AI Enabled IoT for Electrification and Connected Transportation

This book presents an overview of artificial intelligence (AI) in the automotive section, especially in the modern era of green energy-based electrification of vehicles and smart transportation systems. The book also discusses different Internet of Things aspects involved in the automotive domain with AI. The book presents autonomous driving systems, advanced driver assistance systems (ADAS), autonomy, AI involvement, and machine learning techniques with challenges in electrification, prognostics, and diagnostics. AI and IoT are two emerging technologies, and their importance in other modern technology electrification on transportation, connected vehicle segment are discussed thoroughly in this book with different topologies. It also presents AI applications in the charging profile prediction, state of charge, state of health, battery lifetime, and battery temperature detection in dynamic conditions. Different algorithms are also given in the book to discuss the nearest point charging station for electric vehicle users. The book also discusses cybersecurity issues and challenges in the real-time environment for AI implementation, IoT in transportation, and autonomous driving. The other aspects of telematics, smart sensors for the implementation of the IoT, and AI are also discussed, especially in guidance and control aspects. The book will be useful for the researchers, practitioners, and industry people working in AI, IoT in the electrification and transportation segment.

Autorentext

Naveenkumar Marati is currently working with Wipro Limited, Bengaluru, India, as Architect for Electrification in EV COE. Earlier, he was working with Valeo India Private Limited, Chennai, India, as Senior Engineer, Power electronics (R&D). Before joining industry, he was associated with the Department of Electrical Engineering, Shiv Nadar University, Greater Noida, India, as a research scholar from 2013 to 2017. He obtained his M. Tech. from Rajiv Gandhi University of Knowledge Technologies (IIIT Nuzvid), Andhra Pradesh, in 2013. He obtained his B. Tech. from CVR College of Engineering, JNTU Hyderabad, in 2009. He has published several journal papers and few book chapters. He is an editorial board member of the Journal of Electrical and Electronic Engineering (JEEE). He is an active volunteer in IEEE, currently serving as Secretary PES/PELS/IAS joint chapter IEEE Hyderabad section for the year 2019 and 2020. His interest areas are power electronics, digital control of power electronics, electrification in automotive, HEV, EV, IoT in automotive, and charging stations.

Akash Kumar Bhoi [B.Tech., M.Tech., Ph.D.] is working as Principal Consultant at AB-Tech eResearch (ABTeR), India. He is also associated as Adjunct Faculty in the Department of Computer Science and Engineering at KIET Group of Institutions, India, and Adjunct Research Faculty at Sikkim Manipal University, India. He is appointed as the honorary title of "Adjunct Fellow" Institute for Sustainable Industries & Liveable Cities (ISILC), Victoria University, Melbourne, Australia, for the period from August to 2021 to July 31, 2022. He is also working as Research Associate at Wireless Networks (WN) Research Laboratory, Institute of Information Science and Technologies, National Research Council (ISTI-CRN) Pisa, Italy. He was the University Ph.D. Course Coordinator for "Research & Publication Ethics (RPE) at SMU." He is a member of IEEE, ISEIS, and IAENG, an associate member of IEI, UACEE, and an editorial board member reviewer of Indian and International journals. He is also a regular reviewer of reputed journals, namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience, etc. His research areas are biomedical technologies, the Internet of Things, computational intelligence, antenna, renewable energy. He has published several papers in national and international journals and conferences. He has 130+ documents registered in the Scopus database by the year 2021. He has also served on numerous organizing panels for international conferences and workshops. He is currently editing several books with Springer Nature, Elsevier, and Routledge & CRC Press. He is also serving as Guest editor for special issues of the journal like Springer Nature and Inderscience.

Victor Hugo C. de Albuquerque [M'17, SM'19] is Professor and Senior Researcher at the Department of Teleinformatics Engineering (DETI)/Graduate Program in Teleinformatics Engineering (PPGETI) at the Federal University of Ceará (UFC), Brazil. He earned a Ph.D. in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), a M.Sc. in Teleinformatics Engineering from the PPGETI/UFC (UFC, 2007). He completed a BSE in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He specializes in image data science, IoT, machine/deep learning, pattern recognition, automation and control, and robotics.

Akhtar Kalam has been at Victoria University, Melbourne since 1985 and is currently Head of Engineering and Chair of the Academic Board and lectures in the Masters by coursework program at Engineering Institute of Technology, Perth, Australia. Further, he has a distinguished professorship position at the University of New South Wales, Sydney, and 5 Malaysian universities. He received his B.Sc. and B.Sc. engineering from Calcutta University and Aligarh Muslim University, India. He completed his M.S. and Ph.D. at the University of Oklahoma, USA, and the University of Bath, UK. His areas of interest are power system analysis, communication, control, protection, renewable energy, smart grid, IEC61850 implementation, and cogeneration systems. He has conducted research, provided industrial consultancy, and published over ve hundred publications on his area of expertise and written over 29 books in the area.

Inhalt

Introduction.- Autonomous Driving System.- Smart Parking System and its Applications.- Advanced AI Algorithms for Battery Managements Systems.- Machine learning based algorithms for motor control / Prognostics and Diagnostics in EV Applications.