Prediction of aging of battery for electric vehicles based on a modified version of neural networks

The battery is the key element to store and then supply electricity to the various components of Electric Vehicles (EV). However, the battery cannot be charged and discharged indefinitely. The main objective of this study is to develop a novel methodology for estimation of the ageing rate of a Lithium-Fer-Phosphate (LFP) battery used in electric vehicles in order to predict its Remaining Useful Life (RUL). Indeed, a new method based a modified version of neural networks is proposed. It is used to estimate the LFP battery’s Discharge Capacity (DC) and to conclude about the battery’s end of life.