Machine learning-based energy management and bidirectional power control for battery-fed electric vehicle traction drive
Abstract Efficient energy management in a battery-fed electric vehicle (EV) traction system requires coordinated control of propulsion power, battery operating conditions, Direct Current (DC)-link voltage, and regenerative braking under rapidly changing driving conditions. This study develops a machine learning (ML)-ba...