Highlights Proposed a model to site charging stations (CS) for electric vehicles (EV). Evaluated three EV adoption pathways with shared mobility and autonomous vehicles. Considered increasing EV adoption, queuing at CS, and flexible charging rules. No significant reduction in service level observed with increasing EV adoption. EV adoption in SAVs reduces CO2 emissions from taxis by 85% daily.

    Abstract The transportation sector is undergoing three revolutions: shared mobility, autonomous driving, and electrification. When planning the charging infrastructure for electric vehicles, it is critical to consider the potential interactions and synergies among these three emerging systems. This study proposes a framework to optimize charging infrastructure development for increasing electric vehicle (EV) adoption in systems with different levels of autonomous vehicle adoption and ride sharing participation. The proposed model also accounts for the pre-existing charging infrastructure, vehicle queuing at the charging stations, and the trade-offs between building new charging stations and expanding existing ones with more charging ports. Using New York City (NYC) taxis as a case study, we evaluated the optimum charging station configurations for three EV adoption pathways. The pathways include EV adoption in a 1) traditional fleet (non-autonomous vehicles without ride sharing), 2) future fleet (fully autonomous vehicles with ride sharing), and 3) switch-over from traditional to future fleet. Our results show that, EV adoption in a traditional fleet requires charging infrastructure with fewer stations that each has more charging ports, compared to the future fleet which benefits from having more scattered charging stations. Charging will only reduce the service level by 2% for a future fleet with 100% EV adoption. EV adoption can reduce CO2 emissions of NYC taxis by up to 861 Tones/day for the future fleet and 1100 Tones/day for the traditional fleet.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Siting charging stations for electric vehicle adoption in shared autonomous fleets


    Beteiligte:
    Lokhandwala, Mustafa (Autor:in) / Cai, Hua (Autor:in)


    Erscheinungsdatum :

    2020-01-11




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Synergies between repositioning and charging strategies for shared autonomous electric vehicle fleets

    Dean, Matthew D. / Gurumurthy, Krishna Murthy / de Souza, Felipe et al. | Elsevier | 2022


    Optimal siting and sizing of electric vehicle charging stations

    Jia, Long / Hu, Zechun / Song, Yonghua et al. | IEEE | 2012



    Understanding the Charging Flexibility of Shared Automated Electric Vehicle Fleets

    Schroeder, Alex / Moniot, Matthew / Reinicke, Nicholas et al. | SAE Technical Papers | 2020


    Understanding the Charging Flexibility of Shared Automated Electric Vehicle Fleets

    Moniot, Matthew / Ge, Yanbo / Reinicke, Nicholas et al. | British Library Conference Proceedings | 2020