Digital intelligent transformation serves as the core driving force for the transformation, upgrading and high-quality development of the automotive industry. To address the issues of insufficient collaboration, low efficiency, lack of data governance, and difficulty in knowledge reuse in the R&D field, FAW actively developes the “FAW Digital Twin” to achieve 100% business digital twinning. Moreover, FAW also actively engages in business digital intelligence transformation, outlining a comprehensive methodology for business digital twinning and independently developing a cloud-native, modularized, and service-oriented designer workbench. The operationalization of the digital twinning in R&D business has significantly improved the research and development efficiency and quality. The platform collaboration efficiency has enhanced one time, the average design change period has been shortened by half, and the average problem resolution period has been reduced by 30.69%.

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.

In order to overcome the difficulties that quite a few patent value evaluation systems exist but difficult to implement and the enterprises are not able to achieve effective hierarchical management, this paper expounds a management scheme based on the actual life cycle of patents, and formulates a hierarchical management strategy of the whole life cycle of patents that is more in line with market demand and enterprise strategy by interpreting the characteristics and influencing factors of high-value patents. Moreover, a 12-digit code is formed through the multi-dimensional evaluation of each patent proposal before, during and after the application. Last but not least, this patent management operation mode is determined according to the coding results, so as to ensure the patents commercial value.

The quality problems of new energy vehicles cover a wide range, involve multiple sectors, and demand high technical standards. In order to prevent direct intervention from related sectors when problems arise and address the problems of unclear specialization in the traditional problem management process, low efficiency in problem-solving, lengthy resolution time, and incomplete problem resolution, a system-level problem management method for new energy vehicles is proposed. It involves problem positioning, problem process control, problem summary and accumulation, and problem recurrence preventing. Moreover, it innovatively introduces digital tools and methods into the problem management process. This research shows that this method can improve the efficiency of problem-solving, enhance the depth of problem management, facilitate effective experience accumulation, and strongly support the rapid iteration and technological upgrading of new energy vehicle products.

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.

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.

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.

At present, the vast majority of intelligent surface products are made of a single material: plastic, which typically integrated capacitive touch and vibration feedback technologies. In order to meet the needs of users for appearance design and digital experience, various technologies such as capacitive touch, sound feedback, vibration feedback, and pressure sensing are utilized. By covering the surface with 4 materials: plastic, wood, metal and fabric, this paper explores various tactile sensations from vibration sources and surface properties of materials. This exploration aims to enhance the material richness and user experience in intelligent cockpit design.

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.