DocumentCode :
2867799
Title :
DM EMI noise analysis for critical conduction mode PFC
Author :
Wang, Zijian ; Wang, Shuo ; Kong, Pengju ; Lee, Fred C.
Author_Institution :
Center for Power Electron. Syst., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fYear :
2011
fDate :
6-11 March 2011
Firstpage :
1475
Lastpage :
1481
Abstract :
The critical conduction mode (CRM) power factor correction converters are widely used in low power front-end converters for its high efficiency. Compared to the traditional CCM PFC, the large inductor current ripple in the CRM PFC makes the DM EMI noise a major concern and a large EMI filter is needed. Moreover, uncertainty of the worse case for the EMI noise in the CRM PFC may often lead to an overdesign of the EMI filter, which further increases the size of the system. In this paper, the worst case analysis is carried out based on the proposed mathematical prediction model for the DM EMI noise of the CRM PFC. The design criteria of the DM EMI filter are obtained from the worst case analysis without the need of EMI measurement, which helps to link the EMI filter with the initial system design and make the potential optimization possible. Experimental results validate the proposed model and the worst case analysis.
Keywords :
electromagnetic interference; power convertors; power factor correction; DM EMI noise analysis; EMI filter; critical conduction mode PFC; inductor current ripple; low power front-end converters; mathematical prediction model; power factor correction converters; worst case analysis; Bars; Delta modulation; Electromagnetic interference; Inductors; Mathematical model; Noise; Noise measurement; EMI noise prediction; critical conduction mode PFC; mathematical model; quasi-peak detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2011 Twenty-Sixth Annual IEEE
Conference_Location :
Fort Worth, TX
ISSN :
1048-2334
Print_ISBN :
978-1-4244-8084-5
Type :
conf
DOI :
10.1109/APEC.2011.5744787
Filename :
5744787
Link To Document :
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