Dynamic charging management for electric vehicle demand responsive transport

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Résumé

With the climate change challenges, transport network companies started to electrify their fleet to reduce CO2 emissions. However, such ecological tran-sition brings new research challenges for dynamic electric fleet charging management under uncertainty. In this study, we address the dynamic charg-ing scheduling management of shared ride-hailing services with public charg-ing stations. A two-stage charging scheduling optimization approach under a rolling horizon framework is proposed to minimize the overall charging op-erational costs of the fleet, including vehicles’ access times, charging times, and waiting times, by anticipating future public charging station availability. The charging station occupancy prediction is based on a hybrid LSTM (Long short-term memory) network approach and integrated into the proposed online vehicle-charger assignment. The proposed methodology is applied to a realistic simulation study in the city of Dundee, UK. The numerical studies show that the proposed approach can reduce the total charging waiting times of the fleet by 48.3% and the total charged amount of energy of the fleet by 35.3% compared to a need-based charging reference policy.
langue originaleAnglais
titreSmart Energy for Smart Transport.
Sous-titreProceedings of the 6th Conference on Sustainable Urban Mobility, CSUM2022, August 31-September 2, 2022, Skiathos Island, Greece
rédacteurs en chefEftihia G. Nathanail, Nikolaos Gavanas, Giannis Adamos
Lieu de publicationCham
EditeurSpringer
Pages171-182
Nombre de pages12
ISBN (Electronique)978-3-031-23721-8
ISBN (imprimé)978-3-031-23720-1
Les DOIs
étatPublié - 11 mars 2023

Série de publications

Nom Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)
EditeurSpringer
ISSN (imprimé)2523-3440
ISSN (Electronique)2523-3459
  • Demand responsive feeder bus service using electric vehicles with timetabled transit coordination

    Fang, Y. & Ma, T-Y., 11 mars 2023, Smart Energy for Smart Transport: Proceedings of the 6th Conference on Sustainable Urban Mobility, CSUM2022, August 31-September 2, 2022, Skiathos Island, Greece. Nathanail, E. G., Gavanas, N. & Adamos, G. (eds.). Cham: Springer, p. 91-103 13 p. (Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)).

    Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionChapterRevue par des pairs

    43 Téléchargements (Pure)

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