Integrated IoT Platform with Web Interface for Wireless Health Monitoring and Battery Energy Management

Intelligent Battery Management System with Predictive Maintenance and PCM Cooling for Enhanced Energy Storage Reliability

Modern energy storage systems depend on Battery Management Systems (BMS) to be safe, effective and long-lasting. In order to improve battery performance and reliability, this paper integrate a Smart BMS with Phase Change Material (PCM) Cooling Technique and Predictive Maintenance. For real-time monitoring and control, the system uses a number of sensors, including temperature, voltage, current and flame sensors, which are connected to an Arduino Uno and an ESP32-based Internet of Things module. Sensor data is analyzed to anticipate any malfunctions, allowing for proactive maintenance and preventing unplanned downtime. By efficiently controlling battery temperature, PCM cooling method reduces thermal runaway and lengthens battery life. Real-time warnings and remote monitoring are made possible by IoT architecture through a web or mobile interface. Improved safety, operational effectiveness and battery lifespan are demonstrated by experimental evaluation, which makes this strategy a viable option for cutting-edge energy storage applications.

Design and Implementation of a Smart Battery Management System for Renewable Energy Storage Systems

The design and implementation of battery management system (BMS) is presented in this paper, this BMS is for solar photovoltaic applications. The layout employs a microcontroller-based monitoring unit, a lithium-ion battery, and a DC-DC converter to ensure the battery's safety and to maximize the energy available. The proposed BMS monitors key battery metrics such as voltage, current, temperature, state of charge (SOC), and state of health (SOH). To improve the efficiency of the solar panel, a perturb and observe (P&O) based MPPT method is used so that maximum power can be extracted under different conditions and the battery can be charged more effectively. The system performance was checked using both simulation and hardware setup. From the results, it can be observed that the DC link voltage remains nearly constant and the output voltage is properly maintained. Also, the state of charge (SOC) increases gradually as the battery charges. The hardware prototype further shows that the system works properly under real-time conditions. In addition, a GSM module is included for real-time monitoring and to send alerts whenever any abnormal condition occurs. Overall, this work shows that the system can be used as a low-cost and practical solution for battery management in solar applications.

A Low-Cost MQTT-Based IoT Framework for Real-Time Monitoring of Battery Energy Storage Systems

Smart EV Battery Monitoring System and Fire Prevention System

The rapid growth of electric vehicles (EVs) has increased the demand for intelligent battery management systems capable of ensuring operational safety, reliability, and extended battery life. Battery failures caused by overvoltage, undervoltage, overcurrent, overheating, and gas leakage can significantly degrade battery performance and may lead to hazardous incidents such as thermal runaway and fire. This paper presents a Smart EV Battery Monitoring and Fire Prevention System that continuously monitors critical battery parameters and provides real-time protection against abnormal operating conditions. The proposed system employs an ESP32 microcontroller integrated with voltage, current (ACS712), temperature, and MQ-2 gas sensors to acquire and process battery data. A Battery Management System (BMS) is incorporated to provide overcharge, over-discharge, and short-circuit protection, while a relay module disconnects the battery during critical conditions. The system also utilizes a cooling fan, buzzer, LCD display, and GPS module to enhance user safety through immediate alerts, thermal management, and location tracking. Experimental evaluation under normal operation and multiple fault scenarios—including over-temperature, over-voltage, under-voltage, and over-current conditions—demonstrated reliable fault detection, rapid response, and effective activation of protective mechanisms. The developed prototype successfully enhanced battery safety, minimized the risk of fire hazards, and improved system reliability through continuous real-time monitoring. Owing to its low cost, scalability, and IoT-enabled architecture, the proposed system is well suited for electric vehicles, e-bikes, battery energy storage systems, and other smart energy applications requiring continuous battery health monitoring and fire prevention.

Design and Implementation of a Smart Solar-Assisted IoT-Based Electric Vehicle Charging System

The increasing adoption of electric vehicles (EVs) necessitates the development of efficient, sustainable, and intelligent charging infrastructure. This paper presents a smart solar-assisted Internet of Things (IoT)-based EV charging system that integrates photovoltaic (PV) power generation, battery energy storage, intelligent energy management, and real-time cloud monitoring. The proposed system utilizes solar energy as the primary power source, while the utility grid serves as a backup during periods of insufficient solar generation. An ESP32-based microcontroller continuously monitors key charging parameters, including battery voltage, charging current, power, temperature, and battery status, and uploads the measured data to an IoT cloud platform for remote monitoring and analysis. The developed prototype was experimentally validated using a 60 V, 8 Ah electric scooter battery under both AC and DC charging modes. Experimental results demonstrate that the AC charger (60 V, 5 A) fully charges the battery from 55 V to 60 V in approximately 110 minutes, whereas the proposed DC fast charger (60 V, 15 A) completes the charging process in 60 minutes, resulting in a 45.5% reduction in charging time. The intelligent energy management system automatically prioritizes solar power, performs seamless source switching between solar, battery, and grid supplies, and ensures uninterrupted charging operation. The proposed system significantly improves charging efficiency, reduces dependence on the conventional power grid, enhances renewable energy utilization, and provides a cost-effective, scalable, and environmentally sustainable solution for residential, commercial, and institutional EV charging applications.

An Embedded System-Based Real-Time Renewable Energy Monitoring Framework

Renewable energy has become a key solution for addressing the increasing global demand for sustainable and environmentally friendly power generation. Effective monitoring of renewable energy systems is essential to ensure efficient operation, minimize energy losses, and improve system reliability. This paper presents an Embedded System-Based Renewable Energy Monitoring System designed for real-time acquisition, processing, and transmission of operational parameters from renewable energy sources such as solar photovoltaic (PV) panels and wind energy systems. The proposed system employs a microcontroller integrated with voltage, current, temperature, and environmental sensors to continuously monitor system performance. The collected data are processed locally and transmitted to a cloud-based monitoring platform through wireless communication technologies such as Wi-Fi or GSM, enabling remote supervision and data visualization. Threshold-based fault detection mechanisms generate alerts whenever abnormal operating conditions are identified, allowing timely maintenance and reducing system downtime. Experimental evaluation demonstrates that the proposed embedded monitoring system provides accurate sensor measurements, low power consumption, reliable wireless communication, and real-time performance monitoring. The system offers a cost-effective, scalable, and energy-efficient solution suitable for residential, industrial, and smart grid renewable energy applications, thereby enhancing operational efficiency and supporting sustainable energy management.