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

dc.contributor.authorTariq, Muhammad
dc.contributor.authorSamikannu, Ravi
dc.contributor.authorYahya, Abid
dc.contributor.authorETAL..
dc.date.accessioned2024-02-19T12:19:29Z
dc.date.available2024-02-19T12:19:29Z
dc.date.issued2023-10-05
dc.descriptionRenewable energy plays a vital role in the energy sector. The renewable energy sector has witnessed phenomenal growth in recent times. Despite the recent pandemic and looming uncertainties, the development of renewables remains strong, and the industry saw an increase of 15% from January 2020 to October 2020 as opposed to for the same period. Predominantly led by China and the United States, the renewable energy sector is set to grow by 4% globally to reach up to 200 GW. Among them, the solar power PV sector is estimated to jump by 30% in many countries.
dc.description.abstractGiven 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. Keywords: Renewable energy, Solar power, Annual growth, Solar power PV
dc.identifier.citationSamikannu, R., Yahya, A., Tariq, M. U., Asim, M., & Babar, M. (2023). IoT based battery energy monitoring and management for electric vehicles with improved converter efficiency. Plos one, 18(10), e0286573.
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0286573
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/1161
dc.language.isoen
dc.publisherPLoS ONE
dc.titleIoT based battery energy monitoring and management for electric vehicles with improved converter efficiency
dc.typeArticle

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