IoT-Enhanced Battery Management System: Real-Time Monitoring, Predictive Analytics and Safety Optimization
Objective
The main objective is to develop an IoT-based Battery Management System for real-time monitoring and control of battery parameters using sensors, cloud integration, and machine learning. It enhances safety, efficiency, and longevity while enabling predictive analytics to reduce maintenance costs and promote sustainable battery usage.
Abstract
This project presents an IoT-enhanced Battery Management System using Arduino Mega, NodeMCU, LCD display, current sensor, voltage sensor, DHT11, gas sensor, ultrasonic sensor, motor driver, DC motor, potentiometer, and LEDs. The system continuously monitors battery parameters such as voltage, current, temperature, gas emissions, and battery condition in real time. A Random Forest machine learning algorithm analyzes the collected data to predict battery health, performance degradation, and potential faults. The monitored data is uploaded to the ThingSpeak cloud platform through NodeMCU for remote monitoring and analysis. The proposed system provides a low-cost, intelligent, and efficient solution for battery safety, predictive maintenance, and energy management.
Keywords: Battery Management System, Arduino Mega, NodeMCU, Random Forest, ThingSpeak.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Specifications
Hardware components:
- Arduino Mega
- Current sensor
- Voltage Sensor
- Ultrasonic Sensor
- Buzzer
- Gas Sensor
- Motor Driver
- Dc Motor
- Nodemcu
- DHT11 Sensor
- Arduino Cable
- Potentiometer
- LED
- LCD
- Connectors-10.
Software requirements:
- Arduino IDE
- Embedded C
- Python IDLE
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino UNO / setup software
- Setting up and installation procedure for Arduino UNO
- Introduction to Arduino UNO environment / development setup Basic programming in Arduino UNO (Embedded C)
- Basics of Embedded programming using Arduino UNO
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
