IoT Based Battery Management System for Electric Vehicle

This paper demonstrates an IoT based Battery Management System (BMS) designed for hybrid charging applications, combining solar and AC power sources to boost energy optimization and consistency. It also monitors the various parameters of battery like Charging status, Battery Health. The system harnesses solar energy through photovoltaic (PV) panels during daylight hours and switches to an AC/DC converter for charging during periods of insufficient sunlight. Key features include intelligent power source selection, efficient energy conversion, and advanced battery monitoring to ensure optimal charging and longevity. The BMS employs real-time data analytics and adaptive algorithms to manage the charging and discharging cycles, maintaining battery health, and maximizes energy utilization. This dual-source approach not only reduces dependence on the grid but also supports sustainable energy practices, making it ideal for residential, commercial, and industrial applications. Experimental results demonstrate the system’s effectiveness in maintaining consistent battery performance and extending operational life under varying environmental conditions.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/akgec62572.2024.10868732
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
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article

IoT Based Battery Management System for Electric Vehicle

Sanjiv Kumar, Yogesh Yadav, Nidhi Tandon, Ashutosh Yadav et al.
1 citations
Advanced Battery Technologies Research
0.20
article

IoT Based Battery Management System for Electric Vehicle

Sanjiv Kumar, Yogesh Yadav, Nidhi Tandon, Ashutosh Yadav, Akash Akash, Kaushal Mathuria
article en
1 citations

Abstract

This paper demonstrates an IoT based Battery Management System (BMS) designed for hybrid charging applications, combining solar and AC power sources to boost energy optimization and consistency. It also monitors the various parameters of battery like Charging status, Battery Health. The system harnesses solar energy through photovoltaic (PV) panels during daylight hours and switches to an AC/DC converter for charging during periods of insufficient sunlight. Key features include intelligent power source selection, efficient energy conversion, and advanced battery monitoring to ensure optimal charging and longevity. The BMS employs real-time data analytics and adaptive algorithms to manage the charging and discharging cycles, maintaining battery health, and maximizes energy utilization. This dual-source approach not only reduces dependence on the grid but also supports sustainable energy practices, making it ideal for residential, commercial, and industrial applications. Experimental results demonstrate the system’s effectiveness in maintaining consistent battery performance and extending operational life under varying environmental conditions.

Harcourt Butler Technical University (IN)
Affordable and clean energy
Openalex Percentile: Top 46%
Advanced Battery Technologies Research
0.20
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IoT Based Battery Management System for Electric Vehicle — Sanjiv Kumar, Yogesh Yadav, et al. · (2024) | TGRS Research Map | TGRS