SOC Estimation of Ni-MH Battery Pack based on Approved HPPC Test and EKF Algorithm for HEV
In this paper, Methods of SOC estimation of Extended Kalman Filter (EKF) is studied based on the characteristics of Nickel-Metal Hydride (Ni-MH) battery pack with 120 cells in series and 8Ah capacity for HEV. In the study of EKF-based SOC estimation, the improved Thevenin circuit model is adopted, and a new hybrid pulse power characterization (HPPC) test is designed to identify the model parameters by using piecewise linear regression method. In this way, the precision of the circuit model is improved. In addition, The Kalman gain matrix is optimized for EKF iterative algorithm by two ways: a constant gain is increased taking into account the entire process; a dynamic gain which increases at the beginning of abrupt change and decreases rapidly after abrupt change is set up. The improvement achieves a good tracing prediction.
Hybrid electric vehicle(HEV) Nickel-metal hydride battery pack(NiMH battery pack ) State of charge(SOC) Improved hybrid pulse power characterization test (Improved HPPC test) Extended Kalman Filter(EKF)
Bingxiang Sun Jiuchun Jiang Zhanguo Wang
School of Electrical Engineering Beijing Jiaotong University Beijing, China
国际会议
2010 6th International Conference on MENS NANO,and Smart System(2010年微机电纳米、智能系统国际会议 ICMENS 2010)
长沙
英文
307-310
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）