A dual-level approach for lithium-ion battery RUL prognosis

Abstract

A Dual-level approach is proposed for lithium-ion battery remaining useful life prognosis. The Dual-level approach is based on the Verhulst model, the logarithmic model and the PF. The first level prediction produces a rough capacity prediction and then the second level prediction improves the accuracy of the first prediction result. The logarithmic model has the ability to describe the accelerated degradation process more accurate. Due to it is sensitive to its parameters, in this article the result of the first prediction result based on the Verhulst model is used to initialize the parameters of the logarithmic model. The PF is used in both levels to update the state based on each model. Four case studies are conducted to validate the Dual-level approach. The experimental result shows that the Dual-level approach has efficiently improve the performance of the estimating RUL and the capacity fade trend of the lithium-ion battery compared with the prognosis method based on PF and the Verhulst model.