On the Road Profile Estimation from Vehicle Dynamics Measurements
Technical Paper
2021-01-1115
ISSN: 0148-7191, e-ISSN: 2688-3627
Sector:
Language:
English
Abstract
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.
Authors
Topic
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.Data Sets - Support Documents
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