Abstract

The loss prediction of magnetic materials under dc bias is of great significance for the optimization of magnetic components, because the efficiency evaluation of magnetic components involves core loss computation under dc bias. Aiming to develop a calculation method for magnetic material losses under dc bias, a novel dynamic energetic hysteresis model combining the statistical theory of losses (STL) with a static energetic hysteresis model is proposed. Firstly, the effects of dc bias on the hysteresis, classical, and excess loss components are analyzed, respectively, using STL. Then, based on the equivalent field separation technique, the magnetic fields corresponding to classical and excess losses are derived using the analytical equations proposed by STL. Finally, a new dynamic energetic hysteresis model, which can take all the hysteresis, classical, and excess losses of magnetic materials under dc bias into account, is devised with the superposition principle. The simulation and experimental results confirmed the accuracy and efficiency of the proposed model.

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