Estimation of eddy current winding losses in soft-switching solid-state transformer

Xiwei Zheng, Xiangyu Han, Mickael Mauger, Prasad Kandula, Karthik Kandasamy, Deepak Divan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The high frequency (HF) transformer is a critical component of any solid state transformer. In the case of soft-switching solid-state transformer (S4T), the HF transformer is similar to a flyback transformer with the addition of transition stages, resulting in some atypical operating modes. Only one winding is active during the active energy transfer time. However, there is significant proximity effect induced eddy current losses in the inactive winding. During the transition times, both the windings are carrying very HF currents (10-20 times switching frequency) resulting in significant AC copper loss even though the transition period is small (5-10% of switching period). This paper explains the nature of these eddy currents in the open winding and during transitions stages, which are unique to S4T, and presents analysis to evaluate these losses. Mathematical derivations to calculate these unique AC losses are presented. FEM analysis to verify the analytical method is presented.

Original languageEnglish
Title of host publication2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5022-5028
Number of pages7
ISBN (Electronic)9781728103952
DOIs
StatePublished - Sep 2019
Externally publishedYes
Event11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States
Duration: Sep 29 2019Oct 3 2019

Publication series

Name2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/TerritoryUnited States
CityBaltimore
Period09/29/1910/3/19

Fingerprint

Dive into the research topics of 'Estimation of eddy current winding losses in soft-switching solid-state transformer'. Together they form a unique fingerprint.

Cite this