Title :
Nonlinear adaptive estimation of the state of charge for Lithium-ion batteries
Author :
Yebin Wang ; Huazhen Fang ; Sahinoglu, Zafer ; Wada, Tomotaka ; Hara, Satoshi
Author_Institution :
Mitsubishi Electr. Res. Labs., Cambridge, MA, USA
Abstract :
This paper considers State of Charge (SoC) estimation of Lithium-ion battery. Different from various prior art, where estimation is performed based on local linearization of a nonlinear battery model, a nonlinear adaptive observer is proposed to estimate the SoC and the parameters of a simplified but nonlinear battery model. A major advantage of the proposed approach is the possibility to establish the exponential stability of the resultant error dynamics of state and parameter estimation. Simulation validates the effectiveness of the proposed approach.
Keywords :
adaptive estimation; asymptotic stability; battery charge measurement; parameter estimation; secondary cells; exponential stability; lithium ion batteries; nonlinear adaptive estimation; nonlinear adaptive observer; nonlinear battery model; parameter estimation; resultant error dynamics; state of charge estimation; Adaptation models; Batteries; Electrodes; Mathematical model; Observers; System-on-chip;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760567