ENERGY SAVINGS IN FUEL CELL POWERED MODERN DAY VEHICLES: A MACHINE LEARNING APPROACH
Keywords:
Simulnk, Renewable, Energy, Algorithm, Electric VehicleAbstract
This study introduces a Hybrid Renewable Energy System (HRES) that combines a Photovoltaic (PV) system with a fuel cell to power a Brushless DC (BLDC) motor, aimed at improving electric vehicle (EV) performance. To optimize the power production from the
photovoltaic system, a Radial Basis Function Neural Network (RBFNN) based Maximum Power Point Tracking (MPPT) algorithm is used, guaranteeing that the photovoltaic system functions at its peak efficiency under fluctuating environmental circumstances.
References
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