Experimental Implementation of a Nonlinear PI Predictive Control Strategy for Electric Vehicle

Electric Vehicles (EV) are playing an increasingly important role since they offer a solution to many problems the transportation industry is now facing. The traction motor control system is a crucial component of the electric vehicle powertrain, with control strategies dependent on the used motor type. In this paper, an electrical vehicle (EV) traction system is developed using two squirel-cage induction motors (SCIM) that allow the front driving wheels to be driven. A Non-Linear Predictive Indirect Field Oriented Control (NLPIFOC) strategy, using two speed and current Model Predictive Controllers (MPC) with Non-Linear PI (NLPI) controllers, is developed and experimentally implemented for the EV control. The experimental results of the proposed NLPIFOC shows better performances comparing with the NLIFOC.