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Data-Based Circuit Design Method for Class Φ Resonate Converters

  • Yining Liu
  • , Yi Zhang
  • , Jorma Kyyra
  • , Frede Blaabjerg

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The complicated multi-resonance operations are critical challenges that limit the parameter design freedom and accurate implementations of resonate converters. To describe the circuit operations, conventional analytical design methods rely on a large number of equations and approximations. The whole design process is time-consuming and the valid design freedom is greatly narrowed by the approximations. To avoid modeling complex operations and realize automated design, we propose a data-driven circuit design method based on simulations and surrogate models. The proposed method fully gets rid of complicated circuit analysis and equation derivations, while maintaining the same design accuracy as analytical methods. The widened design space benefited from the proposed method also enables freedom for performance optimization.

Original languageEnglish
Title of host publication2024 IEEE Design Methodologies Conference, DMC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9798350355864
DOIs
Publication statusPublished - Nov 2024
Event2024 IEEE Design Methodologies Conference, DMC 2024 - Grenoble, France
Duration: 18 Nov 202420 Nov 2024

Publication series

Name2024 IEEE Design Methodologies Conference, DMC 2024

Conference

Conference2024 IEEE Design Methodologies Conference, DMC 2024
Country/TerritoryFrance
CityGrenoble
Period18/11/2420/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • design automation
  • high frequency
  • Resonant converter design
  • soft switching
  • surrogate model

ASJC Scopus subject areas

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

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