A hybrid battery parameter identification concept for lithium-ion energy storage applications

Nejad, S., Gladwin, D.T. orcid.org/0000-0001-7195-5435 and Stone, D.A. orcid.org/0000-0002-5770-3917 (2016) A hybrid battery parameter identification concept for lithium-ion energy storage applications. In: IECON Proceedings (Industrial Electronics Conference). IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, October 24-27, 2016, Florence. , pp. 1980-1985. ISBN 9781509034741

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Keywords: Lithium-ion; Battery Energy Storage; Online; Extended Kalman Filter; Hybrid; Parameter Identification;
Dates:
  • Published: 21 December 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 Mar 2017 15:23
Last Modified: 14 Apr 2017 03:02
Published Version: https://doi.org/10.1109/IECON.2016.7793233
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1109/IECON.2016.7793233

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