TY  - CHAP
A1  - Rubagotti, Matteo
A1  - Onori, Simona
A1  - Rizzoni, Giorgio
N2  - 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
N1  - ASME 2009 Dynamic Systems and Control Conference (DSCC2009)
October 12?14, 2009 , Hollywood, California, USA 
TI  - Automotive battery prognostics using dual Extended Kalman Filter
Y1  - 2009///
SN  - 978-0-7918-4893-7
AV  - none
T2  - Proceedings of the Dynamic Systems and Control Conference (DSCC2009) 
SP  - 257
M1  - 2
EP  - 263
UR  - http://dx.doi.org/10.1115/DSCC2009-2725
PB  - American Society of Mechanical Engineers
ID  - eprints1219
ER  -