LIU Ren, HUANG Haoran, LU Youhao, et al. Electromagnetic Transient Modeling Method of High-frequency Magnetic Components Considering Core Skin Effect[J]. 2026, 46(3): 1286-1298.
LIU Ren, HUANG Haoran, LU Youhao, et al. Electromagnetic Transient Modeling Method of High-frequency Magnetic Components Considering Core Skin Effect[J]. 2026, 46(3): 1286-1298. DOI: 10.13334/j.0258-8013.pcsee.242184.
The permeance-capacitance analogy method has been widely used in the electromagnetic transient modeling of high-frequency magnetic components
but existing models based on this method assume a uniformly distributed core magnetic field
thereby neglecting the core skin effect under high-frequency excitations. In this paper
the governing equation for the eddy current field of magnetic lamination is approximately expanded by the cosine basis function
and the core magnetic field expression is derived by the integral method. Then
in order to determine its coefficient and consider the hysteresis constitutive relationship of the magnetic core
the basic idea of Galerkin method and the Play hysteresis model are introduced. Thereafter
based on the loss statistical theory
the analytical model of the boundary magnetic field strength of the core considering the domain mesoscopic eddy current is derived. Based on this
a calculation model of electromagnetic transient of high-frequency magnetic components is proposed within the framework of the permeance-capacitance analogy
considering the core skin and hysteresis effects. Finally
the electromagnetic transient models without and with consideration of the core skin effect in the high-frequency inductor of the single-phase bridge PWM inverter are built by the underlying modules and language program of the power electronic simulation software PLECS. The simulated electromagnetic transient characteristics
dynamic hysteresis loops
and magnetic losses under different working conditions are compared with the corresponding measured results. It is found that the simulation results of the proposed model are more consistent with the measured values
reducing the maximum error of magnetic core loss by17.03% relative to the traditional model and thus validating the proposed model.