This paper presents the development and implementation of a control strategy for high-speed switched reluctance motors (SRMs) in electric vehicle applications, utilizing a combination of fuzzy logic and vector control techniques. The primary objective is to enhance the performance and efficiency of SRMs, which are increasingly recognized for their advantages in electric vehicles, including high torque density, robustness, and simplicity of construction. The proposed control strategy employs fuzzy logic to adaptively fine-tune the motor control parameters, optimizing torque production and speed regulation under varying operational conditions. Simultaneously, vector control techniques are employed to achieve precise control over the motor's magnetic field, facilitating improved dynamic response and overall efficiency. Simulation results demonstrate the effectiveness of the proposed approach, showcasing significant improvements in torque response, energy efficiency, and operational stability compared to traditional control methods. This research contributes to the ongoing efforts to advance electric vehicle technologies by providing a robust and flexible control solution for high-speed SRMs, ultimately enhancing the viability of electric vehicles as a sustainable transportation alternative. The findings indicate that the integration of fuzzy logic with vector control can significantly improve motor performance, paving the way for future innovations in electric drive systems.