Skip to main content

Advertisement

Log in

Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

A hybrid electric vehicle (HEV) that uses multiple planetary gear units with clutches as transmission system is advanced for the powertrain performance, because the operation of the clutches can lead to distinct operating modes, and the induced possible operating modes provide additional freedom to deal with the energy optimal control problem. Under each operating mode, the powertrain mechanical system has specific dynamical behavior. In order to develop model-based optimization schemes that can tackle the transient operations of the vehicle, exact dynamical modeling is investigated focusing on a hybrid powertrain system that uses a two-planetary-gear transmission box with two clutches. It shows that according to the states of the two clutches, the powertrain system has the power-split mode, parallel mode and the electric vehicle (EV) mode. Finally, an analysis for the calculation of the desired driving torque and its application to the dynamic programming (DP)-based energy management indicate the significance of the developed exact dynamical models.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  1. Ehsani M, Gao Y, Gay S, et al. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, Fundamentals, Theory, and Design. 2nd ed. CRC Press LLC, 2010

  2. Zhang X W, Li S E, Peng H, et al. Efficient exhaustive search of power-split hybrid powertrains with multiple planetary gears and clutches. J Dyn Sys Meas Control, 2015, 137: 121006

    Article  Google Scholar 

  3. Zhang X W, Peng H, Sun J. A near-optimal power management strategy for rapid component sizing of multimode power split hybrid vehicles. IEEE Trans Contr Syst Technol, 2015, 23: 609–618

    Article  Google Scholar 

  4. Wang R, Lukic S M. Dynamic programming technique in hybrid electric vehicle optimization. In: Proceedings of IEEE International Electric Vehicle Conference, 2012. 1–8

  5. Kim N, Cha S, Peng H. Optimal control of hybrid electric vehicles based on Pontryagin’s minimum principle. IEEE Trans Contr Syst Technol, 2011, 19: 1279–1287

    Article  Google Scholar 

  6. Chen Z, Mi C, Xu J, et al. Energy management for a power-split plug-in hybrid electric vehicle based on dynamic programming and neural networks. IEEE Trans Veh Technol, 2014, 63: 1567–1580

    Article  Google Scholar 

  7. Tang L, Rizzoni G, Lukas M. Comparison of dynamic programming-based energy management strategies including battery life optimization. In: Proceedings of International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, 2016

  8. Guo L L, Chen H, Gao B Z, et al. Energy management of HEVs based on velocity profile optimization. Sci China Inf Sci, 2019, 62: 089203

    Article  Google Scholar 

  9. Borhan H, Vahidi A, Phillips A M, et al. MPC-based energy management of a power-split hybrid electric vehicle. IEEE Trans Contr Syst Technol, 2012, 20: 593–603

    Article  Google Scholar 

  10. Zhang J, Shen T. Real-time fuel economy optimization with nonlinear MPC for PHEVs. IEEE Trans Contr Syst Technol, 2016, 24: 2167–2175

    Article  Google Scholar 

  11. Guo L, Gao B, Li Y, et al. A fast algorithm for nonlinear model predictive control applied to HEV energy management systems. Sci China Inf Sci, 2017, 60: 092201

    Article  Google Scholar 

  12. Moura S J, Fathy H K, Callaway D S, et al. A stochastic optimal control approach for power management in plug-in hybrid electric vehicles. IEEE Trans Contr Syst Technol, 2011, 19: 545–555

    Article  Google Scholar 

  13. Di Cairano S, Bernardini D, Bemporad A, et al. Stochastic MPC with learning for driver-predictive vehicle control and its application to HEV energy management. IEEE Trans Contr Syst Technol, 2014, 22: 1018–1031

    Article  Google Scholar 

  14. Zhang J, Wu Y. A stochastic logical model-based approximate solution for energy management problem of HEVs. Sci China Inf Sci, 2018, 61: 070207

    Article  Google Scholar 

  15. Zhuang W, Zhang X, Li D, et al. Mode shift map design and integrated energy management control of a multi-mode hybrid electric vehicle. Appl Energy, 2017, 204: 476–488

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiangyan Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, J., Inuzuka, S., Kojima, T. et al. Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption. Sci. China Inf. Sci. 62, 222203 (2019). https://doi.org/10.1007/s11432-018-9864-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9864-8

Keywords