Scipediacontent: Scipediacontent moved page Draft Content 252864041 to Kiouach et al 2019a

2021-02-12T13:32:36Z

Scipediacontent moved page Draft Content 252864041 to Kiouach et al 2019a

Scipediacontent: Created page with " == Abstract == Today, smart cities are turning to electric transport, carpooling and zero emission zones. The growing number of electric vehicles on the roads makes it incre..."

2021-02-12T13:32:34Z

Created page with " == Abstract == Today, smart cities are turning to electric transport, carpooling and zero emission zones. The growing number of electric vehicles on the roads makes it incre..."

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== Abstract ==

Today, smart cities are turning to electric transport, carpooling and zero emission zones. The growing number of electric vehicles on the roads makes it increasingly necessary to have a public charging infrastructure. On the other hand, the main limitations of electric vehicles are the limited range of their batteries and their relatively long charging times. To avoid having problems to recharge, electric vehicle drivers must plan their journeys more thoroughly than others. At the goal of optimizing trip time, drivers need to automate their travel plans based on a smart charging solution, which will require the development of new Vehicle-to-Grid applications that will allow at the charging stations to dynamically interact with the vehicles. In this paper, we propose an architecture based on an algorithm allowing the management of charging plans for electric vehicles traveling on the road to their destination, in order to minimize the duration of the drivers&rsquo

journey including waiting and charging times. The decision taken by the algorithm based on the exploration of the data of each public supply station according to its location, number of vehicles in the queue, number of charging sockets, and rates of service.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_252864041-beopen360-4776-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/wevj10040067 http://dx.doi.org/10.3390/wevj10040067] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/2032-6653/10/4/67/pdf https://www.mdpi.com/2032-6653/10/4/67/pdf] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2032-6653/10/4/67 https://www.mdpi.com/2032-6653/10/4/67],
: [https://doaj.org/toc/2032-6653 https://doaj.org/toc/2032-6653] under the license cc-by

* [https://www.mdpi.com/2032-6653/10/4/67/pdf https://www.mdpi.com/2032-6653/10/4/67/pdf],
: [http://dx.doi.org/10.3390/wevj10040067 http://dx.doi.org/10.3390/wevj10040067]

* [https://www.mdpi.com/2032-6653/10/4/67/pdf https://www.mdpi.com/2032-6653/10/4/67/pdf],
: [https://www.mdpi.com/2032-6653/10/4/67/htm https://www.mdpi.com/2032-6653/10/4/67/htm],
: [https://academic.microsoft.com/#/detail/2981903637 https://academic.microsoft.com/#/detail/2981903637] under the license https://creativecommons.org/licenses/by/4.0/

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Kiouach et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 252864041 to Kiouach et al 2019a

Scipediacontent: Created page with " == Abstract == Today, smart cities are turning to electric transport, carpooling and zero emission zones. The growing number of electric vehicles on the roads makes it incre..."