SS01: Applications of Artificial Intelligence and Machine Learning in Electric Vehicles

 

Organizers:

1.   Dr. Sreejith.S

Department of Electrical Engineering

National Institute of Technology Silchar (NITS)

Assam - 788010

Email: sreejith@ee.nits.ac.in, sreejithsme@gmail.com

 

2.   Dr. Sri Ramalakshmi P

School of Electrical Engineering

Vellore Institute of Technology, Chennai

Email: sriramalakshmi.p@vit.ac.in

 

Technical Outline of the Session: The Electric Vehicles (EV) is one of the most reliable and prominent solution to reduce the carbon foot-footprints. Therefore, the transportation sector is moving to the electric mobility paradigm, entailing a set of important questions about sustainability, namely about the required electricity for driving an electric vehicle, efficient topologies of power converters, green and efficient EV charging techniques, pumping back power to grid, and consequences related with recycling materials and the EV end-of-life. Use of Artificial Intelligence and Machine learning for the proper design and automation of Electric is another important development in EV sector. AI plays a major role in developing successful intelligent systems and provides cost-effective solutions to the complex real-life problems. Powerful digital technologies are driving demand for autonomous transport solutions, and they are disrupting existing approaches to car building. These smart and connected vehicles powered by soft computing represent a considerable challenge and opportunity for automakers. Developing future vehicles comes with a great increase in complexity, so the right tools and technology will be needed.

Topics of Session: The original contributions, from different perspectives, including Ph.D. students,  PG & UG Students, Academicians, researchers, and professional communities are invited under ( but not limited to) the following topics: