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.

The newenergy vehicle industry is faced with comprehensive upgrading and rapid competition, but the product development cycle is continuously shortened, and synchronization brings more severe test on efficiency and cost of R&D equipment. In order to further improve the equipment R&D efficiency and quickly meet the new energy high-end product development needs. A kind of predictive maintenance system for R&D equipment is researched and designed in depth. Fault diagnosis and life prediction algorithm model are developed through key technologies such as Internet of Things, wavelet transform, deep learning, multiple Gaussian distribution and long and short time memory neural network, so as to realize the prediction of key faults and remaining life of equipment. The results show that the system can significantly reduce the downtime and maintenance time, and achieve more efficient use of R&D and maintenance resources.

To optimize the opening and closing forces of the automotive Power Lift Gate (PLG) system, the literature on algorithms related to lift gate forces is reviewed, and a mechanical model of the lift gate system is established. The expressions for the moment exerted by the support rod on the lift gate and the moment exerted by gravity on the lift gate are derived, and the relationships between the length of the support rod, the force arm of the support rod, and the opening angle are analyzed. A simulation model is created using simulation software to perform calculations, and the rationality of the expressions is verified. This study provides a theoretical foundation and optimization direction for the design and improvement of PLG systems.

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 application potential of on-device intelligent technology in distributed computing, with its inherent advantages in timeliness and privacy preservation, is progressively expanding within intelligent connected vehicles. Based on on-device intelligent principles, this paper proposes a device-cloud collaborative framework for expedited recommendation functionalities in intelligent connected vehicles, thereby establishing a novel technical solution for intelligent networking through on-device computing. The architecture incorporates the design of on-device model training and inference mechanisms that enable real-time local data analysis and decision-making at vehicular terminals. This implementation facilitates personalized shortcut recommendations tailored to occupants’ preferences. Experimental results demonstrate that the proposed scheme significantly enhances users’ experience while providing innovative insights into practical implementations of on-device intelligent technology for intelligent connected vehicles. This research contributes new perspectives for Intelligent connected vehicles applications through on-device.

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.

Electric Vehicles (EVs) are more prone to inducing motion sickness compared to traditional vehicles. To investigate the factors contributing to motion sickness in EVs and their differences from traditional vehicles, and to propose effective mitigation and treatment methods, process and mechanism of motion sickness induction in EVs is explored by analyzing factors such as EVs’ structural characteristics, power output, and regenerative braking systems. Mitigation methods, including medical medications, structural optimization, and aroma regulation are also considered. Meanwhile, subjective questionnaires and objective physiological data are compared as methods for testing motion sickness. The research results indicate that EVs are more likely to induce motion sickness due to their robust power output characteristics and the repeated pulling sensation caused by the regenerative braking system. Existing mitigation methods have shown varying degrees of effectiveness across different individuals. Additionally, the study offers insights and prospects for future research on managing motion sickness in EVs, contributing to more effective solutions.

This paper focuses on hot topics of driving characteristics, outlining the basic concepts and three identification methods: methods based on head movements and facial features, methods grounded in physiology and psychology, and methods relying on operational behavior. It elaborates on the applications of driving characteristic identification in energy management strategies for hybrid vehicles, safety warning systems, and personalized driving assistance systems. Finally, the current status and limitations of researches on driving characteristics are summarized, and prospects for future research work are proposed.

To enhance driving performance during drive mode transitions in battery electric vehicles, a controllable disengagement device is integrated between the front axle electric drive assembly and the differential, enabling timely switching between four-wheel-drive (4WD) and two-wheel-drive (2WD) modes. First, a dual-motor four-wheel-drive pure electric vehicle configuration incorporating the disengagement device is constructed, and the energy flow characteristics of 2WD and 4WD modes are analyzed. Second, mode transition conditions are designed based on driving scenario requirements, and a phased torque transfer control strategy is developed. Finally, seven categories of drivability evaluation scenarios are proposed, along with objective evaluation metrics. Experimental validation demonstrates that the proposed configuration significantly enhances the vehicle’s driving performance and ride comfort.

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.