5G OPPORTUNITIES AND IMPACT OF ELECTRIC VEHICLE PERFORMANCE WITH ARTIFICIAL INTELLIGENCE TOWARDS THE SMART CITIES

Authors

  • E.B. Priyanka 1* Kongu Engineering College Author
  • Thangavel 2 Kongu Engineering College Author
  • K. Martin Sagayam 3 Karunya University image/svg+xml Author

Keywords:

Future road-map, Electric Vehicle, Artificial Intelligence, IoT

Abstract

This research aims to evolve the National Clean Air Program (NCAP) Operational Strategy, as announced by the Government of India in 2017; the wide-ranging epidemiological synecdoche is to resolve the air contamination concern at a 20% to 30% target of reduction in 2024. According to public authority guidelines, it is compulsory to convert approximately 25% of existing vehicles into electric vehicles by 2024. In the car area, vehicle planning and maintainability are focused on using Electric Vehicle innovation with zero discharge and the minimization of carbon. Electric Vehicles are more eco-accommodating along their lifecycle than traditional petroleum derivative vehicles, particularly on the off chance that they are powered with clean power. Further, current advancements like AI (Artificial Intelligence) and IoT have likewise improved the plan and development of Electric Vehicle manufacturing and battery charging innovation. The fundamental goal of computer-based intelligence is to provide closed-loop enhancement of electric vehicles in the areas of quick charging conventions for batteries, output control, monitoring, and preservation of force with an inspired way to a superior sustainable environment. The proposed work enumerates in detail the features of electric vehicles with the influence on 5G-IoT (Internet of Things) and comprehends advancement strategies of AI and ML to improve the highlights of EV in frequency band analysis with SNR and downlink power utilization.

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Published

11-12-2025

How to Cite

5G OPPORTUNITIES AND IMPACT OF ELECTRIC VEHICLE PERFORMANCE WITH ARTIFICIAL INTELLIGENCE TOWARDS THE SMART CITIES. (2025). Journal of Smart Algorithms and Applications (JSAA), 1(1), 17-27. https://pub.scientificirg.com/index.php/JSAA/article/view/11

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