Improved Realtime State-of-Charge Estimation of LiFePO₄ Battery Based on a Novel Thermoelectric Model

Zhang, C, Li, K orcid.org/0000-0001-6657-0522, Deng, J et al. (1 more author) (2017) Improved Realtime State-of-Charge Estimation of LiFePO₄ Battery Based on a Novel Thermoelectric Model. IEEE Transactions on Industrial Electronics, 64 (1). pp. 654-663. ISSN 0278-0046

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 IEEE. This is an author produced version of a paper published in IEEE Transactions on Industrial Electronics. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Internal temperature estimation; joint extended Kalman filter (EKF); state-of-charge (SOC) estimation; thermoelectric model
Dates:
  • Published: January 2017
  • Accepted: 26 July 2016
  • Published (online): 15 September 2016
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: 26 Nov 2018 10:47
Last Modified: 18 Mar 2019 11:00
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TIE.2016.2610398

Share / Export

Statistics