IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v322y2025ics0360544225013908.html
   My bibliography  Save this article

A dual-stage thermal runaway early warning strategy for lithium-ion batteries based on multi-domain acoustic signal fusion

Author

Listed:
  • Liu, Hankun
  • Wang, Yue
  • Wang, Teng
  • Gong, Yichang
  • Shang, Yunlong

Abstract

Effective thermal runaway prediction is essential for the safe use of lithium-ion batteries (LIBs). However, the early stages of thermal runaway are so covert that it is difficult for classical warning methods to provide timely warnings based on characteristics like temperature and current. To address this issue, a dual-stage thermal runaway early warning strategy for LIBs based on multi-domain acoustic signal fusion is proposed. Firstly, sound signals during the battery thermal runaway experiment are collected. In the first stage, outliers are detected using isolated forests, followed by time-frequency multi-domain analysis. The results are then processed with an Entropy-Pruned and Cluster-Optimized KNN Classification (EPCOKC) to provide the second-level warning. Finally, the experimental results demonstrate that the proposed early warning method is effective, general and robust, with 98.08 % accuracy of the recognition system. This sound-based early warning method issues alerts on average at 9352s, much earlier than the temperature and pressure-based warning methods.

Suggested Citation

  • Liu, Hankun & Wang, Yue & Wang, Teng & Gong, Yichang & Shang, Yunlong, 2025. "A dual-stage thermal runaway early warning strategy for lithium-ion batteries based on multi-domain acoustic signal fusion," Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225013908
    DOI: 10.1016/j.energy.2025.135748
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225013908
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.135748?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.

    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:energy:v:322:y:2025:i:c:s0360544225013908. 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.journals.elsevier.com/energy .

    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.