Model Predictive Control for a Multisource Inverter in Electrical Vehicle Applications

Abstract

The classical voltage source inverter (VSI) is a suitable topology for electrical vehicles (EVs) due to low cost, high power density, and simple control. However, VSI indicates some restrictions due to the wide range of electrical machine performance and high power demand requirements. Recently, one concept called multisource inverter (MSI) has been introduced, which uses two independent DC sources to respond to different ranges of electrical vehicle speed. In this research, a model predictive control (MPC) is applied to the MSI that drives a permanent magnet synchronous machine (PMSM). The simulation results show that the proposed MPC to drive EVs that use MSI as a traction inverter possesses good advantages such as quick performance without any distortion in speed signal and also MPC uses a good transition to reach high voltage levels to respond to the high speeds of EV.