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Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles

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Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles

dc.contributor.author	Girbés, Vicent
dc.contributor.author	Hernández Ferrándiz, Daniel
dc.contributor.author	Armesto, Leopoldo
dc.contributor.author	Dols, Juan F.
dc.contributor.author	Sala, Antonio
dc.date.accessioned	2020-06-22T10:17:34Z
dc.date.available	2020-06-22T10:17:34Z
dc.date.issued	2019
dc.identifier.citation	Girbés, Vicent Hernández Ferrándiz, Daniel Armesto, Leopoldo Dols, Juan F. Sala, Antonio 2019 Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles Sensors 19 3515 1 19
dc.identifier.uri	https://hdl.handle.net/10550/75163
dc.description.abstract	Modelling the dynamic behaviour of heavy vehicles, such as buses or trucks, can be very useful for driving simulation and training, autonomous driving, crash analysis, etc. However, dynamic modelling of a vehicle is a difficult task because there are many subsystems and signals that affect its behaviour. In addition, it might be hard to combine data because available signals come at different rates, or even some samples might be missed due to disturbances or communication issues. In this paper, we propose a non-invasive data acquisition hardware/software setup to carry out several experiments with an urban bus, in order to collect data from one of the internal communication networks and other embedded systems. Subsequently, non-conventional sampling data fusion using a Kalman filter has been implemented to fuse data gathered from different sources, connected through a wireless network (the vehicle's internal CAN bus messages, IMU, GPS, and other sensors placed in pedals). Our results show that the proposed combination of experimental data gathering and multi-rate filtering algorithm allows useful signal estimation for vehicle identification and modelling, even when data samples are missing.
dc.language.iso	eng
dc.relation.ispartof	Sensors, 2019, vol. 19, num. 3515, p. 1-19
dc.subject	Vehicles
dc.subject	Simulació per ordinador
dc.title	Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles
dc.type	journal article	es_ES
dc.date.updated	2020-06-22T10:17:35Z
dc.identifier.doi	10.3390/s19163515
dc.identifier.idgrec	140059
dc.rights.accessRights	open access	es_ES