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.

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.

Due to the popularity of data acquisition tools, the whole life cycle of automobile’s “selection, purchase, use, management, repairment and replacement” will generate data, from which key information needs to be extracted to reflect market changes, competitive enterprise dynamics, technology trends. In this study, data processing processes and tools in the industry are investigated. Key technologies such as dimensionality reduce, data fusion and data governance are integrated by using the coupling relationship of various stages to connect data resources with each other through ID identification. It is proved the point that through the visualization platform and analysis report, data analysis results and expert wisdom can be aggregated to provide decision support for product planning and market strategy of automobile and parts enterprises, and better digitize the value chain of automobile.

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.

Lateral stability is very important for driving of Electric Vehicles (EV). In order to reduce the risk of oversteering and understeering instability of 4WD EV, based on ISO 26262, the hazard analysis and risk assessment of the lateral stability control function of centralized 4WD EVs were carried out, and the safety goals of the lateral stability control function were determined. The co-simulation analysis of CarSim and MATLAB/Simulink was conducted, which proved that the stability control functional safety requirements are satisfied by safety goals determined. The research results show that the stability control functional safety level of 4WD EVs should be developed according to ASIL D, which can avoid hazards of understeering and oversteering for 4WD EVs, the research results can support the design of lateral stability control function and safety mechanism for 4WD EVs.

A Model-Based System Engineering (MBSE) approach has been proposed to construct a human-vehicle takeover requirement model, aiming to achieve complex functionality requirement management. This paper takes the human-vehicle takeover function application scenario as a use case, where the driver and the vehicle are considered as the main elements in accomplishing tasks together. The interaction capability is derived by combining the psychological, perceptual, and behavioral characteristics of humans in takeover tasks. Activity and sequence diagrams are established according to the takeover process, and a Systems Modeling Language (SysML) model tool is used for system capability allocation and system model establishment. The effectiveness and feasibility of this method have been verified through a case study and a comparison with traditional requirement analysis method has been conducted to demonstrate the advantages of this approach in managing complex functionality requirements.

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.

The European New Car Assessment Programme published 118 test results of vehicle models for a total in the past three years from 2020 to 2022. In order to accurately benchmark the safety performance of export vehicle models with the overall safety technology level of European market models, the overall ratings of all vehicle models, the distribution and regularity of results for different power types and vehicle types are summarized. A detailed analysis is conducted on the scores and characteristics of different fields, such as adult occupant protection, child occupant protection, rescue, and passive safety configuration for five-star vehicles. The main analysis results indicate that the overall safety level of vehicles in the European market is relatively high, with 75% of the tested models achieving five-star performance. The proportion of new energy vehicles and fuel vehicles achieving five-star performance is basically the same. The type of vehicle, the size of vehicle space, and the optional safety features have a certain influence to the score, and the central airbag contributing the most to the scoring rate.

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.