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Losses Minimization for Isolated Bidirectional Quad Active Bridge Converter

  • Nader Younis*
  • , Tarek Younis
  • , Mahmoud A. Gaafar
  • , Mohamed Orabi
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An isolated multi-port bidirectional dc-dc converter is widely used to integrate multiple power sources, loads and energy storage devices. However, achieving an efficient operation under single phase-shift modulation remains a significant challenge especially under voltage mismatch and at light load. To tackle this issue, this paper proposes a modulation scheme for multi-port converter. The strategy aims to improve the efficiency based on root-mean-square current minimization. The loss optimization technique is implemented in two phases: first, ripple correlation control is presented to perform real-time optimization. Second, a modulation architecture based on time-division multiplexing approach is implemented to maximize the efficiency. Finally, the optimization strategy is validated and reported by PLECS simulation results.

Original languageEnglish
Title of host publicationIEEE Conference on Power Electronics and Renewable Energy, CPERE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331567330
DOIs
StatePublished - 2025

Publication series

NameIEEE Conference on Power Electronics and Renewable Energy, CPERE 2025

Bibliographical note

Publisher Copyright:
©2025 IEEE.

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

  • Bidirectional
  • Charging Stations
  • Efficiency
  • Electric Vehicles (EVs)
  • Four-Port
  • Loss Optimization
  • Multi-Port
  • Quad Active Bridge (QAB)
  • Ripple Correlation Control (RCC)
  • Time-Division Multiplexing (TDM)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Transportation

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