@inproceedings{e6e2035dc5cd4722a392e1d4248d1a85,
title = "Estimation of the maximum lateral tire-road friction coefficient using the 6-DoF sensor",
abstract = "Estimated peak tire-road friction coefficient can be implemented on various vehicle active safety control systems. But, it is not easy to get the actual data from the road cause of cost, equipment installation, maintenance and technical issues. The demands for real-time estimation of peak friction coefficient have been increased due to the above mentioned technical shortcomings. This paper provides the lateral tire-road friction coefficient estimation method using a simplified Dugoff tire model under the pure side slip condition. The rearranged Dugoff model respect to lateral friction coefficient consists of lateral tire force, normal tire force, wheel side slip angle and cornering stiffness. Therefore, aforementioned parameters are also identified based on vehicle model or it is assumed to be constant values in the proposed algorithm. The performance of developed algorithm is verified by Carsim and Matlab/Simulink. The simulation results encourage possible development of the proposed method in this paper.",
keywords = "Dugoff tire model, pure side slip, tire-road friction coefficient",
author = "Han, {Kyoung Seok} and Eunjae Lee and Seibum Choi",
note = "Publisher Copyright: {\textcopyright} 2015 Institute of Control, Robotics and Systems - ICROS.; 15th International Conference on Control, Automation and Systems, ICCAS 2015 ; Conference date: 13-10-2015 Through 16-10-2015",
year = "2015",
month = dec,
day = "23",
doi = "10.1109/ICCAS.2015.7364644",
language = "English",
series = "ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1734--1738",
booktitle = "ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings",
address = "United States",
}