@inproceedings{9710fdca86fd451692ff6da09d73f82e,
title = "Model Predictive Control of Three-Phase Rectifier for Electric Vehicle Charging",
abstract = "Model predictive control (MPC) can predict the future behavior of the controlled variable by using the system model and this control method is simple and easy to understand and it has good dynamic performance. This paper investigates an MPC strategy to control a three-phase rectifier for the electric vehicle charging application. The prediction model is established based on input filters of the rectifier and is employed to predict the future behavior of the input current. The output voltage can be effectively regulated and maintained. In addition, the input current and input power factor can be controlled at the same time. A traditional PI controller is also implemented for comparative study. The various comparative simulation results obtained in MATLAB/Simulink verify the feasibility and effectiveness of the proposed predictive control.",
keywords = "charging control, electric vehicle, model predictive control",
author = "Qiaosen Cao and Jianwei Zhang and Haichen Chang and Guizhen Tian",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 ; Conference date: 20-11-2021 Through 22-11-2021",
year = "2021",
doi = "10.1109/PRECEDE51386.2021.9680992",
language = "English",
series = "6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "915--920",
booktitle = "6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021",
address = "United States",
}