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This paper presents an Artificial Intelligence–based control strategy for an induction motor drive used in heavy-duty electric vehicle applications. The proposed approach integrates the Intelligent Water Drop (IWD) algorithm within a field-oriented control framework, replacing the conventional PI speed controller. The IWD algorithm operates in an incremental manner to generate smooth torque references, improving dynamic performance and robustness under varying operating conditions. A comprehensive MATLAB/Simulink model was developed to represent the induction motor, inverter, and vehicle drivetrain dynamics. Simulation results demonstrate that the proposed IWD-based control strategy achieves high speed tracking accuracy of approximately 96%, reduced torque ripple, balanced stator currents, and improved energy efficiency compared to conventional PI-based control. Vehicle-level results further confirm smooth speed and acceleration profiles suitable for heavy-duty electric vehicle operation. The findings indicate that the proposed control strategy provides a robust and efficient alternative to conventional methods, highlighting its potential for application in advanced electric vehicle traction systems.