In the early development of vehicle body controller functions among domestic automobile manufacturers, usually texts were used to describe the system design. The dependency between various functions was blurring, and hardly to reuse. With the increasing demand for the number of functional requirements, in order to improve the reuse rate of various functions, Service-Oriented Architecture (SOA) solution is proposed in the industry. This paper excavates the design methodology knowledge of SOA architecture, summarize the practical experience of the design and development of the ambient light subsystem in the body control domain of Voyah automobile SOA platform, expounds the method of using Enterprise Architect (EA) software to complete the design of the system in the body control domain, deliver the development requirements documents and the system functional specifications, so as to achieve the purpose of improving the design efficiency and improving the design quality.

High voltage relay as a protective switching device is one of the important devices for electric vehicles, to better evaluate its application condition and reliability becomes particularly important. Based on the application scenario requirements and the technical status of high voltage relay in the current multi-in-one integration trend of pure electric passenger vehicles, the technical requirements of high voltage relay should be studied. Through actual investigation and research, literature collection and application case analysis, the application conditions of high voltage relay are summarized and analyzed in detail. On the basis of the existing technical requirements of high voltage relay, In this paper, it is proposed that the contact state of high voltage relay should be evaluated in depth, and some suggestions are provided for the application of high voltage relay for pure electric passenger vehicles.

As an important part of automated driving vehicles, trajectory planning is the key to affecting the level of unmanned intelligence. The trajectory planning methods of automated driving vehicles in the past 10 years are summarized and classified into 5 categories: graph search, sampling, mathematical optimization, curve interpolation and machine learning. Each kind of algorithm is described in detail, the application of the algorithm in the actual scene is elaborated and its advantages and disadvantages are analyzed. Finally, the existing problems and challenges are pointed out, and the future research directions are briefly analyzed.

In order to realize carbon neutrality of automotive engine, a new methanol engine concept and framework with the master cylinder and auxiliary cylinder working cooperated with each other is proposed, it integrates internal combustion Rankin cycle, charge transit between cylinders, store energy in gas and fuel reforming technologies. The literature research method is used to analyze the thermo-chemical reforming process of methanol in the activated atmosphere of exhaust gas. With internal Exhaust Gas Recirculation (EGR), the methanol is reformed to H₂, CO and CH₄ in the main cylinder to realize the mixture combusts in fusion of methanol and hydrogen. At the same time, the heat of exhaust gas, absorbed by the methanol, is converted into methanol combustion energy. The exhaust gas of the master cylinder is introduced into the auxiliary cylinder to continue combusting. The auxiliary cylinder not only continues the combusting of the master cylinder, but also acts as the post processor of the master cylinder combustion，and the combustion energy is recycled in multiple stages, so as to achieve efficient and clean combusting of the engine.

With the rapid development of domestic economy, there are more and more heavy duty trucks in China. However, the blind area of heavy duty trucks caused a great loss of accidents, among which the right turn blind area is main reason for the accident. In order to reduce the accidnets caused by right turn blind area and provide a solution, under the premise of using AI technology automatic control system, without the traditional way of alerting drivers only by buzzing alarm device. In this paper, a system that contains a millimeter radar and dual voice system aims to warn pedestrians and drivers of impending traffic accident and reduce the probability of accident.

Technologies of Hybrid Electric Vehicle (HEV) are key part of technologies for automotives to realize fuel saving targets for 2025 and 2030, therefore it is essential to comb the technologies and obtain deep insight in HEV.Based on the study of the whole life cycle carbon emission management, the direction of energy-saving vehicle hybrid technology is proposed. Combined with the latest research results of the industry, this paper aims to sum up the vehicle fuel consumption reduction target and realization technology path. In the process of vehicle fuel saving analysis, through the establishment of P2.5 single-motor hybrid, series dual-motor hybrid, single-gear hybrid dual-motor hybrid and planetary hybrid dual-motor hybrid mainstream application scheme hybrid model, the fuel saving effect of each special hybrid transmission scheme is obtained. According to the actual hybrid special engine models with different thermal efficiency, the relationship equation between engine thermal efficiency and vehicle fuel consumption is established, and then the energy-saving vehicle technology scheme meeting 2025 and 2030 is obtained so as to provide a reference for the selection of vehicle technology scheme.

As a way to achieve carbon neutrality, hydrogen energy is an important component of the future national energy system, and it is necessary for the selection of hydrogen technology routes and the formulation of hydrogen energy development plans. In March 2022, China issued the Medium and Long-term Planning for the Hydrogen Energy Industry (2021-2035), which makes strategic positioning and overall requirements for the development of hydrogen energy from the national level. On the basis of grasping the content and development direction of China’s hydrogen energy planning, through the collection and research of literature, combined with the situation of fuel cell demonstration cities and hydrogen energy power technology routes, this paper analyzes the development route of China’s hydrogen energy industry, the degree of localization of key materials and components, elaborates the application and status quo of hydrogen energy in the field of transportation, and gives reasonable suggestions.

Intelligent and Connected Vehicle (ICV)-Road-Cloud collaboration is of great significance to the convergence and development of China’s intelligent vehicle transportation industry. In order to improve the application and operation standards of ICVs and enhance the technical implementation of intelligent assisted driving systems, this paper focuses on the working principles of the Intelligent and Connected Vehicle-Road-Cloud collaboration system framework and application architecture. Moreover, the research trends of key Vehicle-Road-Cloud technologies are analyzed, such as wireless communication technologies, fusion and positioning, testing and evaluation technologies of vehicles. The results of the analysis show that a new “Human-Vehicle-Road-Cloud” framework is needed to realize the development from single-vehicle intelligence to Vehicle-Road-Cloud collaboration technologies, and breakthroughs in cloud collaboration control models are urgently needed. The results of the study are beneficial for promoting the research of Vehicle-Road-Cloud collaboration in ICV, advancing the innovation change of ICV and providing technological reference and development direction.

In order to further improve the safety and stability of the driving process, reduce man-machine conflict, and realize the hybrid enhancement of man-machine intelligence, man-machine collaborative control has become an insurmountable key stage of automobile intelligence. On the basis of summarizing relevant literatures on man-machine cooperative control, according to the development history of Advanced Driver Assistance Systems (ADAS), the functions and key technical issues of various assistance systems in man-machine cooperative control system are summarized, and the deep man-machine interaction mode and research status in man-machine cooperative control system are analyzed. The shortcomings of current research and the key issues that should be paid attention to in future man-machine cooperative control research are summarized.

With the development of big data, in addition to the needs of business functions such as vehicle information and record forwarding, the monitoring of vehicles also requires analysis and statistics of real-time vehicle data. In order to solve this problem, a fusion model scheme is proposed that combines the business platform and the algorithm platform through the technologies of Java and Python integration. The Python script is called in the Java code through the command line, and an Application Program Interface (API) is provided externally for the business platform to call. The solution integrates the business platform and the algorithm platform, and at the same time, they are deployed as independent services, decoupled from each other, and better monitoring vehicle information, real-time data, fault information, and operating conditions. The design and implementation of the system are in line with the digital transformation needs of the vehicle industry in the era of big data. The technical optimization scheme of the vehicle monitoring system is proposed, and the technical design of the fusion model is elaborated in detail. The application of the fusion model in vehicle monitoring system is of great value to the intelligent development of vehicle industry.