Research on Road Adhesion Coefficient Estimation for Electric Vehicle under Tire Cornering Condition

Yi Chen; Xue Feng Li; Tong Qu

doi:10.4028/www.scientific.net/AMM.427-429.275

Paper Titles

Study on Self-Excited Vibration Mechanism of Wheel-Rail Lateral Contact System
p.257

Research on Pressure Field of Hydrostatic Center Rest
p.262

Dynamics Simulation Analysis of Centrifuge Facility-Vibration Shaker System Virtual Mocking Based on Flexible Centrifuge Arm
p.266

Effect Research of Cavity Configuration on Net Thrust of Hypersonic Vehicle
p.271

Research on Road Adhesion Coefficient Estimation for Electric Vehicle under Tire Cornering Condition
p.275

The Research for the Energy Saving Effect of Permanent Magnetic Drive Technology in Pumping Systems
p.280

Analysis of a New Ventilation Flow Filed of Ultraviolet Cross-Linking Irradiation Box
p.285

Simulation on Pressure Field of Gap Oil Film in Constant Flow Hydrostatic Center Frame
p.289

Modeling and Estimation of Rheological Properties Based on Finite Element Analysis and Computer Simulation Technology
p.293

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Research on Road Adhesion Coefficient Estimation...

Research on Road Adhesion Coefficient Estimation for Electric Vehicle under Tire Cornering Condition

Abstract:

The research came up with a road adhesion coefficient estimation method for electric vehicle under tire cornering condition, compared with the previous researches that mainly focused on tire longitudinal behaviors. The designed identification method first distinguishes the states of small longitudinal slip and large longitudinal slip in the condition of tire cornering. Then estimation algorithms for the two conditions above operate respectively. By designing the simulation and selecting typical road conditions, the applicability and validity of the algorithm have been verified. The estimation method can be used to serve the electric vehicles dynamics stability control system.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

275-279

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.275

Citation:

Cite this paper

Online since:

September 2013

Authors:

Yi Chen*, Xue Feng Li, Tong Qu

Keywords:

Electric Vehicle (EV), Estimation of Road Adhesion Coefficient, Tire Cornering Condition, Wheel Slip State Identification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Wang Junmin, Lee Alexander, Rajesh Rajamani. Friction Estimation on Highway Vehicles Using Longitudinal Measurements [J]. Journal of Dynamic Systems, Measurement, and Control. 2004, Vol. 1 26(6): 265-275.

DOI: 10.1115/1.1766028

Google Scholar

[2] Takaji Umeno. Estimation of Tire-road Friction by Tire Rotational Vibration Model [R]. R&D Review of Toyota CRDL. 2002, 01. 37(3): 53-58.

Google Scholar

[3] Jin Oh Hahn, Rajesh Rojesh and Lee Alexander. GPS based Real-time Identification of Tire Road Friction Coefficient [C]. IEEE Transaction on Control Systems Technology. 2002. Vol. 10(3): 331-343.

DOI: 10.1109/87.998016

Google Scholar

[4] Nishira Hikaru, Taketoshi Kawabe, Seiichi Shin. Road Friction Estimmion Using Adaptive Observer with Periodical modification [C]. IEEE l999: 662-667.

DOI: 10.1109/cca.1999.806731

Google Scholar

[5] Yi Kyongsu, Jeoung Taeyoung. Road Friction Estimation Using Wheel Speed Sensor [C]. World Congress on ITS. 1998: l-8.

Google Scholar

[6] M. A. Wilkin, W. J. Manning, D. A. Crolla, M. C. Levesley. Use of an extended Kalman filter as a robust tyre force estimator [J]. Vehicle System Dynamics. 2006, 44(Supp l): 50-59.

DOI: 10.1080/00423110600867325

Google Scholar

[7] V. Ivanovic, J. Deur, M. Kostelac, Z. Herold, M. Troulis. Experimental identification of dynamic tire friction potential on ice surfaces [J]. Vehicle System Dynamics, 2006, 44(Supp 1): 93-103.

DOI: 10.1080/00423110600869230

Google Scholar

[8] Yu Zhisheng. Automobile Theory (the third edition) [M]. Beijing: China Machine Press, 2000. 10.

Google Scholar

[9] Guo Konghui. Vehicle Handing Dynamics [M]. Changchun: Jilin science & technology press, 1991. 12.

Google Scholar

[10] Wang Zhixian. The optimal state estimation and system identification [M]. Xi'an: Northwestern Polytechnic University Press, (2004).

Google Scholar