Survey on EV Stations Management System Using AI Chatbot Support

D. R. Kamble, Swapnil J. Choudhari, Swapnil S. Dhage, Vrushabh M. Shah and Dnyaneshwar P. Survase

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 10, 78-81

Abstract: Automotive manufacturers like TATA have launched new electric automobiles on the market along with the construction of charging stations. However, the current charging duration varies from 15 to 30 minutes, which might cause delays when the stations are completely utilised. Our idea entails linking every electric car charging station into a single network to overcome these problems. Users can quickly find and choose their chosen station, which is especially useful for long-distance driving in electric cars and ultimately saves time. When slots are available, the system allows users to reserve them; otherwise, it prompts them to choose a new time.Online booking confirmation requires a portion of the cost. Our technology also shows the quickest path to the chosen station and gives charging stations a management interface to control open and reserved slots. Our Android-based solution makes use of time-slot allocation strategies and the Google Maps API to sense direction. Through our chatbot system, voice instructions may be used to operate the programme, and an online payment gateway speeds up transactions. By utilising our technology, consumers can find and reserve suitable charging stations quickly and with a significant time savings.

Keywords: Smart management; charging slot; EV Cars; Map; Chatbot. (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2361013
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