Scipediacontent: Scipediacontent moved page Draft Content 207261531 to Leemput et al 2014a

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Scipediacontent moved page Draft Content 207261531 to Leemput et al 2014a

Scipediacontent: Created page with " == Abstract == The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited ad..."

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Created page with " == Abstract == The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited ad..."

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== Abstract ==

The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited adoption of EVs. In order to reduce the general inconvenience that EV users experience when having to wait for available fast charging stations and to lessen the danger of damaging the infra- structure by overloading it, an efficient coordination strategy is needed. This paper proposes an anticipatory, decentralised coordination strategy for on-route charging of EVs during lengthy trips in a fast-charging infra- structure. This strategy is compared to a reference strategy that uses global real-time knowledge of charging station occupation. Simulation results using a realistic scenario with real-world traffic data demonstrate that the anticipatory strategy is able to reduce the waiting times for EV users by up to 50% while at the same time decreasing the peak loads of the electricity grid caused by charging EVs by 21%. The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited adoption of EVs. In order to reduce the general inconvenience that EV users experience when having to wait for available fast charging stations and to lessen the danger of damaging the infra- structure by overloading it, an efficient coordination strategy is needed. This paper proposes an anticipatory, decentralised coordination strategy for on-route charging of EVs during lengthy trips in a fast-charging infra- structure. This strategy is compared to a reference strategy that uses global real-time knowledge of charging station occupation. Simulation results using a realistic scenario with real-world traffic data demonstrate that the anticipatory strategy is able to reduce the waiting times for EV users by up to 50% while at the same time decreasing the peak loads of the electricity grid caused by charging EVs by 21%. ispartof: pages:74-85 ispartof: Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection vol:8473 pages:74-85 ispartof: PAAMS'14 location:Salamanca (Spain) date:4 Jun - 6 Jun 2014 status: published

== Original document ==

The different versions of the original document can be found in:

* [https://lirias.kuleuven.be/handle/123456789/446978 https://lirias.kuleuven.be/handle/123456789/446978]

* [http://link.springer.com/content/pdf/10.1007/978-3-319-07551-8_7 http://link.springer.com/content/pdf/10.1007/978-3-319-07551-8_7],
: [http://dx.doi.org/10.1007/978-3-319-07551-8_7 http://dx.doi.org/10.1007/978-3-319-07551-8_7]

* [https://link.springer.com/chapter/10.1007%2F978-3-319-07551-8_7 https://link.springer.com/chapter/10.1007%2F978-3-319-07551-8_7],
: [http://core.ac.uk/display/34598044 http://core.ac.uk/display/34598044],
: [https://doi.org/10.1007/978-3-319-07551-8_7 https://doi.org/10.1007/978-3-319-07551-8_7],
: [http://doi.org/10.1007/978-3-319-07551-8_7 http://doi.org/10.1007/978-3-319-07551-8_7],
: [https://dblp.uni-trier.de/db/conf/paams/paams2014.html#ConinxCVLHD14 https://dblp.uni-trier.de/db/conf/paams/paams2014.html#ConinxCVLHD14],
: [https://lirias.kuleuven.be/bitstream/123456789/446978/1/paper.pdf https://lirias.kuleuven.be/bitstream/123456789/446978/1/paper.pdf],
: [https://rd.springer.com/chapter/10.1007%2F978-3-319-07551-8_7 https://rd.springer.com/chapter/10.1007%2F978-3-319-07551-8_7],
: [https://academic.microsoft.com/#/detail/66444513 https://academic.microsoft.com/#/detail/66444513]

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Leemput et al 2014a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 207261531 to Leemput et al 2014a

Scipediacontent: Created page with " == Abstract == The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited ad..."