Lithium-ion battery end-of-discharge time prediction using particle filtering algorithm

The particle filtering (PF) algorithm is employed to predict Lithium-ion battery end-of-discharge time. The work voltage degradation model with six states is presented in the nonlinear state-space form, and the states such as model unknown parameters and work voltage are estimated by PF algorithm. Then the end-of-discharge time with probability distribution is further given by PF algorithm. The experimental example demonstrates the effectiveness of the proposed approach.