Full vehicle and tyre identification using unscented and extended identifying Kalman Filters

This paper considers identification of all significant vehicle handling and driveline dynamics of a test vehicle, including identification of a combined-slip tyre model, using only those sensors currently available on most vehicle CAN buses. The method extends previous work using augmented Kalman Fi...

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Bibliographic Details
Main Authors: Matt Best, Karol Bogdanski
Format: Default Conference proceeding
Published: 2016
Subjects:
Other engineering not elsewhere classified
Topics / vehicle dynamics
Tyre model
Modeling and simulation
State estimation
System identification
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/22450
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