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Influence of Non-Linearity in Losses Estimation of Magnetic Components for DC-DC Converters

Author

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  • Fabio Corti

    (Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy
    Department of Information Engineering, University of Firenze, Via di Santa Marta 3, 50139 Firenze, Italy)

  • Alberto Reatti

    (Department of Information Engineering, University of Firenze, Via di Santa Marta 3, 50139 Firenze, Italy)

  • Gabriele Maria Lozito

    (Department of Information Engineering, University of Firenze, Via di Santa Marta 3, 50139 Firenze, Italy)

  • Ermanno Cardelli

    (Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy)

  • Antonino Laudani

    (Department of Industrial Engineering Electronics and Mechanics, University of Roma 3, Via Vito Volterra 62b, 00146 Roma, Italy)

Abstract

In this paper, the problem of estimating the core losses for inductive components is addressed. A novel methodology is applied to estimate the core losses of an inductor in a DC-DC converter in the time-domain. The methodology addresses both the non-linearity and dynamic behavior of the core magnetic material and the non-uniformity of the field distribution for the device geometry. The methodology is natively implemented using the LTSpice simulation environment and can be used to include an accurate behavioral model of the magnetic devices in a more complex lumped circuit. The methodology is compared against classic estimation techniques such as Steinmetz Equation and the improved Generalized Steinmetz Equation. The validation is performed on a practical DC-DC Buck converter, which was utilized to experimentally verify the results derived by a model suitable to estimate the inductor losses. Both simulation and experimental test confirm the accuracy of the proposed methodology. Thus, the proposed technique can be flexibly used both for direct core loss estimation and the realization of a subsystem able to simulate the realistic behavior of an inductor within a more complex lumped circuit.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6498-:d:653274
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    References listed on IDEAS

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    1. Witold Mazgaj & Michal Sierzega & Zbigniew Szular, 2021. "Approximation of Hysteresis Changes in Electrical Steel Sheets," Energies, MDPI, vol. 14(14), pages 1-18, July.
    2. Salvatore Musumeci & Luigi Solimene & Carlo Stefano Ragusa, 2021. "Identification of DC Thermal Steady-State Differential Inductance of Ferrite Power Inductors," Energies, MDPI, vol. 14(13), pages 1-15, June.
    3. Kalina Detka & Krzysztof Górecki & Piotr Grzejszczak & Roman Barlik, 2021. "Modeling and Measurements of Properties of Coupled Inductors," Energies, MDPI, vol. 14(14), pages 1-17, July.
    4. Jeong-In Lee & Kyung-Hun Shin & Tae-Kyoung Bang & Kyong-Hwan Kim & Key-Yong Hong & Jang-Young Choi, 2021. "Core-Loss Analysis of Linear Magnetic Gears Using the Analytical Method," Energies, MDPI, vol. 14(10), pages 1-10, May.
    5. Alberto Castellazzi & Emre Gurpinar & Zhenyu Wang & Abdallah Suliman Hussein & Pablo Garcia Fernandez, 2019. "Impact of Wide-Bandgap Technology on Renewable Energy and Smart-Grid Power Conversion Applications Including Storage," Energies, MDPI, vol. 12(23), pages 1-14, November.
    6. 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.
    7. 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.
    8. Jelena Loncarski & Vito Giuseppe Monopoli & Riccardo Leuzzi & Leposava Ristic & Francesco Cupertino, 2019. "Analytical and Simulation Fair Comparison of Three Level Si IGBT Based NPC Topologies and Two Level SiC MOSFET Based Topology for High Speed Drives," Energies, MDPI, vol. 12(23), pages 1-16, November.
    9. Dejana Herceg & Krzysztof Chwastek & Đorđe Herceg, 2020. "The Use of Hypergeometric Functions in Hysteresis Modeling," Energies, MDPI, vol. 13(24), pages 1-14, December.
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