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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53243

Web-Based EV Charging Station Finder System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53243

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53243

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

D

Dr.M.Sengaliappan1

RSS2

Ragul S S 2

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Abstract

The worldwide shift towards electric vehicles (EVs) is gaining momentum, driven by environmental issues and the demand for sustainable transport. Nevertheless, a significant obstacle to the widespread use of EVs is the insufficient availability of reliable and easily accessible charging infrastructure. Current options, including generic mapping services and third-party apps, frequently fall short in terms of accuracy, real-time updates, and centralized management capabilities. To fill this void, this paper introduces a Web-Based EV Charging Station Finder System that allows users to effortlessly locate nearby charging stations. The system offers crucial information such as the station’s name, location, contact details, and charging costs. Administrators are equipped with backend tools to update, add, or remove charging stations, guaranteeing that users have consistent access to trustworthy information. Built with PHP and MySQL, the system is designed for scalability, efficiency, and user-friendliness. This solution not only improves user convenience but also supports the broader objective of promoting clean energy and environmentally friendly transportation.

KEYWORDS

EV Charging Web-based System PHP MySQL Sustainable Transportation

Cite This Article

Dr.M.Sengaliappan1, Ragul S S 2, "Web-Based EV Charging Station Finder System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025. https://doi.org/10.55041/IJSREM53243

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Publication Date

10/29/2025

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Double-Blind Peer Review

Review Rounds: 2

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3

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5

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The authors declare no conflict of interest related to this research work.

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