Rente, B, Fabian, M, Liu, X et al. (4 more authors) (2021) A non-invasive method for state-of-charge estimation of Li-ion batteries using Fibre Bragg Grating-based sensors. In: Optical Fiber Sensors Conference 2020 Special Edition. 27th International Conference on Optical Fiber Sensors, 08-12 Jun 2020, Washington, DC United States. OPTICA Publishing Group ISBN 9781557523075
Abstract
Fibre Bragg Gratings are employed as input of a state-of-charge prediction algorithm for Lithium-ion batteries. Data gathered allowed the development of a dynamic time-warping algorithm for prediction of the state of charge of battery.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). This is an author produced version of a conference paper published in Optical Fiber Sensors Conference 2020 Special Edition. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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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: | 13 Oct 2022 11:15 |
Last Modified: | 15 Oct 2022 01:12 |
Status: | Published |
Publisher: | OPTICA Publishing Group |
Identification Number: | 10.1364/OFS.2020.Th4.13 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:191893 |