AI-driven Horizons: Electric Vehicles, Cloud Computing, and the Future of Automation

Authors

  • Ashley Donald, Andrew Brian Department of Computer Science, Arizona State University Author

Keywords:

Electric Vehicles, Cloud Computing, Artificial Intelligence, Automation, Connectivity, Data Analytics, Machine Learning, Autonomous Vehicles, Sustainable Mobility.

Abstract

The convergence of electric vehicles (EVs), cloud computing, and artificial intelligence (AI) heralds a new era of innovation and automation in the automotive industry. This paper explores the synergies between EVs, cloud computing infrastructure, and AI-driven automation, examining their collective impact on vehicle design, operation, and connectivity. By leveraging cloud-based data analytics, machine learning algorithms, and autonomous capabilities, EVs can achieve enhanced performance, energy efficiency, and user experience. Furthermore, the integration of AIdriven automation enables dynamic charging optimization, predictive maintenance, and intelligent fleet management. This paper elucidates the transformative potential of AI-driven solutions in reshaping the future of transportation, driving towards sustainable mobility, and unlocking new horizons in automation and connectivity. 

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Published

2023-02-23

How to Cite

AI-driven Horizons: Electric Vehicles, Cloud Computing, and the Future of Automation . (2023). International Journal of Advanced Engineering Technologies and Innovations, 1(02), 100-115. https://ijaeti.com/index.php/Journal/article/view/180

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