Three types of IoV communication network test platforms of the 5th Generation mobile communication technology (5G), Enhanced Ultra High Throughput (EUHT) and Long-Term Evolution-Vehicle to Everything (LTE-V2X) are constructed based on the closed test field. And four test scenarios are designed, including the full-field performance test, dynamic and static performance test, Vehicle-to-Infrastructure (V2I) communication performance test and Vehicle-to-Vehicle (V2V) communication performance test. Communication delay, data packet delivery rate and throughput are used as evaluation metrics to verify and comparatively analyze the performance of the above three communication networks in typical application scenarios, such as varying communication distances, different vehicle speeds, V2I communication uplink, downlink and hybrid transmission, and end-to-end V2V communication in real-vehicle tests. Test results indicate that the three above networks generally satisfy the requirements of IoV applications in dynamic traffic environment, among which 5G demonstrates the superior performance, followed by EUHT, but in terms of deployment cost and complexity, LTE-V2X has a significant advantage.

To enhance the safety and reliability of autonomous driving in mainline logistics, this paper summarizes the testing requirements for the mainline logistics autonomous driving system from three aspects including equipment operation, system functionality and overall performance testing. Additionally, a testing plan for the mainline logistics autonomous driving transportation system is designed, encompassing four key stages: preliminary testing, Software-in-the-Loop (SiL) testing, system basic functionality and performance testing and system operational efficiency testing and evaluation. The preliminary testing serves as the foundational task of the testing plan, verifying the basic operational conditions of the trunk logistics autonomous driving transportation system. Following the completion of preliminary testing, SIL testing will be conducted in specific scenarios. System testing will then realize the integrated system’s functionality and performance test in actual operational scenarios. Finally, the system operational efficiency testing and evaluation framework will guide the assessment of the system’s efficiency during real-world operations.

In response to the difficulty of silicon-based Insulated Gate Bipolar Transistor (IGBT) in meeting the high power density, low conduction loss and high heat dissipation requirements of electric vehicles, this paper reviews the latest research progress on Silicon Carbide-Metal Oxide Semiconductor Field-Effect Transistor (SiC-MOSFET) for automotive applications. By summarizing the characteristics of SiC-MOSFET in the application scenarios of electric vehicle traction inverters, DC/DC power converters and On-Board Chargers (OBC), this paper analyzes the current technical challenges of SiC-MOSFET in terms of cost, reliability as well as heat dissipation, and explores their future development trends in miniaturization, advanced packaging, multi-chip integration and cost.

In order to calculate power loss of switching power supplies of high-performance chip in automotive centralized domain controller, this article analyzes the on and off processes of Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET), theoretically analyzes and derives formulas for the MOSFET losses of Buck type switching power supplies, and focuses on example calculation and simulation verification of the switch losses. The calculation and simulation results tend to be consistent, which can be used as a reference for hardware design engineers when selecting switch power MOSFETs.

In order to enhance performance of visual perception system object detection model in complex environments such as lighting variations, blur, noise, and occlusion, this study investigates the performance variations of object detection models under different complex scenarios using YOLO 11x and data augmentation techniques. The results indicate that various environmental disturbances have distinct impacts in model perfprmance, with Gaussian noise and motion blur having more pronounced impacts, while brightness adjustments and random occlusions are relatively less disruptive.

In order to improve performance of automatic emergency braking (AEB) system, this article firstly analyzes the data from road traffic accidents, and concludes that the collision frequency and accident fatality rate are higher when the electric two-wheeler drives head-on when the motor vehicle turns left, then summarizes this accident scene as a typical application scenario of AEB system. The PreScan-MATLAB-CarSim active safety simulation test model is built using real vehicle parameters and the technical parameters of the sensor, and the type, number of the sensors and cameras needed and reasonable range of emergency braking parameters are determined by simulation. Finally, driving robot and small-sized bearing robot are employed to build an accident test scene, and the AEB parameter matching and simulation parameter verification are completed. The results show that the parameters can satisfy the requirement of development.

To effectively evaluate the fatigue life of in-wheel-motor-driven electric vehicle steering knuckles, virtual iterative analysis of suspension multi-body dynamics modeling and road spectrum signals is conducted based on the measured road load spectrum, form which the input file of steering knuckles load spectrum is obtained. Fatigue life analysis on the steering knuckle is conducted by combining the inertia release results, material S-N curve and Miner linear cumulative damage criterion, and Fatigue tests are conducted on the steering knuckles for verification. Findings from both simulations and experiments indicate that the primary fatigue risk areas are at the interfaces between the steering tie rod and the lower shock absorber connecting rod. The steering knuckle design satisfies the requirement for a fatigue-free lifespan over a diriveing distance of 16×104 km.

For the additional fuel consumption and pollutant emissions caused by heavy-duty vehicle air conditioning, this paper analyzes the effects of turning on or off air conditioning on fuel consumption and pollutant emissions under different temperature conditions. Dynamometer test is performed based on China Heavy-duty commercial vehicle Test Cycle (CHTC). The test results show that the additional fuel consumption of the air conditioning is about 7% under high temperature, 5% higher than that under normal temperature. The larger the weight of a heavy-duty vehicle, the smaller the impact of the air conditioning system on fuel consumption. Turning on the air conditioning can reduce NO_x emission, and NO_x emission under high temperature is lower than that under normal temperature. Turning on the air conditioning will cause an increase of Particle Number (PN) and CO₂ emissions.

This review aims to delve deeply into biomechanical properties, biomechanical testing methods and injury biomechanics of brain tissue, it aggregates the research contributions of scholars worldwide to analyze the material mechanical testing approaches and biomechanical features of brain tissue. Also, the constitutive models and material properties used for brain tissue simulation of the head finite element model in the published literatures are summarized in this paper. These insights serve as a valuable reference on development of head finite element models, and also provide a certain basis for investigating of the injury mechanism and prediction of brain tissue.

In order to study the non-contact injury of occupant in front collision in wide-angle sitting, the sled tests is conducted by adjusting the backrest angle and seat cushion angle, and using the airbag inflation delay and the enveloping type airbag. The results show that the risk of brain tissue shear failure, neck bending moment injury, heart aorta rupture and thoracic vertebral compression rupture increases in the occupants in wide-angle sitting，which cannot be effectively solved by timely inflation of airbag and enveloping airbag. It is further pointed out that it is a research direction to adopt the combination of timely inflation of front airbag and knee airbag according to the occupant's sitting posture sitting in front seat for the occupant in wide-angle sitting.