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Paper ID:IJSREM63924

Design and Analysis of Battery Management Systems for Next-Generation Electric Vehicles: A Review

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63924

Volume:

10 |

5 |

May 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63924

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

MYK

Mr. Yadav Kose

Department of Electrical Engineering

Vidarbha Institute of Technology, Nagpur, Maharashtra, India.

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DNB

Dr. Nilesh Bodhane

Department of Electrical Engineering

Vidarbha Institute of Technology, Nagpur, Maharashtra, India.

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MMS

Mr. Manjeet Sakhare

Department of Electrical Engineering

Vidarbha Institute of Technology, Nagpur, Maharashtra, India.

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Mentors

DNB

Dr. Nilesh Bodhane

Department of Electrical Engineering

Vidarbha Institute of Technology, Nagpur, Maharashtra, India.

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Abstract

A key aspect of a battery management system is its ability to assess the overall health of the battery pack. By monitoring the internal resistance of each cell and tracking the capacity of the weakest cell, the BMS calculates a cell health percentage ranging from 0 to 100%. This data is then compared against preset thresholds, and if any cells (or the entire pack) fall below these thresholds, a trouble code is generated, and freeze frame data is stored for future analysis. The Battery Monitoring System is equipped with a wide range of features aimed at safeguarding the battery pack. These systems not only monitor and protect the battery but also employ strategies to ensure it remains ready to deliver full power when required and extend its lifespan.

KEYWORDS

Electric vehicles Battery management system Open Circuit Voltage (OCV) State of Charge (SOC) Simulation. etc.

Cite This Article

Mr. Yadav Kose, Dr. Nilesh Bodhane, Mr. Manjeet Sakhare, Dr. Nilesh Bodhane, "Design and Analysis of Battery Management Systems for Next-Generation Electric Vehicles: A Review," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-5, May 2026. https://doi.org/10.55041/IJSREM63924

Full Article/Conclusion

Electric vehicles and other systems utilizing rechargeable batteries necessitate a battery management system (BMS). The primary function of a BMS is to oversee, regulate, and optimize the charging and discharging processes of batteries, ensuring their longevity and safety. A well-engineered BMS can enhance the performance and reliability of the battery system, extend the battery's lifespan, and mitigate catastrophic failures such as fire or explosion. Thus, a BMS plays a critical role in the sustainable development of electric transportation and energy storage. The proposed approach offers a cost-effective solution for battery management by addressing heat issues, thereby improving battery efficiency. Moreover, the BMS is highly dependable and cost-efficient.

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.

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Publication Date

5/26/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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