SMART EV CHARGER WITH SECURE IOT-BAED MONITORING AND HYBRID SOLAR GRID NETWORK INTEGRATION FOR DISTRIBUTED NODE APPLICATIONS

The demand for dependable, intelligent, and efficient charging infrastructure has increased due to the quick uptake of electric vehicles (EVs).Grid overloading, low energy efficiency, lack of real-time monitoring, and low use of renewable energy sources are some of the drawbacks of conventional grid-dependent charging systems.To address these issues, this study suggests a Smart EV Charger system that combines a hybrid solar-grid energy source with safe Internet of Things-based monitoring, especially for dispersed node applications.The system architecture creates a flexible and robust hybrid energy source by integrating solar photovoltaic (PV) modules with the current electrical grid.Real-time monitoring of critical metrics including voltage, current, state of charge (SOC), temperature, solar irradiation, and grid status is made possible by a secure Internet of Things architecture that consists of sensors, microcontrollers, and cloud-based data gathering.With an emphasis on real-time data visualization and a comparison between traditional grid-only systems and the hybrid IoT-enabled approach, the suggested technique is put into practice and evaluated using MATLAB Simulation Software.The creation of a hybrid solar-grid EV charging model, the application of intelligent energy switching logic, safe real-time monitoring via the Internet of Things, and improved charging dynamics visualization are some of the research's main accomplishments.The system is well-suited for decentralized and scalable EV charging applications, as evidenced by simulation results showing enhanced operational performance, higher energy usage, and more intelligent load control.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-05-07
DOI
https://doi.org/10.56726/irjmets73523
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

SMART EV CHARGER WITH SECURE IOT-BAED MONITORING AND HYBRID SOLAR GRID NETWORK INTEGRATION FOR DISTRIBUTED NODE APPLICATIONS

International Research Journal of Modernization in Engineering Technology and Science
IoT-based Smart Home Systems
article

SMART EV CHARGER WITH SECURE IOT-BAED MONITORING AND HYBRID SOLAR GRID NETWORK INTEGRATION FOR DISTRIBUTED NODE APPLICATIONS

article en

Abstract

The demand for dependable, intelligent, and efficient charging infrastructure has increased due to the quick uptake of electric vehicles (EVs).Grid overloading, low energy efficiency, lack of real-time monitoring, and low use of renewable energy sources are some of the drawbacks of conventional grid-dependent charging systems.To address these issues, this study suggests a Smart EV Charger system that combines a hybrid solar-grid energy source with safe Internet of Things-based monitoring, especially for dispersed node applications.The system architecture creates a flexible and robust hybrid energy source by integrating solar photovoltaic (PV) modules with the current electrical grid.Real-time monitoring of critical metrics including voltage, current, state of charge (SOC), temperature, solar irradiation, and grid status is made possible by a secure Internet of Things architecture that consists of sensors, microcontrollers, and cloud-based data gathering.With an emphasis on real-time data visualization and a comparison between traditional grid-only systems and the hybrid IoT-enabled approach, the suggested technique is put into practice and evaluated using MATLAB Simulation Software.The creation of a hybrid solar-grid EV charging model, the application of intelligent energy switching logic, safe real-time monitoring via the Internet of Things, and improved charging dynamics visualization are some of the research's main accomplishments.The system is well-suited for decentralized and scalable EV charging applications, as evidenced by simulation results showing enhanced operational performance, higher energy usage, and more intelligent load control.

International Research Journal of Modernization in Engineering Technology and Science
Affordable and clean energy
Openalex Percentile: Top 92%
IoT-based Smart Home Systems
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