Gain-Scheduled Control Approach by Logarithm Transformation for Electrical Vehicle Traction Force Control

Abstract:

This paper proposes an approach by logarithm to evaluating the electrical vehicle traction force control directly instead of the slip ratio measurements. Utilizing the built character database of the driven motor, or so-called current-RPM-torque database, a gain-scheduled approach by logarithm transformation is developed to provide the appropriate traction force while one traction wheel of the vehicle is traveling into different road surface. An illustrated simulation with a scenario close to real situation is also given to show the feasibility to evaluate and control the traction force through the database of the motor.

• Periodical: Applied Mechanics and Materials (Volume 619)
• Pages: 283-287
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.619.283
• Online since: August 2014
• Authors: Jieh Shian Young*, Yu Bang Lin, Kuan Jie Chen, Po Ting Chen
• Keywords: Electric Vehicle (EV), Logarithm Transformation, Slip Ratio, Traction Force Control

References

[1] Y. Hori, Y. Toyoda, and Y. Tsuruoka, Traction control of electric vehicle: basic experimental results using the test EV"UOT Electric March", IEEE Transactions on Industry Applications, vol. 34, pp.1131-1138 (1998).

DOI: 10.1109/28.720454

[2] Y. Hori, Future Vehicle Driven by Electricity and Control—Research on Four-Wheel-Motored "UOT Electric March II", IEEE Transactions on Intelligent Transportation Systems, vol. 51, pp.954-962, (2004).

DOI: 10.1109/tie.2004.834944

[3] P. Xu, Z. Hou, G. Guo, G. Xu, B. Cao, and Z. Liu, Driving and control of torque for direct-wheel-driven electric vehicle with motors in serial, Expert Systems with Applications, vol. 38, p.80–86, (2011).

DOI: 10.1016/j.eswa.2010.06.017

[4] F. Borrelli, A. Bemporad, M. Fodor, and D. Hrovat, An MPC/hybrid system approach to traction control, Control Systems Technology, IEEE Transactions on, vol. 14, pp.541-552, (2006).

DOI: 10.1109/tcst.2005.860527

[5] C. Canudas-De-Wit, H. Olson, K. J. Astrom, and P. Lischinsky, A new model for control of systems with friction, IEEE Transactions on Automatic Control, vol. 40, pp.419-425, (1995).

DOI: 10.1109/9.376053

[6] J. -S. Young, Y. -P. Lin, and P. -W. Shih, Neural network approach to gain scheduling for traction control of electrical vehicles, in Proceedings of 2013 5th International Conference on Mechanical and Electrical Technology (ICMET 2013), Chengdu, China, (2013).

DOI: 10.4028/www.scientific.net/amm.392.272