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.

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 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.

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.

To address the safety risks that may arise from vehicle Over-The-Air (OTA) technology, a system solution for an online update system simulation testing platform for automobiles is designed based on the working principle of OTA. A software system for automated OTA testing based on the simulation testing platform was designed, it elaborated on the system structure and implementation principle of the testing platform, and the testing platform built by the testing cabinet achieves component flashing testing, system integration testing, and vehicle simulation testing of the testing platform. The test results of the testing platform verified that the system meets the design requirements. The use of the testing platform can shorten the research and development cycle, reduce research and development costs, and improve testing accuracy.

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.

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.

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.

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.

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.