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首页> 外文期刊>Magnetics, IEEE Transactions on >Prediction of Iron Losses Using Jiles–Atherton Model With Interpolated Parameters Under the Conditions of Frequency and Compressive Stress
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Prediction of Iron Losses Using Jiles–Atherton Model With Interpolated Parameters Under the Conditions of Frequency and Compressive Stress

机译:频率和压应力条件下用带插值参数的Jiles-Atherton模型预测铁损

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摘要

The operating conditions, such as the frequency of excitation and mechanical stress in electrical machines, severely affect the magnetic behavior of ferromagnetic cores, which translates into increased iron losses. The physics-based hysteresis models, such as the Jiles–Atherton (JA) model, can incorporate the effects of operating conditions on iron losses and can be embedded in the finite-element simulations. In this paper, we have implemented the JA model to predict iron losses, and the effect of the frequency of the excitation waveform and compressive stress on the JA model parameters has been investigated. A simple approach is proposed to predict iron losses for any value of frequency and compressive stress using the original JA model equation. This approach not only reduces the computational complexity of the problem, but also reduces the amount of material information required.
机译:电机的励磁频率和机械应力等运行条件会严重影响铁磁芯的磁性能,从而导致铁损增加。基于物理的磁滞模型,例如Jiles-Atherton(JA)模型,可以结合工作条件对铁损的影响,并且可以嵌入到有限元模拟中。在本文中,我们已经实现了JA模型来预测铁损,并研究了激励波形的频率和压应力对JA模型参数的影响。提出了一种简单的方法来使用原始JA模型方程式预测任何频率和压应力值下的铁损。这种方法不仅减少了问题的计算复杂性,而且减少了所需的物质信息量。

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