The Lithium-Ion Battery Capacity Prediction Error Analysis Based on Extended Kalman Filtering

The Lithium-ion battery capacity prediction error is analyzed by use of extended Kalman filtering(EKF) and curve fitting algorithms. This paper employs the capacity degradation model described by Colum efficient factor, rest time and other two unknown parameters. Then, a nonlinear state-space model is introduced, and the EKF is presented to estimate the capacity and the two unknown parameters. The parameter setting in EKF is discussed in details. The capacity prediction error is analyzed with the help of curve fitting. The experiment example demonstrates the algorithms efficiency.