| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sixdenier, Fabien
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2023Behaviour of electrical steels under rotationnal magnetization and high temperatures
- 2022Conception et réalisation d'un dispositif de caractérisations magnétiques 2D en température
- 2022An analytical formula to identify the parameters of the energy-based hysteresis modelcitations
- 2017Including Frequency Dependent Complex Permeability Into SPICE Models To Improve EMI Filters Design
- 2017Impact Of Some Manufacturing Processes On Magnetic Properties Of Nanocrystalline Cores : Core Shape, Ribbon Shearing And Ribbon Width
- 2017Core Shape, Ribbon Shearing and Ribbon Width Influence on Magnetic Properties of Nanocrystalline Tape Wound Cores.
- 2016Inductance self-heating transient modeling
- 2015Influence of Various Technological Manufacturing Processes on the Magnetic Properties of Nanocrystalline Cores
- 2012Magnetic Behavior Representation Taking Into Account the Temperature of a Magnetic Nanocrystalline Materialcitations
- 2011Magnetical behaviour representation taking into account the temperature of a magnetic nanocrystalline material
- 2009Electromagnetic Characterization of Biological Tissues with Particle Swarm Optimization
Places of action
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conferencepaper
Including Frequency Dependent Complex Permeability Into SPICE Models To Improve EMI Filters Design
Abstract
International audience ; EMI filters design is a rather difficult task. This is particularly true for common mode and differential mode inductors. Indeed, engineers have to choose adequate materials, design the magnetic circuit, and choose the number of turns. The final design must achieve the attenuation requirements (constraints) and has to be as compact as possible (goal). AC analysis is a powerful tool to predict global impedance or attenuation of any filter. However, AC analysis are generally performed without taking into account the frequency-dependent complex permeability behaviour of soft magnetic materials. That’s why, in this paper, we developped two complex permeability frequency dependent models. Both models are build thanks to the references [1], [2] and [3]. Simulated (from one model only) and measured (on a Fe-based nanocrystalline material) real and imaginary parts of the complex permeability are shown in Fig 1. Once the model fully implemented, 4 different simulations of a complete EMI filter were carried out (see Fig.2): case “a” : Inductors and capacitors are ideal case “b” : Inductors are ideal and capacitors are not (replaced by serial RLC model) case “c” : Inductors are replaced by one of our model, capacitors are as in case 2 case “d” : Windings parasitic capacitances are added to the EMI filter model It can be seen in Fig.2, that including the frequency-dependent complex permeability model in the EMI filter simulation improved significantly the accuracy (case “c” versus “a” and “b”) between 20 kHz and 1 MHz. It is specifically in this range that the permeabilty is changing a lot (see Fig.1). After 1 MHz, it is necessary to add a parasitic capacitor to the model to be more realistic (case “c” versus “d” and measurement). The extended paper will explain in detail the both models of frequency-dependent complex permeability and how to implement them in LTSpice software. Results of both models will be compared and discussed (some new cases of simulation may be added).