Название: Embedded Systems in Automotive Applications
Автор: Aboubakr El Hammoumi, Saad Motahhir
Издательство: Elsevier
Год: 2026
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 21.7 MB

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.

- Systematically discusses automotive embedded systems, including information on the current state of the art and upcoming prospects
- Features in-depth coverage of core topics such as AUTOSAR standards, blockchain- enabled IoV security, embedded software validation, battery management, real time monitoring in electric vehicles, LiDAR-SLAM techniques, and FPGA-based architectures for autonomous navigation
- Ensures readers are up to date with cutting-edge industry developments and are prepared to further steer research into prominent trends (e.g., autonomous driving, electric vehicles, and connected cars, among others)

The chapters of this book are organized into thematic domains that reflect the most pressing and innovative areas of research and development:
• This book begins with an overview of automotive embedded systems, offering a comprehensive foundation for understanding their archi­tecture and role in vehicle subsystems.
• It proceeds with a detailed examination of the AUTOSAR standard, covering both Classic and Adaptive platforms and their role in automotive software architectures. It then discusses Internet of Vehicles (IoV) applications and the integration of Blockchain security. Additionally, a survey of multithreading models and ADAS imple­mentations compliant with AUTOSAR is presented.
• The next section focuses on software implementation and validation, highlighting parallelization techniques on multicore digital signal processors (DSPs), the use of Google Test/Mock frameworks for verifying safety-critical embedded software, and validation methodol­ogies such as model-in-the-loop (MIL) and processor-in-the-loop (PIL) testing—particularly for state-of-charge estimation algorithms in elec­tric vehicle battery systems deployed on ARM processors.

Readership:
Primary: Senior/final-year undergraduate students, postgraduate students, researchers, and academics in automotive engineering; intelligent transport engineering; applied software engineering; electronics and instrumentation engineering; applied mechanical engineering (robotics and mechatronics).
Secondary: Automotive industry practitioners (e.g. vehicle designers, mechanical engineers, electrical engineers, quality control specialists); R&D engineering professionals for embedded software, control systems, automotive testing, autonomous driving, connected mobility; automakers and suppliers.