Smart Electric and Hybrid Vehicles

Design, Modeling, and Assessment by Industry 4.0 Approaches

Inbunden, Engelska, 2024

Av Ajay Kumar, D. K. Rajak, Parveen Kumar, Sarita Rathee, Manipal University Jaipur) Kumar, Ajay (Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, India) Kumar, Parveen (Rawal Institute of Engineering and Technology, India) Rathee, Sarita (JECRC

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In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future.Features:This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environmentDiscusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehiclesPresents design and analysis of charging stations and their sustainability roadmap for smart electric vehiclesHighlights the cyber and functional security of intelligent and hybrid vehiclesExplains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehiclesCovers the Internet of Things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehiclesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

Produktinformation

Utgivningsdatum2024-08-14
Mått156 x 234 x 16 mm
Vikt550 g
FormatInbunden
SpråkEngelska
SerieIndustrial and Manufacturing Systems and Technologies: Sustainable and Intelligent Perspectives
Antal sidor196
FörlagTaylor & Francis Ltd
ISBN9781032801285

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Ajay Kumar is currently a Professor in the Mechanical Engineering Department, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He earned his Ph.D. in advanced manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) and M.Tech. (Distinction) from Maharshi Dayanand University, Rohtak, India. His areas of research include artificial intelligence, intelligent manufacturing, incremental sheet forming, additive manufacturing, intelligent vehicles, advanced manufacturing, Industry 4.0, waste management, and optimization techniques. He has over 60 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has coauthored/ co- edited several books including the following:Incremental Sheet Forming Technologies: Principles, merits, limitations, and applications, CRC Press, Taylor and Francis, ISBN 9780367276744, https://doi.org/10.1201/978042 9298 905Managing Guest Editor of Journal Proceedings, Ajay Kumar, Journal of Physics: Conference Series, Volume 1950, International Conference on Mechatronics and Artificial Intelligence (ICMAI) 2021 27 February 2021, Gurgaon, India, https://iop science.iop.org/issue/1742-6596/1950/1Advancements in Additive Manufacturing: Artificial Intelligence, Nature Inspired and Bio- manufacturing, ISBN: 9780323918343, ELSEVIER, https://doi.org/10.1016/C2020-0-03877-6Handbook of Sustainable Materials: Modelling, Characterization, and Optimization, CRC Press, Taylor and Francis, ISBN: 978-1-032-28632-7, https://doi.org/10.1201/9781003297772Waste Recovery and Management: An Approach Towards Sustainable Development Goals, CRC Press, Taylor and Francis, ISBN: 9781032281933, https://doi.org/10.1201/978100 3359784Smart Manufacturing: Forecasting the future of Industry 4.0, CRC Press, Taylor and Francis, ISBN: 9781032363431, https://doi.org/10.1201/978100 3333760Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Perspectives, ISBN: 9781119986409, WILEY. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119986454Modeling, Characterization, and Processing of Smart Materials, IGI Global, and ISBN: 9781668492246. DOI: 10.4018/978-1-6684-9224-6He has organized various national and international events including an International Conference on Mechatronics and Artificial Intelligence (ICMAI- 2021) as conference chair. He has more than 15 national and international patents in his credit. He has supervised more than eight MTech, PhD scholars and numerous undergraduate projects/ theses. He has a total of 13 years of experience in teaching and research. He is a guest editor and review editor of reputed journals including Frontiers in Sustainability.

1. Smart Electric and Hybrid Vehicles Architecture. 2. Proof of Concept: An On-Road Recharging E-Vehicle. 3. Cylindrical Lithium-ion battery- Fundamentals, Design and Manufacturing processes. 4. Revolutionizing Vehicular Braking: The Uni-Booster Integrated Disc Brake System. 5. Analyzing the Impact of Bumper Height on Pedestrian Injuries using Explicit Dynamics. 6. Improvise in Sigma Level in automobile industries. 7. Navigating the roadmap of intelligent transport in Indian smart cities: Sectorial analysis, challenges and key elements of data science enabled solutions. 8. Enhancing Aircraft Inspection Through Computer Vision: Mitigating Human Error and Improving Safety. 9. Unleashing the Power of YOLOv5: Revolutionizing Person Detection and Counting in Restricted Zones. 10. Revolutionizing Cloud Computing Security with the Power of Artificial Intelligence: Advancements, Challenges, and Opportunities. 11. HDVF: Hazy object detection network based on variational features.