Next-Generation Online EV Charging Slot Management Framework
SHILPA A, Prof. K. Rajeswari
DEPARTMENT OF COMPUTER APPLICATION,
ADHIYAMAAN COLLEGE OF ENGINEERING,HOSUR
EMAIL ID:Shilpa.a.mca2023@adhiyamaan.in
Abstract
With the rapid adoption of Electric Vehicles (EVs), the need for an efficient and robust charging infrastructure has become essential to support the growing demand for E-Mobility services. However, the current EV charging stations face several challenges, including long waiting times, charging delays, uneven charge scheduling, and an unequal distribution of charging stations. These issues are particularly prevalent during peak hours, leading to increased queues and extended waiting times for EVs. To address these challenges, this project aims to design a comprehensive framework for an advanced online EV charging slot booking system. The proposed system leverages a stochastic queuing model to optimize the charging process at stations. By formulating an objective function that considers charging time, cost, queuing delay, and distance, the system aims to minimize these inefficiencies while maximizing the overall user experience. Additionally, the project introduces a cloud-based Charging Station Management platform that will network and manage multiple charging stations, facilitating real-time charging forecasts and efficient scheduling. This server-based approach will reduce waiting times, improve resource allocation, and help prevent EVs from running out of battery on the road. Ultimately, the proposed system aims to provide a cost-effective, scalable, and user-friendly solution for optimizing EV charging infrastructure.
KEYWORD:
The Next-Generation Online EV Charging Slot Management Framework integrates key technologies like real-time availability tracking, dynamic pricing, and predictive demand modeling to optimize the user experience and enhance station efficiency. With AI-driven optimization algorithms, it ensures efficient allocation of resources, balancing energy load across the grid and integrating renewable energy sources for greener charging options
