Smart Electric and Hybrid Vehicles
Fundamentals, Design, Modeling, and Applications, 2-Volume Set
1st Edition
Published on 15. August 2024
Book
504 pages
978-1-032-60035-2 (ISBN)
Description
This set consists of two volumes, which present an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives and fuel cell based and plug in smart electric and hybrid vehicles, and discusses the recent developments, future outlook, advanced and analytical modeling techniques of smart electric and hybrid vehicles. Volume 1 provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and depth in knowledge of power electronics tools in smart electric and hybrid vehicles. It also compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized for harmful emissions over the entire life cycle of vehicle and how reliance on fossil fuels can be cut down. Volume 2 discusses the integration of newer developments like digital twin, artificial intelligence, Nature inspired algorithms, Internet of Things, 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 future.
This volume set:
Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehicles and presents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehicles.
Showcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles.
Focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment and discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles and presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles.
Highlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defence, and medical and the cyber and functional security of intelligent and hybrid vehicles.
Covers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehicles, internet of things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles.
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.
This volume set:
Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehicles and presents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehicles.
Showcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles.
Focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment and discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles and presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles.
Highlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defence, and medical and the cyber and functional security of intelligent and hybrid vehicles.
Covers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehicles, internet of things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles.
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Undergraduate Advanced
Illustrations
139 s/w Abbildungen, 46 s/w Photographien bzw. Rasterbilder, 93 s/w Zeichnungen, 72 s/w Tabellen
72 Tables, black and white; 93 Line drawings, black and white; 46 Halftones, black and white; 139 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
1020 gr
ISBN-13
978-1-032-60035-2 (9781032600352)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Dr. Ajay Kumar is currently serving as an Associate Professor in Mechanical Engineering Department, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of 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 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 8 M. Tech, PhD scholars and numerous undergraduate projects/theses. He has a total of 13 years of experience in teaching and research. He is and Guest Editor and Review Editor of the reputed journals including Frontiers in Sustainability. He has contributed many international conferences/ symposiums as a session chair, expert speaker, member of editorial board. He has won several proficiency awards during his career, including merit awards, best teacher awards, and so on. He has been adviser of Association of Engineers and Technocrats (AET) and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. He has organized a series of Faculty Development Programmes, International Conferences, workshops, and seminar for researchers, PhD, UG and PG level students. He is associated with many research, academic, and professional societies in various capacities.
Dr. D. K. Rajak is a doctorate in material and design engineering from Indian Institute of Technology (ISM) Dhanbad, Jharkhand-India. The academic achievements are manifested in his original research contributions through over 120 papers published in refereed international journal, including 18-patents, 02-designs, 12-book chapters, and 02-books. These contributions are well reckoned as shown through numerous citations to his papers more than 1900. He has recognized such as world's top 2% scientists-2022, young scientist, excellence in research, best session paper and outstanding reviewer from elsevier, springer, wiley journals etc. Moreover, serving as a Nashik-Branch President for International Engineering and Technology Institute, Hong Kong, and recent work consists of development of aluminum foams for different applications where low density and high specific energy absorption is required in automobile, aerospace and thermal management sectors, polymers, fiber etc.
Mr. Parveen Kumar is currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he is pursuing Ph.D. from National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M. Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Intelligent Manufacturing Systems, Materials; Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques. He has over 20 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has 8 national and international patents in his credit. He has supervised more than 10 M. Tech. scholars and numerous undergraduate projects/theses. He has a total of 12 years of experience in teaching and research. He has organized a series of Faculty Development Programmes, workshops, and seminar for researcher, UG level students.
Ms. Sarita Rathee is currently serving as an Assistant Professor in Department of Electrical and Electronics Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. She received her M. Tech (Distinction) in the field of Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak, India after B.Tech. (Hons.) in electrical engineering. Her areas of research include Artificial Intelligence, IOT, cloud computing, Industry 4.0, Waste management, and optimization techniques. She has over 10 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. She has more than 05 national and international patents to her credit. She has supervised more than 4 M. Tech scholars and numerous undergraduate projects/theses. She has a total of 05 years of experience in teaching and research. She has won several proficiency awards during his career, including merit awards, best teacher awards, and so on. She is co-adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. She has attended a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. She teaches the following courses at the graduate and postgraduate level: instrumentation engineering, IOT, FACTS devices, Power electronics, electric vehicles and so on. She is associated with many research, academic, and professional societies in various capacities.
Dr. D. K. Rajak is a doctorate in material and design engineering from Indian Institute of Technology (ISM) Dhanbad, Jharkhand-India. The academic achievements are manifested in his original research contributions through over 120 papers published in refereed international journal, including 18-patents, 02-designs, 12-book chapters, and 02-books. These contributions are well reckoned as shown through numerous citations to his papers more than 1900. He has recognized such as world's top 2% scientists-2022, young scientist, excellence in research, best session paper and outstanding reviewer from elsevier, springer, wiley journals etc. Moreover, serving as a Nashik-Branch President for International Engineering and Technology Institute, Hong Kong, and recent work consists of development of aluminum foams for different applications where low density and high specific energy absorption is required in automobile, aerospace and thermal management sectors, polymers, fiber etc.
Mr. Parveen Kumar is currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he is pursuing Ph.D. from National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M. Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Intelligent Manufacturing Systems, Materials; Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques. He has over 20 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has 8 national and international patents in his credit. He has supervised more than 10 M. Tech. scholars and numerous undergraduate projects/theses. He has a total of 12 years of experience in teaching and research. He has organized a series of Faculty Development Programmes, workshops, and seminar for researcher, UG level students.
Ms. Sarita Rathee is currently serving as an Assistant Professor in Department of Electrical and Electronics Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. She received her M. Tech (Distinction) in the field of Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak, India after B.Tech. (Hons.) in electrical engineering. Her areas of research include Artificial Intelligence, IOT, cloud computing, Industry 4.0, Waste management, and optimization techniques. She has over 10 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. She has more than 05 national and international patents to her credit. She has supervised more than 4 M. Tech scholars and numerous undergraduate projects/theses. She has a total of 05 years of experience in teaching and research. She has won several proficiency awards during his career, including merit awards, best teacher awards, and so on. She is co-adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. She has attended a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. She teaches the following courses at the graduate and postgraduate level: instrumentation engineering, IOT, FACTS devices, Power electronics, electric vehicles and so on. She is associated with many research, academic, and professional societies in various capacities.
Content
Volume 1. 1. An Overview on Electric Vehicles: Technologies, Emissions, and Challenges. 2. A Comprehensive Review on Rechargeable Batteries: Technologies, Advancements, and Comparative Analysis. 3. Fabrication of Test Rig to Analyze the Effects of Variable Belt Tension in a CVT System. 4. An analysis of start stop system for energy efficient micro hybrid two-wheeler. 5. Optimization of Electric Vehicle Lithium-ion battery parameter by using Taguchi Methodology. 6. Energizing the Future: Electric Vehicle Charging infrastructure, Integration, and Policy Perspectives. 7. Modeling of Electronic - Waste Recycling Intentions among Generation Z. 8. Vision-Based Target Tracking for UAVs using Yolov2 Deep Algorithms. 9. Flight Delay Prediction: A Comprehensive Review of Models, Methods, and Trends. 10. Selection of Electric Car using Multi-Attribute Decision-Making Methods. 11. People's perception of Electric Vehicles in developing countries: A case study of Jaipur city. 12. Significance of AI in Automobiles.
Volume 2. 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.
Volume 2. 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.