Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29785
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bifulco, Gennaro Nicola | - |
dc.contributor.author | Coppola, Angelo | - |
dc.contributor.author | Loizou, Savvas | - |
dc.contributor.author | Petrillo, Alberto | - |
dc.contributor.author | Santini, Stefania | - |
dc.date.accessioned | 2023-07-11T10:58:28Z | - |
dc.date.available | 2023-07-11T10:58:28Z | - |
dc.date.issued | 2021-09-07 | - |
dc.identifier.citation | 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021, Bari, 7 - 10 September 2021 | en_US |
dc.identifier.isbn | 9781665436120 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29785 | - |
dc.description.abstract | This paper addresses the problem of computing an eco-driving speed profile for an autonomous electric vehicle traveling along curvy roads while ensuring path following/car following functionalities w.r.t. possible preceding vehicles ahead. To solve it, we propose a double-layer control architecture combining the classical Adaptive Cruise Control with a Nonlinear Model Predictive Control. This latter is designed so to drive the autonomous vehicle along a predefined path while guaranteeing the maintenance of a safe distance w.r.t. a predecessor vehicle ahead and ensuring energy-saving consumption. The appraised control-oriented design model is non-linear and the energy consumption one explicitly accounts for the cornering effects. Numerical results confirm the effectiveness of the proposed control architecture and disclose its ability in guaranteeing energy saving. | en_US |
dc.language.iso | en | en_US |
dc.rights | © Elsevier B.V. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Autonomous Vehicle | en_US |
dc.subject | Eco-Driving | en_US |
dc.subject | Electric Vehicle | en_US |
dc.subject | Model Predictive Control | en_US |
dc.subject | Path Following | en_US |
dc.title | Combined Energy-oriented Path following and Collision Avoidance approach for Autonomous Electric Vehicles via Nonlinear Model Predictive Control | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | University of Naples Federico II | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Italy | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.relation.conference | 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 | en_US |
dc.identifier.doi | 10.1109/EEEIC/ICPSEurope51590.2021.9584501 | en_US |
dc.identifier.scopus | 2-s2.0-85126432761 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85126432761 | - |
cut.common.academicyear | 2021-2022 | en_US |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.openairetype | conferenceObject | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Mechanical Engineering and Materials Science and Engineering | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4083-9946 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
SCOPUSTM
Citations
5
checked on Nov 6, 2023
Page view(s)
135
Last Week
0
0
Last month
0
0
checked on Nov 6, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License