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  Published Paper Details:

  Paper Title

AI AND IOT BASED ELECTRICAL E-VECHICLE MONITERING SYSTEM

  Authors

  K. SenthilKumar,  M. Aravindkumar,  S. D. Gokula Krishnan,  P. Murugan,  M. Soundararajan

  Keywords

Artificial Intelligence (AI) and Internet of Things (IoT)

  Abstract


In India transportation is a booming field where the count of e-vehicles increasing day by day.Security and maintenance of those e-vehicles is a risky one. Monitoring e-vehicle parameters and battery health level is an ideal to know without making any physical touch of the e-vehicle.IoT based e-vehicle parameter monitoring system is a capable one which leads to monitor our e-vehicle's parameters through an IOT. In this technology world, technology is increasing by giving solutions to many problems. By using this technology, a solution for decreasing air pollution is implemented. The main cause of increasing air pollution is using various kinds of vehicles that run on combustion engines for transportation utilities. The implementation of Electric Vehicle (EVs) can resolve this air pollution problem and keeps the environment as pollution-free air and the world can survive in pure air. EVs are like machines that run on a charging battery. An EV's condition is depending on the battery's performance. The parameters for the battery's condition the voltage, current, and temperature. By using these parameters State of Charge (SOC) is determined. These performances are monitored as Battery Management System (BMS). In this paper, the EV monitoring system is implemented using the combination of Artificial Intelligence (AI) and Internet of Things (IoT) interfacing by the sensors in the vehicle's battery, and to the cloud. The performance of the battery is monitored using the mobile application of the cloud.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305361

  Paper ID - 236702

  Page Number(s) - c740-c744

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  K. SenthilKumar,  M. Aravindkumar,  S. D. Gokula Krishnan,  P. Murugan,  M. Soundararajan,   "AI AND IOT BASED ELECTRICAL E-VECHICLE MONITERING SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.c740-c744, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305361.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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