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28 March 2025, Volume 50 Issue 6 Previous Issue   
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New Energy Vehicle
Intelligent Connected Vehicle
Design and Research
Process·Materials
Automobile Education


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New Energy Vehicle

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Research on Energy Management Strategy of Load Identification Optimization GAO Shiwei, LIU Lidong* , GONG Jianjun 2025, 50(6): 1-10,27.  DOI: 10.16638/j.cnki.1671-7988.2025.006.001 Abstract ( )   PDF (2093KB) ( )   In order to solve the problem that the energy management strategy of hybrid commercial vehicles does not consider the change of vehicle mass, this paper takes a hybrid tractor as the research object, and proposes an energy management strategy based on load optimization. The vehicle longitudinal dynamics model is established, the influence of mass parameters on energy management strategy is analyzed, the tractor model is established in MATLAB/Simulink, the vehicle mass is estimated online by Kalman filter, the vehicle mass and the minimum control strategy of equivalent fuel consumption are combined, the load optimization control strategy model is established, and the simulation experiment is used to verify. The results show that the Kalman filter can accurately identify the total mass of the vehicle under different loads, and the proposed strategy can better maintain the balance of battery power, improve the working efficiency of the motor, and further exert the performance of the control strategy of minimum equivalent fuel consumption, with about 1.15% fuel saving. References | Related Articles | Metrics

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Current Status and Strategies for Recycling in the New Energy Vehicle Power Battery Sector LI Xu1 , WU Fengbo2 2025, 50(6): 11-15.  DOI: 10.16638/j.cnki.1671-7988.2025.006.002 Abstract ( )   PDF (491KB) ( )   In order to solve the problem of power battery recycling caused by the rapid development of new energy vehicles, this paper expounds the necessity of power battery recycling and the current situation of the industry, discusses the strategy of power battery recycling industry, and puts forward suggestions to establish a unified standard for power battery industry as soon as possible, strengthen the supervision of power battery recycling industry and establish a digital management platform for power battery. It can effectively promote the rapid development of the power battery recycling industry and help the sustainable development of new energy vehicles. References | Related Articles | Metrics

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Matching and Optimization of the Transmission System of an Extended Range Electric Tractor Based on AVL-Cruise CHEN Mengxing, YAO Yanping* , YANG Zhaosong, XING Zhehao, ZHOU Lidong 2025, 50(6): 16-21.  DOI: 10.16638/j.cnki.1671-7988.2025.006.003 Abstract ( )   PDF (2603KB) ( )   In order to solve the matching and optimization problem of the tractor transmission system, firstly the tractor motor, battery, range extender, gearbox and other parameters are matched according to the vehicle design requirements of the tractor. Then the vehicle model is established based on AVL-Cruise, and simulation tasks such as cycle working condition, driving range and maximum gradient are established. Finally, under the condition of satisfying the power performance of the tractor, the genetic algorithm is used to optimize the transmission ratio and improve its economy. The results show that the energy consumption of the tractor decreases and the economy increases by 2.6% and 8.4%, respectively, and the pure electric endurance increases by 4.2% and 4.6%, respectively, under the ploughing and transporting operating conditions. Moreover, the working points in the motor MAP graph under optimized ploughing working conditions are in a higher efficiency range than those before optimization. References | Related Articles | Metrics

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Design Research on Motor Control Systems for Intelligent New Energy Vehicle HAO Yulian 2025, 50(6): 22-27.  DOI: 10.16638/j.cnki.1671-7988.2025.006.004 Abstract ( )   PDF (3548KB) ( )   Addressing the application demands of permanent magnet synchronous motors (PMSM) in intelligent new energy vehicle, a high-efficiency, low-cost, and reliable motor control system design is investigated in this paper. By analyzing technical requirements of motor controller, a modular hardware architecture incorporating high-voltage film capacitors, insulated gate bipolar transistor (IGBT) modules, isolated power supplies, and current-voltage detection modules is developed. The design adopts a modular method, which not only ensures the high efficiency of the system, but also effectively reduces the cost and improves the overall reliability. Experimental results demonstrate that the designed controller achieves 98.05% efficiency at rated power and 94.93% motor efficiency; at maximum power, controller efficiency reaches 95.13%, surpassing the design peak power. Compared to traditional controllers, the new controller reduces volume by 40%, lowers costs by 15%, and increases power output by 4.8%. The results show that the proposed controller design effectively fulfills the high-efficiency, low-cost, and high-reliability requirements for motor control systems in new energy vehicle. References | Related Articles | Metrics

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Powertrain Matching and Carbon Emission Analysis of Heavy Duty Hybrid Commercial Vehicles LI Yuan, XU Long, LI Hongbo, MAO Sailong 2025, 50(6): 28-33.  DOI: 10.16638/j.cnki.1671-7988.2025.006.005 Abstract ( )   PDF (1030KB) ( )   In the context of "double carbon", in order to study the carbon emission of heavy hybrid commercial vehicles, this paper selects and matches the power parameters of a hybrid commercial vehicle and establishes a simulation model. By comparing the difference of China-world transient vehicle cycle (C-WTVC) and China heavy-duty commercial vehicle test cycle-heavy truck (CHTCHT), it is found that the highest acceleration of CHTC-HT condition is higher, and low speed section is larger, acceleration increase and low speed driving time will lead to increased fuel consumption, to the enterprise research and development of a new generation of heavy duty hybrid commercial vehicles. Therefore, through comparative analysis in the simulation condition setting, it is found that the fuel consumption of 100 km of CHTC-HT condition is 3.8% higher than that of C-WTVC, and the carbon emission factor is about 3.5% higher than that of C-WTVC. References | Related Articles | Metrics

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Research on Braking Force Coordination Strategy for New Energy Commercial Vehicle XU Yanyan1 , FAN Yu2 , LIU Zhuo1 , XIA Fuzhi1 2025, 50(6): 34-40,59.  DOI: 10.16638/j.cnki.1671-7988.2025.006.006 Abstract ( )   PDF (1563KB) ( )   New energy vehicles are affected by many factors in the braking process, and the output braking torque of the composite braking system composed of the motor braking system and the mechanical braking system has a large error with the required braking torque. This paper takes rear-axle-driven new energy commercial vehicles as the research object, establishes a feed-forward feedback controller and a slip rate controller based on proportional-integral-derivative (PID), compensates the motor braking torque with mechanical braking torque, and corrects the braking torque distribution strategy through the output braking force adjustment coefficient of the fuzzy controller. Through Simulink simulation verification, the vehicle's braking response speed and braking smoothness can be optimized without affecting braking safety and energy recovery. References | Related Articles | Metrics

Intelligent Connected Vehicle

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The Vehicles and Lane Lines Detection Method Based on Improved DeepLabv3+ CHEN Fangzhou, ZHU Chen, ZHAO Xiaoyu, MA Chenjiansong, TI Yan 2025, 50(6): 41-45.  DOI: 10.16638/j.cnki.1671-7988.2025.006.007 Abstract ( )   PDF (2376KB) ( )   In view of the problem that existing research rarely uses the same network to achieve simultaneous detection of vehicles and lane lines, and the real-time performance is poor, the traditional DeepLabv3+ network is improved for lightweighting in this paper. The original Xception backbone network is replaced by MobileNet v2 network. The MobileNet v2 network is further changed from five downsampling to four and the learning rate and other parameters are adjusted. An image data set containing both vehicles and lane lines is constructed. The Xception, MobileNet v2 and the improved method proposed in this paper are trained and tested on the data set. The experimental results show that the mean pixel accuracy (mPA) and mean intersection over union (mIoU) of the proposed method is 86.78% and 77.66% respectively, which is basically the same as that of the original Xception backbone network. The model volume is 22.44 m 3 , which is reduced by 89.3%, and the frames per second (FPS) is increased by 72.43%. This proposed method not only guarantees the detection accuracy, but also greatly improves the detection speed. Therefore, this study provides suggestions for vehicles and lane lines detection in the process of autonomous driving of intelligent networked vehicles, and provides strong support for vehicle driving safety References | Related Articles | Metrics

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Vehicle Trajectory Prediction Model Based on Improved LSTM TIAN Hao1 , LI Pengwei2 , ZHAO Jianyou1 2025, 50(6): 46-51.  DOI: 10.16638/j.cnki.1671-7988.2025.006.008 Abstract ( )   PDF (1151KB) ( )   Accurate prediction of road vehicle behavior is of great significance for improving road safety, optimizing traffic flow and realizing autonomous driving. The vehicle trajectory prediction model in this paper uses long-short term memory (LSTM) encoder and decoder. In order to further improve the prediction accuracy, 3D convolution is introduced into the model to better capture the interaction effects of dynamic changes between different vehicles, a 3D-LSTM model is established. Compared with the CS-LSTM model, the input speed and acceleration are added. The model can comprehensively consider the historical state of the target vehicle and the dynamic information of the surrounding vehicles, and realize the accurate prediction of the trajectory. In this paper, the NGSIM data set is used to evaluate the model. Compared with the CS-LSTM model, the root mean square error (RMSE) of the proposed model decreased by 26%, 15.5%, 12.6%, 11.4% and 10.2%, respectively, in 1 to 5 seconds. Simulation results show that the proposed model can significantly improve trajectory prediction accuracy. References | Related Articles | Metrics

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Parallel Parking Path Planning Based on Geometric Curves and Improved Hybrid A JIA Haifeng, SHI Wenzheng 2025, 50(6): 52-59.  DOI: 10.16638/j.cnki.1671-7988.2025.006.009 Abstract ( )   PDF (2248KB) ( )   In the case of complex parking scenarios, the existing parallel parking algorithms have some problems such as small scope of application, long computing time and high failure rate. In order to solve these problems, an automatic parking path planning algorithm based on geometric curves and improved hybrid A* is designed. Firstly, the kinematic model of the vehicle is established according to Ackermann's steering theory. Secondly, the geometric curve method is designed to plan the path of the simple parallel parking scene. Then, an improved hybrid A* is designed to improve the success rate of parking planning in complex parallel scenes. Finally, simulation software is used to carry out simulation analysis and real vehicle verification. The results show that the automatic parking path planning algorithm based on geometric curves and improved hybrid A* can effectively expand the application scope of parking environment, enhance computing power, improve the success rate of parallel parking planning, and has a very wide application prospect in the parking field. References | Related Articles | Metrics

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Cooperative Control Strategy for Human-Automation Driving Based on Non-Cooperative Game Theory GAO Xiong, WANG Xinghong 2025, 50(6): 60-64,74.  DOI: 10.16638/j.cnki.1671-7988.2025.006.010 Abstract ( )   PDF (1105KB) ( )   A non-cooperative model predictive control strategy is proposed to address the problem of co-piloting control between drivers and automation systems. First, a two-degree-of-freedom vehicle model is used to model the lateral control of the vehicle, then a human-automation co-piloting control model is established based on the trajectory tracking and steering input, and the cost functions of the driver and automation system are proposed. Then, the driver and automation system are described as a non-cooperative game using game theory principles, and the Nash equilibrium solution of the human-automation steering input is obtained. Finally, the influence of different weight matrices in the cost function on the human-automation control is verified through a Simulink/CarSim joint simulation experiment. The research results show that the weight matrix that mainly affects the vehicle trajectory is the lateral deviation weight matrix and the steering input weight matrix, while the steering input increment weight matrix affects the convergence speed of the steering input.Therefore, in the human-automation co-piloting strategy, the vehicle can be driven stably, safely, and efficiently by rationally allocating the size of the weight matrix. References | Related Articles | Metrics

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Research on the Application of YOLO Object Detection Algorithm in Autonomous Driving Scenarios FANG Hongsu1 , CHANG Cheng1 , SHI Xinyu 2 , XIONG Runlian1 , HE Mentao1 2025, 50(6): 65-74.  DOI: 10.16638/j.cnki.1671-7988.2025.006.011 Abstract ( )   PDF (1799KB) ( )   With the rapid development of autonomous driving technology, accurate and efficient object detection has become a key research direction in environmental perception technology. The you only look once (YOLO) series algorithm, as a single-stage algorithm, has shown great potential not only in autonomous driving, but also widely applied in various fields. This article first summarizes the object detection algorithms based on deep learning and reviews the development history of YOLO algorithm; afterwards, the commonly used evaluation indicators in the field of object detection are outlined, and the application of YOLOv1 to YOLOv10 algorithms in autonomous driving scenarios is discussed, with a focus on analyzing the application of YOLO algorithm in traffic sign, vehicle and pedestrian, road surface status, and lane lines detection; finally,looks forward to the development trends and potential optimization directions of YOLO detection algorithm in the field of autonomous driving in the future. References | Related Articles | Metrics

Design and Research

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The Design and Dynamic Characteristics Study of the Planetary Roller Screw Transmission System for the 16MN Electric Screw Press LIU Tengyu 1 , ZHAO Shengdun1,2,3* , ZHAO Xuzhe4 , FAN Shuqin1,2,3 , REN Yujian1,2 , LIU Dazhou1 , WANG Yongfei1,2,3 , BAI Yifan1 , HUANG Xiaopeng5 2025, 50(6): 75-81108.  DOI: 10.16638/j.cnki.1671-7988.2025.006.012 Abstract ( )   PDF (1751KB) ( )   As a forging equipment, the screw press has been widely used in China. However, existing screw presses face issues such as lubrication difficulties, high friction coefficients, low efficiency, and high energy consumption. This paper proposes a more energy-efficient and high-performance planetary roller screw transmission system for the 16MN gear-type electric screw press, replacing the sliding friction in the original screw pair with rolling friction. Based on the basic working principle of the screw press, a standard planetary roller screw pair suitable for this press is designed, and a static finite element analysis of the single thread tooth between the screw and roller side is conducted using ABAQUS. Finally, dynamic simulation of the complete virtual assembly of the planetary roller screw is performed using ADAMS, validating the rationality of the theoretical design. Through theoretical design, static analysis, and dynamic simulation, it is concluded that the structural parameter design of the standard planetary roller screw for the screw press is reasonable and meets the working load requirements of the gear-type electric screw press. This technology transforms the sliding friction of the trapezoidal thread screw pair into the rolling friction of the planetary roller screw, effectively addressing lubrication difficulties, reducing the friction coefficient, significantly improving the efficiency of traditional screw presses, and lowering energy consumption. References | Related Articles | Metrics

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Research on Optimization of Thermal Interface Materials for High Power LED Junction Temperature XU Shengliang1,2 , WANG Zhan2 , JIANG Yejie2 , YAN Zi2 , LIU Binbin2 , LU Biaowu3 2025, 50(6): 82-87.  DOI: 10.16638/j.cnki.1671-7988.2025.006.013 Abstract ( )   PDF (1192KB) ( )   Under the background of compact and versatile automotive headlights, high-power light emitting diode (LED) with high brightness and small luminous area are widely used in automotive headlights, but this also brings heat dissipation problems. The heat dissipation efficiency will affect the junction temperature of the LED, thus affecting the luminous efficiency and working life of the LED. Thermal interface materials can effectively reduce thermal resistance and improve the heat dissipation efficiency of high-power LED. This paper takes LED headlamp as the research object,puts forward the scheme of solder as the thermal interface material, and compares the effect of three kinds of thermal interface materials commonly used in headlamp on the junction temperature of high-power LED. The numerical simulation results show that the thermal conductivity of solder thermal interface materials is better than that of the other three thermal interface materials. For the four thermal interface materials, the current power and junction temperature of LED are linearly positive correlated. The influence of thermal conductivity, thickness and cross section area of thermal interface materials on LED junction temperature is further analyzed, which can be used to guide the selection of thermal interface materials. References | Related Articles | Metrics

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Performance Analysis and Key Parameter Design of a Nonlinear Coupled Isolator ZHU Huihui, LIANG Wenhong* , HUANG Xiaoying 2025, 50(6): 88-93.  DOI: 10.16638/j.cnki.1671-7988.2025.006.014 Abstract ( )   PDF (1504KB) ( )   In order to solve the problem of unstable vibration during on-board shooting, a coupling vibration isolation system with wire rope isolator and pneumatic damper in parallel is designed. Five nonlinear pneumatic damper schemes with different aperture-varying diameters are proposed, including sine, cosine, velocity, acceleration and displacement. On the basis of the established mechanical model of the parallel coupling of 4 groups of wire rope and 4 groups of pneumatic dampers, the on-board free vibration and excitation vibration conditions are simulated, and the vibration isolation effects of the on-board coupled vibration isolation system between vibration frequency 0.5～30 Hz and vibration acceleration 0.5～2g are obtained. Finally, the key parameters under the displacement change mode are selected. It not only broadens the isolation frequency band of the vibration isolation system, but also improves the stability of the vibration isolation system. References | Related Articles | Metrics

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CFD Analysis of an Off-road Engine Cooling System LI Longchao1 , WANG Hui2 , GE Rui1* , XIN Xuejun1 2025, 50(6): 94-98.  DOI: 10.16638/j.cnki.1671-7988.2025.006.015 Abstract ( )   PDF (3670KB) ( )   The combustion chamber temperature of the engine can generally reach 1 000～2 000 ℃, and the role of the cooling system is to ensure that the engine can ensure the temperature balance in different environments, and is generally controlled at (85±2) ℃. Improper cooling will not only cause overheating, decrease of inflation coefficient, abnormal combustion, and overall deterioration of power and economy, but also cause problems such as oil, fuel dilution and increased friction loss. This paper mainly combined with the cooling system matching problems existing in the development process of non-road equipment, computational fluid dynamics (CFD) simulation analysis, and optimized the design of existing problems through bench verification test, and finally ensured the successful application of cooling system in non-road equipment. References | Related Articles | Metrics

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Fault Analysis and Optimization of Piston Valve Seat Shedding in Automobile Electric Motor Driven Vacuum Pump SHAO Zhenpeng 2025, 50(6): 99-103.  DOI: 10.16638/j.cnki.1671-7988.2025.006.016 Abstract ( )   PDF (1876KB) ( )   During the endurance test of a certain type of electric motor driven vacuum pump, the piston valve seat falls off. The potential causes of piston valve seat shedding are analyzed using the failure tree analysis method. Review the dimensions of the valve seat before the test. The valve seat and valve seat hole are X-ray inspected. The tolerance zone of the valve seat is analyzed and calculated. The pressure difference between the inside and outside of the valve seat is monitored when the pump is started at low temperature. The temperature difference between the valve seat and the valve seat hole during the cooling process of the pump is monitored. The force distribution and deformation of the valve seat and valve seat hole are simulated and calculated. By analyzing and eliminating these reasons one by one, it is finally determined that the valve seat falling off is caused by uneven deformation of the valve seat hole. For this reason, the valve seat is optimized and improved, and the improved product is verified through simulation calculation and tests. Finally, the problem of valve seat falling off is fundamentally solved. References | Related Articles | Metrics

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Research of Instrument Panel Bolt Preload Attenuation Based on LS-DYNA LIU Baogong1 , HUANG Bentao1 , LIU Xingyi2 , ZHONG Yucheng2 2025, 50(6): 104-108.  DOI: 10.16638/j.cnki.1671-7988.2025.006.017 Abstract ( )   PDF (1740KB) ( )   In order to study the attenuation of vehicle instrument panel bolts under vibration, this paper establishes the cylindrical grid through pre-processing software, and the node coordinates are modified to realize the modeling of the thread mesh. Based on the grid, the finite element model of preload attenuation of instrument panel bolt based on LS-DYNA is established, and the accuracy of the finite element model is verified by bench test of preload attenuation of instrument panel bolt. The results show that the acceleration shock vibration will make the bolt preload attenuate significantly. The modified node bolt grid modeling method is suitable for the simulation of bolt preload attenuate. The simulation error of finite element model is within the acceptable range, which has the engineering application value. References | Related Articles | Metrics

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Analysis of Matching Optimization Method of Automotive Exterior Trim Based on 3DCS GUO Yunming, SHEN Rong 2025, 50(6): 109-111118.  DOI: 10.16638/j.cnki.1671-7988.2025.006.018 Abstract ( )   PDF (1329KB) ( )   As people's requirements for the appearance and feeling of automobiles are getting higher and higher, enterprises are becoming more and more strict in the control of the gap and surface difference between the decorative parts of automobiles. Aiming at the complex matching structure involving many parts in the assembly process, this paper proposes a matching optimization control method based on three-dimensional control systems (3DCS). First, 3DCS is used to calculate the contribution degree of each deviation in the dimensional chain, and then the influencing factors with large contribution rates are found out. Finally ensure that the gap between the exterior parts, surface difference match. This study has some guidance for improving the quality of gap difference matching between automotive exterior decorative parts. References | Related Articles | Metrics

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Lightweight Design and Verification of the Frame Topological Structure of a Pure Electric Tractor FAN Xiaodong1 , DONG Yunxia2* 2025, 50(6): 112-118.  DOI: 10.16638/j.cnki.1671-7988.2025.006.019 Abstract ( )   PDF (2327KB) ( )   In order to be able to meet the vehicle layout requirements of pure electric tractor, frame structure is designed by using topology optimization method, and the mature structure matching is completed. The finite element strength, stiffness and modal performance of the new frame are simulated. Then the lightweight design of the frame is completed by using the size optimization method and the sensitivity analysis results. Finally, the torsional stiffness test is carried out on the frame sample which meets the design requirements, and the comparison of simulation and test data is completed. The research results verify the accuracy of the simulation model, and the final frame quality is reduced by 5.7% compared with the preliminary scheme, which provides a reference for the design and development of new models for enterprises. References | Related Articles | Metrics

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Research on Vertical Excitation Rollover of Road Obstacles Based on Energy Conservation GU Zhiping1,2 , LUO Jianhua1,2 , ZHU Xiaoguang1,2, ZHANG Xiaofeng1,2 2025, 50(6): 119-123.  DOI: 10.16638/j.cnki.1671-7988.2025.006.020 Abstract ( )   PDF (2271KB) ( )   In order to solve the problem of evaluating the limit value of rolover condition caused by vertical excitation of wide-body vehicle, this paper proposed the modified evaluation index of transient lateral acceleration and the modeling method based on conservation of energy for the first time, and solved the problem by coupling the longitudinal and vertical motion modeling of vehicle. The modified transient lateral acceleration spectra under different vehicle speeds and different obstacle heights are obtained by simulink simulation. The experimental results showed that the measured values are in good agreement with the calculated values under limited conditions, thus verifying the effectiveness of the modeling method in this paper. References | Related Articles | Metrics

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Research on On-line Dynamic Weighing Algorithm for Heavy Commercial Vehicles SHEN Xiaokang, LI Mengyang, WANG Zhixian, LIU Jialin, YANG Jie 2025, 50(6): 124-128138.  DOI: 10.16638/j.cnki.1671-7988.2025.006.021 Abstract ( )   PDF (1694KB) ( )   The weight estimation of heavy commercial vehicles is of great significance for overloading control, vehicle lateral and longitudinal control, and vehicle power economy analysis. This paper proposes an online dynamic weighing algorithm for vehicles without adding acceleration and slope sensors. By identifying the vehicle state and road conditions from the data collected from the controller area network (CAN) bus, and applying mathematical statistical methods such as variance analysis and box plot analysis, combined with vehicle dynamics theory, a vehicle mass estimation algorithm based on effective driving process is developed. The simulation results show that the average error of this algorithm under comprehensive working conditions is 4.52%, and it has the advantages of high calculation accuracy, strong robustness, and wide application scenarios. References | Related Articles | Metrics

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Performance Analysis and Optimization of Bus Steering System Based on ADAMS XU Jingyu, DUAN Shulin, SONG Hui 2025, 50(6): 129-132.  DOI: 10.16638/j.cnki.1671-7988.2025.006.022 Abstract ( )   PDF (1487KB) ( )   Taking the front axle steering system of a certain type of bus of our company as the research object, a three-dimensional digital model of the bus front axle steering system is first established. Then, a simulation model is built using ADAMS software for kinematic simulation analysis. According to the calculation results, the angle change curves of the front axle steering wheels of this type of bus when turning left or right can be obtained. Then, the angle comparison analysis is conducted based on Ackermann theory, and the pure rolling rate of the steering wheels is also obtained. Finally, the optimal solution is obtained through the optimization design of the steering trapezoid mechanism of this type of bus, effectively reducing the difference between the simulated steering angle and the theoretical steering angle. At the same time, it ensured the pure rolling rate of the steering wheels within a small steering angle range, providing suggestions for the design and matching of the axle, and effectively improving the steering performance of the vehicle model's steering system. References | Related Articles | Metrics

Process·Materials

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A Method for Measuring the Backlash of Differential Gear Teeth YAO Lifeng, KANG Haijun, GUO Yubin, ZHAO Chunqiang* , TIAN Jian 2025, 50(6): 133-138.  DOI: 10.16638/j.cnki.1671-7988.2025.006.023 Abstract ( )   PDF (1417KB) ( )   The differential is an indispensable key component in the construction of automobiles, and the axial and angular tooth clearance between the internal gears is crucial for ensuring the reliability of vehicle operation. To achieve a low-cost, fast, and accurate measurement of the tooth clearance between different types of differential gears, this paper studies the actual usage of the existing measurement auxiliary tools and the analysis results of the measurement system for a method of measuring the tooth clearance between differential gears and its auxiliary tools. The study derives improvement strategies for the measurement method and designs a new measurement auxiliary tool. After testing and verification, the new measurement method and auxiliary tool have the advantages of convenient operation, reliable and stable measurement results, and strong product compatibility, providing favorable support for product quality control. References | Related Articles | Metrics

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Discussion on Mistake-Proofing Scheme Based on Digital and Intelligent Technology WANG Hao, ZHANG Yucheng, ZHENG Yaokai, YE Xiaojun 2025, 50(6): 139-144.  DOI: 10.16638/j.cnki.1671-7988.2025.006.024 Abstract ( )   PDF (2900KB) ( )   As the customization level of new energy vehicles increases, the mixing of multiple configurations and colors in production lines leads to even more serious misassembly problems. To ensure consistency in vehicle assembly and avoid market quality issues and customer complaints caused by incorrect installation, this article provides an incorrect assembly countermeasure based on digital and intelligent technology. The focus is on the methods of risk identification, risk assessment, and error prevention plan development, to realize the hierarchical control of misloading risk and carry out digital and intelligent monitoring of high-risk projects. Misloading risk hierarchical control to achieve the economy of misloading control. The digital and intelligent monitoring method eliminates the misloading caused by artificial missing judgment thus improve the reliability of misinstallation risk control. References | Related Articles | Metrics

Automobile Education

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Research on the Construction of Mechanics Course for the New Demand of Automobile Industry HAO Qi, WU Shengjun, YIN Changcheng, ZHU Shuiwen 2025, 50(6): 145-148.  DOI: 10.16638/j.cnki.1671-7988.2025.006.025 Abstract ( )   PDF (1229KB) ( )   Based on the demand for new products, new materials and new design methods in the iterative process of the automobile industry in the new era, this paper takes the teaching content and industry integration as the footing, and takes industrial engineering case penetration and digital simulation calculation ability improvement as two lines to build a mechanics curriculum system. At the same time, we should sort out the links between courses and reform the course content and teaching organization. It is hoped that the combination of digital teaching platform can enhance the teaching auxiliary means and further improve the mechanical comprehensive ability of engineering talents in the new era. References | Related Articles | Metrics

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The Course Building of Locomotive Emergency Response and Intelligent Driving under the Background of Ideological and Political Education YIN Ming, LIU Fangxuan, CHAI Guilan, WANG Xiaoqin 2025, 50(6): 149-153.  DOI: 10.16638/j.cnki.1671-7988.2025.006.026 Abstract ( )   PDF (1099KB) ( )   In the context of the new curriculum ideological and political reform, how to effectively integrate ideological and political education with professional knowledge, so that students can continuously improve their ideological and moral qualities while learning professional courses well. Emergency Response and Intelligent Driving of Locomotives is a course aimed at expanding the horizons of railway locomotive students who have completed the core courses of their major.Although smart driving has not yet been implemented in railways, many urban subways have already opened completely unmanned lines, and smart driving control technology has been applied to various degrees in vehicles such as cars and drones. Therefore, it is necessary to learn the above content and broaden one's horizons. Based on the current conditions of ordinary railways, combined with the working methods of subway drivers in different scenarios of unmanned driving lines, as well as the cutting-edge technology of intelligent driving in transportation applications, this course has set up two modules: intelligent driving and emergency response. Two innovative teaching methods, "theory+practice+thinking about the future" and "actual scenario+virtual process", have been constructed respectively, and different ideological and political elements have been integrated into the knowledge points of the two modules. Through the study of this course, students can not only master the corresponding job skills and prepare knowledge reserves for career change, but also study hard, seek truth from facts, actively take responsibility, and become composite talents with strong professional abilities and positive ideological and moral values. References | Related Articles | Metrics

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Research on the Construction of Intelligent Connected Vehicle Training Center under the Background of "High-Level Higher Vocational Colleges and High-Level Specialty Groups Plan" YU Hang, ZHANG Dean 2025, 50(6): 154-157.  DOI: 10.16638/j.cnki.1671-7988.2025.006.027 Abstract ( )   PDF (1048KB) ( )   Under the background of the "High-Level Higher Vocational Colleges and High-Level Specialty Groups Plan", the construction of intelligent connected vehicle training centers which launched by universities has significant advantages in establishing diverse teaching scenarios, cultivating versatile talents, and strengthening the integration of industry and education.This article takes Hubei Industrial Polytechnic as an example, and discusses the practical work and beneficial experience of the school's construction of the intelligent connected vehicle training center which is constructed on the background of the "High-Level Higher Vocational Colleges and High-Level Specialty Groups Plan", in order to provide reference for the construction of intelligent connected vehicle training centers in domestic universities. References | Related Articles | Metrics

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Innovation and Practice of Teacher Teaching Methods under Emerging Technology Paradigm －Taking the Course of Automotive Construction as an Example LIAN Wenxiang, XI Hailiang, BAO Erkai, ZHAN Jinghua 2025, 50(6): 158-162.  DOI: 10.16638/j.cnki.1671-7988.2025.006.028 Abstract ( )   PDF (1125KB) ( )   Under the background of new engineering construction, it is necessary for teachers of the course group to propose teaching methods according to the training objectives of applied talents of automotive service engineering major and the teaching characteristics of Automotive Construction courses. Taking Automobile Construction course as an example, this paper designs teachers' teaching methods from the aspects of "five competences-one reform", including the design ability of integrating curriculum content with ideological and political elements, the innovation ability of teaching methods, the application ability of developing curriculum resources, the practical application ability of teachers in and out of class practice system, the modeling and analysis ability of auto parts and the reform of assessment methods. Through exchange learning, improving the comprehensive ability of integrated teaching methods, carrying out curriculum assessment reform research, improving teaching evaluation and other measures, students' sense of learning experience can be enhanced, students' enthusiasm to participate in curriculum learning can be improved, and teachers' innovation ability can be improved, thus achieving the objectives of the curriculum and the needs of professional personnel training, and promoting the construction of the curriculum. References | Related Articles | Metrics

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Practice of Blended Teaching Model of Automobile Machinery Basic Course Based on Action-Oriented DAI Longjiang, ZHOU Die, YANG Yiqun 2025, 50(6): 163-168.  DOI: 10.16638/j.cnki.1671-7988.2025.006.029 Abstract ( )   PDF (2019KB) ( )   At present, there are still teacher-dominated and student-centered ideas that are difficult to integrate into teaching, resulting in students' professional ability, professional quality and innovative practice ability are difficult to meet the needs of enterprises. This paper combines the advantages of the action-oriented concept and the blended teaching mode, analyzes the current situation of course teaching and the problems existing in the teaching process by using the survey research method, integrates the working process and the teaching design process, and designs a flexible and efficient teaching mode that teachers can implement in a planned way across time and space, and selects the vehicle front windshield wiper as an example for teaching. The research shows that this model can effectively solve the shortcomings of vocational education, improve the classroom effect, cultivate students' vocational competitiveness and vocational adaptability, promote the continuous improvement of teaching effect, and provide unique insights and references for the teaching reform of secondary vocational classrooms. References | Related Articles | Metrics

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Teaching Practices of Artificial Intelligence Assistants in Engineering Specialty Courses LIU Miao, JIN Guangcan, LI Jin 2025, 50(6): 169-172.  DOI: 10.16638/j.cnki.1671-7988.2025.006.030 Abstract ( )   PDF (1081KB) ( )   In today's era of rapid technological development, artificial intelligence is gradually changing the mode and method of education. Developing a course assistant developed by generative artificial intelligence and applying it to the teaching of automobile engine structure and principles course will provide students with a more personalized and efficient learning experience, and provide teachers with a more convenient and effective teaching tool, as well as injecting new vitality into educational innovation and development. This paper demonstrates a course assistant developed based on generative artificial intelligence Doubao by Coze platform with personalized learning guidance, real-time Q&A, rich teaching resources, project case studies and learning progress tracking and evaluation, and evaluates the effectiveness of these experiences in engaging students and enhancing their understanding of automotive powertrain structures. References | Related Articles | Metrics