A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of IM drives for electric vehicles

This article compares two torque control methodologies, model predictive control (MPC), and field‐oriented control (FOC), for induction motor (IM) control over a wide speed range applied to an electric vehicle driving system (EVDS). The control technologies are designed and developed to control torque to achieve targeted traction according to vehicle specifications and the demands of the driver. For both control techniques, the specified electric vehicle (EV) is driven under and above base speed with stator flux control and field weakening control of the IM, respectively. In EVDS, the dynamic modeling of the power plants, that is, vehicle dynamics, Li‐ion battery, IM, and road forces, is considered. The dynamic behavior of the EVDS of a four‐passenger city EV is analyzed and evaluated with urban dynamometer driving schedule (UDDS) driving cycle. From simulations and performance appraisal, the comparison between FOC and MPC is investigated. This article compares two torque control methodologies, model predictive control (MPC), and field‐oriented control (FOC), for induction motor control over a wide speed range applied to an electric vehicle driving system (EVDS). The control technologies are designed and developed to control torque to achieve targeted traction according to vehicle specifications and the demands of the driver.