The transportation sector is one of the most significant energy consumers among all industries.The leading source of energy is still fossil fuels, mainly petrol and diesel. Most of it is wasted due to the low efficiency of conventional internal combustion engines (ICE) vehicles. Electric motors have relatively higher efficiencies compared to conventional ICEs. The electric vehicle drive consists of induction motors. Induction motors with variable speed drives should have fast torque response and a wide range of speed control. The induction motor must achieve the desired speed and torque profile, even under the influence of disturbances and uncertainties. The torque generated by the induction motor must remain constant to maintain the desired speed of the vehicle.In this thesis, the induction motor’s speed control using the integral sliding mode control is proposed. The proposed control consists of two sub-parts i.e., the PI control based direct torque control and non-linear integral sliding mode control to deal with uncertainties. The control methodology regulates the vehicle’s torque and speed within desired limits irrespective of the load torque variations and other known bounded uncertainties. A complete mathematical model is provided for both steps. The designing of control gains of conventional proportional-integral(PI) controllers,is done using the small-signal analysis of the induction motor. The transfer function considering small-signal perturbations has been calculated for rotor speed to load torque, rotor speed, electric speed, and rotor flux to supply voltage. These transfer functions have been utilized to analyze system stability and tune the controller to achieve the desired gain and phase margins. The other half consists of designing a robust integral sliding mode controller. The ISMC eliminates the chattering problems, reaching phase, and increases the system robustness. The system trajectories start from the designed sliding manifold. This makes the system robust against uncertainties from the beginning. The upper bound on disturbances should be known, i.e., in this case, variations in load torques should be bounded. The ongoing work consists of load torque profiling to determine the required bounds. Once the load torque bound is determined, a non-linear control law is designed and integrated with the PI controller. The experimental results were obtained for the DTC PI controller,and they were in good unison with simulation results. Irrespective of load torque variations,the controller could track the desired speed with a change of about 10%. To further improve this speed regulation, an ISM based control is incorporated. The proposed control was able to maintain the desired speed irrespective of the load torque profile.