TY - JOUR
T1 - IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency
AU - Samikannu, Ravi
AU - Yahya, Abid
AU - Tariq, Muhammad Usman
AU - Asim, Muhammad
AU - Babar, Muhammad
N1 - Publisher Copyright:
© 2023 Samikannu et al.
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85174211261
UR - https://www.scopus.com/inward/citedby.url?scp=85174211261&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0286573
DO - 10.1371/journal.pone.0286573
M3 - Article
C2 - 37796857
AN - SCOPUS:85174211261
SN - 1932-6203
VL - 18
JO - PLoS One
JF - PLoS One
IS - 10 October
M1 - e0286573
ER -