Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles
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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

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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.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.rights.uri info:eu-repo/semantics/openAccess
dc.source 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.subject Vehicles
dc.subject Simulació per ordinador
dc.title Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles
dc.type info:eu-repo/semantics/article
dc.date.updated 2020-06-22T10:17:35Z
dc.identifier.doi https://doi.org/10.3390/s19163515
dc.identifier.idgrec 140059

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