Pariota, L orcid.org/0000-0001-9173-666X, Pastore, SR and Timpone, F (2016) Modelling components for the fuel consumption investigation in Model in the Loop environment: Parameter tuning for an ecological fully-adaptive cruise control system. In: IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC 2016). EEEIC 2016, 07-10 Jun 2016, Florence, Italy. IEEE ISBN 9781509023196
Abstract
The research presented here is framed in the area of the design of Advanced Driving Assistance Systems (ADAS), carried out in the so-called automotive V-Cycle. In particular we concentrated our effort at the Model In the Loop (MIL) level. Indeed we developed an additional component for the fuel consumption evaluation at the MIL stage. The developed component has been based on the combination of a simplified model of the vehicle dynamics, and a fuel consumption model calibrated in previous experiments. The developed module is used for tuning the parameters of an Ecological fully Adaptive Cruise Control System.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Vehicles, Biological system modeling, Fuels, Vehicle dynamics, Computational modeling, Adaptation models, Acceleration |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Oct 2016 10:31 |
Last Modified: | 16 Jan 2018 21:57 |
Published Version: | https://doi.org/10.1109/EEEIC.2016.7555690 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/EEEIC.2016.7555690 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106526 |