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.

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.

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 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.

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.

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.

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.

To address the challenge of determining the weight matrix in the Linear Quadratic Regulator (LQR) algorithm for intelligent vehicle path tracking control, a LQR path-following controller based on genetic algorithm (GA) optimization is proposed. Firstly, a 2-DOF vehicle path tracking error dynamics model is established, and a LQR controller with preview is designed to calculate the optimal front wheel angle output of the vehicle; Then, for the determination of LQR controller parameters, a GA optimization strategy with vehicle lateral error, yaw error, and output front wheel angle as the objective function is designed. The optimization solution yields the optimal weight matrices Q and R; Finally, in the environment of MATLAB/Simulink and CarSim joint simulation, the tracking performance and robustness of LQR controller optimized by the genetic algorithm is verified. The results show that: under the double-lane-changing road and continuous lane-changing conditions, the optimized GA_LQR control vehicle’s lateral error peak value is reduced by 86.6% and 84.2%; the heading error peak value is reduced by 17.7% and 14.6%, respectively; the front wheel angle is smaller. The vehicle’s lateral and yaw tracking capabilities are enhanced as well. Moreover, the vehicle still exhibits good path tracking, speed tracking, and driving stability under different speeds on double-sine roads.

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.

With the innovation and development of new alloy materials, pressure casting technology with high product quality, precision, and productivity is widely used in the manufacturing of various automotive components. This article summarizes the principles, characteristics, processes, development status, and some methods for controlling defects in die-casting processes. The application and development of aluminum and magnesium alloy die castings in automobiles are reviewed, and some typical automotive aluminum and magnesium alloy die castings are introduced. The viewpoint that the application of aluminum and magnesium alloy die castings in automobiles has great significance in promoting automobile lightweight is proposed. Finally, the development prospects of die castings in the automotive industry are prospected.