The improvement of the functional complexity of the vehicle EOL (End of Line) Line is also becoming more and more complex. Based on the EOL architecture of manufacturing plants and the analysis of service levels, as well as the environmental factors affecting service scheduling, a scalable EOL architecture for functional domain control of intelligent vehicles is proposed, which can adapt to a wider range of detection service levels, facilitate cross-domain module testing to realize data sharing, save development costs and improve quality control.
With the rapid development of automobiles towards electrification and intelligence, 5nm Qualcomm 8295 flagship chip has been gradually applied to traditional and new energy vehicles, which brings higher requirements for high-quality signal transmission. In this study, the signal quality evaluation methods of the insertion loss to crosstalk ratio and the integrated crosstalk noise are explored. In addition, two kinds of differential via optimization schemes with the signal-ground ratio of 1:2 and 2:3 are proposed, respectively. The results show that the performance of the new differential via structure is improved significantly, which provides a reliable solution for high-quality signal transmission.
The course Automotive Electronic Control Technology stands as one of the core subjects within the automotive service engineering, bearing the responsibility of delving into the intricacies of modern vehicle control technology. This article, recognizing the unique characteristics of this course, examines some of the challenges existing within its teaching process. It embarks on an initial exploration, including the development of a blended online and offline teaching model, optimization of classroom instructional techniques, integration of theory and practical components, and a focus on enhancing the course's teaching assessment approach. These reforms are aimed at effectively elevating the quality and efficiency of course instruction, ultimately contributing to the growth and development of the students.
This article explores strategies to improve the quality of English education for automotive majors. Firstly, diverse teaching methods were introduced, including practical and interactive teaching processes, the application of multimedia technology and online resources, personalized teaching methods, project-driven teaching, and the utilization of online learning platforms. Secondly, the importance of establishing a scientific evaluation system was emphasized, including clarifying evaluation objectives and standards, adopting multiple evaluation methods and tools, establishing effective evaluation processes and mechanisms, and conducting self-evaluation and mutual evaluation. Finally, the necessity of strengthening resource support was emphasized, including increasing investment in teaching resources, establishing partnerships with the automotive industry, providing teacher training and further education opportunities, and establishing teacher exchange and cooperation platforms. The implementation of these strategies can improve students' practical application abilities and professional English proficiency.
With the rapid development of the automobile industry, the production quality of auto parts has received unprecedented attention, in which the mold accuracy directly determines the quality and performance of the product. In this paper, the precision control method of automobile injection mold is deeply discussed. From mold design, processing, heat treatment to precision machining and surface treatment, there are factors that can affect accuracy in every link. Through the experimental data, the influence of different control methods on mold accuracy was compared and analyzed, aiming at providing a more scientific and effective precision control strategy for mold manufacturing to meet the pursuit of high-quality parts in modern automobile industry.
