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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48723

Enhancing EV Charging Efficiency Through Regenerative Braking and Battery Management Systems

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48723

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48723

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

MR

Mahesh Raktate1

DAK

Dr. Alok Kumar2

DMN

Dr. Mangesh Nikose3

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Abstract

This paper presents the development of an advanced Battery Management System (BMS) for electric vehicles (EVs), designed to enhance battery performance, safety, and overall system efficiency. Utilizing the ESP32 microcontroller, the proposed BMS integrates regenerative braking technology to recover and convert kinetic energy during deceleration into usable electrical energy. Real-time monitoring is implemented through a network of sensors—including voltage, temperature, current, and flame sensors—to ensure precise power management and early hazard detection. The system incorporates a DC motor and inverter kit to facilitate efficient energy conversion and maximize the recovery of regenerative energy, thereby extending the driving range and improving energy utilization. This innovative approach not only supports sustainability by improving energy efficiency and battery lifespan but also addresses critical safety and reliability concerns in modern electric vehicle systems.

KEYWORDS

Electric Vehicle (EV) Battery Management System (BMS) Regenerative Braking ESP32 Microcontroller Real-Time Monitoring Energy Recovery Battery Safety Power Optimization Sensor Integration Sustainable Transportation

Cite This Article

Mahesh Raktate1, Dr. Alok Kumar2, Dr. Mangesh Nikose3, "Enhancing EV Charging Efficiency Through Regenerative Braking and Battery Management Systems," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48723

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Publication Date

5/25/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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