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International Journal of Automotive Technology > Volume 19(6); 2018 > Article
International Journal of Automotive Technology 2018;19(6): 993-1000.
ESTIMATION OF ROAD BANK ANGLE AND VEHICLE SIDE SLIP ANGLE USING BAYESIAN TRACKING AND KALMAN FILTER APPROACH
Minje Hyun, Wanki Cho
Hyundai Kia Motors
PDF Links Corresponding Author.  Wanki Cho , Email. nawanki@hyundai.com
ABSTRACT
A lateral acceleration is considered to be a significant sensor signal for an estimation of a side slip angle. Due to the fact that a characteristic of a lateral G sensor, the sensor has a technical issue when a road bank angle has presented. In order to resolve the issue, this paper describes a novel method for the real time estimation of a vehicle side slip angle and a road bank angle simultaneously. A Bayesian tracking approach is used to estimate the road bank angle by comparing a measured lateral acceleration with the calculated one in the case of various angle. A Kalman Filter has been implemented through bicycle model using vehicle roll angle, road bank angle and angular velocity of side slip angle. The performance of the proposed estimation method has been evaluated via vehicle tests on a real road.
Key Words: Vehicle side slip angle, Road bank angle, Bayesian tracking, Kalman-filter
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