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Vehicle parameters identification and states estimation

Authors: CAPRA, Damiano; VELARDOCCHIA, Mauro; VIGLIANI, Alessandro;

Vehicle parameters identification and states estimation

Abstract

This paper presents a method to evaluate vehicle static inertial parameters and dynamic states based on measured wheel forces. By combining a traditional vehicle model with the sensed forces, a simple observer may be devised to compute at first vehicle mass inertial properties; then, using also the other information currently available on passenger cars, the full vehicle state can be estimated. The estimation procedure and algorithms are validated with a nonlinear vehicle model: the results obtained from several simulation examples show that estimates of the inertial parameters generally have small relative errors; moreover also the estimates of the dynamic states appear promising.

Country
Italy
Related Organizations
Keywords

vehicle parameters; state estimation; vehicle dynamic model; measured hub forces

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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