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IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency

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  • Ravi Samikannu
  • Abid Yahya
  • Muhammad Usman Tariq
  • Muhammad Asim
  • Muhammad Babar

Abstract

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.

Suggested Citation

  • Ravi Samikannu & Abid Yahya & Muhammad Usman Tariq & Muhammad Asim & Muhammad Babar, 2023. "IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-19, October.
    • Handle: RePEc:plo:pone00:0286573
    DOI: 10.1371/journal.pone.0286573
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    References listed on IDEAS

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    1. Zheng, Fangdan & Xing, Yinjiao & Jiang, Jiuchun & Sun, Bingxiang & Kim, Jonghoon & Pecht, Michael, 2016. "Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries," Applied Energy, Elsevier, vol. 183(C), pages 513-525.
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