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Mathematical Problems in Engineering
Volume 2013, Article ID 410864, 7 pages
http://dx.doi.org/10.1155/2013/410864
Research Article

Optimal Slip Ratio Based Fuzzy Control of Acceleration Slip Regulation for Four-Wheel Independent Driving Electric Vehicles

1School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China

Received 26 September 2013; Accepted 27 October 2013

Academic Editor: Hui Zhang

Copyright © 2013 Guodong Yin 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. L. Keqiang, “Automotive technology development trends and countermeasures of China,” Automotive Engineering, vol. 31, no. 11, pp. 1005–1016, 2009. View at Google Scholar
  2. G. Chunlin, Z. Zijian, W. Li et al., “Prospects and key factors analysis of electric vehicles development,” Automotive Engineering, vol. 34, no. 9, pp. 852–858, 2012. View at Google Scholar
  3. G. Yin, N. Chen, and P. Li, “Improving handling stability performance of four-wheel steering vehicle via μ-synthesis robust control,” IEEE Transactions on Vehicular Technology, vol. 56, no. 5, pp. 2432–2439, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. Z. Shuai, H. Zhang, J. Wang, J. Li, and M. Ouyang, “Combined AFS and DYC control of four-wheel-independent-drive electric vehicles over can network with time-varying delays,” IEEE Transactions on Vehicular Technology, 2013. View at Publisher · View at Google Scholar
  5. L. Gang, Z. Changfu, Z. Qiang et al., “Acceleration slip regulation control of 4WID electric vehicles based on fuzzy road identification,” Journal of South China University of Technology, vol. 40, no. 12, pp. 99–104, 2012. View at Google Scholar
  6. J. Deur, D. Pavković, G. Burgio, and D. Hrovat, “A model-based traction control strategy non-reliant on wheel slip information,” Vehicle System Dynamics, vol. 49, no. 8, pp. 1245–1265, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. D. Yin, S. Oh, and Y. Hori, “A novel traction control for EV based on maximum transmissible torque estimation,” IEEE Transactions on Industrial Electronics, vol. 56, no. 6, pp. 2086–2094, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Yoshimura and H. Fujimoto, “Driving torque control method for electric vehicle with in-wheel motors,” IEEJ Transactions on Industry Applications, vol. 131, no. 5, pp. 721–728, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. H. Zhang, Y. Shi, and J. Wang, “Observer-based tracking controller design for networked predictive control systems with uncertain Markov delays,” International Journal of Control, vol. 86, no. 10, pp. 1824–1836, 2013. View at Google Scholar
  10. R. De Castro, R. Esteves Araújo, and D. Freitas, “Wheel slip control of EVS based on sliding mode technique with conditional integrators,” IEEE Transactions on Industrial Electronics, vol. 60, no. 8, pp. 3256–3271, 2013. View at Google Scholar
  11. H. Zhang, Y. Shi, and A. Saadat Mehr, “Robust static output feedback control and remote PID design for networked motor systems,” IEEE Transactions on Industrial Electronics, vol. 58, no. 12, pp. 5396–5405, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. D. Zhiqiang, Fuzzy control of acceleration slip regulation for electric vehicles with in-wheel motors [M.S. thesis], Tongji University, Shanghai, China, 2006.
  13. H. Zhang, Y. Shi, and M. Liu, “H step tracking control for networked discrete-time nonlinear systems with integral and predictive actions,” IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 337–345, 2013. View at Google Scholar
  14. Y. Jiantao, Adhesion control method based on nonlinear control for four-wheel drive electric vehicle [M.S. thesis], Tongji University, Shanghai, China, 2008.
  15. H. Zhang, Y. Shi, and A. Saadat Mehr, “On H filtering for discrete-time takagi-sugeno fuzzy systems,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 2, pp. 396–401, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. N. Zhao and B.-M. Ge, “H robust control of permanent magnet synchronous motor used in electric vehicle,” Electric Machines and Control, vol. 11, no. 5, pp. 462–466, 2007. View at Google Scholar · View at Scopus