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Books in Automotive engineering

The Automotive Engineering portfolio spans vehicle design, powertrain technologies, emissions control, autonomous systems, and manufacturing processes. It delivers state-of-the-art research and practical applications for engineers and researchers driving innovation in mobility, electric vehicles, and smart transportation. Covering sustainability, AI, and safety, this collection equips professionals with knowledge to tackle industry challenges and develop next-generation automotive solutions.

  • Corrosion Resistance and Prevention for Sustainable Automotive Manufacturing

    • 1st Edition
    • Ashish Kumar + 1 more
    • English
    Corrosion Resistance and Prevention for Sustainable Automotive Manufacturing is an essential resource for readers in academia and industry aiming to stay current with advancements in automotive materials, coatings, and treatments designed to combat corrosion and extend vehicle life. This book consolidates the latest research, industry best practices, and real-world examples, offering an in-depth understanding of the science behind corrosion prevention. It explores pioneering solutions and strategies addressing the demand for reduced environmental impact in production processes and final products. In addition to addressing corrosion resistance, the book provides insights from leading experts in automotive engineering and materials science.It covers sustainable manufacturing practices, innovative treatments, and coating methodologies, making it an indispensable guide for professionals and researchers dedicated to advancing the automotive sector.

  • Automotive-Grade Electronics

    Reliability Design Theory, Development Process, and Full Lifetime Management
    • 1st Edition
    • Chenggang Zuo + 1 more
    • English
    Automotive-Grade Electronics: Reliability Design Theory, Development Process, and Full Lifetime Management provides readers with a comprehensive, up-to-date, expert, and best practice reference resource. The book fills a gap in the current literature by providing readers with a systematic exploration of reliability design theory, development processes, and full lifetime management of automotive-grade electronics, for both components and parts. The book takes a unique industry perspective, drawing upon the authors' two decades of experience in the electronics industry.

  • Construction and Application of Intelligent Driving Scenario Maps

    • 1st Edition
    • Bijun Li + 4 more
    • English
    Construction and Application of Intelligent Driving Scenario Maps systematically introduces the theory and practical application of map technology in intelligent driving, from algorithm design and key scenario map construction techniques to advanced applications, updating and validation, and future development prospects. The book examines multiple vehicle positioning technologies grounded in scene maps, assessing their effectiveness and applicability for enhancing intelligent driving systems. Various methodologies for constructing scene maps are explored, including algorithmic approaches and practical techniques that cater to different environments, thus enabling readers to understand their applicability.The book provides technical guidance and references for researchers, engineers, and relevant practitioners. In-depth discussion provides an appreciation of the significance of scenario maps to advanced methods for smoother and more efficient vehicle motion planning and control. It offers readers valuable insights and recommendations to drive and advance the development of intelligent vehicles, fostering innovation in this rapidly evolving field.

  • Digital Twin Technology for Autonomous Electric Vehicles

    Recent Trends and Future Perspectives
    • 1st Edition
    • Jeevanand Seshadrinath + 4 more
    • English
    Digital Twin Technology for Autonomous Electric Vehicles: Recent Trends and Future Perspectives serves as an essential guide for researchers, advanced students, and engineering professionals eager to harness the transformative potential of this cutting-edge approach. The volume offers an in-depth exploration of the intersection of DT software and AEVs, highlighting how this innovative strategy enhances vehicle functionality, efficiency, safety, and user experience. Reviewing the latest research outcomes and trends and touching on future perspectives, it provides a clear and actionable, step-by-step roadmap that also considers cybersecurity, regulation, ethics, and environmental friendliness.Valuabl... case studies that incorporate practical insights and lessons learned are blended into the work, providing context and application examples in diverse settings. The experts behind the insightful chapters successfully respond to the need for a multidisciplinary resource that bridges theory and best practices while fostering collaborative efforts to further identify and leverage opportunities.

  • Embedded Systems in Automotive Applications

    • 1st Edition
    • Aboubakr El Hammoumi + 1 more
    • English
    With its well-thought-out overview of the topic, Embedded Systems in Automotive Applications serves diverse audience across both in academia and industry. The volume discusses the AUTOSAR architecture and standards, highlighting their role in enabling the integration of emerging technologies such as blockchain-based security within the Internet of Vehicles. It further addresses embedded software design, implementation, and validation techniques that are fundamental to developing reliable and safety-critical automotive systems. In addition, it examines electric vehicle technologies, with particular focus on advanced battery management strategies and real-time power and health monitoring. Autonomous driving is explored through LiDAR-SLAM techniques and FPGA-based hardware architectures designed to support robust vehicle navigation. The book also emphasizes vehicle connectivity and telematics applications, encompassing innovations in smart mobility and intelligent transport. Together, these themes provide readers with a rigorous and well-rounded understanding of the challenges, methodologies, and opportunities shaping next-generation automotive embedded systems.

  • Structural Adhesive Bonding for Automotive Applications

    • 1st Edition
    • Alireza Akhavan-Safar + 3 more
    • English
    Structural adhesive bonding is a key approach to making cars better and safer while also reducing their environmental impact. Structural Adhesive Bonding for Automotive Applications covers several aspects of bonded joints, including materials selection, design and manufacturing processes, quality control techniques, durability analysis, and repair methods. Practical examples support the investigations into the improvements that adhesively bonded configurations offer, including enhanced resistance to dynamic fatigue, increased body stiffness, better crash performance compared with other conventional joining methods, and greater corrosion resistance.The book provides a timely compendium of specialized knowledge alongside the current state of the art, which should appeal to a broad range of audiences—from students who wish to further their understanding of adhesive science and bonded vehicle structures to manufacturing and design engineers who wish to gain an appreciation of new technology in adhesive joining.

  • Sustainable Composites for Automotive Engineering

    • 1st Edition
    • Vijay Raghunathan + 3 more
    • English
    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.

  • Resilient, Sustainable and Smart Ballasted Railway Track

    • 1st Edition
    • Yunlong Guo + 1 more
    • English
    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. This book discusses the application of innovative materials derived from waste and recycled railway components, including derived aggregates, recycled ballast, Neoballast, and polyurethane (often referred to as ballast glue). This book examines state-of-the-art structural health monitoring techniques, such as smart sleepers, interferometric synthetic aperture radar, ground-penetrating radar, and inspection robots.

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

    • 1st Edition
    • Xintian Liu + 3 more
    • English
    Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components covers this 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.

  • Knowledge Graph-Based Methods for Automated Driving

    • 1st Edition
    • Rajesh Kumar Dhanaraj + 3 more
    • English
    The global race to develop and deploy automated vehicles is still hindered by significant challenges, with the related complexities requiring multidisciplinary research approaches. 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, 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.