A study was conducted on the collision safety of passengers with “zero gravity” seats at different deployment angles. Firstly, a frontal collision model of the vehicle is established, and the seat angles were adjusted to standard posture, zero gravity sitting posture, and the backrest angle was adjusted to three different postures of 120°, 150°, and 180° based on the standard posture. Then, two collision speed curves of 40 km/h and 56 km/h were applied to the model, respectively. Simulation comparison shows that the injury values of the occupant's head, neck, and chest are the smallest in the standard posture. The injury values of the occupant's head and neck are the largest in the zero-gravity posture. The risk of chest injury increases with the increase of posture angle. The chest undergoes compression deformation, and the lungs are most susceptible to contusion, followed by the liver and spleen. The increase in the inclination angle of the passengers increases the risk of severe diving and “secondary collision” of the lower limbs.

Full Width Deformable Barrier (FWDB) finite element model is established according to the standard of EEVC-WG15, calibrated using the Transport Research Laboratory (TRL) trolley experiment method, and the Moving Progressive Deformable Barrier (MPDB) finite element model that has been calibrated and verified is used to build the MPDB and FWDB crash models of cars and SUVs respectively for the frontal collision compatibility study of vehicles. Compatibility evaluation indexes of MPDB and FWDB models are calculated, the analysis results show that the current MPDB conditions have some limitations on the evaluation of structural compatibility of vehicles, and cannot evaluate the role of the primary energy absorbing structure in the vertical and horizontal directions, and need to be combined with the compatibility evaluation indexes of FWDB conditions, VSI and HSI, to conduct an analysis in order to evaluate the frontal collision compatibility of the vehicle in a more comprehensive way.

This study aims to enhance the lateral stability of distributed drive electric vehicles when traveling on highways and low-adhesion roads by adopting a hierarchical control strategy. The upper level is the torque decision-making layer, which designs a hierarchical Sliding Mode Control (SMC) based on a two-degree-of-freedom dynamic model to optimize the additional yaw moment and introduces Active Rear-wheel Steering (ARS), while simultaneously using PID control to achieve vehicle speed tracking. The lower level is the torque distribution layer, which optimizes the distribution of driving torque among the four wheels based on wheel load and road adhesion coefficient. Through co-simulation using Carsim and Matlab/Simulink, the control effectiveness was verified under double lane change, different adhesion road surface, and slalom conditions. The results indicate that the SMC+ARS control maintains high stability under high-speed double lane change conditions and outperforms SMC under various adhesion conditions, while also reducing energy consumption during turning.

Based on the vehicle-vehicle oblique collision accident scenario caused by cooperative obstacle avoidance, this paper analyzes the displacement response and occupant injury. 2 variables are selected, namely the barrier residual vehicle speed and the collision overlap rate: 4 types of barrier vehicle speeds and 3 types of collision overlap rates are set respectively. The displacement phenomenon of occupants caused by cooperative obstacle avoidance and occupants injuries during the collision process are analyzed; the active pre-tensioning seat belt is matched and its restraint effect on the displaced occupants is analyzed. The results show that cooperative obstacle avoidance can cause obvious lateral displacement of the occupants, reducing the protective effect of the basic restraint system, especially for right-leaning seated occupants, the seat belt has completely detached from the occupants' shoulders. From the analysis results of the test matrix, the occupant will suffer the highest comprehensive damage when the collision overlap rate is about 30%. The restraint system equipped with active seat belt has good restraint effect on the displacement movement of the occupants during the cooperative obstacle avoidance process. The lateral displacement of the occupants is significantly reduced, and the comprehensive injury risk of the occupants decreases, whereas there is still a high risk of injury to the occupants' heads in the collision condition with a 50% overlap rate.

In order to predict the induction noise of commercial vehicles, a new 1-D simulation model of air compressor is proposed. The Compressor-Engine coupling simulation model can predict the frequency and amplitude of the noise at the main order accurately, and can both recognize the order noise from the air compressor and the engine in the meantime. The characteristic of compressor noise and the noise reduction method of compressor path are studied by this coupling model. The results show that the noise of the compressor has typical pulse noise characteristic. When dealing with this type of noise, the arrangement sequence of different types of mufflers will have a significant impact on the noise reduction effect.

By summarizing the laws, regulations and standards formulated in China and foreign countries during the development of intelligent and connected vehicles, this paper sorted out the standardization construction system of intelligent and connected vehicles, which included 4 parts: admission, term definition, testing system and accident liability of intelligent and connected vehicles. Through the interpretation of standards, the understanding of the evolution of relevant laws and regulations in the process of the transformation of traditional vehicles to intelligent and connected vehicles was deepened, the technical requirements and social problems faced by the current intelligent and connected vehicle industry were clarified.

In order to address the issue of human-machine conflict caused by the neglect of human-machine interaction in traditional lane keeping assistance systems, this paper proposes a lane keeping human-machine co-driving strategy. A lane departure decision model considering the drivers’ lateral driving habits is designed by characterizing the drivers’ lateral driving habits based on their historical lateral positions and dynamically dividing the road boundary according to 3σ principles. At the same time, the control of the assisted driving system is allocated based on the risk assessment value and driver fatigue factor. The experimental results show that the proposed human-machine co-driving strategy can effectively avoid lane departure risks caused by fatigue driving and driving errors. The lane keeping assistance systems, which considers the lateral driving habits of drivers can provide drivers with sufficient freedom while applying appropriate constraints to suppress lane departure, effectively reducing human-machine conflicts and ensuring safety.

In order to improve the active safety of three-axle vehicle under special driving conditions, an all-wheel steering control strategy combining feedforward control and feedback control is proposed. Firstly, considering the nonlinear mechanical properties of tires and the difference of vertical stiffness of each axle, a nine-degree-of-freedom three-axle vehicle dynamics model is established, and the tire cornering stiffness in the reference model is dynamically corrected in real time based on Newton interpolation method. On the basis of this model, a zero-centroid sideslip angle proportional feedforward control based on Ackerman principle is proposed to cooperate with the front wheel steering feedback controller based on Nonsingular Fast Terminal Sliding Mode (NFTSM) and the middle and rear wheel steering feedback controller based on Fuzzy PID to form an all-wheel steering control strategy. Finally, the vehicle is simulated and verified under the condition of fish hook and double lane change. The results show that the designed all-wheel steering control system improves the vehicle's trajectory tracking performance by 34% and lateral stability by 26% over the feedforward control strategy.

To weaken the vibration and noise of automotive synchronous motors, this paper proposes a combined rotor slotting design scheme and electromagnetic noise forward optimization design method. Firstly, the mechanism of electromagnetic vibration noise is explored, then based on Maxwell tensor method and finite element method, the time-space distribution characteristics of radial electromagnetic force wave are studied, and the main electromagnetic force harmonic components causing electromagnetic noise are determined. Secondly, an improved design scheme of combined rotor slotting is proposed, and the optimal solution of structural parameters of slotting scheme is determined by combining the optimal prediction meta-model and strength Pareto evolutionary algorithm. Finally, the electromagnetic simulation model of the motor is established, and its line back electromotive force, cogging torque and output torque are compared and evaluated. The results show that the rotor slotting design can effectively suppress the spatial 0-order 12f electromagnetic force harmonic amplitude, improve the back EMF waveform, reduce the cogging torque and torque ripple, and thus reduce the vibration noise. Compared with the original prototype, the harmonic amplitude of the 0-order 12f electromagnetic force is weakened by 81.51%, the torque ripple is reduced by 44.98%.

In order to explore the influence of ball hinge strength on small offset collision in chassis structure and improve the accuracy of simulation model in practical engineering application, test and simulation are adopted to obtain the corresponding material mechanical parameters through the material real test of key components of chassis and the ball head failure test, and the ball hinge strength at key positions is designed. A local trolley is built to calibrate the chassis parts to improve the simulation accuracy of the analysis model. The results show that the strength of the ball hinge has a great influence on the small offset collision condition, and the model analysis results after calibration are in good agreement with the test.