Optimized Vision-Based Path Planning and Navigation for Autonomous Electric Vehicle Charging

P. Thilagavathi, S. Karthikeyan, G. Murali Dharan, E. Saran Kumar, S. Vijay, K. Selva Kumar

2025

Abstract

A wireless power transfer for Electric Vehicle (EVs) is a type of charging technique that eliminates the need for a physical electrical connection. This design utilizes electromagnetic induction to transfer electrical current between a charger and the automobile. Aim: The aim of wireless chargers is to protect automobiles from power loss caused by frequent pairings and disconnects, while also improving the power quality of delivering electrical energy to power vehicles. Materials and Methods: This research consists of two groups Group 1 In the transmitter part the main input source is the AC supply, the High frequency oscillation switching circuit is operating the switching frequency in the converter part. Group 2 The receiver section includes a voltage sensor to sense the input voltage, a temperature sensor to monitor the battery temperature, and an AI-based web application to monitor the sensor parameters, battery charging level, and operation mode. Result: The result of this study is a hardware prototype, ESP32 cam monitoring, LCD display output, and control of the wireless charging system. Conclusion: The WCS effectively eliminates power loss and improves the power quality for EV battery charging.

Paper Citation

in Harvard Style

Thilagavathi P., Karthikeyan S., Dharan G., Kumar E., Vijay S. and Kumar K. (2025). Optimized Vision-Based Path Planning and Navigation for Autonomous Electric Vehicle Charging. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 193-203. DOI: 10.5220/0013894000004919

in Bibtex Style

@conference{icrdicct`2525,
author={P. Thilagavathi and S. Karthikeyan and G. Dharan and E. Kumar and S. Vijay and K. Kumar},
title={Optimized Vision-Based Path Planning and Navigation for Autonomous Electric Vehicle Charging},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={193-203},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013894000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Optimized Vision-Based Path Planning and Navigation for Autonomous Electric Vehicle Charging
SN - 978-989-758-777-1
AU - Thilagavathi P.
AU - Karthikeyan S.
AU - Dharan G.
AU - Kumar E.
AU - Vijay S.
AU - Kumar K.
PY - 2025
SP - 193
EP - 203
DO - 10.5220/0013894000004919
PB - SciTePress