High efficiency resonant dc/dc converter utilizing a resistance compression network
Author(s)
Inam, Wardah; Perreault, David J.; Afridi, Khurram
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This paper presents a new topology for a high efficiency dc/dc resonant power converter that utilizes a resistance compression network to provide simultaneous zero voltage switching and near zero current switching across a wide range of input voltage, output voltage and power levels. The resistance compression network (RCN) maintains desired current waveforms over a wide range of voltage operating conditions. The use of on/off control in conjunction with narrowband frequency control enables high efficiency to be maintained across a wide range of power levels. The converter implementation provides galvanic isolation and enables large (greater than 1∶10) voltage conversion ratios, making the system suitable for large step-up conversion in applications such as distributed photovoltaic converters. Experimental results from a 200 W prototype operating at 500 kHz show that over 95% efficiency is maintained across an input voltage range of 25 V to 40 V with an output voltage of 400 V. It is also shown that the converter operates very efficiently over a wide output voltage range of 250 V to 400 V, and a wide output power range of 20 W to 200 W. These experimental results demonstrate the effectiveness of the proposed design.
Date issued
2013-03Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. School of EngineeringJournal
Proceedings of the 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Inam, Wardah, Khurram K. Afridi, and David J. Perreault. “High Efficiency Resonant Dc/dc Converter Utilizing a Resistance Compression Network.” 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC) (March 2013).
Version: Author's final manuscript
ISBN
978-1-4673-4355-8
978-1-4673-4354-1
978-1-4673-4353-4
ISSN
1048-2334