New Fuzzy Direct Torque Control optimization for In-Wheel Motors used in Electric Vehicle Applications

Abstract

Due to its design and structure, the electric vehicle is part of multi-machine multi-converter systems (MMS). For electric vehicle control, one of the control structures applied to MMS will be applied based on torque control. The present work contributes to the development of a new control structure for an electric vehicle (EV) equipped with two sets of bi-interior permanent magnet synchronous motor (IPMS) in-wheel motors (IWM) connected in parallel and supplied by a single three-phase three-level NPC inverter, one set on the left longitudinal side and one on the right longitudinal side. In order to produce the corresponding torque to the driving wheels according to the driver’s steering, acceleration or braking commands, each set is controlled by a proposed fuzzy direct torque control using PSO algorithm. The proposed control structure, adapted on the basis of a “master-slave” control structure, was implemented and tested in simulation to analyze its robustness under mechanical and electrical disturbances. Its extension to the EV traction system allowing the improvement of lateral stability and the safety of the electric vehicle during cornering situations.