Optimizing Electric Vehicle Charging with Charging Data Analytics

Tayyibah Khanam, M.S. Alam, Ivanshu Kaushik, Sanchari Deb, Yasser Rafat

Abstract:

Electric vehicles are considered as viable replacements to gasoline cars
since they help in reducing harmful emissions and stimulate power generation
through renewable energy sources, hence contributing to sustainability. However,
one of the significant obstacles in the mass deployment of electric vehicles is the
charging time anxiety among users and thus, the subsequent large waiting times for
available chargers at charging stations. Data analytics, on the other hand, has revo-
lutionized the decision-making tasks of management and operating systems since
its arrival. In this paper, we attempt to optimize the choice of EV charging stations
for users in their vicinity by minimizing the summation of time taken to reach the
charging stations and the waiting times for available chargers. The proposed frame-
work utilizes real-time data and historical data from all operating charging stations in
the city to assist the user in finding the best suitable charging station for their current
situation and can be implemented in a mobile phone application.