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This paper proposes Machine Learning (ML)-based power converter control as an effective Electric Vehicle (EV) energy management strategy under time-varying source, load and storage conditions. The system contains a Hybrid Energy Storage System (HESS) unit, Photovoltaic (PV) source, grid input, bidirectional Direct Curr...
Recent trends in renewable power conversion practices highlight maximum power point tracking (MPPT) for photovoltaic (PV)-fed Direct Current-Direct Current (DC-DC) converters, considering that variations in irradiance, temperature, and load fluctuation as well as partial shading generate diminution in energy extraction...
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