Identifying bottlenecks in charging infrastructure of plug-in hybrid electric vehicles through agent-based traffic simulation
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© 2015 Oxford University Press (OUP). This is the accepted version of the following article: Lindgren, Juuso ; Lund, Peter D. 2015. Identifying bottlenecks in charging infrastructure of plug-in hybrid electric vehicles through agent-based traffic simulation. International Journal of Low-Carbon Technologies. ISSN 1748-1317 (printed). DOI: 10.1093/ijlct/ctv008, which has been published in final form at http://ijlct.oxfordjournals.org/content/early/2015/04/20/ijlct.ctv008.full.pdf+html
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School of Science |
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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9
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International Journal of Low-Carbon Technologies
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.Description
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Lindgren, Juuso & Lund, Peter D. 2015. Identifying bottlenecks in charging infrastructure of plug-in hybrid electric vehicles through agent-based traffic simulation. International Journal of Low-Carbon Technologies. ISSN 1748-1317 (printed). DOI: 10.1093/ijlct/ctv008.