Joint SoC and SoH Estimation for Zinc–Nickel Single-Flow Batteries

Li, S orcid.org/0000-0002-1536-4195, Li, K orcid.org/0000-0001-6657-0522, Xiao, E et al. (1 more author) (2020) Joint SoC and SoH Estimation for Zinc–Nickel Single-Flow Batteries. IEEE Transactions on Industrial Electronics, 67 (10). pp. 8484-8494. ISSN 0278-0046

Abstract

Metadata

Authors/Creators:
Keywords: Kalman filter; online estimation; online model identification; redox flow battery (RFB); state of charge (SoC); state of health (SoH); zinc–nickel flow batteries
Dates:
  • Published: October 2020
  • Accepted: 3 October 2019
  • Published (online): 30 October 2019
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)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/R030243/1
Depositing User: Symplectic Publications
Date Deposited: 05 Nov 2019 10:48
Last Modified: 07 Sep 2020 15:28
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/tie.2019.2949534

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