Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Samikannu, Ravi, Yahya, Abid, Tariq, Muhammad Usman, Asim, Muhammad, Babar, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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
_version_ 1785116118019473408
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
work_keys_str_mv AT samikannuravi iotbasedbatteryenergymonitoringandmanagementforelectricvehicleswithimprovedconverterefficiency
AT yahyaabid iotbasedbatteryenergymonitoringandmanagementforelectricvehicleswithimprovedconverterefficiency
AT tariqmuhammadusman iotbasedbatteryenergymonitoringandmanagementforelectricvehicleswithimprovedconverterefficiency
AT asimmuhammad iotbasedbatteryenergymonitoringandmanagementforelectricvehicleswithimprovedconverterefficiency
AT babarmuhammad iotbasedbatteryenergymonitoringandmanagementforelectricvehicleswithimprovedconverterefficiency