The anti-roll bar of automobile suspension is an important component of suspension system. Good lateral stabilizer bar can make the car with good handling, ride comfort. Firstly, the composition, classification and working principle of the transverse stabilizer bar are briefly summarized, and the different working conditions are introduced. Secondly, the paper summarizes the research status of the lateral stabilizer bar of automobile suspension by domestic and foreign scholars in this field, introduces the optimization design, fatigue life and active control, and briefly describes the control principle and characteristics of each control method. Finally, based on the current research status of the transverse stabilizer bar, the development trend is predicted.

In order to ensure the safe development of New Energy Vehicle(NEV), an in-depth study is conducted on the power batteries to effectively identify the main causes of battery failure and put forward targeted suggestions. Firstly, the main categories of power battery failure are analyzed and a power battery fault tree is established based on the fault tree by combining 16 existing domestic standards. Secondly, based on the hierarchical analysis method, a power battery fault hierarchy analysis model is constructed and the weights of each index are determined by the expert survey method. Finally, the optimization suggestions for the power battery are made according to the calculation results. The article intends to provide theoretical basis and guidance suggestions for the development of power battery reliability design of new energy vehicles.

Trajectory tracking and control technology has always been a hotspot in the research of intelligent vehicles. Through 3 basic modeling methods, that is, geometric dynamics, kinematics and dynamics, the intelligent vehicle trajectory tracking control algorithm is classified, the principles, research status, advantages and disadvantages of various algorithms are explained in detail. On this basis, continue The improvement and optimization direction of the trajectory tracking algorithm and the research status of the improvement direction are discussed. Analysis of optimization and improvement methods shows that a single control method cannot meet the operational requirements of the actual scene of smart cars, the development of smart cars in the future tends to integrate multiple smart control algorithms to solve the shortcomings of a single control algorithm.

In order to study the development progress and trends of the automated driving vehicle industry, current technological development status domestic and overseas are summarized, the analysis of the key and core technologies, and risks related to automated driving vehicle are carried out by utilizing the methods of data analysis and technological trend analysis. Research results indicate that the current situation of automated driving vehicle is that high-performance and cost-effective vehicles with driver-assistance have dominated the markets and commercial operations of highly automated and fully automated driving in multi-scenarios have started in. The rapid development of Artificial Intelligence (AI) has promoted the commercialization of automated driving vehicle. The development of automated driving vehicles shows the future trends of high-level intelligence, electrification, multi-domain integration, aid with generative large model, safety and convenience, low carbon and environmental protection.

This paper briefly elaborated the coating process of automobile interior decoration parts and the features of translucent artificial leather. The application feasibility of the transparent skin on the soft decorative parts was analyzed. The scheme of combination of transparent decorative panel and interior ambient lighting system is studied. The feasibility of the application scheme of transparent skin was verified by experiments. The results show that the application of translucent artificial leather on the instrument panel decoration can make the decorative panel have the function of surface light transmission, which can realize the combination of soft touch and lighting pattern, improve the intelligence and sense of science and technology for the cockpit system, break the limitations of the existing ambient lighting layout and can meet the diversified and personalized needs of consumers.

In order to explore the test method that can effectively stimulate the understeering trend of vehicles in dangerous or extreme working conditions and develop reasonable indexes to evaluate the understeering control performance of electronic stability control system (ESC), to make up for the deficiencies in this field at home and abroad. The vehicle model was built by using the multi-body dynamics simulation software ADAMS and combined simulation with MATLAB/Simulink based on the analysis of the working principle and basic requirements of the Electronic Stability Control System (ESC). Combined with the vehicle test and verification, an evaluation method for the performance of ESC control understeering was proposed. It can effectively test and evaluate the control performance of ESC for vehicle understeering under dangerous conditions, which makes up for the deficiency in this field at home and abroad, and improves the ESC test and evaluation system.

With the maturity of autonomous driving technology, human-machine sharing has become the norm. Automated driving cars are no longer just “machines”, but “partners” who can complete driving tasks together. This requires industrial artificial intelligence to deeply integrate the cognitive information processing of the human brain in the human-machine symbiotic intelligence system. In order to better realize the overall advantages of human-machine cooperation, this paper analyzes the human-machine cooperation and division of labor in advanced autonomous vehicles by constructing a psychological framework of human-machine teamwork, including two-way mixed cognition, shared driving intention and control, so as to complete the integration of human-machine collaborative cognitive decision-making.

At present, Intelligent and Connected Vehicle (ICV) has become the strategic direction of the development of China’s automobile industry. The development of ICVs can provide new momentum and the best carrier for the innovation and development of Artificial Intelligence (AI). At the same time, AI innovation and development can also drive the development of ICV industry. Through deep excavation, analysis of AI and ICV technology literatures, based on AI driven ICV development status, from the AI innovation driven ICV industry development path, this paper proposes to build 4 system platforms for ICVs based on AI and vigorously erect development paths for CPU of ICVs and key components for ICVs. Aim of the research is to promote the development of ICV industry well, so as to effectively solve the issues of traffic accidents, urban road congestion, fossil energy consumption and air pollution faced by human society, and realize the transformation and upgrading of the automobile industry and the establish a new ecology of ICV industry.

This paper analyzes the control strategies of dynamic system operation mode of hybrid electric vehicle. Based on factors such as vehicle torque demand, battery SOC, accelerator pedal and brake pedal, the switching conditions, control methods and assembly states between different modes are analyzed. The operation modes of the vehicle include pure electric start mode, 4WD start mode, engine start mode, idle charge mode, series drive mode, drive charge mode, parallel drive mode and energy recovery mode. The analysis of control strategies for these operation modes can be used to provide references for relevant engineering developers.

Lithium-ion batteries with silicon-based anodes are considered to be the most promising next-generation Lithium-ion batteries due to their high theoretical specific capacity and low operating voltage. However, the inherent huge volume expansion of silicon-based materials after lithiation and the resulting problems seriously restrict the practical application of silicon-based anodes. From different functional types of polymer binders, the latest research progress of binders for silicon-based anodes is summarized. Finally, a method for rationally designing binders for silicon-based anodes and suggestions for industrial production are proposed.