TY - GEN
T1 - State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications
AU - Tjandra, Rudy
AU - Tseng, King Jet
AU - Thanagasundram, Suguna
AU - Jossen, Andreas
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/9/20
Y1 - 2016/9/20
N2 - In recent years, there is growing interest in improving lithium-ion battery state monitoring. This is due to growing concern over ensuring reliable and safe operation of lithium-ion based energy storage system especially in automotive and stationary e.g. UPS in data center applications. In this paper, battery state of charge estimation based on Extended Kalman Filter (EKF) and improved battery model considering hysteresis is presented. Hysteresis in battery is complex phenomenon and normally not considered in SOC estimation. However, the consideration is crucial especially in lithium iron phosphate (LFP) battery. Simplification of hysteresis in open circuit voltage (OCV) in the battery leads to higher percentage error in SOC estimation. To consider and model hysteresis in OCV, discrete Preisach model (DPM) is utilized to provide satisfactory improvement in SOC estimation.
AB - In recent years, there is growing interest in improving lithium-ion battery state monitoring. This is due to growing concern over ensuring reliable and safe operation of lithium-ion based energy storage system especially in automotive and stationary e.g. UPS in data center applications. In this paper, battery state of charge estimation based on Extended Kalman Filter (EKF) and improved battery model considering hysteresis is presented. Hysteresis in battery is complex phenomenon and normally not considered in SOC estimation. However, the consideration is crucial especially in lithium iron phosphate (LFP) battery. Simplification of hysteresis in open circuit voltage (OCV) in the battery leads to higher percentage error in SOC estimation. To consider and model hysteresis in OCV, discrete Preisach model (DPM) is utilized to provide satisfactory improvement in SOC estimation.
KW - Discrete Preisach Model
KW - Lithium Iron Phosphate
KW - OCV hysteresis
KW - SOC estimation
UR - http://www.scopus.com/inward/record.url?scp=84990873251&partnerID=8YFLogxK
U2 - 10.1109/INTLEC.2015.7572446
DO - 10.1109/INTLEC.2015.7572446
M3 - Conference contribution
AN - SCOPUS:84990873251
T3 - INTELEC, International Telecommunications Energy Conference (Proceedings)
BT - 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015
Y2 - 18 October 2015 through 22 October 2015
ER -
