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Loss Prediction in DC-Biased Magnetic Sheets

机译:直流偏置磁片的损耗预测

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Power losses in soft magnetic materials can be solidly assessed by the statistical theory of losses (STLs), which provides physical foundation to the concept of loss separation. The theory is, however, limited to the conventional case of symmetric hysteresis loops and cannot be straightforwardly applied for a magnetic core operating under a dc bias. We show, in this paper, that such constraint can be released by combining the STL with a simplified approach to the dynamic Preisach model. This approach leads to the more affordable static Preisach model with largely reduced computation time. In this way, the hysteresis and excess loss components, with and without dc bias, are identified and calculated starting from a minimum set of experimental data. We provide a wide-ranging experimental validation of the theory, which is applied to the behavior of the energy loss versus frequency, measured up to f = 1 kHz, in non-oriented and grain-oriented iron-silicon sheets and in iron-cobalt alloys, subject to different polarization bias levels.
机译:软磁材料中的功率损耗可以通过损耗统计理论(STL)进行可靠评估,该理论为损耗分离的概念提供了物理基础。然而,该理论限于对称磁滞回线的常规情况,并且不能直接应用于在直流偏置下工作的磁芯。我们在本文中表明,可以通过将STL与简化的动态Preisach模型方法相结合来释放这种约束。这种方法导致更便宜的静态Preisach模型,并且大大减少了计算时间。通过这种方式,可以从一组最小的实验数据开始识别并计算具有和不具有直流偏置的磁滞和超额损耗成分。我们提供了该理论的广泛实验验证,该理论适用于在无取向和晶粒取向的铁硅片以及铁钴合金中,能量损耗随频率变化的行为,测量频率高达f = 1 kHz合金,经受不同的极化偏压水平。

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