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
Abstract :
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
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