Optimal Energy Management in PV-Powered Switched Reluctance Motor Based Electric Vehicles

Abstract

This paper incorporates a PV module, a boost converter, a bidirectional converter, an Incremental Conductance (INC) Maximum Power Point Tracking (MPPT) algorithm and a Proportional-Integral (PI) controller for optimal energy management in Electric vehicle operation. The analysis evaluates efficiency, dynamic response and power management under varying irradiance conditions. The simulation results reveal that the PV module attains peak efficiency (99.35% –99.9%), ensuring effective energy conversion while the SRM drive, supported by the PI controller, maintains stable and precise operation. The bidirectional converter facilitates seamless battery charging and discharging, enhancing energy utilization and supporting regenerative braking. Battery performance shows stable voltage with adaptive current and power adjustments though the State of Charge declines under reduced PV output and reflecting load compensation. This research underscores the system’s consistency, optimum cost and aptness for sustainable EV utilizations, representing robust motor control and power attainment. This study highlights the potential of SRM motor-based PV-powered EVs for effectual and ecological transportation solutions.