Through the literature review of PID control, robust control, sliding mode control and model predictive control, the characteristics of each method’s application in autonomous driving are analyzed. PID control is simple to implement but limited in complex environments. Robust control can deal with uncertainty and interference, but the design tends to be conservative. Sliding mode control offers rapid response and strong resistance to disturbances, yet it may cause chattering issues. Model predictive control provides precise trajectory optimization which requires high computational resources. The study shows that PID control is suitable for simple environments, robust control is suitable for situations requiring high stability, sliding mode control is applied to tasks that require for rapid adjustments, and model predictive control is suitable for scenarios that demand high precision. Future research will focus on integratiing multi-strategy to improve performance, adapt to various working conditions, and ensure stability and accuracy. Moreover, it is also necessary to develop efficient real-time algorithms, combine machine learning to enhance adaptability, improve control efficiency and reliability, and achieve accurate path tracking.

To address signal crosstalk and reflection phenomena caused by the wiring layout of automotive Printed Circuit Boards (PCBs), a simulation software Cadence is utilized to model the reflection phenomena of high-speed signal lines. The causes of signal reflection are analyzed, and impedance matching schemes for reflection are employed in the termination design. The effects of 4 different types of terminations, namely series termination, Thevenin termination, RC termination, and diode termination, on the signal quality in transmission lines are compared. Additionally, enhancements are made to power integrity through optimized power plane design, which significantly enhances the Electromagnetic Compatibility (EMC) performance of the PCB. The study demonstrates that signal integrity, power integrity, and electromagnetic interference are interrelated and mutually constraining. Conducting reliability designs for these 3 aspects by combining stimulation data can significantly improve the EMC performance of PCBs.

In China’s road freight market, there exists the issue of decentralized transportation capacity, requiring online freight platforms to allocate logistics tasks according to travel preferences of freight operators and optimize the matching of vehicles and goods. Thus, a data-model collaborative-driven classification method for truck logistics patterns is proposed. Firstly, based on the truck trajectory data, 5 characteristic parameters including turning radius, activity entropy, average daily travel locations, average daily travel time, and average daily travel distance are constructed. After dimensionality reduction by Principal Component Analysis (PCA) and clustering by K-Means Cluster, trucks are categorized into 3 types of logistics patterns: long-distance round-trip, short-distance fixed-point, and short-distance multi-point. Secondly, the network motif identification technology from graph theory is introduced, generating a directed logistics network from truck OD data, using the DotMotif Algorithm for motifs recoginition and selecting p-value to test the significance of motifs. Finally, by deeply analyzing the connection between network motifs and the typical topological structures of truck travel chains, the differences in significant motifs within the logistics networks of different logistics modes of trucks are explained, verifying the accuracy of the the truck logistics pattern classification results.

Lightweight is one of the key technologies to improve the range of new energy vehicles. How to achieve a balance between cost and weight reduction is a challenge faced by major car companies. By collecting and organizing lightweight manufacturing, assembly, and design technologies, feasible technical solutions are explained through examples of typical parts in the body, interior and exterior decorations, chassis, and three electrical fields. Research suggests that lightweight materials and component structure optimization are generally used to achieve light weighting. Among them, steel aluminum hybrid body, integrated die-casting, and component integration design are currently hot topics and also the direction for the development of vehicle weight reduction technology.

Safety reliability, and driving range are critical considerations that impact consumer decisions in the electric vehicle market. Battery capacity and safety serve as principal metrics for evaluating the dependability of electirc vehicles. In order to enhance the battery capacity and safety reliability of electric vehicles and consolidate China’s leading advantage in new energy vehicles, this paper conducts a comparative analysis of the features of liquid and solid-state batteries of electirc vehicles, delineates the benefits and technical pathways of solid-state batteries, and identifies the challenges and strategic solutions in the advancement of solid-state battery technology. The paper concludes with an analysis of the capacity planning for the commercial deployment of solid-state batteries, offering insights for further research in the field.

A redundant braking system composed of an Integrated Electronic Control Brake System (IBC) and a Redundant Brake Unit (RBU) has been proposed. Firstly, the working principle and modes of the IBC+RBU system are analyzed. Then, the pressure control of the RBU is implemented based on the Hardware Abstraction Layer (HAL) module. Next, a control strategy for the IBC+RBU to take over Level 3 autonomous driving is developed, and the Anti-Lock Braking System (ABS) is controlled based on the RBU. Finally, a Hardware-In-the-Loop (HIL) test bench is set up for HIL testing and verification. The research results indicate that the current system has the basic capability of redundant brake control which can ensure the reliability of redundant takeover and the stability of redundant brake control, and can meet the fundamental functional and performance requirements of Level 3 autonomous driving.

In order to meet the requirements of vehicle quality and safety, and reduce the complexity and Research and Development(R&D) cost of implementing quality and safety process system, this paper discusses the method of integrated implementation of Automotive Software Process Improvement and Capability Determination(ASPICE), Functional safety, Safety of the intended functionality, Security and other R&D systems based on the whole process of automotive software development. A fully integrated research and development system method based on the quality and safety requirements of intelligent networked vehicles is proposed. It reduces the difficulty and cost of quality and safety development of intelligent networked vehicles.

In order to enhance the vehicle’s maneuverability and steering flexibility, a literature review is conducted to analyze the structures, technical applications, and controlling schemes of four-wheel steering systems, and summarize the main research methods and application outcomes of automotive four-wheel steering technology. Currently, the developement of automotive four-wheel steering systems is characterized by electrification, intelligence and integration. The four-wheel steering system is transitioning from the classic mechanical passive structure to a more mature electric active four-wheel steering structure. The control schemes for four-wheel steering systems have evolved from single-performance four-wheel steering control technology towards more complex multi-system integration and active fault-tolerant control technology. In the future, electrification, modularity, precision, speed,and safety-reliability are trends for advanced four-wheel steering systems, which are also effective ways to enhance the vehicle maneuverability and steering flexibility.

In order to optimize the structural design of laminated forked contact, the stress of laminated forked contact is studied, and the coupling relationship between the structural parameters and the stress of the contact is analyzed as well. The mechanical field simulation analysis is conducted using COMSOL to simulate the stress field distribution, insertion force variation during the insertion process, and contact pressure between the contacts. Theoretical analysis reveals that the contact pressure and insertion force are directly proportional to the elastic modulus, cross-sectional moment of inertia, and material interference. The stress concentration area of the laminated fork-shaped contact component is located at the inner side of the root of the fork spring. In the future, targeted optimization of the above structural parameters can improve the contact performance between contacts.

To enhance data security management in the automotive industry and establish a robust industry-wide data security management system, this paper analyzes policies, standards, current state of data security and the compliance of enterprise data security. The following issues are identified: multiple layers of data regulation lacking effective coordination, inconsistent standards and specifications, a weak supply chain protection system, and a shortage of specialized talent. In response to these challenges, the following development suggestions are proposed: Establish a comprehensive regulatory mechanism for data security in the automotive industry. Clearly define the boundaries of responsibility for different processing entities. Accelerate the classification and grading of data, as well as the management of critical data. Enhance data security management and risk prevention awareness and capabilities throughout the entire industry chain. Strengthen the training and development of professionals specializing in comprehensive industry data security.