Real-Time Mobile Monitoring of an IoT-Based MPPT Solar Charger Using Arduino UNO R4 WiFi and WebSocket Communication

This paper presents the design and experimental validation of a low-cost, IoT-based Maximum Power Point Tracking (MPPT) solar charger featuring real-time mobile monitoring. The system integrates a Perturb and Observe (P&O) algorithm implemented on a 32-bit RA4M1 microcontroller with a 14-bit ADC, ensuring fast and accurate power tracking. A Wi-Fi-based WebSocket interface transmits system data—including voltage, current, power, and charging status—to a mobile application in real time. The MPPT charger was tested under two scenarios: a regulated DC power supply and a high-power photovoltaic (PV) panel under low-irradiance indoor conditions. The proposed system demonstrated a tracking efficiency exceeding 97%, while the mobile interface proved reliable and responsive. The key contribution of this work lies in its lightweight, reproducible architecture that combines high-precision analog sensing with real-time wireless feedback—making it suitable for educational, prototyping, and smart energy applications.

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Publication Details

Published
2025-09-24
DOI
https://doi.org/10.1109/redec65313.2025.11190000
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Real-Time Mobile Monitoring of an IoT-Based MPPT Solar Charger Using Arduino UNO R4 WiFi and WebSocket Communication

Jean Sawma, Flavia Khatounian, Nizar Daou
IoT-based Smart Home Systems
article

Real-Time Mobile Monitoring of an IoT-Based MPPT Solar Charger Using Arduino UNO R4 WiFi and WebSocket Communication

Jean Sawma, Flavia Khatounian, Nizar Daou
article en

Abstract

This paper presents the design and experimental validation of a low-cost, IoT-based Maximum Power Point Tracking (MPPT) solar charger featuring real-time mobile monitoring. The system integrates a Perturb and Observe (P&O) algorithm implemented on a 32-bit RA4M1 microcontroller with a 14-bit ADC, ensuring fast and accurate power tracking. A Wi-Fi-based WebSocket interface transmits system data—including voltage, current, power, and charging status—to a mobile application in real time. The MPPT charger was tested under two scenarios: a regulated DC power supply and a high-power photovoltaic (PV) panel under low-irradiance indoor conditions. The proposed system demonstrated a tracking efficiency exceeding 97%, while the mobile interface proved reliable and responsive. The key contribution of this work lies in its lightweight, reproducible architecture that combines high-precision analog sensing with real-time wireless feedback—making it suitable for educational, prototyping, and smart energy applications.

Saint Joseph University (LB)
Openalex Percentile: Top 71%
IoT-based Smart Home Systems
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