Artificial intelligence (AI) models, with their strong generalization and multi-task learning capabilities, have demonstrated extensive application potential in intelligent connected vehicles. This paper summarizes the challenges of the application of AI models in driving automation, analyzes the technical route of driving automation models, and the supporting platform technology of driving automation model development and validation, summarizes the application of intelligent cockpit, and explores the method for constructing scenario generation models based on large language models. From the perspectives of AI security and data governance, this paper summarizes the security governance practices associated with the application directions for AI models, providing a reference for the safety assessment and management of AI-related applications.

Europe has become one of China’s important automobile export markets. In order to enhance the product competitiveness of Chinese automobiles and assist Chinese automobile companies in conducting overseas adaptability tests. The market application of new energy vehicle technology and Internet Of Vehicle (IOV) in the European automotive market is studied. Based on the characteristics of automotive operating conditions in the European region, the European road test projects and necessary preparatory work are proposed. The results indicate that the European automotive market has broad application prospects in the fields of new energy vehicles and connected vehicles, and Chinese automotive products should pay attention to product adaptability development in the overseas application process.

The Noise Vibration Harshness (NVH) performance of vehicles is one of the key indicators of overall vehicle qualities. To enhance ride comfort and meet increasingly stringent NVH requirements, this paper reviews the application of Artificial Intelligence (AI) algorithms in NVH optimization, both domestically and internationally. It analyzes feasible approaches for improving NVH performance using AI-based methods and discusses future trends and challenges in AI-driven NVH optimization. The study aims to provide valuable insights for leveraging intelligent algorithms to address automotive performance enhancement.

Aiming at the reliability evaluation problem of small samples of long-life high-voltage relays, an analysis method of mean rank combined with least squares is proposed. Under the guidance of the basic principle of average rank method, the method of determining the fault rank of high voltage relay under random truncated multiple tests is studied. The least square method is used to estimate the reliability parameters, and the linear correlation coefficient and D-test method is used to test the fit. Under the condition that the fault data are subject to 2 distribution models at the same time, the total root-mean-square error method is introduced to optimize the distribution model, identify the optimal reliability model and conduct reliability evaluation.

The event-tracking data of intelligent cockpit contains rich information about driver and passenger actions. Analyzing and identifying specific action intents can benefit deeper insights into user needs. Considering the high cost, strong subjectivity, and repetitiveness of current methods that rely on manual tagging for action intent recognition, a new method based on Artificial Intelligence model for automated tagging and classification is proposed. By fine-tuning the Qwen2-14B model, this approach could rapidly identify action intents across multiple dimensions and granularities, enhance the efficiency of cloud data analysis and lay a theoretical foundation for real-time response to user needs on the vehicle side.

The braking distance is longer due to the larger size and weight of commercial vehicles, resulting in greater collision energy when accidents occur. In order to effectively reduce the injury of passengers in collision accidents, occupant protection technology for commercial vehicle cab is widely studied. Using patent analysis methods, the patents related to occupant protection technology are sorted out in terms of patent disclosure trends and patent technology composition. Furthermore, relevant patents of important enterprises are interpreted, and suggestions for the direction of patent layout in this field are put forward.

Light tactical vehicles are the backbone of rapid combat and rapid transfer on the modern battlefield. At present, there is a certain gap between the development of light tactical vehicles in China and that in foreign countries. In order to clarify this gap and promote the development of light tactical vehicles in China, the research progress of foreign mainstream light tactical vehicles is analyzed. It is found that the development of foreign light tactical vehicles has the characteristics of vehicle family, high mobility, high protection, electrification and intelligence. Based on this, the strategic suggestions for the development of light tactical vehicles in China are put forward in order to provide reference for reducing the disparity with the international advanced level.

As a key technology of next-generation power battery, solid-state batteries can meet the full-scene, all-climate, and high-safety requirements of new energy vehicles. To support the high-quality development of the solid-state battery industry, it is essential to systematically sort out the main technical routes of solid-state batteries, as well as the policy support and development status of domestic and foreign enterprises. The common technical and cost-related problems in the industry should be identified. The development of China’s solid-state battery industry is confronted with challenges such as patent constraints, an incomplete standard system, and potential impacts on existing liquid-state battery industries. In the future, it is urgent to plan and coordinate efforts, mobilize industry forces, and take multiple measures to accelerate the technological breakthroughs and industrial application of solid-state batteries.

At present, there is still a big gap between the performance of domestic air spring rubber capsules and foreign countries’, and the core technology is mainly in the hands of foreign companies. In order to study the core technical difficulties of air spring rubber airbags, the paper analyzes the application status and future development trend of air springs in the field of passenger vehicles. The rubber airbags are discussed from two aspects, materials and molding process. This paper finally summarizes the core technical problems of cystic skin, and the potential technological breakthrough paths to provide reference for the development of rubber skin technology in China.

In response to China’s “Transportation Power” strategy and the urgent need for breakthroughs in core technologies of Intelligent Connected Vehicle (ICV), addressing key challenges such as insufficient regional collaborative innovation and delays in building industry-wide patent barriers, this paper examines the development status and relevant policies of environmental perception technology. A comprehensive patent analysis is conducted on Jiangsu Province from multiple dimensions, including application trends, geographical distribution, patent mapping, and examination cycles. Finally, policy recommendations are proposed to optimize the patent layout in Jiangsu’s ICV sector, aiming to enhance its industrial competitiveness and provide valuable insights for future development.