Improvement of the model of power losses in the pulsed current traction motor in an electric locomotive

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.218542

Keywords:

magnetic losses, eddy currents, hysteresis, traction motor, universal magnetic characteristic

Abstract

When studying transients in pulsed current traction motors, it is important to take into consideration the eddy and hysteresis losses in engine steel. Magnetic losses are a function of the magnetization reversal frequency, which, in turn, is a function of the engine shaft rotation frequency. In other words, magnetic losses are a function of time. Existing calculation procedures do not make it possible to derive the instantaneous values of magnetic losses as they are based on determining average losses over a period.

This paper proposes an improved model of magnetic losses in the steel of a pulsed current traction motor as a function of time, based on the equations of specific losses.

The adequacy criteria of the procedure for determining magnetic losses in electrical steel have been substantiated: the possibility to derive instantaneous values of magnetic losses in the magnetic material as a function of time; the possibility of its application for any magnetic material; and the simplicity of implementation. The procedure for determining magnetic losses in the steel of a pulsed current traction motor has been adapted by taking into consideration the magnetic properties of steel and the geometry of the engine's magnetic circuit. In order to determine the coercive force, the coefficient of accounting for the losses due to eddy currents, as well as the coefficient that considers the losses on hysteresis, the specifications' characteristics of specific losses in steel have been approximated using the pulsed current traction motor as an example. The simulated model of magnetic losses by the pulsed current traction motor has demonstrated the procedure for determining average magnetic losses and time diagrams of magnetic losses.

The proposed model for determining magnetic losses could be used for any magnetic material and any engine geometry under the condition of known material properties and the characteristics of change in the magnetic flux density in geometry

Author Biographies

Sergey Goolak, State University of Infrastructure and Technologies Kyrylivska str., 9, Kyiv, Ukraine, 04071

Senior Lecturer

Department of Traction Rolling Stock of Railways

Svitlana Sapronova, State University of Infrastructure and Technologies Kyrylivska str., 9, Kyiv, Ukraine, 04071

Doctor of Technical Sciences, Professor

Department of Cars and Carriage Facilities

Viktor Tkachenko, State University of Infrastructure and Technologies Kyrylivska str., 9, Kyiv, Ukraine, 04071

Doctor of Technical Sciences, Professor, Head of Department

Department of Traction Rolling Stock of Railways

Ievgen Riabov, National Technical University "Kharkiv Polytechnic Institute" Kyrpychova str., 2, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Electric Transport and Locomotive Engineering

Yevhenii Batrak, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Peremohy ave., 37, Kyiv, Ukraine, 03056

PhD, Senior Lecturer

Department of Technical Cybernetics

References

  1. Mikhailov, E., Sapronova, S., Tkachenko, Semenov, V., Smyrnova, I., Kholostenko, Y. (2019). Improved solution of guiding of railway vehicle in curves. Proceedings of 23rd International Scientific Conference. Transport Means 2019. Palanga, 916–921. Available at: https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-2019-Part-2.pdf
  2. Sapronova, S., Tkachenko, V., Fomin, O., Hatchenko, V., Maliuk, S. (2017). Research on the safety factor against derailment of railway vehicless. Eastern-European Journal of Enterprise Technologies, 6 (7 (90)), 19–25. doi: https://doi.org/10.15587/1729-4061.2017.116194
  3. Goolak, S., Gubarevych, O., Yermolenko, E., Slobodyanyuk, M., Gorobchenko, O. (2020). Mathematical modeling of an induction motor for vehicles. Eastern-European Journal of Enterprise Technologies, 2 (2 (104)), 25–34. doi: https://doi.org/10.15587/1729-4061.2020.199559
  4. Goolak, S., Gerlici, J., Tkachenko, V., Sapronova, S., Lack, T., Kravchenko, K. (2019). Determination of Parameters of Asynchronous Electric Machines with Asymmetrical Windings of Electric Locomotives. Communications - Scientific Letters of the University of Zilina, 21 (2), 24–31. doi: https://doi.org/10.26552/com.c.2019.2.24-31
  5. Belkina, E. N., Zhukov, A. S. (2015). Analiz sposobov approksimatsii krivoy namagnichivaniya elektrotehnicheskoy stali. Innovatsionnaya nauka, 5, 22–27.
  6. Sandomirskii, S. G. (2016). Structural and phase sensitivity of the maximum differential magnetic susceptibility of steel. Russian Metallurgy (Metally), 2016 (7), 619–624. doi: https://doi.org/10.1134/s0036029516070144
  7. Chang, L., Jahns, T. M., Blissenbach, R. (2019). Generalized Dynamic Hysteresis Model for Improved Iron Loss Estimation of Complex Flux Waveforms. IEEE Transactions on Magnetics, 55 (7), 1–13. doi: https://doi.org/10.1109/tmag.2018.2889239
  8. Shi, P., Jin, K., Zhang, P., Xie, S., Chen, Z., Zheng, X. (2018). Quantitative Inversion of Stress and Crack in Ferromagnetic Materials Based on Metal Magnetic Memory Method. IEEE Transactions on Magnetics, 54 (10), 1–11. doi: https://doi.org/10.1109/tmag.2018.2856894
  9. Kachniarz, M., Szewczyk, R. (2017). Study on the Rayleigh Hysteresis Model and its Applicability in Modeling Magnetic Hysteresis Phenomenon in Ferromagnetic Materials. Acta Physica Polonica A, 131 (5), 1244–1250. doi: https://doi.org/10.12693/aphyspola.131.1244
  10. Meeker, D. C., Filatov, A. V., Maslen, E. H. (2004). Effect of Magnetic Hysteresis on Rotational Losses in Heteropolar Magnetic Bearings. IEEE Transactions on Magnetics, 40 (5), 3302–3307. doi: https://doi.org/10.1109/tmag.2004.831664
  11. De la Barriere, O., Ragusa, C., Appino, C., Fiorillo, F. (2019). Loss Prediction in DC-Biased Magnetic Sheets. IEEE Transactions on Magnetics, 55 (10), 1–14. doi: https://doi.org/10.1109/tmag.2019.2921000
  12. Fomin, O., Kulbovsky, I., Sorochinska, E., Sapronova, S., Bambura, O. (2017). Experimental confirmation of the theory of implementation of the coupled design of center girder of the hopper wagons for iron ore pellets. Eastern-European Journal of Enterprise Technologies, 5 (1 (89)), 11–18. doi: https://doi.org/10.15587/1729-4061.2017.109588
  13. Okorokov, A., Fomin, O., Lovska, A., Vernigora, R., Zhuravel, I., Fomin, V. (2018). Research into a possibility to prolong the time of operation of universal open top wagon bodies that have exhausted their standard resource. Eastern-European Journal of Enterprise Technologies, 3 (7 (93)), 20–26. doi: https://doi.org/10.15587/1729-4061.2018.131309
  14. Schauerte, B., Steentjes, S., Thul, A., Hameyer, K. (2019). Iron-loss model for arbitrary magnetization loci in NO electrical steel. International Journal of Applied Electromagnetics and Mechanics, 61, S89–S96. doi: https://doi.org/10.3233/jae-191599
  15. Ragusa, C., Zhao, H., Appino, C., Khan, M., de la Barriere, O., Fiorillo, F. (2016). Loss Decomposition in Non-Oriented Steel Sheets: The Role of the Classical Losses. IEEE Magnetics Letters, 7, 1–5. doi: https://doi.org/10.1109/lmag.2016.2604204
  16. Liu, R., Li, L. (2019). Calculation Method of Magnetic Material Losses Under DC Bias Using Statistical Loss Theory and Energetic Hysteresis Model. IEEE Transactions on Magnetics, 55 (10), 1–4. doi: https://doi.org/10.1109/tmag.2019.2921357
  17. Zhao, H., Ragusa, C., Appino, C., de la Barriere, O., Wang, Y., Fiorillo, F. (2019). Energy Losses in Soft Magnetic Materials Under Symmetric and Asymmetric Induction Waveforms. IEEE Transactions on Power Electronics, 34 (3), 2655–2665. doi: https://doi.org/10.1109/tpel.2018.2837657
  18. Barg, S., Ammous, K., Mejbri, H., Ammous, A. (2017). An Improved Empirical Formulation for Magnetic Core Losses Estimation Under Nonsinusoidal Induction. IEEE Transactions on Power Electronics, 32 (3), 2146–2154. doi: https://doi.org/10.1109/tpel.2016.2555359
  19. Yue, S., Yang, Q., Li, Y., Zhang, C. (2018). Core loss calculation for magnetic materials employed in SMPS under rectangular voltage excitations. AIP Advances, 8 (5), 056121. doi: https://doi.org/10.1063/1.5007201
  20. Gubarevych, O., Goolak, S., Gorobchenko, O., Skliarenko, I. (2020). Refined approach to the losses calculation of pulsating current traction engine. Technical sciences and technologies, 1 (19), 206–227. doi: https://doi.org/10.25140/2411-5363-2020-1(19)-206-227
  21. Raulin, V., Radun, A., Husain, I. (2004). Modeling of Losses in Switched Reluctance Machines. IEEE Transactions on Industry Applications, 40 (6), 1560–1569. doi: https://doi.org/10.1109/tia.2004.836225
  22. Eremin, G. N. (2017). Improved standards regarding electrical steel and precision alloys. Steel in Translation, 47 (2), 144–147. doi: https://doi.org/10.3103/s0967091217020048
  23. Tey, W. Y., Lee, K. M., Asako, Y., Tan, L. K., Arai, N. (2020). Multivariable power least squares method: Complementary tool for Response Surface Methodology. Ain Shams Engineering Journal, 11 (1), 161–169. doi: https://doi.org/10.1016/j.asej.2019.08.002
  24. Nekhaev, V. A., Nikolaev, V. A., Smalev, A. N., Vedruchenko, V. R. (2019). To the estimation of the locomotive power. Journal of Transsib Railway Studies, 3 (39), 14–31.
  25. Gorobchenko, O., Fomin, O., Fomin, V., Kovalenko, V. (2018). Study of the influence of electric transmission parameters on the efficiency of freight rolling stock of direct current. Eastern-European Journal of Enterprise Technologies, 1 (3 (91)), 60–67. doi: https://doi.org/10.15587/1729-4061.2018.121713
  26. Matyuk, V. F., Osipov, A. A. (2011). The mathematical models of the magnetization curve and the magnetic hysteresis loops. Part 1. Analysis of models. Nerazrushayushchiy kontrol' i diagnostika, 2, 3–35.
  27. Kulinich, Y. M., Shukharev, S. A., Drogolov, D. Y. (2019). Simulation of the pulsating current traction motor. Vestnik of the Railway Research Institute, 78 (5), 313–319. doi: https://doi.org/10.21780/2223-9731-2019-78-5-319
  28. Afanasov, A. M. (2014). Rational modes determination of traction motors loading-back for electric rolling stock in mainline and industrial transport. Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 4 (52), 67–74. doi: https://doi.org/10.15802/stp2014/27322
  29. Harlamov, V. V. (2002). Metody i sredstva diagnostirovaniya tehnicheskogo sostoyaniya kollektorno-shchetochnogo uzla tyagovyh elektrodvigateley i drugih kollektornyh mashin postoyannogo toka. Omsk, 233.
  30. Zavalishin, N. N., Nikolaev, E. V. (2017). Resistance test modes of traction motors of rolling stock in different types of excitation. Fundamental'nye i prikladnye problemy tehniki i tehnologii, 1 (321), 139–145.
  31. Kopylov, I. P. (2018). Proektirovanie elektricheskih mashin. Ch. 2. Moscow: Yurayt, 276.
  32. Kim, K. K., Ivanov, S. N. (2016). The influence of limiting factors on electric machines electromagnetic power. Scholarly Notes of Komsomolsk-Na-Amure State Technical University, 1 (2 (26)), 4–8. doi: https://doi.org/10.17084/2016.ii-1(26).1

Downloads

Published

2020-12-31

How to Cite

Goolak, S., Sapronova, S., Tkachenko, V., Riabov, I., & Batrak, Y. (2020). Improvement of the model of power losses in the pulsed current traction motor in an electric locomotive. Eastern-European Journal of Enterprise Technologies, 6(5 (108), 38–46. https://doi.org/10.15587/1729-4061.2020.218542

Issue

Vol. 6 No. 5 (108) (2020): Applied physics

Section

Applied physics

License

Copyright (c) 2020 Sergey Goolak, Svitlana Sapronova, Viktor Tkachenko, Ievgen Riabov, Yevhenii Batrak

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.