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The magnetizing inductance of the medium frequency transformer (MFT) impacts the performance of the isolated dc-dc power converters. The ferrite material is considered for high power transformers but it requires an assembly of type “I” cores resulting in a multi air gap structure of the magnetic core. The authors claim that the multiple air gaps are randomly distributed and that the average air gap length is unpredictable at the industrial design stage. As a consequence, the required effective magnetic permeability and the magnetizing inductance are difficult to achieve within reasonable error margins. This article presents the measurements of the equivalent B(H) and the equivalent magnetic permeability of two three-phase MFT prototypes. The measured equivalent B(H) is used in an FEM simulation and compared against a no load test of a 100 kW isolated dc-dc converter showing a good fit within a 10% error. Further analysis leads to the demonstration that the equivalent magnetic permeability and the average air gap length are nonlinear functions of the number of air gaps. The proposed exponential scaling function enables rapid estimation of the magnetizing inductance based on the ferrite material datasheet only.
Piotr Dworakowski; Andrzej Wilk; Michal Michna; Bruno Lefebvre; Fabien Sixdenier; Michel Mermet-Guyennet. Effective Permeability of Multi Air Gap Ferrite Core 3-Phase Medium Frequency Transformer in Isolated DC-DC Converters. Energies 2020, 13, 1352 .
AMA StylePiotr Dworakowski, Andrzej Wilk, Michal Michna, Bruno Lefebvre, Fabien Sixdenier, Michel Mermet-Guyennet. Effective Permeability of Multi Air Gap Ferrite Core 3-Phase Medium Frequency Transformer in Isolated DC-DC Converters. Energies. 2020; 13 (6):1352.
Chicago/Turabian StylePiotr Dworakowski; Andrzej Wilk; Michal Michna; Bruno Lefebvre; Fabien Sixdenier; Michel Mermet-Guyennet. 2020. "Effective Permeability of Multi Air Gap Ferrite Core 3-Phase Medium Frequency Transformer in Isolated DC-DC Converters." Energies 13, no. 6: 1352.
Electromagnetic interference (EMI) filters design is a rather difficult task where engineers have to choose adequate magnetic materials, design the magnetic circuit and choose the size and number of turns. The final design must achieve the attenuation requirements (constraints) and has to be as compact as possible (goal). Alternating current (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, we developed two frequency-dependent complex permeability models able to be included into SPICE models. After an identification process, the performances of each model are compared to measurements made on a realistic EMI filter prototype in common mode (CM) and differential mode (DM) to see the benefit of the approach. Simulation results are in good agreement with the measured ones especially in the middle frequency range.
Fabien Sixdenier; Ousseynou Yade; Christian Martin; Arnaud Bréard; Christian Vollaire. How to include frequency dependent complex permeability Into SPICE models to improve EMI filters design? AIP Advances 2018, 8, 056604 .
AMA StyleFabien Sixdenier, Ousseynou Yade, Christian Martin, Arnaud Bréard, Christian Vollaire. How to include frequency dependent complex permeability Into SPICE models to improve EMI filters design? AIP Advances. 2018; 8 (5):056604.
Chicago/Turabian StyleFabien Sixdenier; Ousseynou Yade; Christian Martin; Arnaud Bréard; Christian Vollaire. 2018. "How to include frequency dependent complex permeability Into SPICE models to improve EMI filters design?" AIP Advances 8, no. 5: 056604.
Some soft magnetic materials are strongly dependent of the temperature, because of their low Curie temperature. To be able to predict their behaviour in electrical devices, hysteresis models able to take into account the temperature are needed. The vector play static hysteresis model is an interesting hysteresis model that can be modified to be able to take into account the thermal behaviour. In this paper, the temperature is taken into account in this last model through its parameters. The variations of some parameters with temperature are mainly issued from numerical interpolation and specific assumptions. Simulation results are compared to measurements and discussed.
Fabien Sixdenier; Riccardo Scorretti. Numerical model of static hysteresis taking into account temperature. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 2017, 31, e2221 .
AMA StyleFabien Sixdenier, Riccardo Scorretti. Numerical model of static hysteresis taking into account temperature. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 2017; 31 (2):e2221.
Chicago/Turabian StyleFabien Sixdenier; Riccardo Scorretti. 2017. "Numerical model of static hysteresis taking into account temperature." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 31, no. 2: e2221.
In power electronics applications, magnetic components are often subjected to nonsinusoidal waveforms, variable frequencies, and dc bias conditions. These operating conditions generate different losses in the core compared to sinusoidal losses provided by manufacturers. In the conception and design stage, lack of precise losses diagnosis has unacceptable effects on system's efficiency, reliability, and power consumption. Since virtual prototyping is used to predict and improve system's behavior before realization, losses and behavior prediction of components is possible. Circuit simulators and their compatible components models are required. This paper is summarized by proposing nonlinear dynamic model of powdered material magnetic core for use in circuit simulators. It includes the material's nonlinear hysteresis behavior with accurate winding and core modeling. The magnetic component model is implemented in circuit simulation software “Simplorer” using VHDL-AMS modeling language. Waveforms and losses of a powder core inductor in a buck converter application are simulated and compared to measured ones. The model is validated for different ripple currents, different loads, and a wide frequency range. DC bias is taken into account in both continuous and discontinuous conduction modes.
Alaa Hilal; Marie-Ange Raulet; Christian Martin; Fabien Sixdenier. Power Loss Prediction and Precise Modeling of Magnetic Powder Components in DC–DC Power Converter Application. IEEE Transactions on Power Electronics 2014, 30, 2232 -2238.
AMA StyleAlaa Hilal, Marie-Ange Raulet, Christian Martin, Fabien Sixdenier. Power Loss Prediction and Precise Modeling of Magnetic Powder Components in DC–DC Power Converter Application. IEEE Transactions on Power Electronics. 2014; 30 (4):2232-2238.
Chicago/Turabian StyleAlaa Hilal; Marie-Ange Raulet; Christian Martin; Fabien Sixdenier. 2014. "Power Loss Prediction and Precise Modeling of Magnetic Powder Components in DC–DC Power Converter Application." IEEE Transactions on Power Electronics 30, no. 4: 2232-2238.
The aim of this study consists in modeling the magnetic behavior of a nanocrystalline material, taking into account temperature variation. Indeed the development of power electronic embedded systems leads to increase the operating temperature range. Besides nanocrystalline material is used more and more in such systems, so temperature influence is a key point in the magnetic component design.
Thibaut Chailloux; Marie-Ange Raulet; Christian Martin; Charles Joubert; Fabien Sixdenier; Laurent Morel. Magnetic Behavior Representation Taking Into Account the Temperature of a Magnetic Nanocrystalline Material. IEEE Transactions on Magnetics 2012, 48, 455 -458.
AMA StyleThibaut Chailloux, Marie-Ange Raulet, Christian Martin, Charles Joubert, Fabien Sixdenier, Laurent Morel. Magnetic Behavior Representation Taking Into Account the Temperature of a Magnetic Nanocrystalline Material. IEEE Transactions on Magnetics. 2012; 48 (2):455-458.
Chicago/Turabian StyleThibaut Chailloux; Marie-Ange Raulet; Christian Martin; Charles Joubert; Fabien Sixdenier; Laurent Morel. 2012. "Magnetic Behavior Representation Taking Into Account the Temperature of a Magnetic Nanocrystalline Material." IEEE Transactions on Magnetics 48, no. 2: 455-458.