Skip to main content

Advertisement

SpringerLink
Log in

Hard point parameter optimization of a wheel-hubdriven electric vehicle suspension based on a three-step screening method

  • Technical Paper
  • Published:
International Journal on Interactive Design and Manufacturing (IJIDeM) Aims and scope Submit manuscript

Abstract

In order to solve the adverse effect on wheel-hubdriven electric vehicle ride comfort caused by the introduction of hub motor, a three-step screening method is proposed to match and optimize the hard point parameters of vehicle suspension. First, a multibody dynamic model of the prototype vehicle suspension was established based on a multibody dynamic method, and the analytical formulas of the electromagnetic force of the motor were given. Based on the specific conditions of the vehicle and the motor, a dynamics analysis of the suspension was carried out to investigate the effect of the fluctuation of the electromagnetic force of the hub motor on the wheel alignment parameters. Second, the calculation model of the suspension dynamics response was established according to the experiment designed by the Latin hypercube sampling method, and a sensitivity analysis of the suspension hard point coordinate was carried out to obtain the sensitive hard point parameters. Finally, the linear weighted synthetic optimization model of the front wheel alignment parameters of the wheel-hubdriven electric vehicle was elaborated using a multi-objective optimization method, and the multi-objective function was converted into a single objective evaluation function to carry out better suspension hard point parameter optimization. The results show that by optimizing the suspension hard point parameter, the wheel alignment parameters can be controlled within a reasonable range. This optimization ensures that the variation rate of the front wheel alignment parameters of the wheel-hubdriven electric vehicle meets the vehicle design requirements, thus eliminating the adverse impact on vehicle ride comfort caused by the introduction of the hub motor. This paper also illustrates that the three-step screening method is an efficient method of parameter matching, which can satisfactorily solve the problem of engineering applications. The three-step screening method can teach assistant engineer how to use this method to conveniently carry out the design of vehicle suspension, simplify the cumbersome design process, save time, and improve work efficiency and design quality.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Ghazali, M.J., Nuawi, M.Z., Mansor, N.: Low cost wear monitoring of bearing shell in connecting rod via i-kaz method. Adv. Mater. Res. 76–78, 702–707 (2009)

    Article  Google Scholar 

  2. Sun, Y., Li, M., Liao, C.: Analysis of wheel hub motor drive application in electric vehicles. MATEC Web Conf. 100, 1–6 (2017)

    Google Scholar 

  3. Chen, Y., Wang, J.: Design and evaluation on electric differentials for overactuated electric ground vehicles with four independent in-wheel motors. IEEE Trans. Veh. Technol. 61(4), 1534–1542 (2012)

    Article  Google Scholar 

  4. Zhai, L., Sun, T., Wang, J.: Electronic stability control based on motor driving and braking torque distribution for a four in-wheel motor drive electric vehicle. IEEE Trans. Veh. Technol. 65, 4726–4739 (2016)

    Article  Google Scholar 

  5. Chen, B.-C., Kuo, C.-C.: Electronic stability control for electric vehicle with four in-wheel motors. Int. J. Automot. Technol. 15, 573–580 (2014)

    Article  Google Scholar 

  6. Athari, A., Fallah, S., Li, B., et al.: Optimal torque control for an electric-drive vehicle with in-wheel motors: implementation and experiments. SAE Int. J. Commer. Veh. 6, 82–92 (2013)

    Article  Google Scholar 

  7. Alipour, H., Sharifian, M.B.B., Sabahi, M.: A modified integral sliding mode control to lateral stabilisation of 4-wheel independent drive electric vehicles. Veh. Syst. Dyn. 52, 1584–1606 (2014)

    Article  Google Scholar 

  8. Tan, D., Wang, H., Wang, Q.: Study on the rollover characteristic of in-wheel-motor-driven electric vehicles considering road and electromagnetic excitation. Shock Vib. 2016, 1–13 (2016)

    Google Scholar 

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

    Article  Google Scholar 

  10. Liu, M., Zhang, C., Wang, Z.: Study on influence of non-sprung weight on vehicle riding comfort. J. Beijing Inst. Technol. (English Edition) 12(v23), 177–181 (2014)

    Google Scholar 

  11. Jin, L.-Q., Song, C.-X., Wang, Q.-N.: Evaluation of influence of motorized wheels on contact force and comfort for electric vehicle. J. Comput. 6(3), 497–505 (2011)

    Article  Google Scholar 

  12. Jin, L., Yu, Y., Fu, Y.: Study on the ride comfort of vehicles driven by in-wheel motors. Adv. Mech. Eng. 8, 1–9 (2016)

    Google Scholar 

  13. Zhong, Y., Li, Y., Yang, C., et al.: Vertical vibration of in-wheel motor electric vehicles based on active suspension control. Zhendong yu Chongji/J. Vib. Shock 36(11), 242–247 (2017)

    Google Scholar 

  14. Shao, X., Naghdy, F., Du, H.: Reliable fuzzy H∞ control for active suspension of in-wheel motor driven electric vehicles with dynamic damping. Mech. Syst. Sig. Process 87, 365–383 (2017)

    Article  Google Scholar 

  15. Katsuyama, E., Omae, A.: Improvement of ride comfort by unsprung negative skyhook damper control using in-wheel motors. SAE Int. J. Alt. Power 5, 214–221 (2016)

    Article  Google Scholar 

  16. Jin, L.Q., Liu, Y., Li, J.H.: LQG control strategy for enhancing ride and safety performance of electric vehicle driven by in-wheel motors. Open Mech. Eng. J. 9, 293–301 (2015)

    Article  Google Scholar 

  17. Madhavan, R., Fernandes, B.G.: Performance improvement in the axial flux-segmented rotor-switched reluctance motor. IEEE Trans. Energy Convers. 29, 641–651 (2014)

    Article  Google Scholar 

  18. Sakthivel, P., Chandrasekar, V., Arumugam, R.: Design of a 250w, low speed switched reluctance hub motor for two wheelers. In: ICEES2011, 2011 1st International Conference on Electrical Energy Systems, 3–5 January 2011, Newport Beach, CA, USA, pp. 176–181

  19. Abderazek, H., Yildiz, A.R., Sait, S.M.: Mechanical engineering design optimisation using novel adaptive differential evolution algorithm. Int. J. Veh. Design 80(2/3/4), 285–329 (2019)

    Article  Google Scholar 

  20. Bagheri, M.R., Mosayebi, M., Mahdian, A., Keshavarzi, A.: Multi-objective optimiza-tion of double wishbone suspension of a kinestatic vehicle model for handling and stability improvement. Struct. Eng. Mech. 68(5), 633–638 (2018)

    Google Scholar 

  21. Karaduman, A., Yıldız, B.S., Yıldız, A.R.: Experimental and numerical fatigue-based design optimisation of clutch diaphragm spring in the automotive industry. Int. J. Veh. Design 80(2/3/4), 330–345 (2019)

    Article  Google Scholar 

Download references

Funding

The authors are grateful for the financial support of the National Natural Science Foundation of China (Grant Nos. 51575001, 51605003), Anhui University scientific research platform innovation team building projects (2016–2018), and Anhui Province projects of supporting R&D and innovation ([2020] 479).

Author information

Authors and Affiliations

  1. Anhui Engineering Technology Research Center of Automotive New Technique, Anhui Polytechnic University, Wuhu, 241000, China

    Shi Peicheng, Xu Zengwei, Zhang Rongyun & Xiao Ping

  2. Chery Automobile Co., Ltd, Wuhu, 241009, China

    Wang Kefei

Authors
  1. Shi Peicheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xu Zengwei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wang Kefei
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhang Rongyun
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiao Ping
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shi Peicheng.

Ethics declarations

Conflict of interest

The authors declare that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peicheng, S., Zengwei, X., Kefei, W. et al. Hard point parameter optimization of a wheel-hubdriven electric vehicle suspension based on a three-step screening method. Int J Interact Des Manuf 15, 681–694 (2021). https://doi.org/10.1007/s12008-021-00787-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12008-021-00787-9

Keywords

Search

Navigation