Model Predictive Control for a Multisource Inverter in Electrical Vehicle Applications

Wang, Fengxiang; IEEE

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.

Más información

Título según WOS: Model Predictive Control for a Multisource Inverter in Electrical Vehicle Applications
Título de la Revista: 6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021)
Editorial: IEEE
Fecha de publicación: 2021
Página de inicio: 449
Página final: 454
DOI:

10.1109/PRECEDE51386.2021.9680875

Notas: ISI