International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 1 (January-February 2025) Submit your research before last 3 days of February to publish your research paper in the issue of January-February.

Intelligent Battery Management Systems

Author(s) Syed Omair Hussain, Hira Khan, Mohammed Zeeshan Hameed
Country India
Abstract The increasing adoption of electric vehicles (EVs) has spurred the need for efficient and reliable battery management systems (BMS). This project aims to develop an intelligent BMS for electric vehicles provided by Tata Motors. The BMS integrates advanced technologies such as machine learning, IoT, and real-time data analytics to monitor battery health, optimize charging/discharging cycles, and extend battery lifespan. By implementing predictive maintenance and adaptive control algorithms, the proposed system improves vehicle performance, reduces downtime, and enhances user safety. This project demonstrates a significant step towards sustainable and smarter electric mobility solutions.
Keywords Battery Management, Predictive Maintenance, Energy Efficiency, Real-Time Monitoring, Smart Charging
Field Computer Applications
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-12
Cite This Intelligent Battery Management Systems - Syed Omair Hussain, Hira Khan, Mohammed Zeeshan Hameed - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.35145
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.35145
Short DOI https://doi.org/g82grw

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