Remaining Useful Life Prediction of Lithium-ion Battery Based on Double Exponential Empirical Particle Filter

A prediction method for the remaining useful life of lithium-ion battery based on double exponential empirical particle filter is proposed. This paper combines the advantages of particle filter idea to deal with non-Gaussian nonlinear systems, and improves the particle degradation efficiency, and has fewer parameters and simple calculation. The experiments show that the proposed method is simple and feasible, and predict accurately for remaining useful life of lithium-ion batteries.