Battery Monitoring and Management System

Overview

This repository contains Arduino code for a comprehensive Battery Monitoring and Management System (BMS). The system is designed to monitor multiple battery cells, calculate State of Charge (SoC) and State of Health (SoH), and perform data logging and remote data transmission.

Features

• SoC Calculation: Measures and calculates the State of Charge of battery cells.
• SoH Calculation: Determines the State of Health based on the remaining capacity.
• Data Logging: Records parameters on an SD card.
• Remote Data Transmission: Sends data to a ThingSpeak channel for remote monitoring.
• Cell Balancing: Actively balances the cells to maintain uniform charge levels.
• Coulomb Counting: Essential for accurate SoH monitoring.

Hardware Requirements

• Any Arduino compatible mucrocontroller
• SD card module for data logging
• Wi-Fi module for remote data transmission
• Voltage measurement setup for battery cells
• Digital pins for cell balancing control

Dependencies

• Custom Scheduler Library: Download from GitHub
• ThingSpeak library
• WiFi library for ESP8266/ESP32
• SPI and SD libraries for SD card operations
• math.h for mathematical functions

Installation

1. Ensure all required libraries are installed in the Arduino IDE.
2. Connect the hardware as per the schematic (not provided in this README).
3. Configure the Wi-Fi credentials and ThingSpeak API details in the code.
4. Upload the code to your microcontroller.

Configuration

• Update the network_name and network_password variables with your Wi-Fi credentials.
• Set the channel_id and API_Key for your ThingSpeak channel.
• Adjust V1, V2, V3, etc., pins according to your setup.
• Modify capacity, Time, and other constants as per your battery specifications.

Usage

• The setup() function initializes the Wi-Fi connection, SD card, and sets up the pins.
• The loop() function manages the task scheduling for continuous monitoring and balancing of cells.
• Data is logged on the SD card and sent to ThingSpeak for remote monitoring.

Contributing

Contributions to improve this project are welcome. Feel free to fork this repository and submit pull requests with your enhancements.

Disclaimer

This code is provided "as is" and without any warranty. The author is not responsible for any damage caused by the use of this code.