For electric vehicles (EVs) equipped with hybrid energy storage systems (HESS), a challenge is reasonably distributing and optimizing load power. To optimize the performances of the vehicle power and battery capacity, This paper introduces an innovative data-driven Energy Management Strategy (EMS) designed for HESS, which combines a hierarchical strategy of fuzzy neural network (FNN) and data-enabled predictive control (DeePC). At the driving level, FNN predicts load power demand by collecting historical speed and acceleration information along with current data. At the energy management level...
