Paper Title: ADAPTABLE LITHIUM CELL BATTERY MANAGEMENT SYSTEM

Author's name: Muthuram G, Lijo John J, Manisha R ,Sajin S ,Mohammed Riyaz K

The advent of sophisticated battery technologies necessitates advanced management systems to ensure safety, efficiency, and longevity. This project introduces an innovative Smart Battery Management System (BMS), designed to optimize the performance and extend the lifespan of modern battery cells. Through a meticulous integration of real-time monitoring, predictive analytics, and adaptive control algorithms, the proposed BMS not only safeguards against common battery failures but also enhances the overall energy throughput. Employing a combination of voltage, current, and temperature sensors, alongside a robust microcontroller unit, the system meticulously governs the charging and discharging cycles, ensuring uniform cell usage and preventing overcharge scenarios.The project’s novelty lies in its self-learning capability, which adapts to various battery types and usage patterns, promoting a greener footprint by maximizing battery reuse and reducing waste. The results demonstrate a significant improvement in battery health metrics, including state of charge (SoC) and state of health (SoH), validating the BMS as a pivotal tool in the realm of renewable energy solutions.This project not only contributes to the academic field but also holds significant promise for commercial applications, offering a scalable solution to the growing demands of renewable energy systems. As we advance towards an increasingly electrified future, the insights and methodologies from this project will serve as a cornerstone for the next generation of smart energy solutions, ensuring reliability, safety, and environmental harmony.

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