Enhancing battery durable operation: Multi-fault diagnosis and safety evaluation in series-connected lithium-ion battery systems

Zhao, Y., Deng, J., Liu, P. et al. (5 more authors) (2025) Enhancing battery durable operation: Multi-fault diagnosis and safety evaluation in series-connected lithium-ion battery systems. Applied Energy, 377 (Part C). 124632. ISSN 0306-2619

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

This is an author produced version of an article published in Applied Energy, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Lithium-ion batteries, Multi-fault diagnosis, Deep-learning technologies, Safety evaluation strategy
Dates:
  • Published: 1 January 2025
  • Published (online): 8 October 2024
  • Accepted: 1 October 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Mar 2025 09:35
Last Modified: 07 Mar 2025 09:35
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.apenergy.2024.124632
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
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