Thermal management is one of the key technologies of Proton Exchange Membrane Fuel Cell (PEMFC) vehicles, which affects the power performance, fuel ecomomy, safety and life of the vehicle. In view of the shortcomings of the traditional thermal management control strategy (on-off strategy), this paper proposes to maintain the inlet and outlet water temperature of the fuel cell system at the target value by controlling the fuel cell thermostat opening and fan speed. The multi-fan speed distribution strategy and control strategy of over temperature treatment, together with PID realize the rapid response of the thermal management system of the fuel cell system. The results show that, compared with the traditional on-off strategy, the optimized PID adaptive regulation strategy can quickly respond to the target operating temperature requirements of the fuel cell system, and enable the fuel cell to run at higher power under extreme working conditions. The battery system and vehicle performance have been greatly improved.

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.

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.

With the increasing level of vehicle automation, there is a growing demand for vehicles to autonomously perform obstacle avoidance in the field of autonomous driving. Therefore, to accurately, safely, and reasonably plan obstacle avoidance routes has become an important research direction in the field of automated driving. This paper elaborates the current research status of local path planning algorithms and their limitations in practical applications. Furthermore, the research status of improved path planning algorithms based on artificial potential field and sampling methods are reviewed in response to these limitations. The results show that this improved path planning algorithm performs well in experiments or practical applications and the path planning effect of multi-algorithm fusion is better than that of single algorithm in the future.

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.

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.

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.

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.