ISSN: 3136-6872(Print)
Publication place: Hong Kong, China
Publication period: Bimonthly
Joumal Type: Open Access
Language: English
ISSN: 3136-6872(Print)
Publication place: Hong Kong, China
Publication period: Bimonthly
Joumal Type: Open Access
Language: English
Journal of Automotive Technical Reports (ISSN 3136-6872) is an international English-language academic journal focused on cutting-edge technological research in automotive engineering, published by HONG KONG SOURCEFOUNT PRESS LIMITED. Officially registered in 2026, the journal is published bimonthly. Grounded in the development trends of electrification, intelligence, connectivity, and lightweight design in automotive technology, the journal publishes high-quality academic achievements in fundamental theoretical research, applied technology breakthroughs, engineering empirical verification, and technology transfer and application in the automotive field, covering the iterative advancement of traditional internal combustion engine vehicle technology as well as the full industry chain research of new energy and intelligent vehicles, with the aim of contributing to automotive technology innovation and providing professional academic support and technical reference for the intelligent, green, and safe development of the automotive industry.
With the continuous advancement of technology, autonomous driving in smart vehicles has gradually become a research hotspot in the automotive industry. Traditional driving relies on human drivers for operation and decision-making, but this approach involves uncertainties and errors due to human factors, which can easily lead to traffic accidents and congestion. The emergence of autonomous driving offers new solutions for improving traffic safety, reducing accidents, and enhancing travel efficiency. This paper introduces autonomous driving in smart vehicles, analyzes its current development status and existing challenges, and explores autonomous control and execution mechanisms to effectively enhance the control capabilities of smart vehicle autonomy, thereby promoting the sustainable development of intelligent vehicle technology.
Strengthening the design and intelligent management of electric vehicle (EV) charging infrastructure can optimize charging station configurations, improve charging efficiency, and enable remote monitoring and data analysis through intelligent management systems. This helps meet the growing demand for EV charging and promotes the development of a sustainable transportation system. This paper reviews the evolution of EV charging infrastructure, analyzes design principles under intelligent management, and discusses challenges and solutions in EV charging infrastructure design, aiming to enhance its safety and user-friendliness.
Ambient lighting is a crucial component of automotive interiors, and its design significantly impacts both user convenience and perception. Optical simulation technology enables effective optimization of the optical pattern structures in interior ambient lighting, facilitating continuous improvement of design solutions. This paper analyzes the composition and working principles of automotive interior ambient lighting, outlines the design process and key considerations, and conducts simulation studies to enhance the design quality of interior ambient lighting, thereby improving user experience.
The engine connecting rod is a critical component in automobiles. Applying lean manufacturing techniques during its processing and production not only innovates the machining technology route but also optimizes the processing procedures, enhancing both efficiency and quality of connecting rod manufacturing. This, in turn, improves the assembly accuracy of the connecting rod assembly and enhances engine performance. This paper provides an overview of automotive engine connecting rods and discusses the application of lean manufacturing technologies in their processing, aiming to further improve the manufacturing standards of engine connecting rods and ensure vehicle driving safety.
Against the backdrop of rapid advancements in automotive technology, engine fault detection and repair have become a critical topic in vehicle maintenance. As engine designs grow increasingly complex and environmental and efficiency requirements continue to rise, automotive repair businesses are facing growing demands for advanced diagnostic and repair techniques. This paper analyzes common types and characteristics of engine faults, explores strategies for detecting and repairing issues in ignition systems, cooling systems, and fuel systems, and emphasizes the importance of using proper tools and technologies to ensure optimal engine performance. It also proposes preventive and long-term maintenance measures to extend engine lifespan, enhance safety, and improve reliability.
This paper provides an overview of the integrated theory-practice teaching model, discusses the current state of automotive manufacturing programs in higher vocational colleges, analyzes the application value and implementation strategies of the integrated theory-practice model in these programs, explores practical case studies, and offers insights into the future development of this model. It aims to provide theoretical support for improving teaching effectiveness and talent cultivation quality in automotive manufacturing programs at higher vocational institutions, thereby fostering a large number of highly skilled professionals to better serve the development of the automotive industry.