IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v399y2025ics030626192501178x.html
   My bibliography  Save this article

Metal hydride storage tanks real-time state of charge estimation based on nonlinear observer with a non-observable subsystem

Author

Listed:
  • Chen, Mingrui
  • Costa-Castelló, Ramon
  • Batlle, Carles
  • Na, Jing

Abstract

In this paper, a novel state of charge real-time estimation architecture for metal hydride storage tanks is proposed. Specifically, the state of charge estimation problem is converted into a nonlinear observer design problem. Firstly, the observability of the metal hydride tank model is analyzed and the state space is divided into three regions according to its observability. Secondly, an unknown system dynamic estimator is used to estimate the sorption rate of metal hydride tanks, which only requires information on tank pressure, temperature and flow rate. Thirdly, an observer is designed to estimate the density of hydrogen and metal hydride. Finally, the performance of the proposed estimator is validated using numerical simulations and experimental data.

Suggested Citation

  • Chen, Mingrui & Costa-Castelló, Ramon & Batlle, Carles & Na, Jing, 2025. "Metal hydride storage tanks real-time state of charge estimation based on nonlinear observer with a non-observable subsystem," Applied Energy, Elsevier, vol. 399(C).
    • Handle: RePEc:eee:appene:v:399:y:2025:i:c:s030626192501178x
    DOI: 10.1016/j.apenergy.2025.126448
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192501178X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2025.126448?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eee:appene:v:399:y:2025:i:c:s030626192501178x. 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.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.