Thin-walled tubes, commonly used structures in automobile lightweight and industrial production, have the advantages of lightweight and high strength. The study of the axial compression instability characteristics of thin-walled tubes is helpful for its application in optimizing structural design and safety. Therefore, a novel axial compression fold model of thin-walled tubes is proposed to describe the morphological characteristics and average compressive load of deformation folds for thin-walled tubes based on the energy method. The prediction accuracy of the new theoretical model and the plastic hinge model for the fold length and compressive average load is validated by experiments and finite element simulation. The results show that the fold length predicted by the new theoretical model is closer to the experimental and finite element results compared with the plastic hinge model, with the average prediction error reduced by 55.2%. The prediction accuracy for compressive average load is improved by 29.7% after the friction coefficient correction. When guiding engineering practice, a fold prediction model considering friction effect correction should be adopted.

In this article, the effect of adhesive type, substrate properties, and structural dimensions on the mechanical properties of basalt fiber reinforced polymer (BFRP)-aluminum alloy (AA5052) and BFRP-BFRP single lap adhesive joints is investigated. Using the response surface methodology (RSM), a predictive model is es-tablished to evaluate the impact of three process parameters (aluminum substrate thickness, overlap length, and the angle between the loading direction and the primary direction of the basalt fibers) on the mechanical performance of the joints. The results indicate that the strength and stiffness of the adhesive joints are influenced by the yield strength and stiffness of the bonded substrates. BFRP-BFRP adhesive joints exhibit higher peak load, whereas BFRP-AA5052 adhesive joints demonstrate greater overall stiffness. The use of brittle structural adhesives can sig-nificantly enhance the strength and fracture energy absorption of the adhesive joints, reaching up to 57.4% and 1 128.5%, respectively. The shear strength Y is introduced as an evaluation metric for assessing the adhesive strength utilization rate. A strength prediction model for Y is established based on RSM, resulting in a regression equation with good significance, and the optimal range for the process parameters is predicted. The analysis of the coupling effect of the process parameters based on the strength prediction model reveals a negative correlation be-tween fiber direction and joint strength, while overlap length and aluminum substrate thickness show a positive cor-relation with joint strength. Considering the joint strength, adhesive cost, and lightweight effect, it is recommended that the loading direction aligns with the primary direction of the fibers, with the overlap length controlled within the range of 20 mm to 25 mm, and the aluminum substrate thickness within the range of 2 mm to 2.5 mm. This study provides theoretical and data support for the application of BFRP-AA5052 adhesive structures in transportation equipment.

Based on the research on the combination of vehicle application scenarios and electric drive torque near zero anti-jerk control requirements, in this paper four vehicle anti-jerk control requirements and their software architectures from the perspective of vehicle anti-jerk, including transmission clearance, torque limitation, electric drive torque near zero, and high-frequency de-noising of wheel speed fluctuation. Based on the requirements of anti-jerk control, vehicle anti-jerk algorithm architecture as well as the control strategy with electric motor torque near zero is designed, and the corresponding control process and calculation analysis are provided. Through simulation and real vehicle testing of the designed anti-jerk control strategy, it is proved that the control algorithm architecture and strategy can effectively achieve the anti-jerk function of the vehicle. According to the longitudinal acceleration curve of the real vehicle test and the fluctuation of the electric drive speed, it can be seen that the designed software architecture and control strategy have achieved good results in vehicle drivability.

With the increasingly strict emission standards for automobiles, non-exhaust particulate matter emission, especially brake wear particulate matter emission, is becoming more prominent. In order to investigate the emission characteristics of brake wear particles under different test cycles, in this study a set of drum brakes is selected to conduct research on PM2.5 and PN10 emission under different test cycles(WLTP-Brake、WLTP、C-WTVC and CHTC-LT cycle) on a brake emission testing system modified based on a brake inertia table. The research results show that there are significant differences in the average initial/final braking temperature of the brake drum under different test cycles, and the highest final braking temperature generally occurs in the braking event corresponding to the maximum initial braking speed in the cycle. The PM2.5 emission factor of the test brake drum under WLTP-Brake cycle is 1.67 mg/km/wheel (the Euro 7 vehicle emission limit of 7 mg/km/vehicle), so the particulate matter emission control of the brake drum, like the brake disc, needs our attention. In addition, the initial braking speed of each cycle has a significantly greater impact on brake particle emission than braking characteristic parameters such as average braking deceleration. This study has practical reference value for the development and testing of low emission brakes for brake enterprises.

With the aim of improving vehicle ride comfort, in this paper a fractional-order skyhook control strategy based on the fractional order calculus theory is proposed. Firstly, a fractional-order skyhook vehicle suspension dynamic model is established to derive analytical expressions for the fractional-order skyhook damping force and fractional-order skyhook inertial force. Subsequently, particle swarm optimization algorithm is used to optimize the key parameters of the suspension. In order to solve the problem that fractional-order force cannot be realized physically, a vehicle ISD (inerter-spring-damper) suspension with mechatronic inerter is chosen as the controlled model. A model reference adaptive controller based on fractional-order skyhook is designed to track the mechanical performance output of the fractional-order suspension. Dynamic performance analyses of fractional-order skyhook inerter suspension and fractional-order skyhook damper suspension is conducted from both frequency-domain and time-domain perspectives. Simulation results show that fractional-order skyhook ISD suspension has more significant advantages in reinforcing ride comfort than integer-order skyhook ISD suspension. Under random road input, the root-mean-square value of vehicle body acceleration of fractional-order skyhook damper suspension decreases by 18.3%, while the fractional-order skyhook ISD suspension decreases by 20.6%. The bench test results demonstrate that the vehicle ISD suspension based on fractional-order skyhook further enhances ride comfort, offering new insights for the design of vehicle ISD suspension.

With the increasing power levels and integration of electric vehicles, the thermal load of power modules is rising rapidly, which puts higher demand on the thermal management technology of power modules. The topology optimization design of power module liquid cooled plates is becoming a key technology for achieving high heat flux density heat dissipation due to its high heat transfer and low-pressure drop loss characteristics. In this paper, based on the density topology method, a topology optimization design model is constructed for the flow channel structure of the power module liquid cooling plate. Through the coupling of multiple physical fields of flow and heat transfer; multi-objective topology optimization design for the flow channel of the liquid cooling plate is carried out. The results show that the topology-optimized liquid cooling plate design presents a multi-level biomimetic flow channel structure, which significantly reduces pressure drop loss and improves heat dissipation capacity. Compared to the traditional finned liquid cooling plate structure of the benchmark, the pressure drop loss of the flow channel structure after topology optimization is reduced by 72.8%, with a maximum temperature reduction of 33.28 K, which provides a new design idea for high-performance liquid cooling plates of automotive electronic control power modules.

With the in-depth implementation of China 's ‘carbon peaking and carbon neutrality’ strategy，electric vehicles have developed rapidly. The bonding process of producing drive motor core has attracted more and more attention. In this study，for the problem that the production efficiency is limited due to the uncoordinated rhythm matching of each process in the production process of adhesive iron core，the purpose of reducing production cost and improving production efficiency is achieved by solving the problems of driving device selection and parameter setting of rotary lamination mechanism of adhesive motor core processing equipment. Based on the grey theory，a comprehensive multi-objective optimization method is put forward in this paper，which aims to improve the accuracy of driving device selection and parameter setting of motor core processing equipment.

Accurate evaluation of scenario similarity is extremely important for optimizing test scenarios. However，existing trajectory-based evaluation methods fail to adequately capture the complex dynamic interaction characteristics between vehicles at intersections，which affects the accuracy of the evaluation results. To address this problem，in this study a directed graph-based similarity evaluation method for urban intersection scenes is proposed，which quantifies the similarity between scenes by comparing the degree of spatial and temporal matching of the global interaction topologies of vehicles in two scenarios. Firstly，a directed graph is used to characterize the interaction topology between vehicles at each urban intersection. Then，the interaction similarity between different intersection scenarios is estimated by comparing the degree of matching of their directed graph structures. Finally，a dynamic time warping algorithm is used to align the scenarios in the time dimension to effectively compare two test scenario sequences of different lengths. The results of the qualitative analysis of three pairs of typical evaluation cases demonstrate that the method is capable of distinguishing scenes with different similarity levels at a fine-grained level. Furthermore，to quantitatively validate the effectiveness of the method，an ANOVA experiment is conducted to compare scenario similarity with the performance of the autopilot system. The experimental results reveal that the safety and efficiency of the system exhibit significant differences under test conditions with different levels of scenario similarity，thus proving the method's effectiveness. Ultimately，this method is applied to optimize Apollo. Ultimately，this method rformance of the autopilot system. The experimental results reveal that the safety and efficiency of the system exhibit significantd

Uncontrolled intersections are highly dynamic and strongly interactive decision-making scenarios，in which it is a challenging task to enable automated vehicles to make safe and reasonable decisions similar to skilled drivers and pass through the intersections successfully. The subjective attributes of ontology in cognition and decision-making process are fully considered in this paper，and an interactive human-like decision-making method based on sequential games for automated vehicles is proposed. Firstly，the multi-objective driving triggers are deeply explored from multiple dimensions such as traffic efficiency，space margin，ride experience，and driving safety. Further，a game decision-making model is established，which is embedded with personalized and human-like driving characteristics and can match driver and passenger groups with different driving modes and types. On this basis，the concept of sequential priority and the self-perspective decision-making scheme that imitates human logic are proposed to realize self-evolution of sequential patterns of rolling stage game decision-making. Finally，the effectiveness of the proposed method is verified through multiple sets of comparative experiments. The results show that the interactive human-like decision-making method proposed in this paper can resolve potential conflicts and deal with safety decision-making problems in a continuous and interactive manner，while improving the naturalized and human-like effect of personalized decision-making of automated vehicles.

In the process of vehicle intelligence，in-vehicle sound field zoning control technology plays a crucial role in enhancing the acoustic experience within the cabin. In this paper，a comprehensive review of in-vehicle sound field zoning control algorithms and their application are provided. Firstly，the background and theoretical basis of the technology are introduced. Then，the development process，control principles，and characteristics of various sound field zoning control algorithms are thoroughly analyzed. Finally，based on the existing research progress，the potential advancements in sound field zoning control technology with regard to reproduction accuracy improvement，algorithm robustness，and sound field uniformity are explored，and a series of challenges limiting the widespread application of the technology in vehicles and the solutions are discussed. The review aims to provide reference for further research on in-vehicle sound field zoning control and to promote widespread application of the technology in the vehicle industry.