2-D analytical winding losses model of micro-inductor

Yangkun Li, Xingkui Mao, Jungao Zhu, Jiqing Dong, Zhe Zhang

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Abstract

Since the magnetic field distribution in winding window of thin film micro-inductor with closed magnetic core has obvious 2-D characteristics, the accuracy of 1-D analytical model for its winding AC losses is poor. The magnetic field of the micro-inductor is analyzed deeply to show that its distribution along the winding edge does not change with frequency. According to the analysis result, the magnetic field strength around the winding edge is calculated with the Ampere’s law. And the 2-D magnetic field is decomposed into an x component and y component in rectangular coordinates. Then based on the superposition and uniqueness law of magnetic field, a 2-D analytical winding losses model of thin film micro-inductor is proposed. Finally, the finite element analysis (FEA) simulation verified the loss model to have high accuracy under wide exciting current frequency and the loss model can be used easily.
Original languageEnglish
Title of host publicationProceedings of 45th Annual Conference of the IEEE Industrial Electronics Society
Number of pages6
PublisherIEEE
Publication date2020
ISBN (Electronic)978-1-7281-4878-6
DOIs
Publication statusPublished - 2020
Event45th Annual Conference of the IEEE Industrial Electronics Society (IECON 2019) - Lisbon Congress Center, Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019
Conference number: 45
https://iecon2019.org/

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society (IECON 2019)
Number45
LocationLisbon Congress Center
CountryPortugal
CityLisbon
Period14/10/201917/10/2019
Internet address

Keywords

  • Micro-inductor
  • Thin film
  • Winding losses
  • Magnetic field
  • 2-D analytical winding losses model

Cite this

Li, Y., Mao, X., Zhu, J., Dong, J., & Zhang, Z. (2020). 2-D analytical winding losses model of micro-inductor. In Proceedings of 45th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON.2019.8926792