Skip to content

About

Developed an embedded Automotive Battery Management System (BMS) with real-time ADC-based voltage and temperature monitoring, SOC estimation, passive cell balancing, fault detection, and CAN communication for enhanced EV battery safety and diagnostics.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Automotive Battery Management System (BMS) Using Embedded C

Overview

This project presents the design and implementation of an Automotive Battery Management System (BMS) for Electric Vehicle (EV) applications using Embedded C. The system performs real-time monitoring, protection, and diagnostics of lithium-ion battery packs to ensure battery safety, reliability, and performance.

The Battery Management System continuously monitors battery parameters such as voltage and temperature, estimates the State of Charge (SOC), performs passive cell balancing, detects fault conditions, and simulates CAN communication for automotive applications.


Objectives

  • To monitor individual battery cell voltages in real time
  • To monitor battery temperature for thermal protection
  • To implement over-voltage and under-voltage protection
  • To estimate battery State of Charge (SOC)
  • To perform passive cell balancing
  • To simulate automotive CAN communication
  • To improve battery safety and operational efficiency

Key Features

  • Real-time battery voltage monitoring
  • Temperature monitoring and thermal protection
  • Over-voltage protection
  • Under-voltage protection
  • Over-temperature protection
  • Passive cell balancing
  • SOC estimation
  • CAN communication simulation
  • Fault detection and diagnostics
  • Modular embedded software architecture

System Architecture

          +----------------------+
          |   Battery Pack       |
          +----------------------+
                    |
                    v
          +----------------------+
          | Voltage Sensors      |
          +----------------------+
                    |
                    v
          +----------------------+
          | ADC Interface        |
          +----------------------+
                    |
                    v
          +----------------------+
          | Microcontroller      |
          |  Embedded C Logic    |
          +----------------------+
           |        |        |
           |        |        |
           v        v        v
        SOC      Fault    Cell
      Estimation Detect  Balancing
                    |
                    v
          +----------------------+
          | CAN Communication    |
          +----------------------+

Working Principle

Battery Voltage Monitoring

The Battery Management System continuously measures the voltage of each lithium-ion cell using ADC channels. The measured values are compared against predefined safe operating limits.

Protection Conditions

Condition Action
Voltage > 4.2V Over-voltage fault generated
Voltage < 3.0V Under-voltage fault generated

Voltage monitoring helps prevent battery damage caused by overcharging or deep discharge.


Temperature Monitoring

Battery temperature is continuously monitored to ensure safe operation. Thermal protection is essential because excessive temperature can reduce battery life and create safety hazards.

Temperature Conditions

Temperature Range Status
Below 45°C Safe
45°C – 60°C Warning
Above 60°C Critical

If the temperature exceeds the maximum limit, the BMS generates an over-temperature fault condition.


Cell Balancing

In lithium-ion battery packs, cells may charge and discharge unevenly over time. Cell balancing equalizes cell voltages to improve battery life and performance.

This project uses passive cell balancing, where higher-voltage cells are discharged through balancing resistors until all cells reach similar voltage levels.

Balancing Condition

Balancing activates when the voltage difference between cells exceeds the balancing threshold.


State of Charge (SOC) Estimation

State of Charge (SOC) represents the remaining battery capacity in percentage form.

The BMS estimates SOC using average battery voltage measurements. SOC estimation helps determine the available battery energy and improves battery utilization.


Fault Detection

The system detects various abnormal battery conditions including:

  • Over-voltage
  • Under-voltage
  • Over-temperature
  • Voltage imbalance

When faults are detected, warning messages are generated for protection and diagnostics.


CAN Communication

The Battery Management System simulates CAN communication used in automotive networks. The BMS transmits important battery information such as:

  • Battery voltage
  • Current
  • Temperature
  • Fault status
  • SOC information

CAN communication enables interaction between the battery system and other vehicle control units.


Technologies Used

Technology Purpose
Embedded C Software development
GCC Compiler Code compilation
Visual Studio Code Development environment
ADC Simulation Sensor data acquisition
CAN Protocol Automotive communication

Software Requirements

  • Visual Studio Code
  • GCC Compiler / MinGW
  • C/C++ Extension
  • Code Runner Extension

Project Folder Structure

Automotive_BMS/
│
├── main.c
├── bms.c
├── bms.h
├── adc.c
├── adc.h
├── can.c
├── can.h
├── Makefile
└── README.md

Compilation and Execution

Compile the Project

gcc main.c bms.c adc.c can.c -o bms.exe

Run the Program

Windows

bms.exe

Linux / Mac

./bms

Sample Output

========== BMS START ==========

Cell 1 Voltage = 4.10 V
Cell 2 Voltage = 4.18 V
Cell 3 Voltage = 4.05 V
Cell 4 Voltage = 4.20 V

Temperature = 35.50 C

Balancing Activated
Discharging Cell 4

Battery SOC = 95.21 %

========== CAN DATA ==========
Voltage     : 16.53 V
Current     : 12.50 A
Temperature : 35.50 C
Fault       : 0
==============================

========== BMS END ==========

Hardware Components (Real Implementation)

  • STM32 / TI Microcontroller
  • Lithium-Ion Battery Cells
  • Voltage Divider Circuit
  • Temperature Sensor
  • CAN Transceiver
  • MOSFET Balancing Circuit
  • Current Sensor

Applications

  • Electric Vehicles (EV)
  • Hybrid Electric Vehicles (HEV)
  • Battery Energy Storage Systems
  • Solar Battery Systems
  • UPS Systems
  • Industrial Battery Monitoring

Future Enhancements

  • Real CAN bus hardware integration
  • Current sensing implementation
  • Coulomb counting SOC estimation
  • State of Health (SOH) estimation
  • FreeRTOS support
  • LCD/OLED display integration
  • Wireless BMS implementation
  • Cloud and IoT battery monitoring
  • AI-based battery analytics

Learning Outcomes

This project demonstrates practical understanding of:

  • Embedded C programming
  • Automotive embedded systems
  • Battery Management Systems (BMS)
  • ADC interfacing
  • CAN communication
  • Fault detection algorithms
  • Battery safety mechanisms
  • Embedded software architecture

Conclusion

The Automotive Battery Management System project successfully demonstrates the implementation of essential battery monitoring and protection functionalities required in modern Electric Vehicles. The system improves battery safety, enhances operational reliability, and provides a strong foundation for advanced automotive battery management applications.


Author

Ashish Yadav NIT Jamshedpur Project – Automotive Embedded Systems

About

Developed an embedded Automotive Battery Management System (BMS) with real-time ADC-based voltage and temperature monitoring, SOC estimation, passive cell balancing, fault detection, and CAN communication for enhanced EV battery safety and diagnostics.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages