On the Road Profile Estimation from Vehicle Dynamics
Measurements 2021-01-1115
Ride comfort assessment is undoubtedly related to the interaction between the
vehicle tires and the road surface. Indeed, the road profile represents the
typical input for tire vertical load estimation in durability analysis and for
active/semi-active suspension controller design. However, the road profile
evaluation through direct experimental measurements involves long test time and
excessive cost required by professional instrumentations to detect the road
irregularities with sufficient accuracy. An alternative is shifting attention
towards efficient and robust algorithms for indirect road profile evaluation.
The object of this work aims at providing road profile estimation starting from
vehicle dynamics measurements, through accessible and traditional sensors, with
the application of a linear Kalman filter algorithm. The filter is designed and
tuned by considering the pitch/bounce half-car models for the prediction phase
and by measuring vertical accelerations and angular speeds for the correction
phase. The estimator is then tested on experimental data, acquired driving a
passenger car over a road bump at different vehicle speeds. The vehicle used in
the experimental campaign is a two-passenger electric quadricycle involved in
the demonstration phase of the European project STEVE.
Citation: Vella, A., Tota, A., and Vigliani, A., "On the Road Profile Estimation from Vehicle Dynamics Measurements," SAE Technical Paper 2021-01-1115, 2021, https://doi.org/10.4271/2021-01-1115. Download Citation
Author(s):
Angelo Domenico Vella, Antonio Tota, Alessandro Vigliani
Affiliated:
Politecnico di Torino
Event:
Noise and Vibration Conference & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Vehicle dynamics
Vehicle ride
Active suspension systems
Semi-active suspension systems
Roads and highways
Comfort
Mathematical models
Pitch
Tires
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