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Review of ChargeEase: A cloud-based solution for charging and management of Electric Vehicles in Pakistan
Muhammad Waqas
Abstract:
With the rapid adoption of electric vehicles in Pakistan, there is a rise in issues faced by owners of electric vehicles, which include searching for the nearest charging station, remotely booking a slot at a charging station, making payments for charging sessions through a local payment gateway and trip planning for long drives on electric vehicles. To address these issues, I have developed and implemented a web-based application that allows users to find the nearest charging station according to their location using Open Street Maps API, see reviews of charging stations left by other users, remotely book a charging slot at a station with a simulated local gateway of payment and leave a review of the charging station after a charging session. The application solves the queuing problem at the charging station by showing the charging slots' status to all users in real-time. The application also allows users to chat with other users of this application. The greedy algorithm is implemented to plan optimized long drive trips according to available battery percentage, mileage and speed of the electric vehicle. The application is managed by an admin panel with its functions including adding and removing stations, moderating user reviews and viewing user booking history. The frontend of the application is made in HTML, CSS and JavaScript for the web, while for a mobile web application is wrapped in Flutter [1] using WebView. The backend of the application is powered by Firebase [2]. With the development of this application, I propose a prototype solution with some functionality limitations for charging and management of electric vehicles in Pakistan and aim to show it as proof-of-concept.
Keywords:
Charging & Management ,of electric vehicle, cloud architecture
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