Grishma Nitin Sathe, Pramod Devakate, Shailesh Bhure, Shashikala A. Koti | International Journal of Power Electronics Controllers and Converters | Vol 10, Issue 01 | ISSN: 2456-1614
Abstract
The "IoT-Based Battery Management System" project represents an innovative solution to address the growing demand for efficient and intelligent battery monitoring and management across various applications. In order to achieve maximum efficiency from a multi-cell Li-ion battery, every cell inside the battery must be "matched." Most battery safety and qualification standards demand that a battery be built entirely of compatible cells. Still, not much work is done to ensure that all of the cells remain matched over the battery's lifespan. Regular use and calendar aging (the battery is only stored) both contribute to the mismatching of the battery's cells. A continuous or intermittent external short of even a single cell in a multi-cell battery can also result in cell mismatch. Internal shorts, uneven cell heating, and defective chargers are other issues that might cause one or more cells to overcharge. With the proliferation of battery-dependent technologies in fields like renewable energy, electric vehicles, and industrial systems, ensuring the safety, longevity, and reliability of batteries has become paramount.
Keywords:Battery Management, monitoring System, ESP8266, Lithium-ion battery, BMS.
Keywords
monitoring System, Battery Management, Lithium-ion battery, ESP8266, BMS
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How to cite this article
@article{SatheGN2024,
author = {Grishma Nitin Sathe and Pramod Devakate and Shailesh Bhure and Shashikala A. Koti},
title = {Optimization Techniques for Battery Health Monitoring and Management},
journal = {International Journal of Power Electronics Controllers and Converters},
year = {2024},
volume = {10},
number = {01},
issn = {2456-1614},
url = {https://journalspub.com/publication/ijpecc/article=10122}
}