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Modeling of Magnetic Elements Including Losses—Application to Variable Inductor

Author

Listed:
  • Sarah Saeed

    (LEMUR Research Group, Department of Electrical, Electronics, Computers and Systems Engineering, University of Oviedo, 33204 Gijon, Spain)

  • Ramy Georgious

    (LEMUR Research Group, Department of Electrical, Electronics, Computers and Systems Engineering, University of Oviedo, 33204 Gijon, Spain)

  • Jorge Garcia

    (LEMUR Research Group, Department of Electrical, Electronics, Computers and Systems Engineering, University of Oviedo, 33204 Gijon, Spain)

Abstract

This paper proposes and develops a circuit-based model aiming to simulate variable magnetic power elements in power electronic converters. The derived model represents the magnetic element by a reluctance-based equivalent circuit. The model takes into consideration device core losses, with the main emphasis given to hysteresis losses, which are modeled using the Jiles-Atherton model. The core loss model is further validated on different ferromagnetic materials to prove its range of applicability. The winding losses of the magnetic device are also taken into consideration, which are obtained using Dowell empirical formulas. In addition, the frequency dependence of the device losses is also considered. The proposed modeling procedure has been applied to study and characterize a double E-core variable power inductor structure in a 1 kW SiC full bridge DC-DC converter. The procedure has been verified by comparing the simulation results to the experimental measurements, confirming the validity and accuracy of the full circuit-based model.

Suggested Citation

  • Sarah Saeed & Ramy Georgious & Jorge Garcia, 2020. "Modeling of Magnetic Elements Including Losses—Application to Variable Inductor," Energies, MDPI, vol. 13(8), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:1865-:d:344281
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    Citations

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    Cited by:

    1. Guangming Xue & Hongbai Bai & Tuo Li & Zhiying Ren & Xingxing Liu & Chunhong Lu, 2022. "Numerical Solving Method for Jiles-Atherton Model and Influence Analysis of the Initial Magnetic Field on Hysteresis," Mathematics, MDPI, vol. 10(23), pages 1-16, November.
    2. Krzysztof Górecki & Kalina Detka, 2023. "SPICE-Aided Models of Magnetic Elements—A Critical Review," Energies, MDPI, vol. 16(18), pages 1-27, September.
    3. Miklós Kuczmann & Tamás Orosz, 2023. "Temperature-Dependent Ferromagnetic Loss Approximation of an Induction Machine Stator Core Material Based on Laboratory Test Measurements," Energies, MDPI, vol. 16(3), pages 1-17, January.
    4. Daniele Scirè & Gianpaolo Vitale & Marco Ventimiglia & Giuseppe Lullo, 2021. "Non-Linear Inductors Characterization in Real Operating Conditions for Power Density Optimization in SMPS," Energies, MDPI, vol. 14(13), pages 1-19, June.
    5. Łukasz Ciepliński & Michał Gwóźdź & Rafał M. Wojciechowski, 2022. "Application of a Tuned Inductor in a DC Power Supply with an Active Compensation Function," Energies, MDPI, vol. 15(17), pages 1-15, August.
    6. Dejana Herceg & Krzysztof Chwastek & Đorđe Herceg, 2020. "The Use of Hypergeometric Functions in Hysteresis Modeling," Energies, MDPI, vol. 13(24), pages 1-14, December.
    7. 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.
    8. Michał Gwóźdź, 2022. "The Application of Tuned Inductors in Electric Power Systems," Energies, MDPI, vol. 15(22), pages 1-13, November.

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