In order to study the seat safety of passenger cars in China, this paper analyzed the casualties of each seat in three collision modes based on China In-Depth Accident Study (CIDAS) (2011~2022) statistical data, calculated the fatal risk of passengers in the front and rear seats using the risk model, and used risk weighting model and geometric average model of the risk to calculate risk of each seat. The results show that the fatal risk coefficient of the front row is 1.18 compared with the back row. Taking the risk of 100% of the driver’s seat position as the reference standard, the risk of the passenger seat, the left rear seat, the right rear seat and the middle rear seat was 79.57%, 105.23%, 93.28% and 191.69%, respectively.

In order to meet the needs of charging safety, service experience of high-power DC charging piles and improve their power utilization, this paper proposes a flexible power allocation control strategy. Based on the topology of circular power allocation, the power allocation control timing and algorithm for charging start, charging in progress and release at the end are designed. The utilization rate of power nodes is improved by static and dynamic polling switching. To ensure stable operation of the system, the definition of minimum remaining required power is introduced, and the difference in remaining required power, the number of switching times in a single insertion gun, and the filtering time are comprehensively judged to avoid frequent switching. Verification result shows that this strategy can improve average power utilization rate from 1.76% to 2.24%, demonstrating significant optimization effect.

This paper takes the autonomous driving scenario library as the research object,and by analyzing shortcomings of autonomous driving scenario library and industry demand, and formes a set of operation guidelines for autonomous driving scenarios construction based on real world traffic data. Firstly, the elements and formats of autonomous driving scenarios have been illustrated and standardized. Secondly, scenario datasets are generated by a three-step procedure, including scenario mining, automated annotating and data compliance desensitization. Finally, a set of safe, compliant, high-quality, and high-value city level challenging autonomous driving scenarios was ultimately formed by risk assessment of real collection scenarios and standardized processing of abnormal events.

The noise source and the noise transmission of the compressor NVH problem of the electric vehicle heat pump system are studied, and the improvement is made by optimizing the internal structure of the electric compressor, increasing the acoustic package and optimizing the air conditioning pipeline. The NVH test results show that the internal structure optimization can reduce the vibration excitation noise of the electric compressor while the addition of acoustic package and air conditioning pipeline optimization can reduce the compressor noise transmission. These enhancements contribute to a reduction in the noise level of the heat pump system during operation and the NVH performance of the vehicle.

To establish an effective electromagnetic radiation simulation prediction and design capability during the vehicle design phase, this paper investigates the generation mechanism of electromagnetic radiation from power cables in the motor drive system based on electromagnetic wave radiation theory, and proposes a vehicle finite element model for electromagnetic compatibility simulation. An electromagnetic interference model is built to simulate and predict the electromagnetic radiation emitted by the power cables. The accuracy of the model is validated by comparing the simulation results with actual measurement data. Utilizing this simulation model, the cable layout is optimized, thereby reducing the intensity of interior electromagnetic radiation. The findings indicate that this approach can identify the electromagnetic radiation risks associated with high-voltage cable routing during the design phase, thus avoiding costly modifications in the prototype testing stage. Furthermore, this method contributes to shortening the vehicle design and development cycle while reducing testing costs.

To address the scarcity of multi-source heterogeneous data and insufficient scenario adaptability in current perception algorithm training and testing of autonomous driving, a typical scenario-based multimodal perception dataset is constructed. It contains 10 specific typical scenario segments, covering multimodal sensor data from LiDAR, cameras, and 4D millimeter-wave radar. The dateset provides annotation information for six categories of targets and offers detailed descriptions of data acquisition device configurations, including sensor parameters, calibration data, and a time synchronization processing scheme. By delivering scenario-specific driving context, the constructed dataset enhances perception accuracy in complex environments, thereby improving the safety and reliability of autonomous driving systems.

This paper systematically sorts out the generation methods of simulation test scenarios for autonomous vehicle, summarizes the latest research progress in the fields of autonomous vehicle simulation test scenario definition, scenario deconstruction, scenario generation based on data driven, and scenario generation based on mechanism modeling, and summarizes the relevant evaluation and application of test scenarios. Finally, the paper proposes that future research should focus on integrating the characteristics of Chinese driving scenarios, deepening the research on edge scenario generation strategies, and accelerating the construction of the standard system of scenario construction.

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.

Firstly, the typical environment of power battery affecting the balance of air pressure inside and outside the pack were analyzed in the paper. Secondly, the operational principle of waterproof breather valve was explained, the waterproof breather valve was selected and calculated according to the requirement of amount of breather air and explosion-proof pressure under typical condition. Finally the “condensation” phenomenon caused by the application of breather valve was discussed and tested in typical environment. The results show that the application of breather valve on the power battery pack will not cause water accumulation in the pack due to “condensation”, which will affect the high-voltage insulation in the battery pack, proving the feasibility of application of waterproof breather valve in the power battery design.

A diagnosis device is designed, which can diagnose vehicle state through standard port of the On-Board Diagnostics Ⅱ (OBD Ⅱ). Its software is designed based on STM32 single chip microcomputer, the physics layer communicates with vehicle gateway via CAN, the communication standard abides by the Unified Diagnostic Services (UDS) protocol and operates in three modes, i.e. communication with cell phone via Bluetooth, communication with computer via serial port connection, and operate offline via command memory. The embedded software is developed by hierarchical architecture based on C programming language.