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State Estimation of a Lithium-Ion Battery Through Kalman Filter

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4 Author(s)
M. Urbain ; GREEN-INPL-CNRS (UMR 7037), 2, Avenue de la Forêt de Haye - 54516 Vandoeuvre-lès-Nancy - France ; S. Rael ; B. Davat ; P. Desprez

Online evaluation of operating conditions is crucial for battery management system. For this purpose, the resistance and the capacity best characterize the state-of-health of a lithium-ion cell, whereas the state-of-charge is a reliable information about its remaining stored energy. This paper describes the use of Kalman filter in order to estimate these parameters for photovoltaic applications, and hybrid electric vehicle applications. Rather than computing heavy models incompatible with embedded microcontroller capabilities, some assumptions associated to theses kinds of applications allow to implement a simple model to track parameters. Experimental validation of this process is fully depicted.

Published in:

2007 IEEE Power Electronics Specialists Conference

Date of Conference:

17-21 June 2007