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Investigation on the Parasitic Capacitance of High Frequency and High Voltage Transformers of Multi-Section Windings

Authors: Le Deng; Pengbo Wang; Xiaofeng Li 0007; Houxiu Xiao; Tao Peng;

Investigation on the Parasitic Capacitance of High Frequency and High Voltage Transformers of Multi-Section Windings

Abstract

Resonant converters are widely used in high voltage applications thanks to the soft switching technologies. The high frequency and high voltage (HFHV) transformer is the most complicated and important part to boost the voltage by tens or hundreds of times, and the parasitic capacitance of the transformers is critical to the performances of resonant converters. To reduce the parasitic capacitance, the multi-section winding technique is usually employed in HFHV transformers. However, the parasitic capacitance values calculated by the classical methods are not consistent with the experimental results of HFHV transformers, and they are usually designed and optimized with low efficiency. This paper proposes a new analytic method for calculating the parasitic capacitance of HFHV transformers of multi-section windings, which is verified with good accuracy by experimental results.

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Keywords

parasitic capacitance, HFHV transformer, resonant converters, multi-section windings, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
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