Design and Analysis of Battery Management System for Electric Vehicles

Abstract

The capacity of a system for battery management (BMS) to evaluate the general condition of the battery pack is one of its most important features. The BMS monitors the capacity of the weakest cell and the internal resistance of each cell. Based on these variables, it calculates a cell healthiness percent that ranges from 0% to 100%. A fault code is created and freeze frame data is kept for later examination if any cells or the entire pack fall below the predetermined criteria when this health data is assessed against them. Numerous functions on the BMS are designed to protect the battery pack. These systems use techniques to make sure the battery lasts longer and is ready to give full power when needed, in addition to continuously monitoring and safeguarding it. The BMS extends the life of the battery pack and improves its performance by carefully controlling cycles of charging and discharging, balancing cell voltages, and guarding against situations that could harm the battery. This guarantees dependable operation and maximum efficiency.Top of Form

Introduction

The increasing demand for electric vehicles (EVs) due to environmental concerns and fossil fuel depletion has highlighted the importance of efficient Battery Management Systems (BMS). A BMS ensures the safe, reliable, and efficient operation of EV battery packs by monitoring and controlling important parameters such as voltage, current, temperature, and state of charge (SoC). This project presents an Arduino-based BMS with IoT integration for real-time battery monitoring, improved performance, and extended battery life.

The proposed system uses sensors to collect battery data, which is processed by a microcontroller and transmitted to a cloud server through wireless communication. The cloud platform analyzes battery conditions and provides real-time information to users, helping in battery health monitoring, range prediction, and efficient EV operation.

Problem Identification:
Lithium-ion batteries require proper charging and discharging control. Overcharging can cause overheating, swelling, or failure, while deep discharge can reduce battery life. Traditional battery systems also face challenges in cell balancing, temperature monitoring, and accurate state estimation.

BMS Architecture and Operation:
The BMS architecture consists of sensors, monitoring units, control systems, and user interfaces. It continuously checks battery conditions and maintains operation within safe limits. The system protects batteries by disconnecting loads during low voltage conditions, stopping charging during overvoltage conditions, and maintaining balanced voltage among cells.

Cell Balancing Techniques:
Two main balancing methods are discussed:

1. Passive Cell Balancing:
   • Uses resistors to remove excess energy from high-voltage cells.
   • Simple, low-cost, and widely used but wastes energy as heat.
2. Active Cell Balancing:
   • Transfers energy from high-voltage cells to low-voltage cells using capacitors or converters.
   • More efficient but requires complex circuits and higher cost.

Design Approach:
The proposed BMS uses passive balancing with bleed resistors and follows the Constant Current Constant Voltage (CCCV) charging method for lithium-ion batteries. The system monitors voltage, current, and temperature to prevent battery damage and improve safety.

Simulation and Results:
MATLAB/Simulink simulations were performed for single-cell and four-cell battery balancing systems. Results showed that:

• Cell voltage remained within safe limits.
• Passive balancing successfully controlled overcharging.
• CCCV charging improved battery charging efficiency.
• The BMS maintained stable battery operation and improved reliability.

Conclusion

A system for managing batteries is required for electric cars and other systems that use rechargeable batteries (BMS). To ensure the longevity and safety of batteries, a BMS\'s main job is to supervise, control, and optimise the charging and discharge procedures. A well-designed BMS can prolong the battery\'s life, improve performance and dependability, and reduce the risk of catastrophic failures like fire or explosion. Therefore, a BMS is essential to the long-term growth of energy storage and electric vehicles. By addressing heat-related problems, the suggested method improves battery efficiency and provides a financially viable alternative for battery management. The BMS is also very economical and dependable. The foundation for figuring out the battery\'s charging and discharging properties is the MATLAB/Simulink technique used in this project. It makes it easier to browse through requirements, generated software, tests, and projects. It also makes it easier to annotate diagrams with relevant needs. The algorithm also helps with building drag-and-drop links and researching requirements and traceability. It is essential for identifying modifications to associated tests, diagrams, and specifications. In compliance with the standards, it also computes the performance or verification status. In order to accurately represent the electrical system, Simulink and the simulation technique are needed.

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Copyright

Copyright © 2026 Mr. Yadav Kose, Dr. Nilesh Bodhane, Prof. Manjeet Sakhare. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.