In high-speed digital circuits, electrical signal crosstalk is one of the main factors affecting signal integrity. The theoretical model of the near end electrical signal crosstalk noise and the far end electrical signal crosstalk noise is established in this paper, and some parameters affecting electrical signal crosstalk are simulated by using the signal integrity simulation tool HyperLynx, such as the distance between aggressor line and victim line, the coupling length, the thickness of dielectric layer from the signal line to reference plane and the rates of rising as well as falling edges of signals. The simulation results show that the reasonable design can effectively suppress the electrical signal crosstalk and improve the signal integrity of the circuit.

In order to intuitively evaluate the driving control performance of the vehicle based on the actual travel scenarios of Chinese consumers, this paper proposes a driving control performance testing and evaluation method. According to Chinese road conditions, combined with engineering experience and national standards, driving control performance test conditions and the evaluation indexes and weights in the test conditions are selected. Three vehicles are selected for the road test under the test conditions, and obtain the index limits through data analysis. The results show that the driving control performance scores of the three vehicles are related to the level and energy type of the vehicle，are consistent with the subjective driving experience. It indicates this driving performance testing and evaluation method is feasible and accurate, and can be used for strategy calibration and validation evaluation of the entire vehicle driving performance for engineering samples in the development or validation stage.

To further enhance the performance and technology development of V-type engines in China, technical evolution on combustion formation, intake and exhaust management, efficient turbocharging, fuel injection, cooling and lubrication are analyzed by summarizing the researches of V-type engines of BMW, Mercedes-Benz, Audi, and FAW Hongqi. Meanwhile, the future development directions and strategies for the V-type engine industry and its key technologies are proposed, by fully considering the needs of carbon peaking and carbon neutrality.

To explore the key technologies and challenges associated with Steer-By-Wire(SBW), this paper offers a comprehensive review of the automotive steering system’s evolution, analyzes the advantages of SBW over traditional steering system, and examines the current research and application landscape across the globe. This paper analyzes 3 key SBW technologies including road feel feedback strategy, steering execution strategy as well as redundant strategy, and summarizes the significance of SBW for autonomous driving technology, technical challenges under complex working conditions and the low-cost challenge of mass production. Looking ahead, SBW is poised to become an integral part of the wire-controlled chassis, where it will enable holistic control of the vehicle’s vertical, longitudinal, and lateral movements.

In order to adapt to the development trend of software-defined vehicles and solve the problem of service-oriented architecture, the application steps and advantages of SOA in the automotive industry is first summarized. Secondly, taking the development of software architecture of automatic emergency braking system as an example, a VSOA implementation route and an implementation route requirement analysis process are proposed. Furthermove, the service division principle is analyzed, which guides the establishment of service logic architecture and software architecture. Finally, according to the service logic, software architecture and the perspectiveness of architecture, a domain-centralized hardware communication architecture is established, which aims to promote the understanding and application of SOA in automotive electronic software development, so as so provide useful experience and guidance for the realization of more flexible and scalable automotive software systems.

As the trend of digital intelligence advances, using tool chain to develop vehicle architecture has become the key to the intelligent transformation of traditional automobile enterprises，through literature research, practical exploration and other ways，develop examples in conjunction with centralized SOA architecture projects，This paper studies the use of EA and PREEvision tool chain to carry out intelligent transformation practice of architecture design， describes the application of relevant tools in the design of vehicle functional architecture and software architecture. At the same time, according to the problems existing in the application process of the tool, the secondary plug-in development is carried out to solve the bottleneck in the architecture design process. The case practice shows that the above two tools can effectively cope with the intelligent transformation of vehicle E/E architecture design and improve the research and development efficiency.

To adapt to the increasing trend of the size of the central control screen in passenger car cockpit and enhance the Human Machine Interaction (HMI) experience level of the central control screen during the design phase, this paper takes the layout design of the intelligent cockpit and central control screen as the research object and sorts out the development status of the intelligent cockpit as well as the problems of the central control screen existing in the current HMI. The paper analyzes the cockpit function, component selection, conceptual layout，central control screen layout design, and HMI design in detail based on multi-mode and multi-scene, with a focus on the virtual analysis of Ramsis, Speos and Protopie for the central control screen. To verify the practicality and feasibility of the proposed scheme, the Seating Buck model and production status sample vehicles are used to complete the central control screen usability evaluation.

In the early stage of design and development for a model of Hybrid Electric Vehicle (HEV), the simulation software is utilized to simulate and study the vehicle performances. This paper elaborates the powertrain structure of HEV and the powertrain system functions, driving operation modes and control strategies of HEV are analyzed. Based on simulation software of AVL CRUISE, the whole vehicle and powertrain models of HEV are built. The simulation and analysis of the dynamic performance and economy of HEV are carried out. The simulation results show that HEV performances and functions are met with the design specification, which provide basis for test verification of further development.

Digital key is a typical application of the Internet of Vehicle (IoV). With application of smart phones to replace the traditional smart key, a set of vehicle, smart phone, cloud integrated security standards system is established, through wireless communication media to establish the connection between the smart phone and the vehicle, so as to achieve vehicle control, intelligent sharing, remote parking and other high value-added applications. In order to ensure digital key function qualification rate on the vehicle off the production line, it is necessary to design a set of offline detection scheme, to do the whole process of functional and safety verification for hardware and software. Therefore a set of digital key production offline detection system was built, based on the upper computer and security service cipher machine, the design and detection execution process of the system was verified and elaborated in detail.

In order to fully understand the research methods and current status of deep learning-based trajectory prediction of intelligent vehicles, through the analysis and summary of existing literature, the input representation, output types, and prediction methods of deep learning-based trajectory prediction models are analyzed. The results show that trajectory prediction methods based on deep learning demonstrate outstanding performance in long-term, multi-modal motion and vehicle-road interaction scenarios.