State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks

Zhang, L, Zheng, M, Du, D et al. (4 more authors) (2021) State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks. Complexity, 2020. 8840240. ISSN 1076-2787

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Authors/Creators:
Copyright, Publisher and Additional Information: Copyright © 2020 Li Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Published: 1 January 2021
  • Accepted: 24 October 2020
  • Published (online): 1 December 2020
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: 28 Oct 2020 14:25
Last Modified: 23 Feb 2021 12:31
Status: Published
Publisher: Hindawi
Identification Number: https://doi.org/10.1155/2020/8840240

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