IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v291y2021ics0306261921000386.html
   My bibliography  Save this article

Experimental analysis and analytical modeling of Enhanced-Ragone plot

Author

Listed:
  • Catenaro, Edoardo
  • Rizzo, Denise M.
  • Onori, Simona

Abstract

In this study, we propose an experimentally validated Enhanced-Ragone plot (ERp) that displays key characteristics of lithium-ion batteries (LIBs) in terms of their cathode composition and operating conditions, and can be employed as a design tool to guide energy storage system (ESS) selection for applications ranging from electrified vehicles to stationary grid storage. We build the ERp using experiments - under different C-rate and operating temperature - from cylindrical graphite anode LIBs of the type 1865 nickel-cobalt-aluminum-oxide, 2170 nickel-manganese-cobalt-oxide and 2665 iron-phosphate. Moreover, for each LIB tested, six cell samples are used to assess the statistical significance and repeatability of the data collected. A zero-th order equivalent circuit-based modeling approach is then proposed and experimentally validated to predict the specific energy and specific power on the ERp. Finally, the proposed ERp framework is showed on a case study of battery sizing in electric vehicle applications.

Suggested Citation

  • Catenaro, Edoardo & Rizzo, Denise M. & Onori, Simona, 2021. "Experimental analysis and analytical modeling of Enhanced-Ragone plot," Applied Energy, Elsevier, vol. 291(C).
    • Handle: RePEc:eee:appene:v:291:y:2021:i:c:s0306261921000386
    DOI: 10.1016/j.apenergy.2021.116473
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921000386
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.116473?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.

    References listed on IDEAS

    as
    1. Zhang, Yuan Ci & Briat, Olivier & Boulon, Loïc & Deletage, Jean-Yves & Martin, Cyril & Coccetti, Fabio & Vinassa, Jean-Michel, 2019. "Non-isothermal Ragone plots of Li-ion cells from datasheet and galvanostatic discharge tests," Applied Energy, Elsevier, vol. 247(C), pages 703-715.
    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. Dettù, Federico & Pozzato, Gabriele & Rizzo, Denise M. & Onori, Simona, 2021. "Exergy-based modeling framework for hybrid and electric ground vehicles," Applied Energy, Elsevier, vol. 300(C).
    2. Catenaro, Edoardo & Rizzo, Denise M. & Onori, Simona, 2021. "Framework for energy storage selection to design the next generation of electrified military vehicles," Energy, Elsevier, vol. 231(C).

    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.

      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:appene:v:291:y:2021:i:c:s0306261921000386. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

      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.