<p>Switched reluctance motors (SRMs) have gained prominence in modern electric drive systems due to their rugged design, inherent fault tolerance, and minimal structural complexity. Coupling SRMs with hybrid energy sources like photovoltaic (PV) arrays and battery storage enhances overall system efficiency and supports cleaner, renewable-driven mobility. However, operating such systems under dynamic load and irradiance conditions demands advanced control strategies and adaptable power conversion topologies to ensure stable and efficient performance. This paper presents a unique approach, which includes a model predictive control technique-based SRM drive incorporating solar PV, energy storage, high-gain DC–DC converter, and a bidirectional converter. The solar PV operates in two modes with a double-switched quasi-Z-source converter, and the operation of the battery is controlled by a bidirectional DC–DC converter. The power management between the PV and the battery for various speed and load conditions is preciously carried out using the proposed MPC control. The efficacy of the proposed system is tested for different scenarios of load and speed. The MPC-based control strategy plays a crucial role in precisely managing the power exchange between the PV system and the energy storage unit while ensuring smooth motor operation. The reduction in torque ripple and settling time shows the effectiveness of the proposed control. The performance of the proposed model is tested both in simulation and in the OPAL-RT 4510 setup. The results obtained show the effectiveness of the proposed control strategy in power management, ripple reduction, and speed control. The findings highlight that the proposed strategy effectively improves power regulation, improves overall system efficiency, and ensures stable motor operation, making it a promising solution for renewable energy-driven SRM applications.</p>