Loss Experiment of Silicon Steel Sheet and Engineering Simulation Research on Loss Characteristic Model with Variable Parameters

Abstract

The magnetization and loss characteristics of the silicon steel sheet (20WTG1500) are experimentally measured using the Epstein frame method, based on which simulation study of the loss characteristics is carried out. First, the measured loss data at different frequencies are fitted based on the classical Steinmetz model. When working, a trust-region algorithm incorporating a reflective mechanism is used to precisely solve the unknown parameter values within the classical Steinmetz loss model. Aiming at the problems of the classical Steinmetz model, a kind of variable parameter, closely related to the frequency, is reconstructed by the parameter values in the classical loss model. Then, the improved Steinmetz loss model with the variable parameter is investigated. The improved Steinmetz model is applied to various working conditions, and its effectiveness is verified by comparing the simulation results of the improved model with the measured data.

Keywords

Epstein frame steinmetz loss model data fitting trust-region algorithm

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References

Ayachit

Kazimierczuk

M. K.

(2016). Steinmetz equation for gapped magnetic cores. IEEE Magnetics Letters, 7(3), 1–4. https://doi.org/10.1109/LMAG.2016.2540609 .

Bertotti

(1988). General properties of power losses in soft ferromagnetic materials. IEEE Transactions on Magnetics, 24(1), 621–630. https://doi.org/10.1109/20.43994

Congcong

Dandan

Zhenyang

, et al. (2020). Magnetic loss calculation methods of electrical magnetic materials are reviewed. Electrical Engineering Materials, 6, 11–15. https://doi.org/10.16786/j.cnki.1671-8887.eem.2020.06.003

Dandan

Congcong

Zhenyang

, et al. (2021). Core loss calculation based on improved bertotti loss separation model. Research and Exploration in Laboratory, 40(4), 19–23. https://doi.org/10.19927/j.cnki.syyt.2021.04.005

Gang

Lipeng

Xuegang

, et al. (2018). Improvement of core loss calculation method and simulation application under sinusoidal and harmonic excitations. Transactions of China Electrotechnical Society, 33(21), 4909–4918. https://doi.org/10.19595/j.cnki.1000-6753.tces.181050

Hussain

Lowther

D. A.

(2018). An efficient implementation of the classical preisach model. IEEE Transactions on Magnetics, 54(3), 1–4. https://doi.org/10.1109/TMAG.2017.2748100

Jiles

D. C.

Thoelke

J. B.

Devine

M. K.

(1992). Numerical determination of hysteresis parameters for the modeling of magnetic properties using the theory of ferromagnetic hysteresis. IEEE Transactions on Magnetics, 28(1), 27–35. https://doi.org/10.1109/20.119813

T. M.

Fatahi

Khabbaz

, et al. (2017). Numerical optimization applying trust-region reflective least squares algorithm with constraints to optimize the non-linear creep parameters of soft soil. Applied. Mathematic. Modelling, 41(1), 236–256. https://doi.org/10.1016/j.apm.2016.08.034 .

Liansong

(2017). Research on Iron Losses Separation and Prediction of Ferromagnetic Material under Sinusoidal Supply, North China Electric Power University.

10.

Lihua

Jingjing

Qingxin

, et al. (2020). An improved magnetostriction model for electrical steel sheet based on jiles–atherton model. IEEE Transactions on Magnetics, 56(3), 1–4. https://doi.org/10.1109/TMAG.2019.2951824

11.

Litao

Nanfei

Dong

, et al. (2020). Application of trust region method in infrared image sequence processing. Infrared and Laser Engineering, 49(7), 258–264. https://doi.org/10.3788/IRLA20190505

12.

Wang

Yuan

(2022). Improvement on loss separation method for core loss calculation under high-frequency sinusoidal and nonsinusoidal excitation. IEEE Transactions on Magnetics, 58(8), 1–9. https://doi.org/10.1109/TMAG.2022.3190443

13.

Yamazaki

Fukushima

(2010). Iron-Loss modeling for rotating machines: Comparison between bertotti's three-term expression and 3-D eddy-current analysis. IEEE Transactions on Magnetics, 46(8), 3121–3124. https://doi.org/10.1109/TMAG.2010.2044384

14.

Yang

, et al. (2019). Loss characteristics and model verification of soft magnetic composites under non-sinusoidal excitation. IEEE Transactions on Magnetics, 55(2), 1–4. https://doi.org/10.1109/TMAG.2018.2869379

15.

Yue

Yang

, et al. (2018). Comparative analysis of core loss calculation methods for magnetic materials under nonsinusoidal excitations. IEEE Transactions on Magnetics, 54(11), 1–5. https://doi.org/10.1109/TMAG.2018.2842064

16.

Zhang

Wang

(2018). Improved E&S model for core loss calculation of brushless doubly fed machine with hybrid rotor. IEEE Transactions on Magnetics, 54(11), 1–5. https://doi.org/10.1109/TMAG.2018.2835503

17.

Zhigang

Ying

, et al. (2019). Calculation and verification of harmonic magnetic loss of transformer core based on improved bertotti model. Journal of Tianjin University (Science and Technology), 52(12), 1270–1277. https://doi.org/10.11784/tdxbz201809059