Smart Electric and Hybrid Vehicles : Fundamentals, Design, Modeling, and Applications, 2-Volume Set

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Smart Electric and Hybrid Vehicles : Fundamentals, Design, Modeling, and Applications, 2-Volume Set

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  • ページ数 504 p.
  • 言語 ENG
  • 商品コード 9781032600352
  • DDC分類 629.2293

Full 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.

Contents

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.

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