State-of-Charge Estimation of Li-ion Battery Packs Based on Optic Fibre Sensor Measurements

Liu, S., Li, K. orcid.org/0000-0001-6657-0522, Chong, B. et al. (1 more author) (2023) State-of-Charge Estimation of Li-ion Battery Packs Based on Optic Fibre Sensor Measurements. In: Transportation Research Procedia. 8th International Electric Vehicle Conference (EVC 2023), 21-23 Jun 2023, Edinburgh, UK. Elsevier , pp. 388-397.

Abstract

Metadata

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

© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Keywords: Li-ion battery packs; SOC estimation; Optic Fibre sensor; Strain model; Kalman filter
Dates:
  • Published: 17 November 2023
  • Published (online): 17 November 2023
  • Accepted: 12 June 2022
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: 15 Jul 2024 15:00
Last Modified: 15 Jul 2024 15:00
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.trpro.2023.11.044
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
Open Archives Initiative ID (OAI ID):

Export

Statistics