Adjustable Current Limit Feature with a Self-Sensing and Self-Triggering Monolithically Integrated SiC Circuit Breaker Device

Taro Takamori, Keiji Wada, Norman Boettcher, Tobias Erlbacher, Wataru Saito, Shinichi Nishizawa

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

Abstract

This paper proposes a current limit feature for a multi-functional SiC circuit breaker device with a “dual thyristor” structure. The proposed feature provides the device not only with a fast-response current breaking operation but also with the current limiting function, including supplying a constant current to the load and preventing the detection of inrush currents. The proposed feature is suitable for replacing mechanical circuit breakers in initial charging circuits for the rectifiers and a safety equivalent in case of overcurrent accidents. The proposed method achieves various constant currents by simply varying the gate-drive circuit with adjustable parameters of an additional MOSFET. Experimental results verified that the device with the current limit feature reduces the inrush current to up to 22.6% of capacitive load condition using a 500 VDC circuit system.

Original languageEnglish
Title of host publication2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193878
DOIs
Publication statusPublished - 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

All Science Journal Classification (ASJC) codes

  • 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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