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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61141

Design and Analysis of Battery Management System for Electric Vehicles

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61141

Volume:

10 |

4 |

April 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM61141

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

YAM

Yamini Ashok Manghate

Department of Electrical Engineering,

Guru Nanak Institute of Engineering and Technology, Nagpur, India

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PR

Priyanka Rajput

Department of Electrical Engineering,

Guru Nanak Institute of Engineering and Technology, Nagpur, India

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RB

Rajendra Bhombe

Department of Electrical Engineering,

Guru Nanak Institute of Engineering and Technology, Nagpur, India

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SB

Saurab Bagde

Department of Electrical Engineering,

Guru Nanak Institute of Engineering and Technology, Nagpur, India

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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.

KEYWORDS

Keywords— State on charge (SOC) simulation electric vehicles batteries management systems and open circuit value (OCV).

Cite This Article

Yamini Ashok Manghate, Priyanka Rajput, Rajendra Bhombe, Saurab Bagde, "Design and Analysis of Battery Management System for Electric Vehicles," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-7, April 2026. https://doi.org/10.55041/IJSREM61141

Full Article/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.

References

[1] J. Chen, H. Wang, H. Yin, Y. Luo, and H. Zhang, "A real-time monitoring system for lithium-ion battery based on Arduino platform," 2017 IEEE 3rd International Conference on Energy Engineering and Information Management (EEIM), 2017, pp. 105-108. [2] M. Z. Rahman and A. I. Al-Odienat, "Real-time monitoring system for electric vehicle battery management using Internet of Things (IoT)," 2019 IEEE 5th International Conference on Control, Automation and Robotics (ICCAR), 2019, pp. 853-858. [3] Raza and M. H. Zafar, "Design and development of an intelligent battery management system for electric vehicles using Arduino," 2019 2nd International Conference on Electrical, Communication, Electronics, Instrumentation and Computing (ICECEIC), 2019, pp. 1-6. [4] R. Kumar and S. K. Sharma, "IoT based real-time monitoring system for electric vehicle battery management using Arduino," 2020 2nd International Conference on Inventive Research in Computing Applications (ICIRCA), 2020, pp. 1035-1041. [5] K. Balan, V. Subramaniyaswamy, and M. Muthukumar, "Design and implementation of electric vehicle battery monitoring and management system using Arduino," 2019 IEEE International Conference on Innovative Research and Development (ICIRD), 2019, pp. 1-5. [6] N. I. Badruddin, N. J. Nawawi, M. Y. Yusof, M. A. H. Aziz, and A. Ahmad, "Design of battery monitoring system for electric vehicle using Arduino Uno," 2017 IEEE Conference on Energy Conversion (CENCON), 2017, pp. 260-263. [7] S. O. Hjelle, P. Romano, and L. Solheim, "Real-time monitoring and control system for electric vehicle battery packs," 2018 IEEE International Conference on Industrial Technology (ICIT), 2018, pp. 1271-1276. [8] K. E. H. Lai, K. C. Ng, W. T. Chan, C. H. T. Lee, and J. D. D. Eng, "Real-time monitoring system for electric vehicle battery management using Internet of Things (IoT) and machine learning techniques," 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020, pp. 1-6. [9] R. Suresh Kumar, S. Elango, M. Vijayan and, and S. A. Vijay, "Development of battery management system for electric vehicle using Arduino," 2018 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2018, pp. 1-6. [10] J. Wang, L. Hu, and Z. Li, "Research on real-time monitoring system of electric vehicle lithium-ion battery based on Internet of Things," 2019 2nd IEEE International Conference on Renewable Energy and Power Engineering (REPE), 2019, pp. 127-131

Editorial & Review Transparency

Publication Date

4/26/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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