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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Battery Management System

Authors: Dr. M. S. Mathpati; Suyog Shrikant Kshirsagar; Rupesh Aanaso Salgare; Balaji Maruti Dhere;

Battery Management System

Abstract

The growing demand for electric vehicles has made battery safety, reliability, and performance monitoring a critical area of research. This paper presents the design and development of EV-BMS-X1, an intelligent battery management system that integrates embedded protection mechanisms with IoT-based real-time monitoring. The system is built using an ESP32 microcontroller and incorporates multiple sensors to continuously track key battery parameters such as voltage, current, temperature, and environmental conditions. Unlike conventional systems, the proposed solution introduces an adaptive web-based interface that allows users to monitor data and modify system parameters wirelessly without firmware reprogramming. To ensure measurement stability in noisy environments, filtering and smoothing techniques are applied to sensor data. Additionally, the system estimates battery usage through cycle counting and energy throughput analysis, providing insights into battery health. Experimental validation demonstrates that the system responds effectively to abnormal conditions such as over-voltage, over-current, and thermal hazards. The proposed design offers a practical, scalable, and user-friendly solution for next-generation electric vehicle battery management systems.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average