An optimized adaptive estimation of state of charge for Lithium-ion battery based on sliding mode observer for electric vehicle application

Rezaei, O., Alinejad, M., Nejati, S.A. et al. (1 more author) (2021) An optimized adaptive estimation of state of charge for Lithium-ion battery based on sliding mode observer for electric vehicle application. In: Proceedings of 2020 8th International Conference on Intelligent and Advanced Systems (ICIAS). 2020 8th International Conference on Intelligent and Advanced Systems (ICIAS), 13-15 Jul 2021, Kuching, Malaysia. Institute of Electrical and Electronics Engineers (IEEE) ISBN 978-1-7281-7666-6

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: State of charge, Estimation, Lithium-ion battery, Robust observer, Optimization
Dates:
  • Published (online): 17 December 2021
  • Published: 17 December 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 02 Jun 2025 10:38
Last Modified: 02 Jun 2025 10:38
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/icias49414.2021.9642675
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
Open Archives Initiative ID (OAI ID):

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