Skip to main content
SpringerLink
Log in

Effect of the drive system on locomotive dynamic characteristics using different dynamics models

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

Based on the theory of vehicle-track coupled dynamics and gear system dynamics, a locomotive-track coupled spatial dynamics model is established by considering the dynamic effects of the gear transmission system. The vibration responses of a locomotive’s major components are then simulated using three locomotive-track models, namely the proposed dynamics model with the gear transmissions, a locomotive-track coupled dynamics model that considers the traction motor, and the classical Zhai’s model. The locomotive dynamic responses of the three models are extracted and compared to reveal discrepancies between them so as to explore the dynamic effects of the power transmission system and clarify potential applications of these models. The results indicate that the dynamic effects of the gear transmissions have a negligible influence on the lateral vibrations of the locomotive components. However, they have obvious effects on the vertical and longitudinal vibrations of the wheelset and the traction motor. Another advantage of the locomotive dynamics model that considers the dynamic effects of the gear transmissions is that the dynamic performance of the drive system can be assessed in the vehicle vibration environment. This study provides theoretical references that can assist researchers in choosing the most appropriate locomotive dynamics model according to their specific research purpose.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Hirotsu T, Kasai S, Takai H. Self-excited vibration during slippage of parallel Cardan drives for electric railcars. JSME Int J, 1987, 30: 1304–1310

    Article  Google Scholar 

  2. Yao Y, Zhang H J, Li Y M, et al. The dynamic study of locomotives under saturated adhesion. Vehicle Syst Dyn, 2011, 49: 1321–1338

    Article  Google Scholar 

  3. Kim W, Kim Y, Kang J, et al. Electro-mechanical readhesion control simulator for inverter-driven railway electric vehicle. In: Proceedings of the Thirty-Fourth IAS Annual Meeting IEEE Industry Applications Conference. Phoenix, 1999

    Google Scholar 

  4. Zobory I. Dynamic processes in the drive systems of railway traction vehicles in the presence of excitation caused by unevennesses in the track. Vehicle Syst Dyn, 1985, 14: 33–39

    Article  Google Scholar 

  5. Winterling M, Tuinman E, Deleroi W. Attenuation of ripple torques in inverter supplied traction drives. In: Proceedings of the 17th International Conference on Power Electronics and Variable Speed Drives. London, 1998

    Google Scholar 

  6. Zhai W, Wang K, Cai C. Fundamentals of vehicle-track coupled dynamics. Vehicle Syst Dyn, 2009, 47: 1349–1376

    Article  Google Scholar 

  7. Liu P, Zhai W, Wang K. Establishment and verification of threedimensional dynamic model for heavy-haul train-track coupled system. Vehicle Syst Dyn, 2016, 54: 1511–1537

    Article  Google Scholar 

  8. Simson S A, Cole C. Simulation of curving at low speed under high traction for passive steering hauling locomotives. NVSD, 2008, 46: 1107–1121

    Article  Google Scholar 

  9. Zhai W M, Wang K Y. Lateral interactions of trains and tracks on small-radius curves: Simulation and experiment. Vehicle Syst Dyn, 2006, 44: 520–530

    Article  Google Scholar 

  10. Spiryagin M, Cole C, Sun Y Q. Adhesion estimation and its implementation for traction control of locomotives. Int J Rail Transpation, 2014, 2: 187–204

    Article  Google Scholar 

  11. Tian Y, Daniel W J T B, Liu S, et al. Comparison of PI and fuzzy logic based sliding mode locomotive creep controls with change of railwheel contact conditions. Int J Rail Transpation, 2015, 3: 40–59

    Article  Google Scholar 

  12. Chou M, Xia X, Kayser C. Modelling and model validation of heavyhaul trains equipped with electronically controlled pneumatic brake systems. Control Eng Practice, 2007, 15: 501–509

    Article  Google Scholar 

  13. Afshari A, Specchia S, Shabana A A, et al. A train air brake force model: Car control unit and numerical results. Proc Institution Mech Engineers Part F-J Rail Rapid Transit, 2012, 227: 38–55

    Article  Google Scholar 

  14. Nasr A, Mohammadi S. The effects of train brake delay time on intrain forces. Proc Instit Mech Engineers Part F-J Rail Rapid Transit, 2010, 224: 523–534

    Article  Google Scholar 

  15. Specchia S, Afshari A, Shabana A A, et al. A train air brake force model: Locomotive automatic brake valve and brake pipe flow formulations. Proc Instit Mech Engineers Part F-J Rail Rapid Transit, 2012, 227: 19–37

    Article  Google Scholar 

  16. Leva S, Morando A P, Colombaioni P. Dynamic analysis of a highspeed train. IEEE Trans Veh Technol, 2008, 57: 107–119

    Article  Google Scholar 

  17. Chen Z, Zhai W, Wang K. A locomotive-track coupled vertical dynamics model with gear transmissions. Vehicle Syst Dyn, 2017, 55: 244–267

    Article  Google Scholar 

  18. Chen Z, Zhai W, Wang K. Dynamic investigation of a locomotive with effect of gear transmissions under tractive conditions. J Sound Vib, 2017, 408: 220–233

    Article  Google Scholar 

  19. Chen Z, Zhai W, Wang K. Locomotive dynamic performance under traction/braking conditions considering effect of gear transmissions. Vehicle Syst Dyn, 2018, 56: 1097–1117

    Article  Google Scholar 

  20. Chen Z, Zhai W, Wang K. Vibration feature evolution of Locomotive with tooth root crack propagation of gear transmission system. Mech Syst Signal Processing, 2019, 115: 29–44

    Article  Google Scholar 

  21. Zhai W, Liu P, Lin J, et al. Experimental investigation on vibration behaviour of a CRH train at speed of 350 km/h. Int J Rail Transpation, 2015, 3: 1–16

    Article  Google Scholar 

  22. Liu X, Zhai W. Analysis of vertical dynamic wheel/rail interaction caused by polygonal wheels on high-speed trains. Wear, 2014, 314: 282–290

    Article  Google Scholar 

  23. Zhai W, Xia H, Cai C, et al. High-speed train-track-bridge dynamic interactions—Part I: Theoretical model and numerical simulation. Int J Rail Transpation, 2013, 1: 3–24

    Article  Google Scholar 

  24. Wu Q, Spiryagin M, Cole C. Longitudinal train dynamics: An overview. Vehicle Syst Dyn, 2016, 54: 1688–1714

    Article  Google Scholar 

  25. Zhai W. Vehicle-Track Coupled Dynamics. 4th ed. Beijing: Science Press, 2015

    Google Scholar 

  26. Shen Z, Hedrick J, Elkins J. A comparison of alternative creep force models for rail vehicle dynamic analysis. In: Proceedings of the International Association for Vehicle System Dynamics Symposium. Cambridge, 1983. 591–605

    Google Scholar 

  27. Ma H, Pang X, Feng R, et al. Fault features analysis of cracked gear considering the effects of the extended tooth contact. Eng Failure Anal, 2015, 48: 105–120

    Article  Google Scholar 

  28. Ma H, Zeng J, Feng R, et al. Review on dynamics of cracked gear systems. Eng Failure Anal, 2015, 55: 224–245

    Article  Google Scholar 

  29. Ma H, Zeng J, Feng R, et al. An improved analytical method for mesh stiffness calculation of spur gears with tip relief. Mechanism Machine Theor, 2016, 98: 64–80

    Article  Google Scholar 

  30. Lei Y, Liu Z, Wang D, et al. A probability distribution model of tooth pits for evaluating time-varying mesh stiffness of pitting gears. Mech Syst Signal Processing, 2018, 106: 355–366

    Article  Google Scholar 

  31. Liang X, Zuo M J, Feng Z. Dynamic modeling of gearbox faults: A review. Mech Syst Signal Processing, 2018, 98: 852–876

    Article  Google Scholar 

  32. Chen Z, Shao Y. Mesh stiffness calculation of a spur gear pair with tooth profile modification and tooth root crack. Mechanism Machine Theor, 2013, 62: 63–74

    Article  Google Scholar 

  33. Chen Z, Shao Y. Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth. Eng Failure Anal, 2011, 18: 2149–2164

    Article  Google Scholar 

  34. Chen Z, Zhang J, Zhai W, et al. Improved analytical methods for calculation of gear tooth fillet-foundation stiffness with tooth root crack. Eng Failure Anal, 2017, 82: 72–81

    Article  Google Scholar 

  35. Liu J, Shao Y. Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges. J Sound Vib, 2017, 398: 84–102

    Article  Google Scholar 

  36. Bochet B. Nouvelles recherché experimentales sur le Frottement De Glissement. Annales des Mines, 1981, 38: 27–120

    Google Scholar 

  37. Zhai W. Two simple fast integration methods for large-scale dynamic problems in engineering. Int J Numer Meth Eng, 1996, 39: 4199–4214

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Train and Track Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, 610031, China

    Tao Zhang, ZaiGang Chen, WanMing Zhai & KaiYun Wang

  2. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China

    Tao Zhang & Hong Wang

  3. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China

    ZaiGang Chen

Authors
  1. Tao Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. ZaiGang Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. WanMing Zhai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. KaiYun Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to ZaiGang Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, T., Chen, Z., Zhai, W. et al. Effect of the drive system on locomotive dynamic characteristics using different dynamics models. Sci. China Technol. Sci. 62, 308–320 (2019). https://doi.org/10.1007/s11431-018-9363-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-018-9363-5

Keywords

Search

Navigation