
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 1
January-February 2025
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Intelligent Battery Management Systems
Author(s) | Syed Omair Hussain, Hira Khan, Mohammed Zeeshan Hameed |
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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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E-ISSN 2582-2160

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IJFMR DOI prefix is
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