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    Impacts of charging behavior on BEV charging infrastructure needs and energy use

    Impacts of charging behavior on BEV charging infrastructure needs and energy use


    Abstract Battery electric vehicles (BEVs) are vital in the sustainable future of transport systems. Increased BEV adoption makes the realistic assessment of charging infrastructure demand critical. The current literature on charging infrastructure often uses outdated charging behavior assumptions such as universal access to home chargers and the “Liquid-fuel” mental model. We simulate charging infrastructure needs using a large-scale agent-based simulation of Sweden with detailed individual characteristics, including dwelling types and activity patterns. The two state-of-art archetypes of charging behaviors, “Plan-ahead” and “Event-triggered”, mirror the current infrastructure built-up, suggesting 2.3–4.5 times more public chargers per BEV than the “Liquid-fuel” mental model. We also estimate roughly 30–150 BEVs served by a slow charger may be needed for non-home residential overnight charging.

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    Titel :

    Impacts of charging behavior on BEV charging infrastructure needs and energy use

    Beteiligte:
    Liao, Yuan (Autor:in) / Tozluoğlu, Çağlar (Autor:in) / Sprei, Frances (Autor:in) / Yeh, Sonia (Autor:in) / Dhamal, Swapnil (Autor:in)
    Erschienen in:

    Transportation Research Part D: Transport and Environment ; 116

    Erscheinungsdatum :

    2023-01-30

    ISSN :

    1361-9209

    DOI :

    https://doi.org/10.1016/j.trd.2023.103645

    Medientyp :

    Aufsatz (Zeitschrift)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Battery electric cars , Agent-based simulation , Charging behavior , Synthetic population , Infrastructure , Spatio-temporal patterns

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