Title :
Accuracy state of charge estimation used in energy storage system for electric transportation
Author :
Di Li ; Jian Ouyang ; Huiqi Li ; Jinhong Xie
Author_Institution :
Sch. of Mech. & automotive Eng., South China Univ. of Technol., Guangzhou, China
fDate :
Aug. 31 2014-Sept. 3 2014
Abstract :
Electric transportation is the development tendency of the transportation systems in future world. Energy storage systems are the key components of the electric transportation systems. Accuracy state of charge (SOC) estimation of energy storage system is crucial not only for improve energy used efficiency, but also for electric transportation drive safety. This paper choose LiFePO4 Li-ion battery as energy storage medium, use equivalent circuit modeling the battery, estimate the SOC of the battery through SMFEKF algorithm. The comparison between the SMFEKF algorithm simulation data and the experimental data shows that the SMFEKF algorithm has a better accuracy in SOC estimation.
Keywords :
Kalman filters; electric vehicles; energy conservation; energy storage; equivalent circuits; estimation theory; iron compounds; lithium compounds; nonlinear filters; secondary cells; transportation; LiFePO4; SMFEKF algorithm simulation data; SOC estimation; accuracy state of charge estimation; electric transportation drive safety system; electric vehicles; energy storage system; energy used efficiency improvement; equivalent circuit modeling; li-ion battery; suboptimal multiple fading factor extended Kalman filter; Batteries; Discharges (electric); Equations; Estimation; Integrated circuit modeling; Mathematical model; System-on-chip; Electric Transportation; Energy Storage System; State of Charge Estimation;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6940736
