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Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

He, Hongwen, Xiong, Rui, Guo, Hongqiang·2012·Applied Energy

DOI 10.1016/j.apenergy.2011.08.005

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Authors: He, H., Xiong, R., & Guo, H.
Affiliations: Beijing Institute of Technology (CN)
Corresponding author: He, Hongwen
ORCID: He, Hongwen
Xiong, Rui
Guo, Hongqiang
Venue: Applied Energy
Publisher: Elsevier BV
Published: 2012-01
Volume: 89
Issue: 1
Pages: 413-420
ISSN: 0306-2619 (ISSN-L)
DOI: 10.1016/j.apenergy.2011.08.005
OpenAlex: W2057708672
Cited by: 388
References: 19
Citations by year: 2026: 14 · 2025: 22 · 2024: 23 · 2023: 31 · 2022: 42 · 2021: 41 · 2020: 30 · 2019: 23 · 2018: 35 · 2017: 27 · 2016: 15 · 2015: 29 · 2014: 25 · 2013: 19 · 2012: 12
FWCI: 36.74
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Applied Energy (publishedVersion)
Topics: Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
Keywords: lithium iron phosphate batteries, state of charge estimation, online parameter estimation, adaptive extended Kalman filter, Thevenin equivalent circuit model, battery management systems, electric vehicles, open-circuit voltage, terminal voltage

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Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

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