FRA and EKF Based State of Charge Estimation of Zinc-nickel Single Flow Batteries

Li, Y, Li, K, Li, S et al. (1 more author) (2018) FRA and EKF Based State of Charge Estimation of Zinc-nickel Single Flow Batteries. In: ICSEE 2018, IMIOT 2018: Advances in Green Energy Systems and Smart Grid. International Conference on Intelligent Computing for Sustainable Energy and Environment International Conference on Intelligent Manufacturing and Internet of Things, 21-23 Sep 2018, Chongqing, China. Springer, Singapore , pp. 183-191.

Abstract

Metadata

Authors/Creators:
  • Li, Y
  • Li, K
  • Li, S
  • Li, Y
Copyright, Publisher and Additional Information: © Springer Nature Singapore Pte Ltd. 2018. This is a post-peer-review, pre-copyedit version of an article published in CCIS Vol 925. The final authenticated version is available online at: https://doi.org/10.1007/978-981-13-2381-2_17.
Keywords: flow battery; state of charge(SOC); fast recursive algorithm (FRA); extended Kalman fi lter(EKF)
Dates:
  • Accepted: 31 May 2018
  • Published: 5 September 2018
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: 14 Aug 2018 14:30
Last Modified: 05 Sep 2019 00:42
Status: Published
Publisher: Springer, Singapore
Identification Number: https://doi.org/10.1007/978-981-13-2381-2_17

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