Prediction of Iron Losses Using Jiles–Atherton Model With Interpolated Parameters Under the Conditions of Frequency and Compressive Stress

Abstract

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.