To address the issues of poor tracking accuracy and driving stability caused by uncertain model parameters, modeling errors, and external disturbances, this paper proposes a motion control method for intelligent vehicles based on horizontal and longitudinal dual preview PID compensation. Firstly, an LQR（Linear Quadratic Regulator lateral motion controller is established using a path tracking error model to address angle compensation. This is achieved through a lateral previewing PID controller, utilizing the lateral deviation of the preview point as input. Secondly, a longitudinal motion controller is designed based on model-independent fuzzy theory to track vehicle speed. A previewing PID controller is established to compensate for vehicle speed using the longitudinal deviation of the preview point as input. Finally, the proposed method is validated through simulation under with uniform accelerated double lane shift. Simulation results demonstrate that the intelligent vehicle motion controller based on horizontal and longitudinal dual preview PID compensation achieves higher tracking accuracy and driving stability under conditions of high speed and large curvature during double lane shifts.

When using the Random Forest (RF) algorithm to estimate the road adhesion coefficient, there are issues such as insufficient optimization of feature selection during model construction and insufficient diversity in the ensemble of decision trees. To address this issue, a method based on Particle Swarm Optimization (PSO) algorithm to improve RF is proposed, and the algorithmic process is presented. An RF model for estimating the road adhesion coefficient is established, and the PSO algorithm is used to optimize the parameter configuration of RF, including key factors such as the number of features of each tree and the number of trees, so as to enhance the diversity and generalization capabilities of the model. At last, a joint simulation model is built on the MATLAB/Simulink platform for experiments. The comparative experimental results show that the random forest road adhesion coefficient estimation method based on PSO-RF can overcome the limitations of the traditional RF methods, and both the estimation accuracy and stability have been significantly improved.

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.

Aiming at the Electromagnetic Interference (EMI) caused by DC/DC converter in switching power supply, the electromagnetic interference source of DC/DC converter is proposed and analyzed, and the EMI propagation path generated by the converter is constructed. The conducted interference under the influence of pure circuit and Printed Circuit Board (PCB) is compared and analyzed, and the measures of adding Π filter to suppress the electromagnetic interference of DC/DC converters are proposed, and the simulation of CST software is used to verify the suppression results. The results show that the suppression method proposed in this paper can effectively suppress the electromagnetic interference of switching power supply.

In order to explore SOA architecture development methods and processes,through method research, process analysis and development practice, a software component development method under the framework of service-oriented architecture is proposed, and the software component development process conforming to AUTOSAR specification is analyzed.Based on the proposed method and process, the development practice from requirement analysis, service design, architecture design, application development, software integration and testing is given.The application proves that this development method is helpful for Oems to realize the integration and reuse of software modules more efficiently, with good iteration and expansibility.

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.

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.

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.

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.