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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM12965

SOLAR AND WIND ENERGY BASED SMART ELECTRIC VEHICLE CHARGING STATION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM12965

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RB

Riddhi Bedmutha

SS

Suchita Shewale

PB

Pranali Bhosale

JR

Jitendra Rane

KA

Kunal Ahire

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Abstract

Recently, Electric Vehicles are attracting significant attention as an environmental friendly, sustainable and economical substitute for vehicles with a conventional engine. It addresses the concerns associated with petroleum fuels, global climate change, and pollution control. In this paper, the design and development of a Photovoltaic (PV) and grid fed Hybrid charging station for electric vehicles is discussed, and the new control strategy is proposed for energy management under different operating conditions. The proposed control ensures the system working in an integrated manner to optimize the energy use from the grid. The system shares power between PV and grid, and directly charge the EV when solar energy is available using Maximum Power Point Tracking (MPPT) and automatically changes modes of operation when solar energy is not available. Reverse power feeding provision is also adapted for the futuristic smart-E-gridconcept where EV shares the grid load. The proposed control strategy can be easily adapted to even for the conventional EV charging stations.

KEYWORDS

Auto change over unit Battery MPPT Solar

Cite This Article

Riddhi Bedmutha, Suchita Shewale, Pranali Bhosale, Jitendra Rane, Kunal Ahire, "SOLAR AND WIND ENERGY BASED SMART ELECTRIC VEHICLE CHARGING STATION," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

5/22/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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