The accelerated evolution of L2 partial automation and the rapid improvement of market penetration are important directions for the current landing application of Intelligent and Connected Vehicle(ICV), and also the focus of attention to Chinese government. However, China currently lacks mandatory policy laws and regulations, and needs to strengthen supervision. Through in-depth study of the relevant policies, regulations and standards of the United States, Europe and Japan on the L2 partial automation of ICV, this paper fully absorbs and adapts useful experience, and systematically analyzes the current situation, technical level and application needs of China’s L2 combined driver assistance market so as to scientifically and effectively provides intellectual support for combined driving assistance supervisory policy.

In order to meet the increasing needs of users, it is an important task to build a development system based on the actual driving needs of users for the development of new energy vehicles. This paper analyzes the performance system of the users’ needs from 5 aspects: user performance demand identification, big data development, performance design, performance simulation and performance verification by establishing a vehicle simulation model, big data analysis model and real vehicle verification. The results show that the establishment of a development system considering the driving needs of users can effectively improve the market competitiveness of new energy vehicle products and improve product stickiness. It is believed that it is of great significance for the research and development of new energy vehicles to consider the needs of users in the research and development process and establish a performance development system based on the needs of users in combination with relevant technical methods.

This paper focuses on the standard essential patents of the national standard of electric vehicle wireless charging system. Firstly, it sorts out the wireless charging standard essential patent declaration, then analyzes the patent strategy and patent layout of Witricity, a key enterprise of the standard essential patent declaration. Finally the declarations involved foreign matter detection, resonance compensation and tuning control standards, conduct standard necessity analysis on the declared patents are combined, and whether the standard essential patents declared by the company actually constitute the patents necessary for the implementation of the standard is clarified.

Chinese automotive companies confront a range of challenges and issues in areas such as ascross-border trade settlement, cross-border supply chain financing, overseas industry financing, overseas consumer finance, and cross-border trade investment supply and demand. In response to these challenges, this paper traces the evolution of the Chinese automotive industry’s international development and its financial models. It examines the Japanese automotive export finance experience through the lenses of government policies, policy-oriented financial institutions, consortia, and companies. This paper concludes with specific recommendations for the export of Chinese automobiles, aiming to facilitate the high-quality internationalization of Chinese automotive industry.

With the increasing demand for real-time and large capacity data transmission in the in-vehicle network, Time Sensitive Networking (TSN) has become an essential technology in the electronic and electrical architecture with vehicle ethernet as the backbone network. In order to verify the delay effect of TSN protocol on vehicle ethernet, this paper analyzes the technical characteristics and application scenarios of the main TSN protocol family, uses RTaW software modeling, and simulates the traffic of vehicle ethernet under 4 different conditions through the Zonal architecture network. The results show that when the interference traffic accounts for 80% of the main link bandwidth, the worst end-to-end delay of vehicle ethernet using TSN protocol increases by about 0.1 us, which is close to no-interference case delay. Simulation results show that TSN can guarantee the delay of vehicle ethernet transmission queue reliably. TSN will play a greater role in audio and video transmission, high-level automatic driving, security backup and other aspects.

In order to overcome the challenges of traffic sign detection and recognition, such as small targets, diverse sizes, difficulty in obtaining relevant feature information, and susceptibility to complex background interference, traffic signs are detected and recognized. a deep learning method for traffic sign detection and recognition is proposed based on the YOLOv5s network. Addressing the issue of current traffic sign recognition algorithms struggling to identify small targets in complex backgrounds, we have integrated a shuffle attention mechanism into the C3 layer at the end of the YOLOv5s backbone network. This integration introduces a traffic sign detection and recognition algorithm that relies on an attention mechanism. This enhances the ability to focus on key areas and effectively eliminates background noise interference. To address the limitations of feature fusion in current object detection algorithms when dealing with traffic signs of varying sizes in images, we propose a weighted feature fusion network algorithm. This algorithm performs weighted fusion of shallow feature maps containing rich semantic information in the backbone network with medium and large target detection layers, enhancing the fusion ability of multi-size features. Experimental results on the traffic sign detection dataset CCTSDB 2021 show that the enhanced algorithm achieved a 0.5 percentage points increase in precision, a 3.6 percentage points increase in recall, and an average precision improvement of 2.8 percentage points compared to the original YOLOv5s method. Additionally, the detection speed reached 123.46 frame/s. Therefore, the proposed algorithm effectively enhances the accuracy of traffic sign detection and recognition while maintaining a original detection speed.

Fuel cell vehicle (FCV) is an important direction for the sustainable development of the automotive industry in the future. However, existing test and evaluation standards for FCVs have not thoroughly examined the types of faults and their classification. There is a lack of a unified fault grading classification scheme. To solve this issue, a comprehensive set of grading classification evaluation indicators for FCV faults is proposed to standardize the levels of related faults. The focus is on researching methods for classifying FCV faults in the case of lack of data. Based on factor analysis and fuzzy set theory, a fault mode classification evaluation method for FCVs under data scarcity conditions is proposed, offering guidance for the classification of FCV fault levels.

Focusing on the application of the non-metallic painting process of automotive exterior parts, this paper introduces the principle of the non-metallic painting process, the constitute of the non-metallic painting production line, the classification of paint materials and the development trend of the non-metallic painting process. The non-metallic painting process is a common surface treatment method for non-metallic parts. With the help of automatic painting robots, the surface of exterior parts is treated according to design requirements. The functions of paint are mainly divided into 3 categories: protection, decoration and function. The functional requirements of exterior decoration parts are stricter. In addition to meeting the thermodynamic performance, they also need to have excellent UV resistance and corrosion resistance. The research trend of paint materials is to study a new type of paint integrating environmental protection, decoration and performance in use. The development direction of the non-metallic painting process refers to intelligent and environmentally friendly.

To adapt to new trend of software-defined vehicle development and promote transformation and upgrading of automotive electronic and electrical architecture, this paper delineates the pivotal factors driving software-defined vehicle development and investigates the impending evolution of vehicle electronic and electrical hardware architecture. The paper examines the conceptual framework, hierarchical structure, and deployment strategies of Service-Oriented Architecture (SOA). Building upon these insights, a holistic technical framework for software-defined vehicle is developed, and the study delves into novel development methodologies and potential application domains. This research offers a technical blueprint for the design of future automotive electronic and electrical architectures.

The integrated die-casting technology for new energy vehicles has led the innovation in vehicle manufacturing processes. To address the dual objectives of vehicle lightweighting and cost control in new energy vehicles, the crucial role of aluminum alloy materials in the process of automobile lightweighting is elaborated. It dissects the principles, benefits, and drawbacks of the integrated die-casting process, alongside its current adoption in both domestic and international contexts. The paper also delves into the technological challenges in material development and process innovation within integrated die-casting. Additionally, feasible suggestions for the development and application of integrated die-casting technology are put forward, aiming to promote the widespread application of aluminum alloy materials in automobile manufacturing and provide powerful references for the lightweight, energy-saving, and environmentally friendly development of the autombile industry.