Research on Electronic Differential Control Method of Electric Vehicle with Motorized Wheels Based on Adhesion Coefficient

Article Preview

Abstract:

This paper presents an electronic differential control strategy based on equal adhesion coefficient, it makes electric vehicle (EV) with two dual-motorized-wheels achieve differential by distributing and controlling the driving torque. First, six degree-of-freedom (6-DOF) vehicle dynamic model was set up and electronic differential system based on permanent magnet synchronous motor (PMSM) vector control was designed, then the simulation of differential control method with Matlab/Simulink was performed. The results show that when the high-speed vehicle steering in the low road adhesion coefficient, the electronic differential control method based on the principle of equal adhesion coefficient can keep two driving wheels’ adhesion coefficient utilization ratio the same, avoiding single wheel skid and improving the steering stability.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

950-956

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yong ZHOU, Shengjin LI, Qixun ZHOU, Zongde FANG. The control strategy of electronic differential for EV with four in-wheel motors.2010 Chinese Control and Decision Conference, 2010; p.4190–4195.

DOI: 10.1109/ccdc.2010.5498381

Google Scholar

[2] B. Tabbache, A. Kheloui, N. Hanini. An electric differential system for a two-wheel mobile plat-form using direct Torque control with adaptive flux and speed observers. SPEEDAM 2008 - International Symposium on Power Electronics, Electrical Drives, Automation and Motion ; 2008, p.550 – 556.

DOI: 10.1109/speedham.2008.4581327

Google Scholar

[3] Ying-hui GE; Guang-zheng NI. Novel electric differential control scheme for electric vehicles. Journal of Zhejiang University (Engineering Science), vol. 39, no. 12; 2005, p.1973–1978.

Google Scholar

[4] Y. E. Zhao, J. W. Zhang , X. Q. Guan. Modeling and simulation of electronic differential system for an electric vehicle with two-motor-wheel drive. 2009 IEEE Intelligent Vehicles Symposium (IV), Xi'an China . IEEE 2008, p.1209 – 1214.

DOI: 10.1109/ivs.2009.5164454

Google Scholar

[5] Guangqiang WU. Automotive Theory. Beijing: China Communications Press, 2007.

Google Scholar

[6] Guofu Liu, Qi Zhang, Yueke Wang, Weifeng Zheng. A study on calculation of optimal slip ratio in anti-lock braking system. Automotive Engineering, vol.26, no.3;2004, p.302~305.

Google Scholar

[7] K. Hartani, M. Bourahla, Y. Miloud, M.Sekkour. Electronic differential with direct torque fuzzy control for vehicle propulsion system. Turkish Journal of Electrical Engineering and Computer Sciences ,vol.17, no.1;2009, p.21– 38.

DOI: 10.3906/elk-0801-1

Google Scholar