@inproceedings{0521adc416f64c98a94afc92bece1004,
title = "Fuzzy-Based Model Predictive Control for Bidirectional Charging of EV: An Adaptive Weighting Factor Algorithm",
abstract = "Model predictive control strategy is an advanced control algorithm for bidirectional active and reactive power flow in electric vehicles. However, tuning the weighting factor is a time-consuming process and its value is constant for various working conditions. To solve this problem, fuzzy control is applied to generate an adaptive weighting factor to meet all unexpected requirements. A two-stage bidirectional charger is built in Matlab/Simulink with the proposed fuzzy model predictive control. Simulation results show that dynamic performance can be achieved in the proposed method. The total harmonic distortion of the grid current is limited to 5\%. The weighting factor can be adjusted online according to different demands. No tuning procedure of the weighting factor is required.",
keywords = "Electric vehicles, fuzzy control, model predictive control, weighting factor",
author = "Tingting He and Mingli Wu and Lu, \{Dylan Dah Chuan\} and Shuo Wang and Jianguo Zhu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Future Energy Electronics Conference, IFEEC 2023 ; Conference date: 20-11-2023 Through 23-11-2023",
year = "2023",
doi = "10.1109/IFEEC58486.2023.10458447",
language = "English",
series = "2023 International Future Energy Electronics Conference, IFEEC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "284--287",
booktitle = "2023 International Future Energy Electronics Conference, IFEEC 2023",
address = "United States",
}