LiIon Battery Parameter Estimation for State of （锂电池的状态参数估计）.pdf

2011 American Control Conference on OFarrell Street, San Francisco, CA, USA June 29 - July 01, 2011 Li-ion Battery Parameter Estimation for State of Charge Xidong Tang, Xiaofeng Mao, Jian Lin, and Brian Koch 飥 Abstract鈥擝attery state of charge (SOC) is a critical There are a few methods in the literature on battery SOC parameter for the control of propulsion systems in plug-in estimation [1-7]. The most common method is based on hybrid electric vehicles (PHEV) and electric vehicles (EV). As Coulomb counting due to its simplicity for implementation. SOC is not measureable during vehicle operation, an onboard However, this method has two issues that largely limit its adaptive algorithm is developed in this paper. The algorithm application to PHEV/EV. First, the Coulomb counting estimates six electrical parameters for Li-ion batteries and provides a reliable SOC based on one of the estimated battery method has to start from a correct initial SOC, which is not parameters, i.e. open circuit voltage (OCV). Simulation and always known. Second, the error will accumulate over time vehicle validation results show good robustness and adaptation because of the presence of sensing errors. The magnitude of of the algorithm with high computational efficiency and low the error is dependent on sensor accuracy, current magnitude, implementation cost. and trip length. Moreover the Coulomb co