@inproceedings{a86e583161f04b0fb0b0a1f307443f4f,
title = "Conducted EMI Noise Analysis Model for PFC Converters Based on Modeling of EMI Receiver",
abstract = "With the rapid development of switching frequency and power density of power factor correction (PFC) converter, the conducted electromagnetic interference (EMI) of PFC converter is becoming increasingly severe. Different from traditional EMI modeling using FFT for frequency domain analysis, this paper established an EMI analysis model based on mathematical modeling of EMI receiver. Through simulation, this paper verified the reliability of analysis model and localized parasitic parameters that have significant impact on conducted EMI. Simulation results also verified that there is a significant difference between EMI receiver model and FFT, and the result of analysis model using EMI receiver model is closer to EMI simulation spectrum. Through experiment, this paper verified the reliability of EMI receiver model.",
keywords = "EMI analysis model, EMI receiver model, PFC converter",
author = "Rui Cheng and Wenjie Chen and Wenxia Chen and Pengyuan Ren and Hanjie Qi and Changtao Chen",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd IEEE International Power Electronics and Application Symposium, PEAS 2023 ; Conference date: 10-11-2023 Through 13-11-2023",
year = "2023",
doi = "10.1109/PEAS58692.2023.10395160",
language = "英语",
series = "PEAS 2023 - 2023 IEEE 2nd International Power Electronics and Application Symposium, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1850--1854",
booktitle = "PEAS 2023 - 2023 IEEE 2nd International Power Electronics and Application Symposium, Conference Proceedings",
}