Abstract

The automotive industry is witnessing a transformative shift towards electric vehicles (EVs) driven by the need for sustainable transportation solutions. This paper explores the integration of Internet of Things (IOT) and Artificial Intelligence (AI) technologies in electric vehicles, aiming to enhance their performance, efficiency, and user experience. Through a comprehensive review of existing literature and case studies, this paper elucidates the role of IOT and AI in various aspects of electric vehicle technology, including battery management, predictive maintenance, autonomous driving, and smart charging infrastructure. The convergence of Internet of Things (IoT) and Artificial Intelligence (AI) technologies in Electric Vehicles (EVs) is reshaping the landscape of transportation systems. This research paper investigates the intricate interplay between IoT and AI within the EV ecosystem, exploring their combined potential to revolutionize efficiency, safety, and sustainability. Through a comprehensive review of literature, case studies, and industry developments, this paper examines how IoT sensors enable real-time data collection from EVs and infrastructure, facilitating AI-driven analytics for optimizing energy consumption, predicting maintenance requirements, and enhancing user experience. Moreover, it discusses the challenges and opportunities associated with the widespread adoption of IOT and AI solutions in the electric vehicle ecosystem. By analysing current trends and advancements, this paper provides insights into the prospects and potential impacts of IOT and AI in electrifying the road.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.