Focusing on the application of the non-metallic painting process of automotive exterior parts, this paper introduces the principle of the non-metallic painting process, the constitute of the non-metallic painting production line, the classification of paint materials and the development trend of the non-metallic painting process. The non-metallic painting process is a common surface treatment method for non-metallic parts. With the help of automatic painting robots, the surface of exterior parts is treated according to design requirements. The functions of paint are mainly divided into 3 categories: protection, decoration and function. The functional requirements of exterior decoration parts are stricter. In addition to meeting the thermodynamic performance, they also need to have excellent UV resistance and corrosion resistance. The research trend of paint materials is to study a new type of paint integrating environmental protection, decoration and performance in use. The development direction of the non-metallic painting process refers to intelligent and environmentally friendly.

The integrated die-casting technology for new energy vehicles has led the innovation in vehicle manufacturing processes. To address the dual objectives of vehicle lightweighting and cost control in new energy vehicles, the crucial role of aluminum alloy materials in the process of automobile lightweighting is elaborated. It dissects the principles, benefits, and drawbacks of the integrated die-casting process, alongside its current adoption in both domestic and international contexts. The paper also delves into the technological challenges in material development and process innovation within integrated die-casting. Additionally, feasible suggestions for the development and application of integrated die-casting technology are put forward, aiming to promote the widespread application of aluminum alloy materials in automobile manufacturing and provide powerful references for the lightweight, energy-saving, and environmentally friendly development of the autombile industry.

In order to overcome the challenges of traffic sign detection and recognition, such as small targets, diverse sizes, difficulty in obtaining relevant feature information, and susceptibility to complex background interference, traffic signs are detected and recognized. a deep learning method for traffic sign detection and recognition is proposed based on the YOLOv5s network. Addressing the issue of current traffic sign recognition algorithms struggling to identify small targets in complex backgrounds, we have integrated a shuffle attention mechanism into the C3 layer at the end of the YOLOv5s backbone network. This integration introduces a traffic sign detection and recognition algorithm that relies on an attention mechanism. This enhances the ability to focus on key areas and effectively eliminates background noise interference. To address the limitations of feature fusion in current object detection algorithms when dealing with traffic signs of varying sizes in images, we propose a weighted feature fusion network algorithm. This algorithm performs weighted fusion of shallow feature maps containing rich semantic information in the backbone network with medium and large target detection layers, enhancing the fusion ability of multi-size features. Experimental results on the traffic sign detection dataset CCTSDB 2021 show that the enhanced algorithm achieved a 0.5 percentage points increase in precision, a 3.6 percentage points increase in recall, and an average precision improvement of 2.8 percentage points compared to the original YOLOv5s method. Additionally, the detection speed reached 123.46 frame/s. Therefore, the proposed algorithm effectively enhances the accuracy of traffic sign detection and recognition while maintaining a original detection speed.

In order to fully exploit the lightweight potential of micro-foaming process in parts of passengercar, the principle, application and prospect of micro-foaming process are analyzed. At present, some interior and exterior parts of passenger cars can be molded by this process, such as instrument panel skeleton, door guard plates, engine decorative covers, etc., which can realize 5%~20% weight reduction of passenger cars and perform good dimensional stability with no need to modify the mold repeatedly.

Through literature review, the advantages of military hybrid electric vehicles are summarized, the performance and characteristics of advanced military hybrid electric vehicles at home and abroad are compared and analyzed, and the common problems of military hybrid electric vehicles are sorted out: the safety of the battery cannot be guaranteed, the life of the motor is susceptible to harsh environment, and the cost is high. Looking forward to the development trend of military hybrid vehicles, the results show that the performance of military hybrid vehicles will be more balanced in the future, the tandem configuration and electric wheel drive are the future development trends, and unmanned ground vehicles will play an important role in the future military field.

The P2 hybrid system is a mainstream technical solution to realize eletrifcation for traditional longitudinal vehicles, with the advantages of low fuel consumption and long driving range. This paper combines the vehicle simulation analysis and big data statistics of different vehicle working conditions to compare the working characteristics of the P2 hybrid system and the fuel saving effect under different driving conditions so as to provide some references for the development of P2 hybrid system. The fuel efficiency of P2 hybrid vehicles is closely related to the actual driving conditions of users compared to traditional fuel vehicles, and has obvious fuel saving advantages in urban congested road conditions. However, the P2 hybrid system has a higher cost and does not have an advantage in terms of user usage cost.

In order to solve the problem that the lithium-ion batteries’ charging capacity decreases in cold environments, this paper analyzes the low temperature charging methods of lithium-ion batteries, and studies the impact of the differences in charging methods of lithium-ion batteries for pure electric vehicles at low temperatures on the battery temperature rise rate, and puts forward suggestions on improving the low temperature charging rate of batteries and the low temperature charging capacity of pure electric vehicles.

This article analyzes domestic policies and standards in depth, summarizes typical scenarios in testing requirements, explores process planning methods for intelligent networking test sites based on the development of existing products at both ends of the vehicle and road, analyzes component elements such as scenario layout, test zoning, and road type, and provides technical ideas and planning references for the planning and construction of intelligent networking test sites.

The Intelligent and Connected Vehicle (ICV) is a key field of innovation and development of domestic and international technology industry, and has become a major strategic direction of global automobile industry development. Taking the policy management and industrial layout of Japan’s intelligent connected vehicle industry in the past 10 years as the research object, the study summarizes the functions and responsibilities of the various management departments, the layout of the industrial structure and the level of technological development of Japan’s intelligent connected vehicle industry, and makes predictions on its future development focusing on trends by comparing the development progress of different applicable fields of its smart Internet-connected vehicles and taking the current social conditions of Japan as the reference object. It also proposes suggestions for the development of China’s intelligent connected vehicle industry.

This paper aims to study the causes, key influencing factors, and failure modes of fire accidents in new energy passenger vehicles from a holistic perspective, and to supplement the causes of fire accidents beyond battery-related issues based on user usage scenarios, and identify preventive solutions. In this paper, an in-depth statistical analysis is conducted on fire accidents involving new energy vehicles from 2021 to 2022. The user scenarios and the root causes of these fire accidents are summarized. The failure modes at a deeper level and the causes of some typical accident cases are analyzed. The prevention of fire accidents at the design level is discussed. Several solutions are provided, and discussions are held on the research direction of vehicle safety for new energy vehicles.