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Mechanism analysis and optimum control of negative airgap eccentricity effect for in-wheel switched reluctance motor driving system

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Abstract

In this paper, the generation mechanism of the negative airgap eccentricity effect for the in-wheel switched reluctance motor (SRM) driving system is analyzed. An independent current chopping control strategy is proposed to achieve optimum control between the response characteristic of the in-wheel motor driving system and the dynamic performance of electric vehicle (EV). Firstly, the electromagnetic characteristic of the studied SRM under airgap eccentricity is studied based on electromagnetic coupling model and circuit driving equation, and the radial electromagnetic force under different airgap eccentricity is verified by adopting the built experiment device. Then, combined with the excitation characteristics of the radial electromagnetic force, the negative dynamic effect of the in-wheel motor driving system is analyzed in the time–frequency domain. Finally, an independent current chopping control strategy for the in-wheel SRM driving system based on vehicle vibration feedback is proposed. The controller parameters including the turn-off angle and chopping current threshold are optimized by data interpolation. Results show that the proposed control strategy can achieve the optimum control between the response characteristics of the in-wheel motor driving system and the vehicle dynamic performance, especially to suppress the vehicle sprung mass acceleration and tire bounce while starting EV.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Fernandes, J.C.M., Gonçalves, P.J.P., Silveira, M.: Interaction between asymmetrical damping and geometrical nonlinearity in vehicle suspension systems improves comfort. Nonlinear Dyn. 99(2), 1561–1576 (2020)

    Article  Google Scholar 

  2. Rezig, A., Boudendouna, W., Djerdir, A., Diaye, N.: Investigation of optimal control for vibration and noise reduction in-wheel switched reluctance motor used in electric vehicle. Math. Comput. Simul. 167, 267–280 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  3. Li, Y., Sun, W., Huang, J., Zheng, L., Wang, Y.: Effect of vertical and lateral coupling between tyre and road on vehicle rollover. Veh. Syst. Dyn. 51(8), 1216–1241 (2013)

    Article  Google Scholar 

  4. Jamil, M.U., Kongprawechnon, W., Chayopitak, N.: Active fault diagnosis of a switched reluctance motor using sliding mode observer and average torque estimator for light electric vehicle applications. Int. Trans. Electr. Energy 30(11), e12602 (2020)

    Google Scholar 

  5. Pomponi, C., Scalzi, S., Pasquale, L., Verrelli, C.M., Marino, R.: Automatic motor speed reference generators for cruise and lateral control of electric vehicles with in-wheel motors. Control Eng. Pract. 79, 126–143 (2018)

    Article  Google Scholar 

  6. Zhang, D., Qi, T., Wang, S., Ling, Z.: Effect of series/parallel circuits of eccentric switched reluctance motor on vehicle ride comfort. J. Braz. Soc. Mech. Sci. 43(4), 1–12 (2021)

    Google Scholar 

  7. Sun, X., Wan, B., Lei, G., Tian, X., Guo, Y., Zhu, J.: Multiobjective and multiphysics design optimization of a switched reluctance motor for electric vehicle applications. IEEE Trans. Energy Conver. 36, 3294–3304 (2021)

    Article  Google Scholar 

  8. Chen, X., Chen, R., Deng, T.: An investigation on lateral and torsional coupled vibrations of high power density PMSM rotor caused by electromagnetic excitation. Nonlinear Dyn. 99(3), 1975–1988 (2020)

    Article  Google Scholar 

  9. Chen, X., Deng, Z., Hu, J., Deng, T.: An analytical model of unbalanced magnetic pull for PMSM used in electric vehicle: numerical and experimental validation. Int. J. Appl. Electrom. 54(4), 583–596 (2017)

    Google Scholar 

  10. Zhu, Y., Wu, H., Zhen, C.: Regenerative braking control under sliding braking condition of electric vehicles with switched reluctance motor drive system. Energy 230, 120901 (2021)

    Article  Google Scholar 

  11. Wang, Y., Li, Y., Sun, W., Zheng, L.: Effect of the unbalanced vertical force of a switched reluctance motor on the stability and the comfort of an in-wheel motor electric vehicle. Proc. Inst. Mech. Eng. Part D J. Autom. Eng. 229(12), 1569–1584 (2015)

    Article  Google Scholar 

  12. Liu, F., Xiang, C., Liu, H., Han, L., Wu, Y., Wang, X.: Nonlinear vibration of permanent magnet synchronous motors in electric vehicles influenced by static angle eccentricity. Nonlinear Dyn. 90(3), 1851–1872 (2017)

    Article  Google Scholar 

  13. Zuo, S., Liu, Z., Hu, S.: Influence of rotor eccentricity on radial electromagnetic force characteristics in switched reluctance motors and compensation. Electr. Power Compos. Syst. 48(4–5), 388–398 (2020)

    Article  Google Scholar 

  14. Hu, S., Zuo, S., Liu, M., Wu, H., Liu, Z.: Modeling and analysis of radial electromagnetic force and vibroacoustic behaviour in switched reluctance motors. Mech. Syst. Signal PR 142, 106778 (2020)

    Article  Google Scholar 

  15. Wang, Y., Li, P., Ren, G.: Electric vehicles with in-wheel switched reluctance motors: coupling effects between road excitation and the unbalanced radial force. J. Sound Vib. 372, 69–81 (2016)

    Article  Google Scholar 

  16. Torkaman, H., Afjei, E., Yadegari, P.: Static, Dynamic, and mixed eccentricity faults diagnosis in switched reluctance motors using transient finite element method and experiments. IEEE Trans. Magn. 48(8), 2254–2264 (2012)

    Article  Google Scholar 

  17. Li, Z., Zheng, L., Ren, Y., Li, Y., Xiong, Z.: Multi-objective optimization of active suspension system in electric vehicle with in-wheel-motor against the negative electromechanical coupling effects. Mech. Syst. Signal PR 116, 545–565 (2019)

    Article  Google Scholar 

  18. Ahmed, F., Kalita, K., Nemade, H.B.: Torque and controllable radial force production in a single winding bearingless switched reluctance motor with a speed controlled drive operation. Int. Trans. Electr. Energy 30(5), 12312 (2020)

    Google Scholar 

  19. Chen, X., Yuan, S., Peng, Z.: Nonlinear vibration for PMSM used in HEV considering mechanical and magnetic coupling effects. Nonlinear Dyn. 80(1–2), 541–552 (2015)

    Article  Google Scholar 

  20. Tan, D., Lu, C.: The Influence of the magnetic force generated by the in-wheel motor on the vertical and lateral coupling dynamic of electric vehicles. IEEE Trans. Veh. Technol. 65(6), 4655–4668 (2016)

    Article  Google Scholar 

  21. Sun, W., Li, Y., Huang, J., Zhang, N.: Vibration effect and control of in-wheel switched reluctance motor for electric vehicle. J. Sound Vib. 338, 105–120 (2015)

    Article  Google Scholar 

  22. Shao, X., Naghdy, F., Du, H., Qin, Y.: Coupling effect between road excitation and an in-wheel switched reluctance motor on vehicle ride comfort and active suspension control. J. Sound Vib. 443, 683–702 (2019)

    Article  Google Scholar 

  23. Li, Z., Zheng, L., Gao, W., Zhan, Z.: Electromechanical coupling mechanism and control strategy for in-wheel-motor-driven electric vehicles. IEEE Trans. Ind. Electron. 66(6), 4524–4533 (2019)

    Article  Google Scholar 

  24. Deng, Z., Li, X., Liu, T., Zhao, S.: Modeling and suppression of unbalanced radial force for in-wheel motor driving system. J. Vib. Control 28, 3108–3119 (2021)

    Article  Google Scholar 

  25. Qin, Y., He, C., Shao, X., Du, H., Xiang, C., Dong, M.: Vibration mitigation for in-wheel switched reluctance motor driven electric vehicle with dynamic vibration absorbing structures. J. Sound Vib. 419, 249–267 (2018)

    Article  Google Scholar 

  26. Xiong, S.: Study on optimization technology of instantaneous torque control strategy for switched reluctance motor. Chem. Eng. Trans. 66, 1267–1272 (2018)

    Google Scholar 

  27. Xue, X.D., Cheng, K.W.E., Ng, T.W., Cheung, N.C.: Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles. IEEE Trans. Ind. Electron. 57(9), 2980–2987 (2010)

    Article  Google Scholar 

  28. Khalil, A., Husain, I.: A Fourier series generalized geometry-based analytical model of switched reluctance machines. IEEE Trans. Ind. Appl. 43(3), 673–684 (2007)

    Article  Google Scholar 

  29. Fahimi, B., Suresh, G., Mahdavi, J., Ehsami, M.: A new approach to model switched reluctance motor drive application to dynamic performance prediction, control and design, 1998. IEEE, pp. 2097–2102. (1998)

  30. Ma, C., Qu, L.: Multiobjective optimization of switched reluctance motors based on design of experiments and particle swarm optimization. IEEE Trans. Energy Conver. 30(3), 1144–1153 (2015)

    Article  Google Scholar 

Download references

Acknowledgements

This research is supported by the National Natural Science Foundation of China (Grant No. 52072054), the Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202100728), the Technology Innovation and Application Development of Chongqing Municipality (cstc2019jscx-zdztzxX0047).

Funding

This work was supported by National Natural Science Foundation of China (52072054).

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Correspondence to Xu Li.

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Appendices

Appendix A: Structure parameters about the studied SRM and EV

The SRM

Parameter

Value

Unit

Meaning

D r

382

mm

Outer diameter of rotor

D s

266

mm

Outer diameter of stator

β r

23

deg

Rotor pole arc angle

β s

22

deg

Stator pole arc angle

L g

0.5

mm

Airgap length

L s

46

mm

Thickness of stator back iron

L r

32

mm

Thickness of rotor back iron

H

74

mm

Motor axial length

N

136

/

Number of turns per phase

The EV

Parameter

Value

Unit

Meaning

m b

337.5

kg

Sprung mass of vehicle

m s

37.5

kg

Total mass of stator and shell

m r

65

kg

Total mass of rotor and tire

c s

1450

Ns/m

Suspension damping

k s

23500

N/m

Suspension stiffness

k t

250000

N/m

Tire stiffness

k r

3850000

N/m

Total motor and hub bearing stiffness

Appendix B: State-space equation system matrices

$$ \begin{aligned} A & = \left[ {\begin{array}{*{20}c} 0 & 1 & 0 & 0 & 0 & 0 \\ { - k_{s} m_{{_{b} }}^{ - 1} } & { - c_{s} m_{{_{b} }}^{ - 1} } & {k_{s} m_{{_{b} }}^{ - 1} } & {c_{s} m_{{_{b} }}^{ - 1} } & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 & 0 \\ {k_{s} m_{{_{s} }}^{ - 1} } & {c_{s} m_{{_{s} }}^{ - 1} } & { - (k_{r} + k_{s} )m_{{_{s} }}^{ - 1} } & { - c_{s} m_{{_{s} }}^{ - 1} } & {k_{r} m_{{_{s} }}^{ - 1} } & 0 \\ 0 & 0 & 0 & 0 & 0 & 1 \\ 0 & 0 & {k_{r} m_{{_{r} }}^{ - 1} } & 0 & { - (k_{t} + k_{r} )m_{{_{r} }}^{ - 1} } & { - c_{t} m_{{_{r} }}^{ - 1} } \\ \end{array} } \right]; \\ B & = \left[ {\begin{array}{*{20}c} {0_{3*3} } & {0_{3*3} } \\ {0_{3*3} } & {\begin{array}{*{20}c} { - m_{{_{s} }}^{ - 1} } & 0 & 0 \\ 0 & 0 & 0 \\ {m_{{_{r} }}^{ - 1} } & {k_{t} m_{{_{r} }}^{ - 1} } & {c_{t} m_{{_{r} }}^{ - 1} } \\ \end{array} } \\ \end{array} } \right]; \\ C & = \left[ {\begin{array}{*{20}c} {\begin{array}{*{20}c} { - k_{s} m_{b}^{ - 1} } & { - c_{s} m_{b}^{ - 1} } & {k_{s} m_{b}^{ - 1} } & {c_{s} m_{b}^{ - 1} } & 0 & 0 \\ 1 & 0 & { - 1} & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 1 & 0 \\ \end{array} } \\ {0_{2*6} } \\ \end{array} } \right]; \\ D & = \left[ {\begin{array}{*{20}c} {0_{3*6} } \\ {\begin{array}{*{20}c} 0 & 0 & 0 & 0 & { - 1} & 0 \\ \end{array} } \\ {0_{2*6} } \\ \end{array} } \right]. \\ \end{aligned} $$

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Deng, Z., Li, X., Li, X. et al. Mechanism analysis and optimum control of negative airgap eccentricity effect for in-wheel switched reluctance motor driving system. Nonlinear Dyn 111, 9075–9093 (2023). https://doi.org/10.1007/s11071-023-08337-6

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