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.

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.

According to the definition rule of A2L file in automobile calibration system, the regular expression is designed to match the internal key information of A2L file, and the information of A2L file is represented by class structure and multitree model. In addition, the corresponding general analysis flow is proposed for different data modules in the file. Aiming at the problems of measurement value visualization and calibration value download, the conversion formula of raw quantity to physical quantity is designed according to various predefined types and conversion methods, which can provide conversion tools for upper computer software. The A2L data analysis management software is developed by using C# and window applications to realize the visual management and modification of the analysis results. The software design pattern of "high cohesion and low coupling" and dynamic link library are used to further develop the measurement calibration software. Finally, the effectiveness of the proposed A2L file parsing method is verified by experiments.

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.

Focusing on a hybrid electric vehicle equipped with a lithium battery and supercapacitor, the paper establishes a realtime wavelet transformfuzzy control energy management control strategy. The objective is to enable the supercapacitor to handle high frequency signals at a reasonable state of charge (SOC) and the lithium battery to manage low frequency signals, all under the premise of satisfying dynamic performance requirements. Secondly, the vehicle model was developed based on Matlab/Simulink and ADVISOR software, and simulation tests were carried out under NEDC cycle conditions. The simulation results show that, compared with the single lithium battery, the peak driving current of the lithium battery in the composite power supply is reduced by 20.68% and its lifespan is increased by 16.75% under the wavelet transformfuzzy control strategy. Finally, a scaleddown experimental platform of the composite power system was built and tested under NEDC conditions. The experimental results show that the proposed control strategy effectively manages the energy of the hybrid electric vehicle.

The forward development of vehicle integration indicates the R&D capabilities of the automobile industry. Therefore the paper studied the evaluation and comparison of the forward development of vehicle integration among different automobile companies. According to the work content of forward development, a Vshaped development process was adopted and revised. An model involving 9 firstlevel indicators and 33 secondlevel indicators was built to evaluate the forward development of vehicle integration of seven Chinesebranded vehicle companies. It is found that the maximum value of the weight coefficient of product planning leads to the largest value of the forward development capability. The Company J with the best comprehensive performance has clear advantages in product planning, project management, vehicle function definition and vehicle performance integration without any unfavorable indicators. The evaluation scores of other companies are affected by their unfavorable indicators.