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IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency
Given the recent trends in the MPPT converters in PV systems, which have been researched extensively to improve design, modified closed-loop converter technology based on SoC is presented here. This paper aims to provide detailed information on the modern-day solar Maximum Power Point Tracking (MPPT...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553220/ https://www.ncbi.nlm.nih.gov/pubmed/37796857 http://dx.doi.org/10.1371/journal.pone.0286573 |
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author | Samikannu, Ravi Yahya, Abid Tariq, Muhammad Usman Asim, Muhammad Babar, Muhammad |
author_facet | Samikannu, Ravi Yahya, Abid Tariq, Muhammad Usman Asim, Muhammad Babar, Muhammad |
author_sort | Samikannu, Ravi |
collection | PubMed |
description | Given the recent trends in the MPPT converters in PV systems, which have been researched extensively to improve design, modified closed-loop converter technology based on SoC is presented here. This paper aims to provide detailed information on the modern-day solar Maximum Power Point Tracking (MPPT) controller and Battery Management System (BMS). Most MPPT controller examination researched in the past is suitable only for fixed-rated battery capacity, which limits the converter capability and applications. The proposed paper uses the distributed energy management control technique to dispatch multi-battery charging based on the State of Charge (SoC). The converter construction is modified here as per the prerequisite of the model. The system hardware is developed and tested using Atmega2560 low power RISC based high-performance microcontroller. The batteries’ SoC level and State of Health (SoH) are calculated using embedded sensors and communication platforms through the IoT platform and Global System Monitoring (GSM) technology. The GSM and IoT technology ensure that the different batteries are monitored periodically, and any irregularities are immediately addressed through the distributed energy management control technique. This ensures a safe, reliable, and effective charging of multiple batteries with increased accuracy, thereby maximizing battery life and reducing operational costs. |
format | Online Article Text |
id | pubmed-10553220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105532202023-10-06 IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency Samikannu, Ravi Yahya, Abid Tariq, Muhammad Usman Asim, Muhammad Babar, Muhammad PLoS One Research Article Given the recent trends in the MPPT converters in PV systems, which have been researched extensively to improve design, modified closed-loop converter technology based on SoC is presented here. This paper aims to provide detailed information on the modern-day solar Maximum Power Point Tracking (MPPT) controller and Battery Management System (BMS). Most MPPT controller examination researched in the past is suitable only for fixed-rated battery capacity, which limits the converter capability and applications. The proposed paper uses the distributed energy management control technique to dispatch multi-battery charging based on the State of Charge (SoC). The converter construction is modified here as per the prerequisite of the model. The system hardware is developed and tested using Atmega2560 low power RISC based high-performance microcontroller. The batteries’ SoC level and State of Health (SoH) are calculated using embedded sensors and communication platforms through the IoT platform and Global System Monitoring (GSM) technology. The GSM and IoT technology ensure that the different batteries are monitored periodically, and any irregularities are immediately addressed through the distributed energy management control technique. This ensures a safe, reliable, and effective charging of multiple batteries with increased accuracy, thereby maximizing battery life and reducing operational costs. Public Library of Science 2023-10-05 /pmc/articles/PMC10553220/ /pubmed/37796857 http://dx.doi.org/10.1371/journal.pone.0286573 Text en © 2023 Samikannu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Samikannu, Ravi Yahya, Abid Tariq, Muhammad Usman Asim, Muhammad Babar, Muhammad IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency |
title | IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency |
title_full | IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency |
title_fullStr | IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency |
title_full_unstemmed | IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency |
title_short | IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency |
title_sort | iot based battery energy monitoring and management for electric vehicles with improved converter efficiency |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553220/ https://www.ncbi.nlm.nih.gov/pubmed/37796857 http://dx.doi.org/10.1371/journal.pone.0286573 |
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