Lithium-Ion battery state-of-charge estimator based on FBG-based strain sensor and employing machine learning

Rente, B, Fabian, M, Vidakovic, M et al. (5 more authors) (2021) Lithium-Ion battery state-of-charge estimator based on FBG-based strain sensor and employing machine learning. IEEE Sensors Journal, 21 (2). pp. 1453-1460. ISSN 1530-437X

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Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Fiber Bragg Grating , strain sensor , state-of-charge estimation , dynamic time warping
Dates:
  • Accepted: 8 August 2020
  • Published (online): 12 August 2020
  • Published: 15 January 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Aug 2020 10:49
Last Modified: 21 Apr 2021 15:08
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/jsen.2020.3016080

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