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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM58687

Adaptive Solar Tracking & Smart Energy Management System for E.V

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM58687

Volume:

10 |

3 |

Mar 2026

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

YK

Yash Kumar

KP

Khagendra Pandey

KS

Kapil Saini

YC

Yash Chaudhary

DA

Deepali Agarwal

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Abstract

The rise of electric vehicles (EVs) and a need to implement sustainable energy solutions into transport increasing the connection between renewable energy systems. This paper aims to design and implement of an adaptive dual – axis solar tracking system integrated with smart energy management system for EV applications. This system is aimed to increase the generation of solar energy by adjusting photovoltaic panels dynamic towards the sun’s direction during daytime. Microcontroller based control mechanism using light dependent resistance (LDR) is applied for real-time tracking using DC motors and servo motors. This energy is stored in a lithium-ion battery and intelligently managed through the charging module. Furthermore, a real-time monitoring and safety system is included for reliability and fault detection. This showed a significantly higher energy efficiency than traditional solar panels. This solution is cost effective and environmental friendly as the dependency on conventional charging infrastructure is decreasing

KEYWORDS

Electric Vehicles Solar Tracking System Internet of Things (IoT) ESP32 Microcontroller Renewable Energy Smart Energy Management

Cite This Article

Yash Kumar, Khagendra Pandey, Kapil Saini, Yash Chaudhary, Deepali Agarwal, "Adaptive Solar Tracking & Smart Energy Management System for E.V," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

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Publication Date

6/2/2026

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Double-Blind Peer Review

Review Rounds: 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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