Optimization and Co-Design of a 2-MHz GaN-based 700W LLC Converter

Nitish Jolly, Ashwin Chandwani, Osarogie Purr Irabor, Ayan Mallik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the objective of minimizing the power losses in a 2MHz LLC resonant converter, a novel multi-variable design optimization algorithm is developed and analyzed in this paper. Intricately curated constraints and corresponding trade-offs are explained for a complete co-design of a multi-MHz resonant converter. In addition to that, this study also provides detailed quantitative comparison of the effective AC winding resistance of the leakage integrated high frequency planar transformer (HFPT) for different winding configurations, along with comprehensive finite element analysis (FEA) simulations for current density distributions to elucidate the effect of skin and proximity effects. Further, the proposed optimization algorithm is experimentally verified by developing an all-GaN based LLC resonant converter rated at 700W, designed at 2MHz resonant frequency. While achieving a power density of 6.2 W/cm3, the efficiency at 10% load is experimentally reported to be 89%, while the peak efficiency is reported to be 95.6%.

Original languageEnglish (US)
Title of host publication2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193878
DOIs
StatePublished - 2022
Event2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States
Duration: Oct 9 2022Oct 13 2022

Publication series

Name2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/TerritoryUnited States
CityDetroit
Period10/9/2210/13/22

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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