Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health
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| Titre | Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health |
| Type de publication | Conference Paper |
| Year of Publication | 2021 |
| Auteurs | Romet P, Tabusse R, Gechter F, Aglzim E-H, Jemei S, Bouquain D, Chrenko D |
| Conference Name | 2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021) |
| Publisher | IEEE; IEEE Comp Soc; Biol Artificial Intelligence Fdn |
| Conference Location | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
| ISBN Number | 978-1-6654-0898-1 |
| Mots-clés | ACO, Autonomous Vehicle, DOD, EVRP, lithium-ion battery, SOE, SOH |
| Résumé | Freight transportation is evolving with the development of electric vehicle to carry out goods delivery rounds. In addition to the technological developments that make electric vehicles more and more suitable for long-distance traffic, the legislative framework also imposes these developments, such as the announced end of thermal vehicles in France in 2040. However, it is not possible to use an electric vehicle in the same way as an internal combustion vehicle. This technology impose to take into account the aging of the battery in order to define its use. |
| DOI | 10.1109/ICTAI52525.2021.00077 |