@inproceedings{6d2ea5d74bbf427cbfb09c4936564e4d,
title = "Real-Time Modeling and Simulation of Electric Vehicle Battery Charger on FPGA",
abstract = "With the development of the electric vehicles (EV), the fast and high-efficiency battery chargers have attracted more and more attention in both industrial and academic fields. However, the real-time simulation of the EV charger can be challenging mainly due to the high switching frequency of the employed DC-DC resonant converter. The accurate simulation of fast switching converters requires ultra-low time-step which imposes strict time constraint to the real-time solver. In this paper, a real-time model of the EV battery charger is developed based on the effective topology partitioning technique. Therefore, the parallel modeling structure is realized which can make use of the parallelism of the FPGA device to reduce the computation latency. After the implementation on FPGA, the developed model can be simulated with 15 ns real-time time-step. The accuracy of the developed model is validated by the SimPowerSystem model in Matlab/Simulink, and the application values are proved by the hardware-in-the-loop real-time simulation.",
keywords = "battery charger, electric vehicle, FPGA, PFC, Real-time system, resonant converter",
author = "Hao Bai and Huan Luo and Chen Liu and Damien Paire and Fei Gao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 ; Conference date: 12-06-2019 Through 14-06-2019",
year = "2019",
month = jun,
doi = "10.1109/ISIE.2019.8781109",
language = "英语",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1536--1541",
booktitle = "Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019",
}