IDEAS home Printed from https://ideas.repec.org/a/ids/ijcist/v21y2025i11p30-54.html
   My bibliography  Save this article

Design of an augmented unknown input estimator for the lithium-ion battery state of charge and sensor fault estimation

Author

Listed:
  • Li Fang

Abstract

This research proposes a novel method to enhance the accuracy of state of charge (SoC) estimation in lithium-ion packs by utilising nonlinear battery models in combination with an estimator for the unknown input. It is crucial in optimising performance, ensuring safety, and increasing operational life in situations involving electric vehicles and renewable power systems. A key enhancement of this approach is the inclusion of sensing faults as state variables, allowing simultaneous estimation of both SoC and sensor faults. This improves system reliability by detecting and correcting sensor inaccuracies, ensuring stable battery management. The fault-tolerant design reduces errors and enhances real-world applicability. The methodology presented was validated through experimental tests, demonstrating a significant improvement in battery state estimation. The results verify the advancement in battery management systems and aim to develop efficient and reliable energy storage for diverse uses.

Suggested Citation

  • Li Fang, 2025. "Design of an augmented unknown input estimator for the lithium-ion battery state of charge and sensor fault estimation," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 21(11), pages 30-54.
    • Handle: RePEc:ids:ijcist:v:21:y:2025:i:11:p:30-54
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=149028
    Download Restriction: Open Access
    ---><---

    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:ids:ijcist:v:21:y:2025:i:11:p:30-54. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=58 .

    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.