DYNAMIC ENERGY MANAGEMENT OF EV CHARGING STATIONS USING IOT AND OPTIMIZATION TECHNIQUES

Abstract

The rapid adoption of electric vehicles has increased the demand for efficient and reliable charging infrastructure. Uncoordinated charging leads to high energy consumption, increased operational costs, and peak load stress on power grids. This paper proposes an energy-efficient optimization framework for electric vehicle charging infrastructure using Internet of Things (IoT) technologies. The framework integrates real-time data acquisition, intelligent scheduling, and adaptive control to optimize charging operations. IoT-enabled communication allows continuous monitoring of charging stations and vehicles. Optimization algorithms reduce energy consumption and charging cost. Peak load demand is minimized through coordinated charging. Experimental evaluation demonstrates significant improvements in efficiency. The proposed approach enhances grid stability and sustainability. Results confirm its suitability for smart city applications. Overall, the framework supports scalable and energy-efficient EV charging systems.