Data-driven state-of-health estimation of EV batteries using fatigue features

Estimating State-of-Health(SOH) for electric vehicle(EV) batteries is the most crucial to determine replacement time of the battery or to calculate driving mileage. However, partial charge and discharge, or steep changes of current loads imposed in EV increase estimation error. In this paper, we present a data-driven method for Battery Management System(BMS) to precisely estimate the SOH reflecting batterys stress pattern.