Implementation of a Nonlinear Planar Magnetics Model

Tria, Lew Andrew R.; Zhang, Daming; Fletcher, John

doi:10.1109/tpel.2015.2503744

Cited by 11 publications

(4 citation statements)

References 21 publications

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“…Time-domain extensions of the Bertotti-and Steinmetz-type eddy-current loss models coupled to hysteresis models were presented in [16]- [20]. In [21], the Jiles-Atherton-hysteresis model was applied for loss prediction in a ferrite inductor. Pulsewidth modulated (PWM) converter voltage quality and its relation to the core losses were discussed in [22].…”

mentioning

confidence: 99%

Simulink Model for PWM-Supplied Laminated Magnetic Cores Including Hysteresis, Eddy-Current, and Excess Losses

Rasilo

Martínez

Fujisaki

et al. 2019

IEEE Trans. Power Electron.

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A new implementation of an iron-loss model for laminated magnetic cores in the MATLAB/Simulink environment is proposed in this paper. The model is based on numerically solving a one-dimensional diffusion problem for the eddy currents in the core lamination and applying an accurate hysteresis model as the constitutive law. An excess loss model is also considered. The model is identified merely based on the catalog data provided by the core material manufacturer. The implementation is validated with analytical and finite-element models and experimentally in the case of a toroidal inductor supplied from a GaN FET full-bridge inverter with 5-500 kHz switching frequencies and a deadtime of 300 ns. Despite the simple identification, a good correspondence is observed between the simulated and measured iron losses, the average difference being 3.3% over the wide switching frequency range. It is shown that accounting for the skin effect in the laminations is significant, in order to correctly model the iron losses at different switching frequencies. Some differences between the measured and simulated results at high switching frequencies are also discussed. The model is concluded to be applicable for designing and analyzing laminated magnetic cores in combination with power-electronics circuits. The Simulink models are openly available.

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mentioning

confidence: 99%

Simulink Model for PWM-Supplied Laminated Magnetic Cores Including Hysteresis, Eddy-Current, and Excess Losses

Rasilo

Martínez

Fujisaki

et al. 2019

IEEE Trans. Power Electron.

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“…The term "racetrack geometry" refers to microtransformers in which the core or the coils are in a shape resembling a racetrack. Any of the possible microtransformer structures (coplanar, multilayer or solenoid) can be made with this geometry [15], [26], [29], [30], [43], [52], [53], [61]- [63], [66], [70]- [84]. In general, the inductance values achieved using this geometry can vary greatly, due to the different parameters involved (structure, dimensions and core used).…”

Section: Racetrackmentioning

confidence: 99%

A Survey on Microtransformers

Nascimento

Telles

Joanni

et al. 2021

JICS

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The miniaturization of magnetic devices is a subject of enduring interest, since inductors and transformers of very small dimensions are constantly being required for integration into microchips and electrical circuit boards. The main objective of this survey is to supply a compilation of the published research on microtransformers, and to work as a support material, helping in the choice of the most appropriate technology and device configuration for a particular application. The text describes the historical development of microtransformers, the structures in which these devices might be assembled, the various proposed geometries, the fabrication processes, and the type of core used. A brief discussion of equivalent circuit modeling is presented. The current state of the technology in relation to commercial devices is then examined, pointing out some unsolved problems that warrant further studies.

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“…The global comparison of 2D and 3D modelling results is made based on the relative resistance factor F r (16). This factor, applied to copper windings, allows quantifying the increase of resistance with frequency.…”

Section: Overall Analysis: Resistive Factor Comparisonmentioning

confidence: 99%

“…This paper investigates the problem of HF planar component numerical modelling. In the literature, numerous papers present 1D planar modelling [13][14][15][16] as well as comparison between analytical calculations to 2D numerical computations for copper losses evaluation [17][18][19][20][21][22]. Although analytical models are precise in low frequency (LF), the error on copper loss calculations strongly increases with frequency and can reach >20% in HF [17].…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling of PCB planar inductors: impact of 3D modelling on high‐frequency copper loss evaluation

Taylor

Margueron

Menach

et al. 2017

IET Power Electronics

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Loss values are key parameters for designing high performance high frequency (HF) magnetic components for power electronics (PE) converters. With the increase of PE switching frequencies, copper losses have to be precisely quantified, ideally until some megahertz. In the literature, many 2D numerical simulations based on finite element analysis (FEA) are performed for such computations. 3D FEA studies of planar components are still limited because of modeling problems, computational resources and computing time. In this paper, quantitative comparisons between 2D and 3D simulation results for planar inductors are achieved focusing on copper loss computation. Results are compared in terms of simulation performances and accuracy. The aim of the paper is to highlight benefits of 2D and 3D FEA simulations in order to choose the appropriate model according to the studied problem.

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Implementation of a Nonlinear Planar Magnetics Model

Cited by 11 publications

References 21 publications

Simulink Model for PWM-Supplied Laminated Magnetic Cores Including Hysteresis, Eddy-Current, and Excess Losses

Simulink Model for PWM-Supplied Laminated Magnetic Cores Including Hysteresis, Eddy-Current, and Excess Losses

A Survey on Microtransformers

Numerical modelling of PCB planar inductors: impact of 3D modelling on high‐frequency copper loss evaluation

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