At present, there are some problems in automobile manufacturing, such as fast update of function performance, difficult cost control and fast change of consumer aesthetic. In order to solve these problems, it is necessary to integrate the concept of synchronous product development in vehicle production process development. Through the use of digital and automated review processes, the aim is to shorten and improve the product development process, increase the efficiency of process review, closely integrate design and production at the initial stage of new product development. This paper systematically reviews the demand analysis and overall design of the digital process of synchronous development, classifies and summarizes the data with computer data structure, and summarizes 5 basic review models, focusing on the method of transforming review data into review model.

With the establishment of China’s dual carbon goals and the continuous tightening of regulations, commercial vehicles have also embarked on a path of transformation and upgrading. The domestic commercial vehicle market is gradually saturated, the subsidy policies for new energy commercial vehicles continue to decline. In order to study the development trends of new energy commercial vehicles in China, through literature review and investigation research, the development of commercial vehicles in China is summarized as follows: (1) The commercial vehicle market has shifted from incremental development to stock competition stage, (2) Overseas markets have become new growth poles, (3) The development of new energy commercial vehicles is shifting from policy driven to policy market dual driven, (4) In the short term, multiple technological routes will continue to coexist and evolve, (5) Innovative business models will usher in rapid development.

The fierce competition in the commercial vehicle market is often determined by the changing customer demands, which in turn determines the market position and development direction of the enterprise. This paper proposes a commercial vehicle customer demand analysis method based on data mining technologies. By processing and analyzing customer data, the implicit customer demand characteristics are mined, a customer demand model is established to provide decision-making basis for enterprise customer demand analysis. This paper first introduces the importance and status quo of commercial vehicle customer demand analysis, then details the application of data mining technologies in customer demand analysis, including data preprocessing, data mining algorithm selection and customer demand model establishment. By processing and analyzing experimental data, this paper establishes a commercial vehicle customer demand model, verifies and optimizes the model. The experimental results show that the commercial vehicle customer demand analysis method proposed in this paper can accurately mine customer demand characteristics and provide more objective and scientific decision-making basis for enterprises. This method can be widely used in customer demand analysis and product design in the commercial vehicle market.

Virtual Reality (VR) Technologies have developed rapidly in recent years and have been widely reflected in all walks of life. In order to better promote the informationization and intelligence of the automobile industry, this study discusses the application and development trend of VR technologies in the automobile industry. The results show that VR technologies have broad applications and prospects in automobile design, production, sales, safety training and entertainment. With the continuous progress of technology, future automobile enterprises will pay more attention to the research and applications of VR technologies.

In the study of stability control for intelligent vehicle, the changes of model parameters and external disturbances such as lateral wind and road adhesion coefficient, which may lead to instability and poor robust stability. In order to improve the riding stability of intelligent vehicles under random interference, a stability control strategy based on Active Front Steering（AFS） and Direct Yaw moment Control（DYC） coordinated control is proposed. Firstly, a two-degree-of-freedom dynamic model of the vehicle is established. Secondly, a front wheel active steering controller based on robust adaptive sliding mode control is designed by combining adaptive law and sliding mode control to suppress the disturbance in the vehicle running, which solves the robust control problem of nonlinear systems with time-varying parameters, uncertainty and unknown disturbance. The yaw moment controller based on genetic optimization fuzzy control is used to solve the additional yaw moment to restore the stable running of the vehicle. Based on Simulink and CarSim simulation platform, the stability control method is simulated under step disturbance, sinusoidal disturbance and mixed disturbance. The results show that the coordinated control significantly reduces the additional yaw torque output of the vehicle, which can be well inhibited interference and fully ensure riding stability of the vehicle.

In the environment that the passenger car industry is becoming increasingly prosperous, it is crucial for each automobile enterprise to accurately grasp the development direction of the industry and formulate suitable production goals. In this paper, historical sales, macroeconomic indicators and online search keyword data are selected as variables to establish a variety of sales prediction models for the overall passenger car market in order to improve the prediction accuracy of passenger car sales. Through comparative analysis, the Gradient Boosting Decision Tree (GDBT) algorithm model considering the above 3 variables has the best effect and its Mean Absolute Percentage Error (MAPE) is 10.35%. The model obtained in this paper can help automobile enterprises understand the development of market trends, make targeted production planning and provide a new reference model for the research of sales forecast.

As a secondary clean energy source, hydrogen energy has become an important direction of global energy structure transformation, and an important support for green and low-carbon development of road transportation system. Hydrogen fuel cell vehicle and hydrogen-fueled engine vehicle are two major technology routes of hydrogen energy application and complement each other. In order to analyze the maturity and actual development trend of the two major technology routes, this paper carries out research by literature review. The development of hydrogen fuel cell vehicles has begun to take shape but still faces many uncertainties, and hydrogen fuel engine vehicles are accelerating into engineering application stage. The final product form of hydrogen powertrain and automobile depends on the cost and technology maturity of hydrogen production from green electricity.

Cooperative vehicle infrastructure integration technologies are research hotspots in the field of autonomous driving and transportation control. In order to summarize the development trend and blank field of vehicle infrastructure integration, this paper analyzes the vehicle infrastructure integration technology from the perspective of patent analysis, summarizes the development trends of technologies of cooperative vehicle infrastructure integration in the number of patent applications, applicants, technological know-how and technological effects. Additionally, this paper analyzes the technological decomposition of cooperative vehicle infrastructure integration from the perception level, communication level and application level, and interprets the representative patents of cooperative vehicle infrastructure integration technologies in each technological branch. The analysis results show that, at present, the innovation of cooperative vehicle infrastructure integration technologies take the improvement of safety, efficiency and accuracy as main goals, and environmental protection and comfort are also the important goals of the construction of cooperative vehicle infrastructure integration systems, which still belong to the patent blank and has a broad space for patent portfolio.

As the core component of the power battery system, the power battery system and structure has an important impact on the reliable application of the power battery system in New Energy Vehicle (NEV). However, there are few literatures on systematic research of power battery system and structure at present. In order to systematically grasp technologies in this field and promote the R＆D and application of technologies in this field, the patents in this field are interpreted from the perspectives of patent application trends, applicants, inventors and main technical branches. The results show that technologies in this field are mainly in the hands of battery manufacturers. Combined with the patent situation in the field of segmentation, automobile enterprises can accelerate the research and development of battery explosion prevention and modular structure in the future.

Guided by the organic integration theory and combined with the changes in the purchase motivation of new energy vehicle consumers, the process of transformation from external motivation to internal motivation is deconstructed from policy guidance, marketing and cognitive formation, concept establishment and cognitive internalization. The analysis finds that the purchase motivation is dominated by external regulation, the main regulation process and motivation are to obtain policy subsidies. Secondly, the internalization and regulation of purchase motivation are blocked in the process from outside to inside, consumers’ cognition and acceptance of new energy vehicles are at a low level. Relevant suggestions are proposed based on the aspects involved in external regulation.