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.

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 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.

With the development of automotive electronics industry, AUTOSAR has gradually become the mainstream development architecture of Oems and parts suppliers, and is used in the development of vehicle domain controller application software. However, the development process of applying AUTOSAR to vehicle domain controller application software is not perfect, and there is a lack of general, comprehensive and efficient application software development method. To solve this problem, based on the basic theory of AUTOSAR, the system architecture and related interfaces of AUTOSAR are expounded, and the whole process of extracting data dictionary content from ARXML file, generating interface model, building control model, generating model code and releasing application code is proposed. The proposed development method of vehicle domain controller application software adopts mature development tools or automated scripts to realize each link, which ensures the universality of the method, can ensure the quality of software development, improve the efficiency of software development, and thus reduce the development cost.

Currently, foreign automotive control chips dominate the design and development of powertrain domain controllers. To address this technological bottleneck, there is a growing trend towards adopting domestically produced chips alongside domestically developed AUTOSAR operating systems. The research focuses on the application and optimization of data caching technology. In response to the challenge of cache data consistency encountered in the development of domestically produced chips, various mechanisms for data synchronization and optimization schemes for cache strategy have been proposed, effectively mitigating the risk of data inconsistency. Furthermore, by designing efficient data caching strategies, the instruction execution efficiency of the controller has been significantly improved, and experiments have been designed to verify these improvements.

Aiming at the problems of complicated and repetitive integration and testing which are inefficient in automotive electronics software development, a continuous integration system for automotive engine ECU software based on Jenkins is designed. This method combines Jenkins continuous integration technology and automotive embedded software development technology and connects development process nodes into an automated process which is called Jenkins-based electronics software continuous integration technology. The development process nodes include SVN software version management, HighTec integrated compilation, remote flashing of target ECU, software integration test and mail notification. This Jenkins system can substaintially shorten the development cycle of software iterative upgrades and avoid human integration operation errors.

The development of electric vehicles is crucial for addressing the energy crisis and environmental challenges. To analyze the key technologies and propose innovative directions for advancing new energy vehicles, this paper based on the “Energy-Saving and New Energy Vehicle Technology Roadmap 2.0,” provides an overview of the critical technologies and performance metrics of traction motors and motor controllers within electric propulsion systems. By examining the current status and challenges of these systems, the paper forecasts future development trends and proposes innovative directions in motor design, control algorithms, thermal management, and functional safety. These insights aim to contribute to the further development of electric propulsion technologies in China’s new energy vehicle sector.

In order to meet the system performance requirements, lithium-ion batteries usually need to be used in groups in practical use, but there are inconsistency problems between different battery monomers, such as internal resistance, voltage and self-discharge rate. These differences will reduce the energy utilization of the battery pack, service life, and may jeopardize the safety of the battery system. Equalization technology is an effective means to solve this problem. The principle of equalization is analyzed in depth, and common topologies of equalization circuits are introduced in detail. The development status of equalization technology is sorted out, and the advantages and disadvantages of existing equalization topologies are analyzed. At the same time, the new technologies and solutions ememerging in recent years are studied. On the basis of analyzing the difficulties existing in the current equalization technology, the direction of future research and development is proposed.

By introducing wireless charging into the field of electric vehicles, the convenience and safety of electric vehicle charging can be effectively improved, and users can complete charging without plugging and unplugging the charging gun, which greatly reduces the extra burden of charging on users. To address the complex application scenario involving multiple vehicles and multiple charging piles, a multi-to-multi wireless charging system solution based on central node architecture is necessary. First, the concept of a central node is introduced among the ground-side equipment, with the central node responsible for managing multiple ground-side devices. The central node communicates with these devices via the Controller Area Network (CAN), forming a local network. Second, the solution proposes a set of addressing and communication mechanisms within the local network to effectively manage the ground-side devices. Finally, in order to realize that the vehicle assemblies can recognize each other with any ground assemblies, this solution introduces a method to recognize the ground assemblies by detecting the ground coil current frequency.

To enhance the stability and reliability of automobiles while ensuring their safe and efficient operation, a comparative analysis is conducted on 5 representative 48 V power system solutions: PWM controller, switching power supply buck converter, switching power supply controller, LLC transformer, and entry protector power supply scheme. The solutions are thoroughly compared in terms of integration, complexity, cost, and other relevant factors. A systematic evaluation of their advantages, disadvantages, and application scenarios is performed to address the functional requirements of different vehicles in various operating environments. This analysis serves as a valuable reference for automotive researchers and developers in selecting the appropriate power conversion scheme and aligning it with vehicle models based on actual product application needs.