Power Loss Prediction and Precise Modeling of Magnetic Powder Components in DC-DC Power Converter Application - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Power Electronics Year : 2015

Power Loss Prediction and Precise Modeling of Magnetic Powder Components in DC-DC Power Converter Application

Abstract

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 sys-tem'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.
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Dates and versions

hal-01374136 , version 1 (30-09-2016)

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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, 2015, 30, pp.2232 - 2238. ⟨10.1109/TPEL.2014.2330952⟩. ⟨hal-01374136⟩
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