期刊
VEHICLE SYSTEM DYNAMICS
卷 53, 期 4, 页码 437-448出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00423114.2014.999800
关键词
cornering stiffness; dual Kalman filter; experiment; parameter identification
资金
- New Energy and Industrial Technology Development Organization (NEDO) as part of the project for the Development of Energy-saving ITS Technology
Cornering stiffness is one of the important vehicle parameters for steering control of a vehicle. Accurate vehicle parameters are essential for a high performance of vehicle control because vehicle control is significantly affected by variations in vehicle parameters. In this study, a novel identification method is proposed using a dual Kalman filter algorithm and a GPS (global positioning system) measurement system to estimate the cornering stiffness for on-board identification. Performance of the identification method is examined with experiments, and the estimation results show that this identification method is effective on both a flat road and a banked curve road.
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