Innovative shielding technique for wireless power transfer systems

A Canova, F Corti, A Laudani, GM Lozito… - IET Power …, 2024 - Wiley Online Library
Abstract The High Magnetic Passive Loop (HMCPL) technique is proposed as an innovative
passive shielding system to mitigate the undesired dispersion of the magnetic field produced …

Properties of additively manufactured electric steel powder cores with increased Si content

G Stornelli, A Faba, A Di Schino, P Folgarait, MR Ridolfi… - Materials, 2021 - mdpi.com
In this paper, the best laser powder bed fusion (L-PBF) printing conditions for FeSi steels
with two different Si content (3.0% and 6.5%) are defined. Results show very strict …

An effective neural network approach to reproduce magnetic hysteresis in electrical steel under arbitrary excitation waveforms

SQ Antonio, FR Fulginei, A Laudani, A Faba… - Journal of Magnetism …, 2021 - Elsevier
A computationally efficient and robust neural network-based model to reproduce the
hysteresis phenomenon for soft ferromagnetic alloys is here presented, as well as a …

An overview of non-destructive testing of goss texture in grain-oriented magnetic steels

A Faba, S Quondam Antonio - Mathematics, 2021 - mdpi.com
Grain oriented steels are widely used for electrical machines and components, such as
transformers and reactors, due to their high magnetic permeability and low power losses …

Design and comparison of the performance of 12-pulse rectifiers for aerospace applications

F Corti, A Hassan Shehata, A Laudani, E Cardelli - Energies, 2021 - mdpi.com
In this paper, a conventional 12-pulse transformer unit (CTU) and an autotransformer 12-
pulse transformer unit (ATU) are compared in the view of the RTCA DO-160 standard for …

A Comparative Analysis on Different Deep Neural Network Models for Magnetic Hysteresis with Distorted Excitation Waveforms

GM Lozito, M Quercio, L Sabino… - … on Electrical Machines …, 2024 - ieeexplore.ieee.org
Hereby presented is a comparative analysis of different deep neural network models aimed
at simulating magnetic hysteresis under distorted excitation waveforms. Specifically feed …

Neural network modeling of arbitrary hysteresis processes: Application to GO ferromagnetic steel

S Quondam Antonio, V Bonaiuto, F Sargeni… - Magnetochemistry, 2022 - mdpi.com
A computationally efficient hysteresis model, based on a standalone deep neural network,
with the capability of reproducing the evolution of the magnetization under arbitrary …

Circuit Modelling of Static Magnetic Losses of Ferrite Cores and Application on an LLC Converter

V Bertolini, M Stella, R Scorretti - IEEE EUROCON 2023-20th …, 2023 - ieeexplore.ieee.org
An accurate circuital model is used to take into account the real behavior of magnetic
components. Non-linearity and hysteresis losses are taken into account by proper circuital …

Vector hysteresis processes for innovative FE-SI magnetic powder cores: Experiments and neural network modeling

S Quondam Antonio, F Riganti Fulginei, A Faba… - Magnetochemistry, 2021 - mdpi.com
A thorough investigation of the 2-D hysteresis processes under arbitrary excitations was
carried out for a specimen of innovative Fe-Si magnetic powder material. The vector …

Measurements of magnetic characteristics of laminated Fe-Si steel filter inductors in grid interface converters

A Faba, HP Rimal, A Laudani, F Chilosi, E Cardelli - Measurement, 2022 - Elsevier
The knowledge of the magnetic characteristic of an inductor is a key factor for the design of
filters of power converter systems for electric grid interfaces. The accurate and reliable …