The current scarcity of public charging infrastructure is one of the major barriers to mass household adoption of plug-in electric vehicles (PEVs). Although most PEV drivers can recharge their vehicles at home, the limited driving range of the vehicles restricts their usefulness for long-distance travel. In this paper, an agent-based information system is presented for identifying patterns in residential PEV ownership and driving activities to enable strategic deployment of new charging infrastructure. Driver agents consider their own driving activities within the simulated environment, in addition to the presence of charging stations and the vehicle ownership of others in their social network, when purchasing a new vehicle. Aside from conventional vehicles, drivers may select among multiple electric alternatives, including two PEV options. The Chicagoland area is used as a case study to demonstrate the different deployment scenarios are analyzed.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Agent-Based Information System for Electric Vehicle Charging Infrastructure Deployment


    Contributors:
    T. M. Sweda (author) / D. Klabjan (author)

    Publication date :

    2012


    Size :

    20 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Strategic Charging Infrastructure Deployment for Electric Vehicles

    M. Li / Y. Jia / Z. Shen et al. | NTIS | 2016


    Deployment of Charging Infrastructure for Battery Electric Buses

    Randhahn, Annette / Knote, Thoralf | Springer Verlag | 2020


    ELECTRIC VEHICLE CHARGING INFRASTRUCTURE

    GUY PAUL | European Patent Office | 2021

    Free access

    Deployment of electric vehicle charging infrastructure. Application to the city of Madrid

    DARCHERIF Alexandre / AMGHAR Bilal / DOUFENE Abdelkrim et al. | DOAJ | 2020

    Free access

    Electric vehicle charging infrastructure

    CHAUDHARY ARJUN / DE HOOG JULIAN | European Patent Office | 2020

    Free access