TY - GEN
T1 - State-of-charge estimation for a single Lithium battery cell using Extended Kalman Filter
AU - Hussein, Ala Al Haj
AU - Batarseh, Issa
PY - 2011
Y1 - 2011
N2 - An accurate state-of-charge (SOC) estimation is desired in most battery systems. It increases the reliability of the system and extends the lifetime of the battery. This paper proposes an Extended Kalman Filter (EKF) algorithm to estimate the SOC of a Lithium battery cell. To implement the SOC algorithm, an improved Lithium battery cell model is used. The results of the model and EKF algorithm show the effectiveness and ease of implementation of the proposed technique.
AB - An accurate state-of-charge (SOC) estimation is desired in most battery systems. It increases the reliability of the system and extends the lifetime of the battery. This paper proposes an Extended Kalman Filter (EKF) algorithm to estimate the SOC of a Lithium battery cell. To implement the SOC algorithm, an improved Lithium battery cell model is used. The results of the model and EKF algorithm show the effectiveness and ease of implementation of the proposed technique.
KW - Extended Kalman Filter (EKF)
KW - State-of-charge (SOC)
KW - hysteresis voltage
KW - relaxation
UR - http://www.scopus.com/inward/record.url?scp=82855172235&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82855172235&partnerID=8YFLogxK
U2 - 10.1109/PES.2011.6039679
DO - 10.1109/PES.2011.6039679
M3 - Conference contribution
AN - SCOPUS:82855172235
SN - 9781457710018
T3 - IEEE Power and Energy Society General Meeting
BT - 2011 IEEE PES General Meeting
T2 - 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Y2 - 24 July 2011 through 28 July 2011
ER -