A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile

•Three different model-based filtering algorithms for SOC estimation are compared.•A combined dynamic loading profile is proposed to evaluate the three algorithms.•Robustness against uncertainty of initial states of SOC estimators are investigated.•Battery capacity degradation is considered in SOC e...

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Bibliographic Details
Published in:	Applied energy Vol. 164; pp. 387 - 399
Main Authors:	Yang, Fangfang, Xing, Yinjiao, Wang, Dong, Tsui, Kwok-Leung
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.02.2016
Subjects:	algorithms ambient temperature batteries Degradation Extended Kalman filter Lithium-ion batteries management systems Particle filter State of charge uncertainty Unscented Kalman filter vehicles (equipment) Lithium-ion batteries Degradation State of charge Unscented Kalman filter Extended Kalman filter Particle filter
ISSN:	0306-2619, 1872-9118
Online Access:	Get full text
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