A novel model predictive control scheme based observer for working conditions and reconditioning monitoring of Zinc-Nickel single flow batteries

Li, S, Li, K, Xiao, E et al. (3 more authors) (2020) A novel model predictive control scheme based observer for working conditions and reconditioning monitoring of Zinc-Nickel single flow batteries. Journal of Power Sources, 445. 227282. ISSN 0378-7753

Abstract

Metadata

Authors/Creators:
  • Li, S
  • Li, K
  • Xiao, E
  • Xiong, R
  • Zhang, J
  • Fischer, P
Copyright, Publisher and Additional Information: Crown Copyright © 2019 Published by Elsevier B.V. All rights reserved. This is an author produced version of a paper published in Journal of Power Sources. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Redox flow batteries; Zinc-nickel single flow batteries; State of charge estimation; Capacity estimation; Reconditioning; Model predictive control; Observer
Dates:
  • Accepted: 8 October 2019
  • Published (online): 4 November 2019
  • Published: 1 January 2020
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: 15 Nov 2019 13:39
Last Modified: 04 Nov 2020 01:39
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jpowsour.2019.227282

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