relation: http://eprints.imtlucca.it/1219/
title: Automotive battery prognostics using dual Extended Kalman Filter
creator: Rubagotti, Matteo
creator: Onori, Simona
creator: Rizzoni, Giorgio
subject: TJ Mechanical engineering and machinery
description: 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
publisher: American Society of Mechanical Engineers
date: 2009
type: Book Section
type: PeerReviewed
identifier:   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)  
relation: http://dx.doi.org/10.1115/DSCC2009-2725
relation: 10.1115/DSCC2009-2725