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Identifying bottlenecks in charging infrastructure of plug-in hybrid electric vehicles through agent-based traffic simulation

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  • Juuso Lindgren
  • Peter D. Lund

Abstract

The effect of different charging infrastructure configurations on the electric-driven distance of plug-in hybrid electric vehicles (e-mileage) has been investigated, using an agent-based traffic simulation. Our findings suggest that the same e-mileage can be achieved with fewer charging poles if the poles support charging from several parking slots around them, and the charging cable is switched from one vehicle to the next. We also find that the charging power supported by most Finnish charging stations, 3.7 kW, and the cable switching delay of 1 h seem to be sufficient for effective workplace charging.

Suggested Citation

  • Juuso Lindgren & Peter D. Lund, 2015. "Identifying bottlenecks in charging infrastructure of plug-in hybrid electric vehicles through agent-based traffic simulation," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 10(2), pages 110-118.
    • Handle: RePEc:oup:ijlctc:v:10:y:2015:i:2:p:110-118.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctv008
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    Cited by:

    1. Kumar, Ravi & Lamba, Kuldeep & Raman, Avinash, 2021. "Role of zero emission vehicles in sustainable transformation of the Indian automobile industry," Research in Transportation Economics, Elsevier, vol. 90(C).
    2. Helmus, Jurjen R. & Lees, Michael H. & van den Hoed, Robert, 2022. "A validated agent-based model for stress testing charging infrastructure utilization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 237-262.
    3. Essam H. Houssein & Sanchari Deb & Diego Oliva & Hegazy Rezk & Hesham Alhumade & Mokhtar Said, 2021. "Performance of Gradient-Based Optimizer on Charging Station Placement Problem," Mathematics, MDPI, vol. 9(21), pages 1-16, November.
    4. Utomo, D.S. & Gripton, A. & Greening, P., 2021. "Analysing charging strategies for electric LGV in grocery delivery operation using agent-based modelling: An initial case study in the United Kingdom," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).

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