Authors : Yashoda D. S.; Janardhan L. K.

Volume/Issue : Volume 11 - 2026, Issue 1 - January

Google Scholar : https://tinyurl.com/y3etz5d5

Scribd : https://tinyurl.com/ytmkhauv

DOI : https://doi.org/10.38124/ijisrt/26jan009

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Abstract : The rapid growth of electric vehicles (EVs) and portable electronic devices has increased the demand for high- performance, energy-efficient, and sustainable battery technologies. Conventional lithium-ion batteries suffer from limitations such as long charging time, limited lifespan, thermal instability, and environmental concerns. This paper presents an AI-integrated graphene-based self-charging battery system designed for electric vehicles and electronic gadgets. Graphene, with its exceptional electrical conductivity, high surface area, and thermal stability, enhances battery charging speed, energy density, and lifespan. Artificial Intelligence (AI) is incorporated for smart energy management, predictive monitoring, and optimized charging–discharging cycles. The proposed system also integrates renewable energy harvesting mechanisms such as solar energy to enable self-charging capability. Hardware implementation using microcontrollers, sensors, and IoT modules demonstrates real-time monitoring, safety, and automation. Experimental results indicate improved efficiency, reduced charging dependency, and enhanced system reliability compared to conventional battery systems. The proposed model offers a promising solution for next-generation energy storage with applications in EVs, consumer electronics, and renewable energy systems.

Keywords : Graphene Battery, Self-Charging System, Artificial Intelligence, Electric Vehicles, Renewable Energy.

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