Journal of Deep Learning, Computer Vision and Digital Image Processing
Volume 4 Issue 2 June 2026

Performance Evaluation and Comparative Analysis of Small Solar Panels for IoT Battery Charging Using ESP32 Microcontroller Platform

Saddam Husein Siregar (Pusat Penelitian Kelapa Sawit)
IzuKhairi Misrawi Rohali (Universitas Sumatera Utara)
Mohamad Rifa Algifari Mulia Sembiring (Universitas Sumatera Utara)
Sumaryanto (Pusat Penelitian Kelapa Sawit)
Ratu Mutiara Siregar (Institut Teknologi Sawit Indonesia)



Article Info

Publish Date
08 Jul 2026

Abstract

Purpose – Small photovoltaic panels are widely used to support low-cost Internet of Things (IoT) sensor nodes; however, many locally available panels provide only nominal voltage labels without complete electrical specifications. This study evaluates the charging performance of three small solar panel configurations for a single 18650 lithium-ion battery used in an IoT-based monitoring node.Methods – The experimental system used Lolin D32 boards based on ESP32, TP4056 charging modules, and identical battery connections. Node 1 used a large 9 V solar panel connected to a DC-DC step-down module calibrated to 5 V before entering the TP4056 input. Node 2 used a medium 6 V panel, while Node 3 used a mini solar panel directly connected to the charging module. Battery voltage was recorded every five minutes, converted into apparent state of charge (SoC), and uploaded to Google Sheets. The main field test was conducted from 10:00 to 15:00 on 8 June 2026.Findings – Node 1 produced the highest apparent charging performance, with a charging rate of 12.8 percentage points per hour and a total SoC increase of 63.8 percentage points. In contrast, Node 2 and Node 3 each achieved only 0.5 percentage points per hour during the same test period. Research implications – The findings indicate that nominal voltage alone is insufficient for selecting solar panels for IoT battery charging. Panel area, current capability, charger compatibility, firmware measurement sequence, and direct field validation must be considered.Originality – This study provides practical field-based evidence for selecting small photovoltaic panels in low-cost IoT battery charging applications.

Copyrights © 2026






Journal Info

Abbrev

DECODING

Publisher

Subject

Computer Science & IT

Description

The Journal of Deep Learning, Computer Vision and Digital Image Processing (DECODING), covers all topics of artificial intelligence and soft computing and their applications, including but not limited to: • Neural networks • Reasoning and evolution • Intelligent search • Intelligent planning ...