Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2433
Title: S3A: Smart Station Search Assistance for Electric Vehicle?A Step Toward Smart City
Authors: Goel S
Kumar R
Kumar A
Malhotra R.
Keywords: Charging stations
Batteries
Electric vehicles
Transportation
Optimization
Smart cities
Pollution
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: The transition of transportation sector from Internal Combustion Engines (ICE) to Electric Vehicles (EVs) has raised many concerns about their users which mainly include locating a suitable charging station for such vehicles. Presently, human intelligence-based methods are being used for the purpose. However, the development of Smart Station Search Assistance (S 3 A) system is an innovative step in this direction as it provides an optimal solution to locate a charging station as per user requirement subject to vehicle constraints. The use of optimization model in S 3 A for recommending an optimal charging station service has been justified. The main challenges which can affect the performance of the system have also been discussed.
URI: 10.1109/MCE.2020.2985656
http://hdl.handle.net/123456789/2433
Appears in Collections:Journals

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