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Designing charging infrastructure for a fleet of electric vehicles operating in large urban areas
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-8499-0843
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2017 (English)In: ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, SciTePress , 2017, p. 360-368Conference paper, Published paper (Refereed)
Abstract [en]

Here, we propose a method to design a charging infrastructure for a fleet of electric vehicles such as a fleet of taxicabs, fleet of vans used in the city logistics or a fleet of shared vehicles, operating in large urban areas. Design of a charging infrastructure includes decisions about charging stations location and number of charging points at each station. It is assumed that the fleet is originally composed of vehicles equipped with an internal combustion engine, however, the operator is wishing to replace them with fully electric vehicles. To avoid an interaction with other electric vehicles it is required to design a private network of charging stations that will be specifically adapted to the operation of a fleet. It is often possible to use GPS traces of vehicles characterizing actual travel patterns of individual vehicles. First, to derive a suitable set of candidate locations from GPS data, we propose a practical procedure where the outcomes can be simply controlled by setting few parameter values. Second, we formulate a mathematical model that combines location and scheduling decisions to ensure that requirements of vehicles can be satisfied. We validate the applicability of our approach by applying it to the data characterizing a large taxicab fleet operating in the city of Stockholm. Our results indicate that this approach can be used to estimate the minimal requirements to set up the charging infrastructure. 

Place, publisher, year, edition, pages
SciTePress , 2017. p. 360-368
Keywords [en]
Charging Infrastructure, Electric Vehicles, GPS Traces, Urban Areas, Charging (batteries), Design, Internal combustion engines, Location, Operations research, Taxicabs, Trucks, Candidate locations, Charging infrastructures, Charging station, Data characterizing, Practical procedures, Scheduling decisions, Fleet operations
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-236842ISI: 000413254200039Scopus ID: 2-s2.0-85048747635ISBN: 9789897582189 (print)OAI: oai:DiVA.org:kth-236842DiVA, id: diva2:1273709
Conference
6th International Conference on Operations Research and Enterprise Systems, ICORES 2017, 23 February 2017 through 25 February 2017
Note

QC 20181221

Available from: 2018-12-21 Created: 2018-12-21 Last updated: 2019-05-10Bibliographically approved

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Cebecauer, Matej

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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