EV charging route through thingspeak application / Muhammad Ikhwan Kamal

This project aims to design and implement a sophisticated Arduino-based system to effectively locate available charging stations for electric vehicles (EVs). Central to this system is the integration of advanced sensors that can accurately identify the presence of EVs at charging stations. The user...

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Main Author: Kamal, Muhammad Ikhwan
Format: Student Project
Language:English
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/97823/1/97823.pdf
https://ir.uitm.edu.my/id/eprint/97823/
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spelling my.uitm.ir.978232024-10-13T18:07:40Z https://ir.uitm.edu.my/id/eprint/97823/ EV charging route through thingspeak application / Muhammad Ikhwan Kamal Kamal, Muhammad Ikhwan Wireless communication systems. Mobile communication systems. Access control Motor vehicles. Cycles This project aims to design and implement a sophisticated Arduino-based system to effectively locate available charging stations for electric vehicles (EVs). Central to this system is the integration of advanced sensors that can accurately identify the presence of EVs at charging stations. The user interface is enhanced through the strategic use of red and green LEDs, providing a clear visual indication of the occupancy status of charging stations. The red LEDs signify occupied stations, while the green LEDs denote available ones, simplifying decision-making for EV drivers. Complementing this visual cue is a prominent LCD display that furnishes detailed information about the status of each charging station. The display uses "YES" to indicate occupied stations and "NO" to convey availability, ensuring clarity and facilitating quick decision-making. An integral component of this system is the incorporation of a Wi-Fi module, allowing users to remotely access real-time information about the availability of charging stations through their mobile devices. This feature enhances user convenience, enabling them to plan and optimize their charging sessions efficiently. The experimental results showcase the system's proficiency in accurately identifying EVs and delivering precise information about charging station availability. Looking forward, the project envisions future developments to further enhance the system's capabilities. One potential avenue for improvement involves the integration of GPS technology to provide users with navigation assistance to the nearest available charging station, thereby streamlining the charging process and optimizing overall user satisfaction. These ongoing developments aim to contribute to the evolution of smart and user-friendly electric vehicle charging infrastructure, ultimately encouraging the widespread adoption of eco-friendly transportation choices. 2024 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/97823/1/97823.pdf EV charging route through thingspeak application / Muhammad Ikhwan Kamal. (2024) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Wireless communication systems. Mobile communication systems. Access control
Motor vehicles. Cycles
spellingShingle Wireless communication systems. Mobile communication systems. Access control
Motor vehicles. Cycles
Kamal, Muhammad Ikhwan
EV charging route through thingspeak application / Muhammad Ikhwan Kamal
description This project aims to design and implement a sophisticated Arduino-based system to effectively locate available charging stations for electric vehicles (EVs). Central to this system is the integration of advanced sensors that can accurately identify the presence of EVs at charging stations. The user interface is enhanced through the strategic use of red and green LEDs, providing a clear visual indication of the occupancy status of charging stations. The red LEDs signify occupied stations, while the green LEDs denote available ones, simplifying decision-making for EV drivers. Complementing this visual cue is a prominent LCD display that furnishes detailed information about the status of each charging station. The display uses "YES" to indicate occupied stations and "NO" to convey availability, ensuring clarity and facilitating quick decision-making. An integral component of this system is the incorporation of a Wi-Fi module, allowing users to remotely access real-time information about the availability of charging stations through their mobile devices. This feature enhances user convenience, enabling them to plan and optimize their charging sessions efficiently. The experimental results showcase the system's proficiency in accurately identifying EVs and delivering precise information about charging station availability. Looking forward, the project envisions future developments to further enhance the system's capabilities. One potential avenue for improvement involves the integration of GPS technology to provide users with navigation assistance to the nearest available charging station, thereby streamlining the charging process and optimizing overall user satisfaction. These ongoing developments aim to contribute to the evolution of smart and user-friendly electric vehicle charging infrastructure, ultimately encouraging the widespread adoption of eco-friendly transportation choices.
format Student Project
author Kamal, Muhammad Ikhwan
author_facet Kamal, Muhammad Ikhwan
author_sort Kamal, Muhammad Ikhwan
title EV charging route through thingspeak application / Muhammad Ikhwan Kamal
title_short EV charging route through thingspeak application / Muhammad Ikhwan Kamal
title_full EV charging route through thingspeak application / Muhammad Ikhwan Kamal
title_fullStr EV charging route through thingspeak application / Muhammad Ikhwan Kamal
title_full_unstemmed EV charging route through thingspeak application / Muhammad Ikhwan Kamal
title_sort ev charging route through thingspeak application / muhammad ikhwan kamal
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/97823/1/97823.pdf
https://ir.uitm.edu.my/id/eprint/97823/
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score 13.214268