High dV/dt controllability of 1.2kV TCIGBT through dynamic avalanche elimination

Peng Luo, Sankara Narayanan Ekkanath Madathil, Shin Ichi Nishizawa, Wataru Saito

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

    2 Citations (Scopus)

    Abstract

    High dV/dt controllability of IGBTs is important to achieve high power efficiency and switching speed. However, the Dynamic Avalanche (DA) phenomenon in MOS-gated bipolar devices is one major issue to affect dV/dt controllability, switching loss as well as gate stability. In this paper, the fundamental limit of the turn-off dV/dt controllability of trench IGBTs is analyzed through 3-D TCAD simulations. A DA free design enabled by Trench Clustered IGBT (TCIGBT) is investigated to show significant improvement in dV/dt controllability compared to that of conventional TIGBT at same turn-off energy loss (Eoff) condition. Furthermore, experimental results confirm that TCIGBT can remain DA free performance and high dV/dt controllability at high temperature.

    Original languageEnglish
    Title of host publicationPCIM Asia 2020 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, Proceedings
    PublisherVDE Verlag GmbH
    Pages176-180
    Number of pages5
    ISBN (Electronic)9783800753888
    Publication statusPublished - 2020
    Event2020 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Asia 2020 - Shanghai, China
    Duration: Nov 16 2020Nov 18 2020

    Publication series

    NamePCIM Asia 2020 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, Proceedings

    Conference

    Conference2020 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Asia 2020
    Country/TerritoryChina
    CityShanghai
    Period11/16/2011/18/20

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Electrical and Electronic Engineering
    • Hardware and Architecture
    • Renewable Energy, Sustainability and the Environment
    • Energy Engineering and Power Technology

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