Skip to main content

Advertisement

Log in

Distribution Algorithm for Torque Control of New Energy Four-Wheel Hub Motor

  • Published:
Russian Physics Journal Aims and scope

Due to the nonlinear, strong coupling and uncertain parameters of the new energy four-wheel hub motor, it is more difficult to control the torque of the motor. In order to solve this problem, a torque control method based on the distribution algorithm is proposed for the new energy four-wheel hub motor. The dynamic model of the new energy four-wheel hub motor is suggested, and the unmeasurable flux, electric power and other state variables in the motor model are derived according to the degree of freedom of the body. The paper studies the whole four-wheel hub motor with the purpose to improve the efficiency of the drive system and proposes the distribution algorithm to control the electromagnetic torque of the motor. According to the simulation results, the torque control for the new energy four-wheel hub motor leads to a longer driving range of the vehicle, small change in the amplitude of stator flux and the stator current, better stability of the motor speed, and better torque control effect.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. R. Pitakaso, K. Sethanan, and N. Srijaroon, Eng. Optimiz., 52, No. 7, 1225–1243 (2020).

    Article  Google Scholar 

  2. Z. F. Kuang, G. Q. Li, L. B. Zhang, et al., Peer–to–Peer Netw. Appl., 12, No. 6, 1–16 (2020).

    Google Scholar 

  3. L. J. Liu, Y. Zhang, C. Da, et al., Int. Trans. Elec. Energ. Syst., 30, No. 6, 35–46 (2020).

    Google Scholar 

  4. R. Usharani, and M. Sivkumar, Appl. Soft Comput. J., 92, No. 5, 106–113 (2020).

    Google Scholar 

  5. L. Xie, S. B. Liu, W. X. Yao, et al., Mech. Elec. Eng. Mag., 34, No. 10, 1156–1161 (2017).

    Google Scholar 

  6. C. Gao, Y. B. Feng, and K. H. Chen, Ship Sci. Technol., 39, No. 10, 88–91 (2017).

    Google Scholar 

  7. M. N. Narges, A. A. Mostafa, and M. Mohammad, Commun. Statist–Theor. Method., 49, No. 11, 2728–2748 (2020).

    Article  Google Scholar 

  8. G. Alejandra de la, and A. I. Luis, Elec. Power Compon. Syst., 48, No. 1, 485–496 (2020).

    Google Scholar 

  9. G. D. Tang, W. B. Kong, and T. Zhang, J. Electr, Eng. Tech., 15, No. 10, 163–177 (2020).

    Article  Google Scholar 

  10. A. Mohamad, M. Jafar, A. K. Davood, et al., Elec. Eng., 19, No. 6, 1–13 (2020).

    Google Scholar 

  11. J. J. Zhu, Z. P. Wang, L. Zhang, et al., Mech Mach Theor., 142, No. 5, 356–363 (2019).

    Google Scholar 

  12. H. Hichem, R. Lazhar, and B. Nouri, Int. Trans. Elect. Energ. Syst., 29, No. 4, 88–96 (2019).

    Google Scholar 

  13. X. L. Yang, G. R. Liu, D. L. Van, et al., IEEJ Trans. Elect. Elect. Eng., 14, No. 11, 1691–1702 (2019).

    Article  Google Scholar 

  14. P. C. Shi, P. L. Shi, C. S. Yan, et al., J. Mech. Eng. Sci., 233, No. 3, 848–856 (2019).

    Article  MathSciNet  Google Scholar 

  15. Y. Hu, S. J. Dong, W. W. Cai, et al., Modular Mach. Tool Autom. Manuf. Tech., 15, No. 6, 86–89 (2019).

    Google Scholar 

  16. Y. J. Ji, L. H. Ren, and J. S. Zhou, Veh. Syst. Dyn., 56, No. 12, 1883–1898 (2018).

    Article  ADS  Google Scholar 

  17. Q. D. Tang, X. L. Ge, Y. C. Liu, et al., Trans China Electr. Soc., 33, No. 12, 1293–1301 (2018).

    Google Scholar 

  18. Q. H. Liu, W. Mao, and Y. Gao, Elec. Pow. Automat. Equip., 38, No. 9, 85–92 (2018).

    Google Scholar 

  19. J. S. Kang, and S. Wang, Trans. China Electr. Soc., 34, No. 8, 1616–1625 (2019).

    Google Scholar 

  20. D. Q. Bi, R. G. Guo, and H. T. Chen, Exp. Techn. Manag., 35, No. 12, 92–96 (2018).

    Google Scholar 

  21. Y. Cao, Q. Wang, W. Cheng, S. Nojavan, and K. Jermsittiparsert, Int. J. Hydrogen. Energ., 45, 14108–14118 (2020).

    Article  Google Scholar 

  22. H. G. Citil, Appl. Math. Nonlinear. Sci., 4, 305–314 (2019).

    Article  MathSciNet  Google Scholar 

  23. A. Parra, A. Zubizarreta, J. Perez, and M. Dendaluce, Complex., 2018, 1–14 (2018).

    Article  Google Scholar 

  24. O. Akganduller, S. P. Atmaca, and O. Akgüller, Appl. Math. Nonlinear Sci., 5, No. 1, 349–360 (2020).

    Article  MathSciNet  Google Scholar 

  25. T. A. Sulaiman, H. Bulut, and S. S. Atas, Appl. Math. Nonlinear Sci., 4, No. 2, 535–542 (2019).

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuai Leng.

Additional information

Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 9, pp. 29–41, September, 2021.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leng, S., Jin, L. Distribution Algorithm for Torque Control of New Energy Four-Wheel Hub Motor. Russ Phys J 64, 1613–1628 (2022). https://doi.org/10.1007/s11182-022-02498-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11182-022-02498-4

Keywords

Navigation