This project presents the design of an adaptive speed control system for a permanent magnet synchronous motor for electric vehicle applications. The MRAC approach is used to achieve robust performance for wide-ranging load conditions and system uncertainties. In the controller design, a reduced-order PMSM model is considered, considering the main vehicle dynamics and external resistive forces such as aerodynamic drag, rolling resistance, and road grade effects. Simulations are executed stepwise, from pure force applications to combined load conditions. Further, performance is validated on two standard drive cycles: FTP-72 and HWFET, for urban and highway driving conditions. The results depict accurate speed tracking, stable current regulation, and robust adaptability to dynamic torque demands. The MRAC-based controller has been effective in ensuring performances over a wide envelope of operating conditions, thus laying a very good platform for further improvements in intelligent EV control systems.