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In this paper, a new controll structure are proposed to sensorless vector control the in-wheel motor drive system of Electric Vehicle (EV) to improve its performance and robustness. The design of the controller is based on Backstepping and Hamitolnion control combined with a improved stator current MRAS adaptive speed observer proposed to estimate the vehicle speed and it also can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and load disturbances, improving dynamic performance and enhancing the robustness of the SPIM drive system, perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation. A global EV model is also evaluated based on the vehicle dynamics in this paper. The simulation results lead to the conclusion that the proposed system for the propulsion system of electric vehicle is feasible. The simulation results on a test vehicle propelled by two SPIM showed that the proposed control approach operates satisfactorily. Key-Words: Backstepping control, Port Controlled Hamiltonian control, stator current MRAS, neuron network, SPIM. Received: February 25, 2020. Revised: May 31, 2020. Re-revised: July 15, 2020. Accepted: August 18, 2020. Published: September 11, 2020

A Sensorless Vector Control Using new BS_PCH Controller structureand SC MRAS Adaptive Speed Observer for Electric Vehicles