volume | PIER Journals

Abstract

In this paper, a new fast and accurate method, the Flux Integral Path (FIP) method, is proposed for switched reluctance motor (SRM) to analyze the iron loss. The magnetic flux generated by the stator poles is integrated over a period of time, then, the eddy current loss and the hysteresis loss of the whole SRM can be directly calculated by analyzing the path distribution of the flux closed loop without dividing the motor into four blocks (stator pole, stator yoke, rotor pole and rotor yoke). The concept of flux flow is introduced to calculate the eddy current loss, and the piecewise linear fitting of flux density curve in the period is used to approximate the differential and simplify the hysteresis loss calculation. The FIP method can be well applied to non-sinusoidal and nonlinear magnetic density of SRM because of the combination of Finite Element Analysis (FEA) simulation. Furthermore, the loss separation model and the Fast Fourier Transform (FFT) method were compared with the FIP method of the iron loss calculation, and the 2D FEA simulation results were used to verify the method proposed in this paper.

1. Hu, J., Y. Wang, H. Fujimoto, and Y. Hori, "Robust yaw stability control for in-wheel motor electric vehicles," IEEE-ASME Trans. Mechatron., Vol. 22, No. 3, 1360-1370, June 2017.
doi:10.1109/TMECH.2017.2677998 Google Scholar

2. Valdivia, V., R. Todd, F. J. Bryan, A. Barrado, A. Lázaro, and A. J. Forsyth, "Behavioral modeling of a switched reluctance generator for aircraft power systems," IEEE Trans. Ind. Electron., Vol. 61, No. 6, 2690-2699, June 2014.
doi:10.1109/TIE.2013.2276768 Google Scholar

3. Li, Z., X. Yu, Z. Qian, X. Wang, Y. Xiao, and H. Sun, "Generation characteristics analysis of deflection type double stator switched reluctance generator," IEEE Access, Vol. 8, 196175-196186, 2020.
doi:10.1109/ACCESS.2020.3034467 Google Scholar

4. Yamazaki, K. and K. Kanbayashi, "Shape optimization of induction machines by using combination of frequency- and time-domain finite element methods," IEEE Transactions on Magnetics, Vol. 49, No. 5, 2185-2188, May 2013.
doi:10.1109/TMAG.2013.2244588 Google Scholar

5. Mthombeni, L. T., P. Pillay, and N. A. Singampalli, "Lamination core loss measurements in machines operating with PWM or nonsinusoidal excitation," IEEE International Electric Machines and Drives Conference 2003, IEMDC'03, Vol. 2, 742-746, 2003.
doi:10.1109/IEMDC.2003.1210319 Google Scholar

6. Lavers, J., P. Biringer, and H. Hollitscher, "A simple method of estimating the minor loop hysteresis loss in thin laminations," IEEE Transactions on Magnetics, Vol. 14, No. 5, 386-388, September 1978.
doi:10.1109/TMAG.1978.1059858 Google Scholar

7. Hayashi, Y. and T. J. E. Miller, "A new approach to calculating core losses in the SRM," IEEE Trans. Ind. Appl., Vol. 31, No. 5, 1039-1046, September-October 1995.
doi:10.1109/28.464517 Google Scholar

8. Ganji, B., Z. Mansourkiaee, and J. Faiz, "A fast general core loss model for switched reluctance machine," Energy, Vol. 89, 100-105, 2015.
doi:10.1016/j.energy.2015.07.058 Google Scholar

9. Faiz, J., B. Ganji, C. E. Carstensen, and R. W. De Doncker, "Loss prediction in switched reluctance motors using finite element method," Eur. Trans. Electr. Power, Vol. 19, No. 5, 731-748, July 2009.
doi:10.1002/etep.252 Google Scholar

10. Bouchnaifa, J., K. GrariaAnas, A. Benslimaneb, and F. Jeffali, "Analytical approach and thermal signature of Switched reluctance motor iron losses," Materials Today: Proceedings, Vol. 27, No. 4, 3161-3166, 2020.
doi:10.1016/j.matpr.2020.04.031 Google Scholar

11. Shen, W., F. Wang, D. Boroyevich, and C. W. Tipton, "Loss characterization and calculation of nanocrystalline cores for high-frequency magnetics applications," IEEE Trans. Power Electron., Vol. 23, No. 1, 475-484, January 2008.
doi:10.1109/TPEL.2007.911881 Google Scholar

12. Yu, Q., B. Bilgin, and A. Emadi, "Loss and efficiency analysis of switched reluctance machines using a new calculation method," IEEE Trans. Ind. Electron., Vol. 62, No. 5, 3072-3080, May 2015.
doi:10.1109/TIE.2015.2392716 Google Scholar

13. Yan, W., H. Chen, Y. Liu, and C. Chan, "Iron loss and temperature analysis of switched reluctance motor for electric vehicles," IET Electr. Power Appl., Vol. 14, No. 11, 2119-2127, 2020.
doi:10.1049/iet-epa.2020.0166 Google Scholar

14. Shahriari Nasab, P., M. Moallem, E. Shirani Chaharsoghi, C. Caicedo-Narvaez, and B. Fahimi, "Predicting temperature profile on the surface of a switched reluctance motor using a fast and accurate magneto-thermal model," IEEE Trans. Energy Convers., Vol. 35, No. 3, 1394-1401, September 2020.
doi:10.1109/TEC.2020.2974789 Google Scholar

15. Sixdenier, F., L. Morel, and J. P. Masson, "Introducing dynamic behavior of magnetic materials into a model of a switched reluctance motor drive," IEEE Transactions on Magnetics, Vol. 42, No. 3, 398-404, March 2006.
doi:10.1109/TMAG.2005.862757 Google Scholar

16. Petrea, L., C. Demian, J. F. Brudny, and T. Belgrand, "High-frequency harmonic effects on low-frequency iron losses," IEEE Transactions on Magnetics, Vol. 50, No. 11, 1-4, November 2014.
doi:10.1109/TMAG.2014.2332431 Google Scholar

17. Yang, L., C. Liu, and J. Yan, "A study on iron loss finite element analysis of switched reluctance motor based on a double-frequency method," Proceedings of the CSEE, Vol. 26, No. 12, 117-121, June 2006. Google Scholar

Dr. Kuo Li

Professor Aide Xu

Dr. Bing Leng

Dr. Yang Yang

Dr. Jinghao Sun