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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> 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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> 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.
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