developed using the explicit solver Altair Radioss. Based on this model, the visco-elastic-orthotropic, as well as the visco-plastic-orthotropic, behavior until failure can be modeled. Finally, a FE simulation model of the separator material is performed, using the results of different tensile tests conducted at three different velocities, 0.1 mm·s −1 , 1.0 mm·s −1 and 10.0 mm·s −1 and different orientations of the specimen. The purpose is to predict the anisotropic, rate-dependent stiffness behavior of separator materials in order to improve FE simulations of the mechanical behavior of batteries and therefore reduce the development time of electrically powered vehicles and consumer goods. The present novel material model in combination with a well-suited failure criterion, which considers the different states of stress and anisotropic-visco-dependent failure limits, can be applied for crashworthiness FE analysis. The model succeeded in predicting anisotropic, visco-elastic orthotropic and visco-plastic orthotropic stiffness behavior up to failure.

Suggested Citation

  • Marian Bulla & Stefan Kolling & Elham Sahraei, 2021. "A Material Model for the Orthotropic and Viscous Behavior of Separators in Lithium-Ion Batteries under High Mechanical Loads," Energies, MDPI, vol. 14(15), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4585-:d:603896
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/15/4585/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/15/4585/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marian Bulla & Stefan Kolling & Elham Sahraei, 2020. "An Experimental and Computational Study on the Orthotropic Failure of Separators for Lithium-Ion Batteries," Energies, MDPI, vol. 13(17), pages 1-17, August.
    2. Lingxiao Zhu & Yong Xia & Yuanjie Liu & Yulong Ge & Lin Wang & Lei Zhang, 2021. "Extending a Homogenized Model for Characterizing Multidirectional Jellyroll Failure in Prismatic Lithium-Ion Batteries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    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. Marian Bulla & Christopher Schmandt & Stefan Kolling & Thomas Kisters & Elham Sahraei, 2022. "An Experimental and Numerical Study on Charged 21700 Lithium-Ion Battery Cells under Dynamic and High Mechanical Loads," Energies, MDPI, vol. 16(1), pages 1-15, December.

    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. Marian Bulla & Christopher Schmandt & Stefan Kolling & Thomas Kisters & Elham Sahraei, 2022. "An Experimental and Numerical Study on Charged 21700 Lithium-Ion Battery Cells under Dynamic and High Mechanical Loads," Energies, MDPI, vol. 16(1), pages 1-15, December.
    2. Lingxiao Zhu & Yong Xia & Yuanjie Liu & Yulong Ge & Lin Wang & Lei Zhang, 2021. "Extending a Homogenized Model for Characterizing Multidirectional Jellyroll Failure in Prismatic Lithium-Ion Batteries," Energies, MDPI, vol. 14(12), pages 1-15, June.

    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:14:y:2021:i:15:p:4585-:d:603896. 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.