Studying the impactinduced failure phenomenon of automotive coatings is of great significance for predicting damage and guiding the structural design and optimization of the coatings. A finite element model for the singleparticle impact failure of automotive coating samples is established, and this model is solved by using an inhouse explicit finite element solver, FTWGPU. The predicted failure patterns of inply failure and interface delamination of the automotive coatings are in good agreement with the experimental outcomes, which verifies the effectiveness of this numerical method and reveals the failure mechanisms of inply failure and interface delamination in coatings under impact load.

To achieve multiobjective optimization of power performance and stability for inwheelmotor driven offroad vehicles in complex environments with variable adhesion conditions and undulating road surfaces, the paper proposed an adaptive torque control strategy based on pavement impact factors. Five characteristic parameters, namely, the difference in rolling resistance, normalized proportion of air resistance, normalized proportion of ramp resistance, variance of road adhesion difference and the minimum road adhesion coefficient, were used as inputs to establish a fiveparameter identification model of pavement impact factors based on fuzzy theory. Considering the identified pavement impact factors, an adaptive torque control strategy was developed for the multiobjective optimization of vehicle power performance and stability, and a threelayer control architecture was constructed. At the top of the strategy, the pavement impact factors are introduced to determine the urgency of acceleration, and the model predictive control algorithm is used to obtain the desired total driving force. The middle layer serves as the target decisionmaking layer, which governs the antiskid torque based on the optimal slip rate, and determines the desired feedforward compensation torque according to the road resistance. The base layer servers as the torque distribution level, taking the total demand driving force and the tire utilization ratio as the control objectives. It introduces the pavement impact factors to optimize the weight coefficients of these two objectives. A hybrid optimization algorithm with multiple constraints is applied for adaptive torque control. Simulations were conducted using the Matlab/SimulinkCarSim cosimulation platform, with real vehicle trials for verification. The results show that on lowadhesion road surfaces, the wheel slip control can be achieved rapidly within 0.2 s. On the split road surfaces, the lateral displacement is nearly negligible, showing excellent lateral stability. On highly twisted road surfaces, the system prevents large slip rates of the freespinning wheel from exceeding 0.2.

With the continued expansion of the pure electric vehicle market, it is necessary to optimize the overall thermal management control strategy for BEVs in low temperatures. The optimization is crucial to better suit the application scenarios, particularly to meet the growing demands of customers in northern cold regions and to alleviate the decline in driving range of BEVs in lowtemperature environments. Based on research and realvehicle validation of the thermal management control strategies for waste heat source heat pumps and air source heat pumps in different lowtemperature scenarios for a BEV model, the paper has extended the effective operating lower temperature limit of the heat pumpbased thermal management system from 15 °C to 20 °C. Moreover, the attenuation rate of driving range has been significantly reduced to 31.2% under the CLTC driving condition at 7 °C.

To overcome the challenges of NTF simulation accuracy in vehicle NVH simulations, the paper designed and constructed a “rigidwall occupant cabin", which reduced the coupling effect between the "acoustic cavity mode” and the “container" to a negligible extent. Based on the rigidwall passenger cabin, the influence of subacoustic cavities on the overall acoustic cavity mode was analyzed, and the modeling method for porous materials was discussed. The porous material models such as seats and carpets were established, and the effect of front wall sound insulation material on the coupling of sheet metal vibration and acoustic cavity mode was analyzed quantitatively. The simulation and test results show that the cavity mode, airborne sound transfer function, structural vibration transfer function and sound transfer function all achieve good simulation accuracy. The findings of this paper provide a reference for the control of low frequency road noise and engine noise.

Optimizing the aerodynamic performance of the vehicle chassis has an important impact on reducing the aerodynamic drag and lift of the vehicle. The optimized design in the chassis area is a crucial approach to improve the fuel economy and power of the vehicle. In this paper, a Computational Fluid Dynamics (CFD) simulation analysis of the external flow field is conducted for a sport utility vehicle (SUV). The paper compares the simulation accuracy of Realizable kɛ and SST kw turbulence models, ultimately selecting the Realizable kɛ turbulence model for the aerodynamic design of the chassis. Combining the SUV chassis characteristics and the flow field analysis, and aiming to minimize the overall cost, the paper designed five aerodynamic proposals for the chassis, including the front lower spoiler, the front wheel baffle, the subframe rear spoiler, the middle chassis guard and the tail muffler shape optimization. A fullscale wind tunnel test was carried out to verify the CFD simulation results. The results show that all five chassis proposals contribute to the improved aerodynamic performance. The tail muffler shape optimization has a notable impact on drag reduction, decreasing the vehicle's drag coefficient by 2.99%. When the five proposals are combined, the drag coefficient and lift coefficient are reduced by 5.16% and 21%, respectively. The study effectively achieves energysaving and drag reduction, and improves driving stability of the vehicle.

Under transient conditions, the opening of the car's active grille system(AGS) and the rotational speed of the fan are adjusted in realtime, leading to continuous changes in the air intake volume of the heat exchanger. Consequently, the fan of the thermal management test bench cannot provide accurate and immediate transient air supply for the heat exchanger. In this paper, computational fluid dynamics (CFD) simulation technology is used to analyze the relationship between the inlet air volume of the heat exchanger and factors such as vehicle speed, AGS opening and fan speed. Subsequently, a mathematical model is constructed with a prediction error of less than 6.6%. The model is then integrated into the CANOE device, connected to the VN1640 device and the fan system. The system can collect realtime CAN signals for vehicle speed, AGS opening, and fan speed, calculate the inlet air volume of the heat exchanger, and control the corresponding air volume output from the fan. It achieves the goal of providing the heat exchanger with accurate and realtime air supply through the bench fans.