Computational-Efficient Thermal Estimation for IGBT Modules under Periodic Power Loss Profiles in Modular Multilevel Converters

Yi Zhang, Huai Wang, Zhongxu Wang, Frede Blaabjerg

    Research output: Contribution to journalArticlepeer-review

    14 Scopus citations

    Abstract

    One of the next challenges for modular multilevel converters (MMCs) is how to the size the critical components to their limits with reduced design margins, while at the same time fulfilling the reliability target. To do it confidently, better thermal modeling with quantitative uncertainty analysis is necessary to support the decision-making during the product design stage. Regarding the conversion of long-term mission profiles into thermal profiles for reliability evaluation, this paper proposes a computationally efficient thermal modeling method for insulated-gate bipolar transistor modules in MMCs. The proposed method considers the impact of the inherent thermal unbalance and has minimum computation with quantitative error analysis. Finally, both simulations and experiments have verified the theoretical results.

    Original languageBritish English
    Article number8747388
    Pages (from-to)4984-4992
    Number of pages9
    JournalIEEE Transactions on Industry Applications
    Volume55
    Issue number5
    DOIs
    StatePublished - 1 Sep 2019

    Keywords

    • Error analysis
    • insulated-gate bipolar transistors (IGBTs)
    • modular multilevel converters (MMCs)
    • reliability
    • thermal analysis

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