Skip to main navigation Skip to search Skip to main content

Efficiency Optimization of Phase-Shift Full-Bridge through Adaptive Dead-Time and Burst-Mode at Very Light Load

  • School of Electrical Engineering and Automation, Harbin Institute of Technology

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

Abstract

In the traditional phase-shift full-bridge converter, the dead-time is calculated under a pre-set load condition, which leads to more body diodes conduction loss of the switches when the load is heavy and the loss of ZVS when the load is light. Therefore, an adaptive dead-time strategy of efficiency improvement for PSFB converter is proposed in this paper, which can adaptively adjust dead-time based on the relationship between the load current and dead-time. By the proposed strategy, the efficiency of the PSFB converter can be improved at both light and heavy load conditions without additional power devices. In addition, the efficiency can be significantly improved by burst-mode at very light load.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • adaptive dead-time
  • burst-mode
  • phase-shift full-bridge (PSFB)
  • zero-voltage-switching (ZVS)

Fingerprint

Dive into the research topics of 'Efficiency Optimization of Phase-Shift Full-Bridge through Adaptive Dead-Time and Burst-Mode at Very Light Load'. Together they form a unique fingerprint.

Cite this