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Books in Automotive engineering

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Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components

  • 1st Edition
  • June 1, 2025
  • Xintian Liu + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 0 2 3 5 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 0 2 3 6 - 7
Automotive structural components are an important component that affects the performance of the entire vehicle. The light weight of automotive structural components is one of the sustainable solutions to energy and environmental issues, and the development technology of its core components and vehicle performance evaluation technology are its key development directions. To gradually replace traditional cars on a large scale, electric vehicles need to address the durability and reliability issues of the entire vehicle and key components. Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components helps readers understand how they can do this

Resilient, Sustainable and Smart Ballasted Railway Track

  • 1st Edition
  • June 1, 2025
  • Yunlong Guo + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 3 6 8 - 2
Resilient, Sustainable and Smart Ballasted Railway Track explores the optimization of railway ballast tracks to achieve resilience, sustainability, and intelligence in railway infrastructure. It summarizes and examines new technologies and developments that address unresolved rapid defects in track components: such as rail damage, track stability, ballast flight, and ballast fouling. The book discusses the application of innovative materials derived from waste and recycled railway components, including tyre-derived aggregates, recycled ballast, Neoballast, and polyurethane (often referred to as ballast glue).Finally, the book examines state-of-the-art structural health monitoring techniques, such as smart sleepers, Interferometric Synthetic Aperture Radar (InSAR), ground-penetrating radar, and inspection robots.

Sustainable Composites for Automotive Engineering

  • 1st Edition
  • May 1, 2025
  • Vijay Raghunathan + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 6 6 9 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 6 7 0 - 9
Sustainable Composites for Automotive Engineering presents recent trends in this important research field. Emphasis is placed on the development, characterization, and application of lightweight composites in various automobile components. The types of materials covered include polymer composites, metal matrix and ceramic matrix composites. The book takes a 360-degree approach and covers all aspects of the product development cycle including materials selection, as well as design and development processes, testing, characterization, modelling and simulation, and applications. The book will be a valuable reference resource for academic and industrial researchers, materials scientists and engineers, industrial R&D, automotive engineers, and manufacturers working in the design and development of composite materials for applications in automotive components.

Knowledge Graph-Based Methods for Automated Driving

  • 1st Edition
  • April 1, 2025
  • Rajesh Kumar Dhanaraj + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 0 0 4 0 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 0 0 4 1 - 7
Knowledge Graph-Based Methods for Automated Driving offers sought-after, specialized know-how for a wide range of readers both in academia and industry on the use of graphs as knowledge representation techniques which, when compared to other relational models, provide a number of advantages for data-driven applications like automated driving tasks. The machine learning pipeline presented in this volume incorporates a variety of auxiliary information, including logic rules, ontology-informed workflows, simulation outcomes, differential equations, and human input, with the resulting operational framework being more reliable, secure, efficient as well as sustainable.Case studies and other practical discussions exemplify these methods’ promising and exciting prospects for the maturation of scalable solutions with potential to transform transport and logistics worldwide.

Autonomous Electric Vehicles

  • 1st Edition
  • March 1, 2025
  • Gerasimos Rigatos + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 8 5 4 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 8 5 5 - 5
Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs.

Human-Machine Interface for Intelligent Vehicles

  • 1st Edition
  • August 20, 2024
  • Fang You + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 6 0 6 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 6 0 5 - 1
Human-Machine Interface for Intelligent Vehicles: Design Methodology and Cognitive Evaluation examines the fields of designing and developing intelligent design and intelligent vehicle driving evaluation by using virtual reality, augmented reality, and other technologies. The book explains the methodologies and systems of interactive design, user evaluation and testing using virtual reality technology and augmented reality technology in intelligent cockpit design. With the rising prominence of electric vehicles and automatic driving (assisted) technology, intelligent vehicles are becoming a reality.Compared to traditional interactive design, artificial intelligence provides new opportunities and challenges for the interactive design of intelligent cockpit space, especially under the condition of intelligent assisted driving, the driver's behavior performance, multimodal interactive display interface design and evaluation.

Vehicular Platoon System Design

  • 1st Edition
  • August 13, 2024
  • Hui Zhang + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 8 5 7 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 8 5 8 - 5
Vehicular Platoon System Design: Fundamentals and Robustness provides a comprehensive introduction to connected and automated vehicular platoon system design. Platoons decrease the distances between cars or trucks using electronic, and possibly mechanical, coupling. This capability allows many cars or trucks to accelerate or brake simultaneously. It also allows for a closer headway between vehicles by eliminating reacting distance needed for human reaction. The book considers the key issues of robustness and cybersecurity, with optimization-based model predictive control schemes applied to control vehicle platoon.In the controller design part, several practical problems, such as constraint handling, optimal control performance, robustness against disturbance, and resilience against cyberattacks are reviewed. In addition, the book provides detailed theoretical analysis of the stability of the platoon under different control schemes.

Terramechanics and Off-Road Vehicle Engineering

  • 3rd Edition
  • April 23, 2024
  • J.Y. Wong
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 1 4 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 1 5 - 1
Terramechanics and Off-Road Vehicle Engineering: Terrain Behaviour and Off-Road Mobility, Third Edition provides comprehensive coverage of terrain behavior, mechanics of wheel- and track-terrain interaction, and various types of models for cross-country performance, ranging from empirical, through theoretical, to physics-based engineering models. The physics-based models for wheeled and tracked vehicle performance developed under the direction of Prof. J.Y. Wong have been gaining increasingly wider acceptance by industry and governmental agencies. The mathematical models established for vehicle-terrain systems enable the engineering practitioner to evaluate a wide range of options and select an appropriate vehicle configuration for any given mission and environment.This long-anticipated revision presents the fields’ significant developments over the past decade, both through updates to existing chapters and the inclusion of new material related to modeling applications in addition to a notable, state-of-the-art excursus on extra-terrestrial rovers.

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

  • 1st Edition
  • April 4, 2024
  • Zhijun Chen
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 7 3 1 6 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 7 3 1 7 - 9
Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment not only supports the development of Intelligent & Connected Transportation, but also promotes the landing application of autonomous driving. Areas covered include the fusion target perception method based on vehicle vision and millimeter wave radar, cross-field of view object perception method, vehicle motion recognition method based on vehicle road fusion information, vehicle trajectory prediction method based on improved hybrid neural network and driving map construction driven by road perception fusion are introduced in this book.Benefiting from the development of computer technique, the advanced machine learning and artificial intelligence theories are used by this book to show readers the construction process of the Autonomous Driving Map.

Machine Learning in Manufacturing

  • 1st Edition
  • March 17, 2024
  • Carlos A. Escobar + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 9 0 2 9 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 0 3 0 - 1
Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews process monitoring based on machine learning algorithms and the technologies of the fourth industrial revolution and proposes Learning Quality Control (LQC), the evolution of Statistical Quality Control (SQC). This book identifies 10 big data issues in manufacturing and addresses them using an ad-hoc, 5-step problem-solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With two case studies using structured and unstructured data, this book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect-free processes. This book enables engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices.