IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i13p3924-d585787.html
   My bibliography  Save this article

Non-Linear Inductors Characterization in Real Operating Conditions for Power Density Optimization in SMPS

Author

Listed:
  • Daniele Scirè

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Gianpaolo Vitale

    (Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), 90146 Palermo, Italy)

  • Marco Ventimiglia

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Giuseppe Lullo

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

Abstract

The exploitation of power inductors outside their linear region in switching converters can be achieved by raising the current until a decrease in the inductance can be noticed. This allows using a smaller magnetic core, increasing the power density of the converter. On the other hand, a detailed description of the magnetization curve including the temperature is required. Since this information is often not included in the inductor’s datasheets, this paper shows how to identify the behavior of an inductor when it is operated up to saturation and its temperature rises. In order to characterize the inductor in real operating conditions, a dedicated measurement rig was developed. It consists of a switching converter that encompasses the inductor under test and is controlled by a virtual instrument developed in LabVIEW. The characterization system was tested by retrieving the inductance and the magnetization curves vs. current for two commercial inductors at core temperatures up to 105 °C. The magnetic core was then characterized by the saturation current vs. inductance, obtaining an expression for the whole family of inductors sharing the same core. Finally, we experimentally analyzed the thermal transient of the inductors in operating conditions, confirming the fundamental role of the temperature in changing the current profiles and the core saturation condition.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3924-:d:585787
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/13/3924/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/13/3924/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yitao Liu & Shan Yin & Xuewei Pan & Huaizhi Wang & Guibin Wang & Jianchun Peng, 2017. "Effects of Nonlinearity in Input Filter on the Dynamic Behavior of an Interleaved Boost PFC Converter," Energies, MDPI, vol. 10(10), pages 1-14, October.
    2. 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.
    3. Krzysztof Górecki & Kalina Detka, 2019. "Influence of Power Losses in the Inductor Core on Characteristics of Selected DC–DC Converters," Energies, MDPI, vol. 12(10), pages 1-15, May.
    4. Xianxu Huo & Ke Xu & Ruixin Liu & Xi Chen & Zhanchun Li & Haiyun Yan, 2019. "A Structure-Reconfigurable Soft-Switching DC-DC Converter for Wide-Range Applications," Energies, MDPI, vol. 12(15), pages 1-25, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Roman Gozdur & Piotr Gębara & Krzysztof Chwastek, 2020. "A Study of Temperature-Dependent Hysteresis Curves for a Magnetocaloric Composite Based on La(Fe, Mn, Si) 13 -H Type Alloys," Energies, MDPI, vol. 13(6), pages 1-15, March.
    4. 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.
    5. Krzysztof Górecki & Kalina Detka, 2023. "SPICE-Aided Models of Magnetic Elements—A Critical Review," Energies, MDPI, vol. 16(18), pages 1-27, September.
    6. Joanna Patrzyk & Damian Bisewski & Janusz Zarębski, 2020. "Electrothermal Model of SiC Power BJT," Energies, MDPI, vol. 13(10), pages 1-9, May.
    7. 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.
    8. Cleonor C. das Neves & Walter B. Junior & Renan L. P. de Medeiros & Florindo A. C. Ayres Junior & Iury V. Bessa & Isaías V. Bessa & Gabriela de M. Veroneze & Luiz E. S. e Silva & Nei J. S. Farias, 2020. "Direct Form Digital Robust RST Control Based on Chebyshev Sphere Optimization Applied in a DC-DC Power Converter," Energies, MDPI, vol. 13(15), pages 1-22, July.
    9. Ming-Chang Tsou & Ming-Tse Kuo, 2020. "Optimal Combination Design of a Light Emitting Diode Matrix Applicable to a Single-Stage Flyback Driver," Energies, MDPI, vol. 13(19), pages 1-16, October.
    10. Dejana Herceg & Krzysztof Chwastek & Đorđe Herceg, 2020. "The Use of Hypergeometric Functions in Hysteresis Modeling," Energies, MDPI, vol. 13(24), pages 1-14, December.
    11. Miran Rodič & Miro Milanovič & Mitja Truntič, 2018. "Digital Control of an Interleaving Operated Buck-Boost Synchronous Converter Used in a Low-Cost Testing System for an Automotive Powertrain," Energies, MDPI, vol. 11(9), pages 1-24, August.
    12. Lijin Kunjuramakurup & Sheik Mohammed Sulthan & Muhammed Shanir Ponparakkal & Veena Raj & Mathew Sathyajith, 2023. "A High-Power Solar PV-fed TISO DC-DC Converter for Electric Vehicle Charging Applications," Energies, MDPI, vol. 16(5), pages 1-22, February.
    13. Kalina Detka & Krzysztof Górecki, 2020. "Influence of the Size and Shape of Magnetic Core on Thermal Parameters of the Inductor," Energies, MDPI, vol. 13(15), pages 1-20, July.
    14. 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.
    15. Michał Gwóźdź, 2022. "The Application of Tuned Inductors in Electric Power Systems," Energies, MDPI, vol. 15(22), pages 1-13, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3924-:d:585787. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.