ESTIMATION OF ROAD BANK ANGLE AND VEHICLE SIDE SLIP
ANGLE USING BAYESIAN TRACKING AND KALMAN FILTER
APPROACH |
Minje Hyun, Wanki Cho |
Hyundai Kia Motors |
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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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