Title :
Research on State-of-Charge Estimation of Battery Pack Used on Hybrid Electric Vehicle
Author :
Li, Huijun ; Liao, Chenglin ; Wang, Lifang
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
Abstract :
A dynamic model considering hysteresis effect and polarization effect and based on tests and parameter estimation is proposed to describe the dynamic characteristics of NiMH battery pack on hybrid electric vehicle (HEV) with high precision. With the dynamic model, state-of-charge (SOC) estimation method is derived based on Extended Kalman Filter (EKF). Simulation results over different tests show that the dynamic model can simulate the output characteristics of NiMH battery pack more accurately and the SOC estimation method based on the model is adaptive for HEV.
Keywords :
Kalman filters; hybrid electric vehicles; secondary cells; NiJkH; NiMH battery pack; SOC estimation method; hybrid electric vehicle; state-of-charge estimation; Artificial neural networks; Batteries; Costs; Fuzzy reasoning; Hybrid electric vehicles; Polarization; State estimation; Testing; Vehicle dynamics; Voltage;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918709
