Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{180299,
        author = {JEBASTIN.A and S.Chitra Nayagam},
        title = {Online-Ev Charging Station Slot Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {636-641},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180299},
        abstract = {An effective and reliable charging 
infrastructure is now necessary to meet the increasing 
demand for E- Mobility services due to the quick 
uptake of electric vehicles (EVs). Long wait times, 
charging delays, irregular charge scheduling, and an 
uneven distribution of charging stations are some of 
the issues that the current EV charging stations must 
deal with. During peak hours, these problems are 
especially common, which results in longer wait times 
for EVs and larger lines. The goal of this project is to 
create a thorough framework for a cutting-edge online 
EV charging slot booking system in order to address 
these issues. To maximize the charging experience at 
stations, the suggested system makes use of a 
stochastic queuing model. The system seeks to reduce 
these inefficiencies while optimizing the user 
experience by developing an objective function that 
takes into account charging time, cost, queuing delay, 
and distance. The project also presents a cloud-based 
platform for charging station management, which will 
network and oversee several charging stations, 
enabling effective scheduling and real-time charging 
forecasts. Wait times will be shortened, resources will 
be better allocated, and EVs won't run out of battery 
while driving thanks to this server-based method. The 
ultimate goal of the suggested system is to optimize EV 
charging infrastructure in a way that is affordable, 
scalable, and easy to use.},
        keywords = {EV Charging, Slot Booking, Charging  Station Management, Geolocation Filtering, OTP based Payment, Charging Progress Tracking, Flask  Framework, MySQL Database, Sustainable Mobility,  Smart Infrastructure, Real- Time Scheduling,  Haversine Formula},
        month = {June},
        }