Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 238264, 20 pages
http://dx.doi.org/10.1155/2015/238264
Research Article

A Novel Nonlinear Optimal Control Approach for the Dynamic Process of a Hybrid Electric Vehicle Equipped with Electromechanical Transmission

1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
2Department of Automotive Engineering, Tsinghua University, Beijing 100084, China

Received 18 December 2014; Revised 10 May 2015; Accepted 11 May 2015

Academic Editor: Asier Ibeas

Copyright © 2015 Changle Xiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. R. Salmasi, “Control strategies for hybrid electric vehicles: evolution, classification, comparison, and future trends,” IEEE Transactions on Vehicular Technology, vol. 56, no. 5, pp. 2393–2404, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Panday and H. O. Bansal, “A review of optimal energy management strategies for hybrid electric vehicle,” International Journal of Vehicular Technology, vol. 2014, Article ID 160510, 19 pages, 2014. View at Publisher · View at Google Scholar
  3. R. Wang and S. M. Lukic, “Dynamic programming technique in hybrid electric vehicle optimization,” in Proceedings of the IEEE International Electric Vehicle Conference (IEVC '12), IEEE, March 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. L. V. Pérez, G. R. Bossio, D. Moitre, and G. O. García, “Optimization of power management in an hybrid electric vehicle using dynamic programming,” Mathematics and Computers in Simulation, vol. 73, no. 1–4, pp. 244–254, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  5. Y. Zou, H. Shi-Jie, L. Dong-Ge, G. Wei, and X.-S. Hu, “Optimal energy control strategy design for a hybrid electric vehicle,” Discrete Dynamics in Nature and Society, vol. 2013, Article ID 132064, 8 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. A. P. Pourhashemi, S. M. M. A. Movahed, and M. S. Panahi, “Application of the fuel-optimal energy management in design study of a parallel hybrid electric vehicle,” Journal of Fuels, vol. 2014, Article ID 417172, 12 pages, 2014. View at Publisher · View at Google Scholar
  7. X. Fu, H. Wang, N. Cui, and C. Zhang, “Energy management strategy based on the driving cycle model for plugin hybrid electric vehicles,” Abstract and Applied Analysis, vol. 2014, Article ID 341096, 6 pages, 2014. View at Publisher · View at Google Scholar
  8. C. Musardo, G. Rizzoni, Y. Guezennec, and B. Staccia, “A-ECMS: an adaptive algorithm for hybrid electric vehicle energy management,” European Journal of Control, vol. 11, no. 4-5, pp. 509–524, 2005. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. C. Vagg, C. J. Brace, S. Akehurst, and L. Ash, “Minimizing battery stress during hybrid electric vehicle control design,” in Proceedings of the 9th IEEE Vehicle Power and Propulsion Conference (VPPC '13), University of Bath, 2013.
  10. B. Gu and G. Rizzoni, “An adaptive algorithm for hybrid electric vehicle energy management based on driving pattern recognition,” in Proceedings of the ASME International Mechanical Engineering Congress and Exposition (IMECE ’06), November 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Zou, F. Sun, X. Hu, L. Guzzella, and H. Peng, “Combined optimal sizing and control for a hybrid tracked vehicle,” Energies, vol. 5, no. 11, pp. 4697–4710, 2012. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Johannesson and B. Egardt, “A novel algorithm for predictive control of parallel hybrid powertrains based on dynamic programming,” Advances in Automotive Control, vol. 5, no. 1, pp. 343–350, 2007. View at Google Scholar
  13. P. Pisu and G. Rizzoni, “A supervisory control strategy for series hybrid electric vehicles with two energy storage systems,” in Proceedings of the IEEE Vehicle Power and Propulsion Conference (VPPC '05), IEEE, September 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Tulpule, V. Marano, and G. Rizzoni, “Energy management for plug-in hybrid electric vehicles using equivalent consumption minimisation strategy,” International Journal of Electric and Hybrid Vehicles, vol. 2, no. 4, pp. 329–350, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Sivertsson, “Adaptive control using map-based ECMS for a PHEV,” in Proceedings of the IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM '12), pp. 357–362, October 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Overington and S. Rajakaruna, “Review of PHEV and HEV operation and control research for future direction,” in Proceedings of the 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG '12), pp. 385–392, IEEE, Aalborg, Denmark, June 2012. View at Publisher · View at Google Scholar
  17. L. Johannesson, M. Åsbogård, and B. Egardt, “Assessing the potential of predictive control for hybrid vehicle powertrains using stochastic dynamic programming,” IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 1, pp. 71–83, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. J. Tate, J. W. Grizzle, and H. Peng, “Shortest path stochastic control for hybrid electric vehicles,” International Journal of Robust and Nonlinear Control, vol. 18, no. 14, pp. 1409–1429, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. Z. Lu, J. Song, H. Yuan, and L. Shen, “MPC-based torque distribution strategy for energy management of power-split hybrid electric vehicles,” in Proceedings of the 32nd Chinese Control Conference (CCC '13), pp. 7650–7655, IEEE, July 2013. View at Scopus
  20. S. J. Qin and T. A. Badgwell, “A survey of industrial model predictive control technology,” Control Engineering Practice, vol. 11, no. 7, pp. 733–764, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. T. S. Kim, C. Manzie, and R. Sharma, “Model predictive control of velocity and torque split in a parallel hybrid vehicle,” in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC '09), pp. 2014–2019, IEEE, San Antonio, Tex, USA, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  22. H. Borhan, A. Vahidi, A. M. Phillips, M. L. Kuang, I. V. Kolmanovsky, and S. Di Cairano, “MPC-based energy management of a power-split hybrid electric vehicle,” IEEE Transactions on Control Systems Technology, vol. 20, no. 3, pp. 593–603, 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. M. Bichi, G. Ripaccioli, S. Di Cairano, D. Bernardini, A. Bemporad, and I. V. Kolmanovsky, “Stochastic model predictive control with driver behavior learning for improved powertrain control,” in Proceedings of the 49th IEEE Conference on Decision and Control (CDC '10), pp. 6077–6082, IEEE, Atlanta, Ga, USA, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. S. D. Cairano, D. Bernardini, A. Bemporad, and I. V. Kolmanovsky, “Stochastic MPC with learning for driver-predictive vehicle control and its application to HEV energy management,” IEEE Transactions on Control Systems Technology, vol. 22, no. 3, pp. 1018–1031, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. R. C. B. Sampaio, A. C. Hernandes, V. D. V. M. Fernandes, M. Becker, and A. A. G. Siqueira, “A new control architecture for robust controllers in rear electric traction passenger HEVs,” IEEE Transactions on Vehicular Technology, vol. 61, no. 8, pp. 3441–3453, 2012. View at Publisher · View at Google Scholar · View at Scopus
  26. A. Rajagopalan and G. Washington, “Intelligent control of hybrid electric vehicles using GPS information,” SAE Technical Paper 2002-01-1936, SAE, 2002. View at Google Scholar
  27. C. Dextreit and I. V. Kolmanovsky, “Game theory controller for hybrid electric vehicles,” IEEE Transactions on Control Systems Technology, vol. 22, no. 2, pp. 653–663, 2014. View at Publisher · View at Google Scholar · View at Scopus
  28. M. Zhang, Y. Yang, and C. C. Mi, “Analytical approach for the power management of blended-mode plug-in hybrid electric vehicles,” IEEE Transactions on Vehicular Technology, vol. 61, no. 4, pp. 1554–1566, 2012. View at Publisher · View at Google Scholar · View at Scopus
  29. M. Song, J. Oh, S. Choi, Y. Kim, and H. Kim, “Optimal line pressure control for an automatic transmission-based parallel hybrid electric vehicle considering mode change and gear shift,” Advances in Mechanical Engineering, vol. 6, Article ID 216098, 2014. View at Publisher · View at Google Scholar · View at Scopus
  30. S. C. Garnett and E. D. Stemler, “Electro-mechanical transmission,” US Patent no. 5,980,410, 1999.
  31. G. Welch and G. Bishop, “An introduction to the Kalman filter,” 1995.
  32. M. Mastali, J. Vazquez-Arenas, R. Fraser, M. Fowler, S. Afshar, and M. Stevens, “Battery state of the charge estimation using Kalman filtering,” Journal of Power Sources, vol. 239, pp. 294–307, 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. Z. Donghao, X. Changle, H. Lijin, and Z. Hailiang, “Multi-objective power flow hierarchic optimization for the Electro-Mechanical Transmission of a heavy-duty vehicle,” in Proceedings of the IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific '14), pp. 1–6, IEEE, Beijing, China, August 2014. View at Publisher · View at Google Scholar
  34. Z. Xie, J. Li, and Z. Chen, Nonlinear Optimazation Theory and Methods, Higher Education Press, Beijing, China, 2012.