Intelligent Solar Tracker Vehicle for Supply Channel of Electric Vehicle Need Using Image Processing and Mobile Network


Authors : Smitha.S.M; Goutham S Tantri; Manjunatha.M. J; Vardhan.Ch; Gagan.G. L; Vijay kumar G Naik

Volume/Issue : Volume 5 - 2020, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2ZZtMtP

DOI : 10.38124/IJISRT20JUN1126

Harnessing the renewable energy sources in efficient way is the present day need when the nonrenewable sources are depleting in alarming rate. Many available renewable sources are hardly harnessed due to high conversion cost and sophisticated technical need. Solar is one of the reliable renewable resource and it is environment friendly and easy to convert into other forms i.e. heat and electric. The electricity generation in solar is based on silicon technology and its production and implementation is of low cost. And embedding the pros of other related technology can increase the productivity which can be used to recharge a battery pack in less duration. In the present era of electric vehicle implementation need for stored electrical energy reserve is increasing but its supply chain is not developed efficiently. To replace the petroleum-based vehicles completely the electric battery supply system should be implemented in large and efficient quantity with low investments. The main issue is of recharging the battery which is economically infeasible with domestic power supply system. In present digitalized world these resources are expected to be a mobile service and automated system. In this paper we mainly propose an effective solution for these problems with the use of image processing and robotics technologies. In the paper the solution is validated implementing a prototype of the proposed system and presenting its performance analysis.

Keywords : Solar Tracker-Bot, Solar Vehicle, MobileBattery Systems,Raspberry Pi Robot,Image Processing In Vehicle,Electric Vehicle Supply,Solar Charging

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