Mission profile based reliability evaluation of building blocks for modular power converters

Frederik Hahn, Markus Andresen, Giampaolo Buticchi, Marco Liserre

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

6 Citations (Scopus)

Abstract

The major challenge of the power electronics design is to be cost effective while fulfilling the reliability requirements. Since the thermal cycling is one of the most severe causes of failure in power electronics, this paper presents a test bench for the thermal testing of power converters. This is particularly important for modular power converters consisting of several building blocks, which cannot be tested easily. For thermal design evaluation it is proposed to test the building blocks under real mission profiles. As a study case, the thermal behavior of an Modular Multilevel Converter (MMC) is given to demonstrate the approach.

Original languageEnglish
Title of host publicationPCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800744244
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 - Nuremberg, Germany
Duration: 16 May 201718 May 2017

Publication series

NamePCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

Conference

Conference2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
Country/TerritoryGermany
CityNuremberg
Period16/05/1718/05/17

ASJC Scopus subject areas

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

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