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Optimizing Electric Vehicle Performance Through 5G and Cloud Computing Integration for Enhanced Energy Conservation
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Author(s): G. Tulasichandra Sekhar (Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, India), V. Devaraj (Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India), A. V. Ravikumar (Department of Electronics and Communication Engineering, SJB Institute of Technology, India), H. S. G. Supreeth (Department of Electronics and Communication Engineering, SJB Institute of Technology, India), Bandi Rambabu (Department of Computer Science and Engineering, CVR College of Engineering, Mangalpalle, India)and Sampath Boopathi (Department of Mechanical Engineering, Muthayammal Engineering College, Namakkal, India)
Copyright: 2025
Pages: 22
Source title:
Integrating Artificial Intelligence Into the Energy Sector
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-7112-1.ch018
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Abstract
The integration of 5G and cloud computing with electric vehicles has transformative potential to improve the energy efficiency and performance of electric vehicles. This chapter emphasizes integrating high-speed connectivity from 5G and vast computational power from cloud computing to take advantage of optimizing EV systems - focusing on real-time data analysis, predictive maintenance, and dynamic energy management. 5G enables seamless communication between EVs, infrastructure, and cloud platforms, ensuring efficient route planning, battery management, and energy conservation. By leveraging cloud computing, EVs can access advanced analytics and machine learning algorithms for optimizing energy usage, extending battery life, and enhancing overall performance. These technologies converge to present the world with smarter, more sustainable options regarding electric mobility, contributing to energy conservation and reduced carbon emissions.
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