| Issue |
EPJ Web Conf.
Volume 372, 2026
Advanced Power Systems (APS 2026)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 7 | |
| Section | Power Electronics in Energy Applications | |
| DOI | https://doi.org/10.1051/epjconf/202637204001 | |
| Published online | 11 June 2026 | |
https://doi.org/10.1051/epjconf/202637204001
Experimental validation of a variable-permeance G-C magnetic model for a SEPIC converter
1 “Gheorghe Asachi” Technical University of Iasi, Faculty of Electrical Engineering, Iasi, Romania
2 “Gheorghe Asachi” Technical University of Iasi, Faculty of Electrical Engineering, Iasi, Romania
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 11 June 2026
Abstract
This paper validates a nonlinear magnetic modeling approach based on a variable-permeance gyrator–capacitor (G–C) representation for the design of SEPIC (Single-Ended Primary-Inductor Converter) converters operating with highly uneven current stress profiles. In many practical applications, the converter runs predominantly at a nominal current level, while short-duration peaks can exceed the nominal value by more than a factor of two. An optimal design can therefore target the required inductance around nominal operation and allow a controlled inductance roll-off as peak current is approached. To assess the predictive capability of the G–C model in this context, a wide-input SEPIC converter is analysed at worst-case minimum input voltage and across multiple load points near the high-current region. Simulated inductor current waveforms, output-voltage ripple, and a large-signal load-step response are directly compared against oscilloscope measurements from a hardware prototype. The results show that the model reproduces the trend of saturation onset and provides actionable insight through the simulated magnetic flux density B, supporting inductor selection and design-margin decisions while reducing reliance on repeated prototyping.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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