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Automotive battery prognostics using dual Extended Kalman Filter

Rubagotti, Matteo and Onori, Simona and Rizzoni, Giorgio Automotive battery prognostics using dual Extended Kalman Filter. In: Proceedings of the Dynamic Systems and Control Conference (DSCC2009). American Society of Mechanical Engineers, pp. 257-263. ISBN 978-0-7918-4893-7 (2009)

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This paper proposes a strategy for estimating the remaining useful life of automotive batteries based on dual Extended Kalman Filter. A nonlinear model of the battery is exploited for the on-line estimation of the State of Charge, and this information is used to evaluate the actual capacity and predict its future evolution, from which an estimate of the remaining useful life is obtained with suitable margins of uncertainty. Simulation results using experimental data from lead-acid batteries show the effectiveness of the approach

Item Type: Book Section
Identification Number: 10.1115/DSCC2009-2725
Additional Information: ASME 2009 Dynamic Systems and Control Conference (DSCC2009) October 12–14, 2009 , Hollywood, California, USA
Subjects: T Technology > TJ Mechanical engineering and machinery
Research Area: Computer Science and Applications
Depositing User: Users 37 not found.
Date Deposited: 06 Mar 2012 13:19
Last Modified: 30 Sep 2013 12:26
URI: http://eprints.imtlucca.it/id/eprint/1219

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