Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

Abstract:

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

• Periodical: Advanced Materials Research (Volumes 328-330)
• Pages: 2172-2180
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.328-330.2172
• Online since: September 2011
• Authors: Zhi Long Xing, Yang Liu, Yun Feng Liu
• Keywords: Electric Vehicle (EV), Energy Recovery, Fuzzy Control, Instantaneous Torque Control, Motor-Generator Integrated

References

[1] E. Nakamura, M.Y. Soga and A. Sakai: SAE Pare, Vol. 32 (2005) No. 3, p.134.

[2] R. He: Journal of Jiangsu University (Natural Science Edition), Vol. 24 (2007) No. 6, p.58.

[3] Q. Xie and S.Z. Chen: Bus Technology and Research, Vol. 25 (2009) No. 4, p.65.

[4] Y. Xia: Micro-Motor, Vol. 36 (2008) No. 3, p.52.

[5] L. Li and Y.W. Hu: Journal of Motor and Control, Vol. 5 (2008) No. 1, p.27.

[6] H.W. Wang, C.F. Hu and G.L. Han: Transmission and Control, Vol. 21 (2007) No. 5, p.28.

[7] W. Wang and G.X. Zhao: Journal of Anhui University of Technology, Vol. 19 (2009) No. 4, p.325.

[8] Z.L. Gan and C.H. Chen: Testing Technology and Equipment, Vol. 28 (2008) No. 6, p.18.

[9] M. Sayeed and E.E. Malik: IEEE Trans on Industry Application (Turin, Italy, November 8-10, 2008). Vol. 3, p.729.

[10] Y.Q. Yu and B. Zeng: SCM Fuzzy Logic Control (Beijing University of Aeronautics and Astronautics Publications, China 2009), p.136.