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.

Vehicle parameters identification and states estimation / Capra, Damiano; Velardocchia, Mauro; Vigliani, Alessandro. - In: INTERNATIONAL JOURNAL OF MECHANICS AND CONTROL. - ISSN 1590-8844. - STAMPA. - 13:2(2012), pp. 85-90.

Vehicle parameters identification and states estimation

CAPRA, Damiano;VELARDOCCHIA, Mauro;VIGLIANI, Alessandro
2012

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2504157
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