ChargePulse: A Real-Time EV Charging Station Discovery and Management System

Abstract: In the rapidly evolving electric vehicle (EV) ecosystem, the accessibility and reliability of charging infrastructure remain critical barriers to widespread adoption. However, the absence of a centralized, real-time tracking system leads to range anxiety, fragmented station data, and inefficient trip planning for drivers. This paper presents ChargePulse, a comprehensive digital platform designed to locate, book, and manage EV charging stations through a unified network. The system integrates EV users, station administrators, and energy providers into a seamless ecosystem using a robust full-stack architecture built with Next.js and MongoDB. Secure user authentication is implemented for profile and booking management, while an integrated AI-driven assistant provides dynamic cost estimations and intelligent station recommendations based on real-time data. Experimental evaluation demonstrates improved booking efficiency, reduced driver wait times, and enhanced accuracy for live station availability. The proposed system bridges the gap between fragmented EV infrastructure and user needs, offering a scalable solution aligned with modern sustainable transportation requirements.

Keywords: EV Charging Station Network, Full-Stack Architecture, AI-Driven Assistant, Real-Time Availability Tracking, Sustainable Transportation System