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Smart and green adaptive cruise control for an electric vehicle: First results

Roman Potarusov 1 Lydie Nouveliere 2 Olivier Orfila 1 Sébastien Glaser 1
1 IFSTTAR/COSYS/LIVIC - Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
Abstract : This paper concerns the development of the Smart and Green Adaptive Cruise Control aiming at controlling the ego vehicle speed taking into account the road data in order to optimize the energy consumption while improving safety (no collision, under the legal speed, up to the safe headway). A graph search algorithm of Dijkstra is used to build up a velocity pattern offering the best compromise between energy consumed and covered time.
Keywords : Electric vehicle Energy efficiency Optimization Vehicle modeling
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00866856
Contributor : Frédéric Davesne <>
Submitted on : Friday, September 27, 2013 - 11:34:45 AM
Last modification on : Tuesday, December 8, 2020 - 10:20:49 AM

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IBISC | IBISC-SIBI | UNIV-EVRY | IFSTTAR | TDS-MACS

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Roman Potarusov, Lydie Nouveliere, Olivier Orfila, Sébastien Glaser. Smart and green adaptive cruise control for an electric vehicle: First results. 7th IFAC Conference on Manufacturing Modelling, Management, and Control (MIM 2013), Jun 2013, Saint Petersburg, Russia. pp.596--601, ⟨10.3182/20130619-3-RU-3018.00190⟩. ⟨hal-00866856⟩

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