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Adhesion Control Method Based on Fuzzy Logic Control for Four-Wheel Driven Electric Vehicle

Journal Article
2010-01-0109
ISSN: 1946-3995, e-ISSN: 1946-4002
DOI: https://doi.org/10.4271/2010-01-0109
Published April 12, 2010 by SAE International in United States
Adhesion Control Method Based on Fuzzy Logic Control for Four-Wheel Driven Electric Vehicle
Sector:
Citation: Chen, H., Yang, J., Du, Z., and Wang, W., "Adhesion Control Method Based on Fuzzy Logic Control for Four-Wheel Driven Electric Vehicle," SAE Int. J. Passeng. Cars – Mech. Syst. 3(1):217-225, 2010, https://doi.org/10.4271/2010-01-0109.
Language: English

References

  1. Hori Yoichi Toyoda Yasushi Tsuruoka Yoshimasa “Traction Control of Electric Vehicle: Basic Experimental Results Using the Test EV “UOT Electric March”,” IEEE Trans. on Ind. Appl. 34 5 1131 1138 1998
  2. Hori Yoichi “Future Vehicle driven by Electricity and Control-research on four wheel motored “UOT Electric March II”,” 7th International Workshop on Advanced Motion Control 1 14 2002
  3. Sado Hideo Sakai Shin-ichiro Hori Yoichi “Road condition estimation for traction control in electric vehicle,” The 1999 IEEE International Symposium on Industrial Electronics 973 978 Bled, Slovenia 1999
  4. Sakai Shin-ichiro Hori Yoichi “Advantage of Electric Motor for Anti Skid Control of Electric Vehicle,” EPE Journal (European Power Electronics and Drives Journal) 11 4 26 32 September/November 2002
  5. Sakai Shin-ichiro Sado Hideo “Novel Skid Detection Method without Vehicle Chassis Speed for Electric Vehicle,” JSAE Review 21 4 503 510 Oct 2000
  6. Sakai Shin-ichiro Sado Hideo Hori Yoichi “Anti Skid Control with Motor in Electric Vehicle,” Advanced Motion Control 2000, Proceedings of 6th International Workshop 317 322 30 March 1 April 2000
  7. Khatun P. Bingham C. M. Schofield N. Mellor P. H. “Application of Fuzzy Control Algorithms for Electric Vehicle Antilock Braking/Traction Control Systems,” IEEE 52 5 1356 1364 2003
  8. Matsumoto Yasushi Eguchi Naoya Kawamura Atsuo “Novel Re-adhesion Control of Single Inverter Multiple Induction Motors Drives for the Rolling Stock Traction System” (Japanese) IEEJ Trans. IA 123 5 591 599 2003
  9. Ohishi, K. Ogawa, Y. Miyashita, I. Yasukawa, S. “Anti-slip re-adhesion control of electric motor coach based on force control using disturbance observer,” Industry Applications Conference, 2000. Conference Record of the 2000 IEEE 2 1001 1007 2000
  10. Kadowaki Satoshi Hata Tadashi Hirose Hiroshi Ohishi Kiyoshi “Application Results and Evaluation of Anti-slip Re-adhesion Control Based on Speed Sensorless Vector Control and Disturbance Observer for Electric Multiple Units, Series 205-5000” (Japanese) IEEJ Trans. IA 124 9 909 916 2004
  11. Bakker, E. Pacejka, H.B. Lidner, L. “A New Tire Model with an Application in Vehicle Dynamics Studies,” SAE Technical Paper 890087 1989
  12. PACEJKA H.B. et al Magic Formula Tyre Model with Transient Properties Vehicle System Dynamics 27 234 249 1997
  13. Chen Hui Du Zhiqiang Zuo Jianling Wang Ju Zhuo Guirong Yu Zhuoping “New Adhesion Control Method for In-Wheel-Motor Driven Electric Vehicle,” Proceedings of the 13th International Pacific Conference on Automotive Engineering 126 131 Gyeongju, Korea 2005
  14. Chen Hui Du Zhiqiang Zhuo Guirong Zuo Jianling Yu Zhuoping “A Study on Anti-slip Control of Electric Vehicle with in-wheel-motor,” Proceedings of the 31st FISITA World Automotive Congress, Paper No. F2006V155 Yokohama, Japan 2006

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