Title :
Adaptive state of charge (SOC) estimator for a battery
Author :
McIntyre, M. ; Burg, T. ; Dawson, D. ; Xian, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC
Abstract :
This work proposes an adaptive least-squares estimation strategy to determine the state of charge (SOC) for an electro-chemical battery. An estimation analysis is presented which proves that under a set of qualifying conditions, that the SOC of the battery can be estimated. This estimate is determined by using only measurements of the battery terminal voltage and current
Keywords :
cells (electric); estimation theory; adaptive least-squares estimation; battery terminal current; battery terminal voltage; electrochemical battery; estimation analysis; state of charge; Battery charge measurement; Battery powered vehicles; Circuits; Current measurement; Energy efficiency; Energy management; Fuels; Hybrid electric vehicles; State estimation; Voltage;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1657640
