The performance test of automobile safety belt is a national mandatory requirement. However, At present, there is a great deal of waste and non-standardization in all aspects of the testing processes, including aspects of personals, machines, materials, methods and the environment, resulting in inefficient testing and poor supervision of testing quality in the laboratory. The statistical analysis is carried out for current status in laboratory, the current value stream map of vehicle safety belt performance testing is drawn, the waste existing in each inspection process and the problem of unsmooth flow between processes are investigated. Under the guidance of lean thinking, a “pull testing” mode is established, the future map of value stream is drawn, and a value-added system is established. According to the requirements of the value added system and the future map of the value stream, improvement measures from 4 aspects are proposed, including on-site guarantee, quality guarantee, balanced detection guarantee and good external cooperation, realizing the balanced detection of automobile safety belt performance. Performance tests prove that, the testing period of single batch of samples is reduced from 37.8 days to 14.5 days, and the error rate of personnel remains below 0.1%.

This paper elaborates the importance of Data Virtual Review (DVR) in the research and development of automotive design, as well as the drawbacks of the widely applied shadow pre-baked rendering technology. The advantages of real-time rendering game engine UE5 utilized for automotive design DVR are elaborated, including better visualization effects, higher customization and rich multi-platform support. This paper also presents successful cases of applying Unreal Engine (UE) in automotive design DVR by Pagani, BMW Group and The Mill automotive advertiser, concluding the feasibility of using UE5 for automotive design DVR. Finally, based on years of experience in automotive virtual review, the factors that need to be considered are analyzed when developing a VR system for automotive styling review. UE5 blueprint system is applied to build User Interface (UI) and related functions assisted for automotive styling review, and pixel streaming technology is also utilized in UE to build an online review login interface, enabling reviewers to view automotive design data through mobile phones or computer websites at any time, thereby improving data review efficiency.

At present, the automobile industry is developing towards the trend of intelligence, the vehicle information entertainment audio system has become the focus of public attention. In order to improve the entertainment and functionality of vehicle audio playback system, an audio architecture design of vehicle infotainment system based on user experience is proposed, focusing on the hardware structure, the audio source classification design in detail and the mixing strategy design as well as implementation process are discussed. Through the vehicle infotainment audio playback system, multi-audio source mixed playback can be realized. The audio source gain reduction strategy based on user experience can effectively improve the entertainment and functionality of the vehicle audio playback system and improve user experience.

With the rapid development of chip technology, communication technology, and cloud computing technology, Human Machine Interaction (HMI) in automobiles is constantly developing towards greater diversity, intelligence, and personalization, resulting in the concept of multimodal fusion interaction. To process complex multimodal information and provide intelligent feedback to passengers, a multimodal Artificial Intelligence (AI) interaction model as the "intelligent" brain on cars is established. This article elaborates on a HMI solution that combines end-to-end cloud and multimodal fusion. On the basis of fully utilizing the advantages of AI technologies, the cloud computing power and vehicle computing power are effectively decomposed to achieve a set of multi-modal HMI application solution combined with cloud computing, vehicle assisted computing and execution based on AI.

The positive ergonomics development follows the principle of “people oriented, from inside to outside, inside and outside combination, distribution as a whole”. Based on the positive ergonomics principle to define the vehicle dimension chain, the man-machine’s operation for vehicle comfort, vision field security, instrument visibility performance and other vehicle performance can be achieved. Excellent positive ergonomics control strategy is beneficial to vehicle platforms and series development, which improve the competitiveness of products. In this paper, based on positive ergonomics,10 key dimensions of the vehicle control method and the X, Y, Z direction dimension chain control strategy are elaborated emphatically, so as to pave the basis for research and development of platform vehicle models.

Aiming at the management of vehicle power battery under the background of peak carbon dioxide emissions and Carbon neutralization, a new model of power battery life cycle management driven by twin data is proposed. A digital twin driven power battery life cycle management architecture is established, and the operation mechanism of the architecture is introduced in detail. Take twin data as the core, this paper aims to expound the application of digital twin technology in power battery from 6 scenarios that contains power battery design, manufacturing, using, remanufacturing, cascade utilization, recycling and regeneration. Moreover, the key technologies applied in it are analyzed. The research believes that the digital twin driven power battery life-cycle management can provide real-time feedback and guarantee for power battery manufacturing, operation, maintenance and provide a path for the global optimal solution of green low-carbon design, safe and efficient design of power batteries. By improving the design quality, it can effectively achieve a virtuous cycle of power battery life-cycle management. Although some key technologies need to be broken through, the application of digital twin technology in power battery life cycle management has a good prospect.

The research purpose of path algorithm is to ensure that the autonomous vehicle can accurately track the reference path given by the decision-making and planning layer and ensure the vehicle’s driving stability and riding safety in the process of path tracking. In recent years, the researches on path tracking control algorithms have been fruitful. Many scholars have optimized and innovated the existing algorithms, and a variety of path tracking control algorithms have been created, including system model, control theory, with or without feed forward information and driving conditions. By summarizing the research status of the accuracy and ride stability of the path tracking control algorithms, the coupling relationship between the 2 algorithms is analyzed, and various iterations of the old and new algorithms in the course of the path tracking control research are sorted out. The control strategy taking into account the accuracy and ride stability is proposed, and the future development trend of the path tracking control of autonomous vehicles is summarized.

Through numerical simulation and wind tunnel test, the influence of the rim opening ratio on the wind resistance of the vehicle under the wheel rotation condition is analyzed, and the recommended value of the rim opening ratio in design and development is given. Meanwhile, the correlation between the moment of ventilation resistance and the vehicle wind resistance is analyzed, and then the mechanism of wheel rotation drag reduction is analyzed. Analysis conclusions can be as following: (1) The simulation method of wheel rotation condition is credible by using the rotating wall method; (2) Under the wheel rotation condition, the smaller the opening ratio is more favorable for the vehicle wind drag reduction, and the difference of the vehicle wind drag coefficient between the rotating condition and the stationary condition will be reduced; (3) The greater the wheel ventilation resistance torque, the more conducive it is to reduce the wind resistance coefficient of the whole vehicle under rotation conditions.

In order to solve the problems of fast pace large-scale manufacturing and production for commercial vehicle products to meet use scenarios and user groups, with prominent personalized needs, this paper aims to use the concept of passenger vehicle platformization for reference and combining the attributes of commercial vehicle products through carrying out platformization and modular design from product planning. Taking the construction of a commercial vehicle platform as an example, this paper redefines the concept of commercial vehicle platformization, and briefly discusses the significance and role of commercial vehicle platformization and modular design. The process and methods of constructing commercial vehicle platform are elaborated, which provide bases for new platform building and new product development of commercial vehicles.

Sandwich structuresare widely applied in automotive lightweight, load-bearing and energy absorption structures. Different manufacturing processes make significant differences on the mechanical performance of sandwich core materials. The manufacturing technologies and development statuses of composite sandwich structures are reviewed in this paper. The structural characteristics, application scenarios and load cases of sandwich structures which are manufactured by interlocking method are analyzed and discussed in detail, it is found that this method has unique superiority. Finally, the development potential of interlocking method in the preparation of honeycomb structure is summarized, and its future development direction is prospected.