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Thermal Resistance Matrix Extraction from Finite-Element Analysis for High-Frequency Magnetic Components

Author

Listed:
  • Guillermo Salinas

    (Power Management Section, European Space Agency, 2201 AZ Noordwijk, The Netherlands)

  • Juan A. Serrano-Vargas

    (Centro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, Spain)

  • Javier Muñoz-Antón

    (Grupo de Investigaciones Termoenergéticas, Universidad Politécnica de Madrid, 28006 Madrid, Spain)

  • Pedro Alou

    (Centro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, Spain)

Abstract

The thermal management of magnetic components for power electronics is crucial to ensure their reliability. However, conventional thermal models for magnetic components are known to have either poor accuracy or excessive complexity. Contrary to these models, the use of Thermal Resistance Matrices is proposed in this paper instead, which combine both accuracy and simplicity. They are usually used to characterize semiconductor devices, but not for magnetic components. The guidelines to apply Thermal Resistance Matrices for magnetic components are discussed in detail. The accuracy of this model is validated by 3D FEA simulations and experimental results, showing an absolute error lower than 5 ∘ C and a relative error between − 6.4 % and 3.9 % , which is outstanding compared to the carried-out literature review.

Suggested Citation

  • Guillermo Salinas & Juan A. Serrano-Vargas & Javier Muñoz-Antón & Pedro Alou, 2021. "Thermal Resistance Matrix Extraction from Finite-Element Analysis for High-Frequency Magnetic Components," Energies, MDPI, vol. 14(11), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3075-:d:562004
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    References listed on IDEAS

    as
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    3. Humphrey Mokom Njawah Achiri & Vaclav Smidl & Zdenek Peroutka & Lubos Streit, 2020. "Least Squares Method for Identification of IGBT Thermal Impedance Networks Using Direct Temperature Measurements," Energies, MDPI, vol. 13(14), pages 1-13, July.
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    5. Yao Chang & Wuhua Li & Haoze Luo & Xiangning He & Francesco Iannuzzo & Frede Blaabjerg & Weixing Lin, 2019. "A 3D Thermal Network Model for Monitoring Imbalanced Thermal Distribution of Press-Pack IGBT Modules in MMC-HVDC Applications," Energies, MDPI, vol. 12(7), pages 1-20, April.
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    Cited by:

    1. Fabio Corti & Alberto Reatti & Gabriele Maria Lozito & Ermanno Cardelli & Antonino Laudani, 2021. "Influence of Non-Linearity in Losses Estimation of Magnetic Components for DC-DC Converters," Energies, MDPI, vol. 14(20), pages 1-16, October.

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