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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM16895
Volume:
6 |
11 |
Nov 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electric vehicles (EVs) have the potential to increase energy efficiency in transportation, reduce greenhouse gas emission, and relieve reliance on fossil fuels. Basic infrastructure, such as electricity and services necessary for the charging infrastructure, are not available everywhere along a highway. Long charging times can potentially cause significant delays, not only because of the charging process itself, but also because of the potential waiting times resulting from busy charging stations (CS). For overcoming this problem we develop a mobile android application was developed with the facility to provide a list of positions of CSs in geographical manner nearest to the EV’s position. Even though the application provides an estimation of driving range and a list of available CSs, it is not smart enough to find the realtime status (i.e. slot availability, price) of the CSs to reserve a slot. It would then select the most appropriate one based on offered prices, but other input parameters could be also taken into account, e.g. waiting times, estimated charging duration and alike. The results show that the time saved for waiting and automated the process of payment and searching of the charging stations.
KEYWORDS
Publication Date
11/19/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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