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  Published Paper Details:

  Paper Title

IOT BASED BATTERY PARAMETER MONITORING SYSTEM FOR ELECTRIC VEHICLE

  Authors

  Anjali Vekhande,  Ashish Maske

  Keywords

Electric vehicles, Sensors, Battery.

  Abstract


This proposed system describes the application of Internet-of-things (IoT) in monitoring the performance of an electric vehicle battery. Electric vehicle depends entirely on the energy source from the battery. However, the amount of energy supplied to the vehicle is decreasing gradually which leads to performance degradation. This is a major concern for battery manufacture. In our proposed system the idea of monitoring the performance of the vehicle using IoT techniques is proposed so that the monitoring can be done directly. Based on experimental results, the system is capable to detect degraded battery performance and sends notification messages to the user for further action. In this proposed system an indication of the battery�s voltage, current, and the remaining charge capacity is calculated in a real-time scenario. To monitor these battery parameters, we have developed a data acquisition system by building a PIC based system. Further, data are also displayed on an Android mobile device and are stored in a server database. We have developed a realistic model to create the final product for our proposed system.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007312

  Paper ID - 196945

  Page Number(s) - 3145-3151

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Anjali Vekhande,  Ashish Maske,   "IOT BASED BATTERY PARAMETER MONITORING SYSTEM FOR ELECTRIC VEHICLE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.3145-3151, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007312.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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