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主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

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    New Energy Vehicle
    Design and Implementation of a Temperature Control Simulation System for Electric Vehicle Air Conditioning
    WANG Liang1,2 , YE Zhedong2 , QU Yuan1
    2026, 51(12): 1-6.  DOI: 10.16638/j.cnki.1671-7988.2026.012.001
    Abstract ( )   PDF (2218KB) ( )  
    To address the problems of inaccurate temperature control in electric vehicle air conditioning systems and the high cost of real-vehicle debugging, this paper designs a temperature control simulation system for electric vehicle air conditioning. Using an Arduino Mega 2560 microcontroller as the controller, the system constructs a physical simulation platform with hardware components including temperature sensors, positive temperature coefficient (PTC) metal heating elements, fans, and drive modules. The functions of each hardware component are described in detail. This paper develops a system temperature control algorithm based on incremental proportionalintegral-derivative (PID), tunes the PID parameters for heating mode and insulation mode respectively, and conducts experiments under heating conditions. The experimental results show that the developed algorithm enables the current space temperature to rise quickly to the target temperature and remain stable, with a temperature control error of less than 0.2 ℃. The temperature control algorithm and physical simulation system designed in this paper can provide effective theoretical and experimental support for temperature control systems in electric vehicle air conditioning.
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    Structural Optimization Design of Frame for Pure Electric Commercial Cargo Vehicles
    LIU Lijuan, NIU Ruikun, DING Shijie
    2026, 51(12): 7-10,30.  DOI: 10.16638/j.cnki.1671-7988.2026.012.002
    Abstract ( )   PDF (1112KB) ( )  
    Pure electric trucks are currently widely used. However, the heavy weight of the frame and the additional load from power batteries severely affect the cruising range. Therefore, as the core load-bearing component of the entire vehicle, lightweight design of the frame structure is of great significance. This paper focuses on the structural optimization of the frame for pure electric trucks. A three-dimensional model of the pure electric truck frame was established using CATIA software, and ANSYS software is employed to analyze the static mechanical properties and modal characteristics under five working conditions. Based on the analysis results, the structure was optimized and verified. The results show that the optimized structure achieves a weight reduction of 46.51 kg (8.02% mass reduction), and both the maximum stress and maximum deformation meet the requirements of the optimal design.
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    SOC Estimation Method for Power Batteries Based on Online Parameter Identification and BPNN-EKF
    QIN Shuai
    2026, 51(12): 11-18,25.  DOI: 10.16638/j.cnki.1671-7988.2026.012.003
    Abstract ( )   PDF (2371KB) ( )  
    The accurate estimation of the state of charge (SOC) of power batteries is of great significance for the safety of vehicle operation and energy management. This paper uses a second-order resistor-capacitor (RC) equivalent circuit model, uses the forgetting factor recursive least squares (FFRLS) method for online parameter identification, and uses extended Kalman filtering (EKF) for SOC estimation. The offline charging and discharging data under several working conditions of the battery are used as training data, and the back propagation neural network (BPNN) is used for training. The estimated error of the extended Kalman is used as the training output of the neural network to compensate for the error of the extended Kalman filter. FFRLS and EKF are used to ensure the real-time performance of the system, and BPNN is used to improve the robustness of the system. It is proved through simulation that this method can effectively improve the accuracy of SOC estimation.
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    Intelligent Connected Vehicle
    Research on 360°Surround View Algorithm for Commercial Vehicles Based on OpenGL
    FENG Kai, CHEN Zhe* , YANG Wenting, HU Xinyu, CHEN Feiyang
    2026, 51(12): 19-25.  DOI: 10.16638/j.cnki.1671-7988.2026.012.004
    Abstract ( )   PDF (2326KB) ( )  
    The 360°panoramic surround view technology plays a critical role in assisting driving and intelligent cockpits, effectively reducing blind spots for commercial vehicles and enhancing driving safety. This study aims to investigate a commercial vehicle 360°surround view algorithm based on OpenGL to meet the real-time requirements of embedded devices. By optimizing key techniques in the panoramic stitching process, including distortion correction and extrinsic calibration, a highly efficient commercial vehicle 360°surround view stitching algorithm is proposed by integrating the concept of lookup table method.This algorithm shifts the computational complexity to the calibration process, allowing for direct information retrieval and assignment after generating the lookup table. Validation results on the Rockchip RK3568 platform demonstrate that compared to traditional OpenCV processing methods, this algorithm significantly improves response speed, achieving a processing speed of 47 ms per frame. This research offers a viable and high-efficiency approach for the practical implementation of commercial vehicle 360°surround view technology.
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    Architecture Design of Time Synchronization Based on gPTP
    ZHOU Huanyu, WANG Yufeng, GAO Jian
    2026, 51(12): 26-30.  DOI: 10.16638/j.cnki.1671-7988.2026.012.005
    Abstract ( )   PDF (1300KB) ( )  
    With the growing demand for the functions such as advanced driving assistance systems (ADAS) in automotive electronics, traditional Ethernet can no longer satisfy the functional requirements on audio/video synchronization, intelligent connected vehicles, and data fusion, due to its inherent uncertainties such as latency. The time-sensitive network (TSN) technology will effectively address these bottlenecks, enrich in-vehicle functions, and enhance the reliability of transmission through Ethernet. Drawing from practical project experience, this article elaborates the architectural design of a vehicle-wide TSN time synchronization framework based on the generalized precision time protocol (gPTP). By means of the implementation of gPTP, the issue of spatiotemporal misalignment from the point cloud data fusion of automotive lidar can be effectively resolved. The issue also provides example test cases and solutions to optimizing gPTP processing logic, thereby improving the accuracy of data fusion results and the reliability of functions such as assisted driving.
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    Design and Research
    Analysis of Gear Heat Generation Characteristics of the Main Reducer in an Electric Drive Axle
    WANG Bowen, CHEN Huanming* , LIU Shenkang
    2026, 51(12): 31-35,57.  DOI: 10.16638/j.cnki.1671-7988.2026.012.006
    Abstract ( )   PDF (1859KB) ( )  
    Aiming at the temperature rise issue caused by frictional heat generation of the main reducer gear in the electric drive axle of new energy vehicles under high-speed and high-torque conditions, this paper conducts a systematic analysis of heat generation characteristics and cooling optimization. By establishing a helical gear multi-stage reducer model and combining theoretical calculations with ANSYS finite element simulation, transient structural analysis and steady-state thermal simulation are performed to accurately calculate the gear meshing temperature, and to analyze the influence of rotational speed, torque, and convective heat transfer coefficient on temperature. The results show that gear temperature is positively correlated with rotational speed and torque, and negatively correlated with convective heat transfer coefficient. Further comparison of the heat dissipation effects of spray cooling and immersion cooling reveals that spray cooling outperforms immersion cooling in both temperature reduction and lubrication. This study provides theoretical basis and engineering reference for the thermal management design of electric vehicle drive axle gears, and is of great value for improving the reliability of the transmission system.
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    Development of a Lightweight Integrated Tow Hook for Commercial Vehicles
    SHEN Yaqiang, TIAN Xuewu, WANG Weidong, FANG Shuai, ZHAO Bozhi
    2026, 51(12): 36-40.  DOI: 10.16638/j.cnki.1671-7988.2026.012.007
    Abstract ( )   PDF (1793KB) ( )  
    The front tow hook is a core safety component for emergency rescue of commercial vehicles, and its performance directly determines rescue reliability and road collision safety. To address the common pain points of conventional commercial vehicle front tow hooks, such as excessive rigidity, excessive front protrusion, structural redundancy, inconvenient installation and use, and susceptibility to bolt fracture, as well as industry issues including that most mass-produced products only meet the forward static load requirements of the national standard Commercial vehicles Front towing devices (GB/T 28948-2012), are prone to failure under complex rescue conditions, and exhibit poor vehicle-to-vehicle crash compatibility, this paper proposes two optimization schemes: an integrated fixed tow hook and a retractable integrated tow hook. Through integrated base design, load path optimization, innovative folding limit structures, and box-type protective design, the structural dimensions and product weight are reduced while balancing towing strength and crash protection performance. Finite element simulation verification under multiple operating conditions shows that the preferred integrated fixed tow hook achieves safety factors greater than 1 under three typical operating conditions, meeting mandatory national standard requirements, and achieves a 35.3% weight reduction compared with the original structure. This scheme effectively addresses the core defects of existing structures and can serve as a reference for the optimal design of similar commercial vehicle safety components.
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    Lightweight Design and Verification of Automotive Engine Bracket Structure
    ZHU Jianfeng1 , XU Zhiyong2
    2026, 51(12): 41-46.  DOI: 10.16638/j.cnki.1671-7988.2026.012.008
    Abstract ( )   PDF (1973KB) ( )  
    Based on the given powertrain design space, the optimal material distribution path analysis of the engine bracket is carried out through static and dynamic multi-objective collaborative topology optimization technology, and a new lightweight bracket structure design form is reconstructed based on the topology optimization results. The results show that the maximum equivalent stress of the structure corresponding to the most dangerous working condition of the bracket is 182 MPa, and the maximum structural principal stress of the engine bracket under dynamic ultimate load is 151 MPa. The first-order frequency of the structure converges to 826 Hz. Its structural durability, strength, and mode can all meet the design requirements. At the same time, through physical bench durability and strength performance tests, it is proved that topology optimization technology is adaptable and reliable in the conceptual design of automotive structures, providing technical support for subsequent engine bracket optimization design.
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    Research on Throttle Control Method for Commercial Vehicles Based on Load Condition and Driving Style Recognition
    LIU Jialin, SONG Zexi, YANG Jie, ZHAO Wancheng, WANG Weidong, CAO Shuai
    2026, 51(12): 47-52.  DOI: 10.16638/j.cnki.1671-7988.2026.012.009
    Abstract ( )   PDF (1341KB) ( )  
    With the increasing demand for intelligence and energy efficiency in commercial vehicles, this paper proposes a throttle control method based on the recognition of load conditions and driving styles. The method processes vehicle operation data using the K-Means clustering algorithm to identify three load conditions (high, medium, low) and classifies driving styles into aggressive, normal, and calm categories based on features such as vehicle speed, throttle opening, and braking. Accordingly, the throttle characteristic curve and torque output coefficient are dynamically adjusted to balance power performance and fuel economy. Real vehicle tests demonstrate that the strategy can adaptively adjust control parameters according to real-time conditions and driving styles, significantly improving fuel economy while ensuring power performance and driving smoothness. This study provides a valuable reference for the development of intelligent throttle control strategies in commercial vehicles.
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    Research on a Digital Training and Inference Method for Maximum Crushing Force of Energy Absorption Box Based on Ridge Regression Algorithm
    HAO Wei, HE Jinlong*
    2026, 51(12): 53-57.  DOI: 10.16638/j.cnki.1671-7988.2026.012.010
    Abstract ( )   PDF (1001KB) ( )  
    To address the pain points of repetitive workflows and long calculation times of simulation models during the simulation verification phase of automotive product development, the automotive energy absorption box is selected as the research object in this study. By means of script languages such as Python, TCL, and VB, the automation of parametric modeling, simulation processes, and sample data of the energy absorption box is realized. Based on small-sample data, the ridge regression algorithm is adopted and optimized. Eventually, a mean absolute percentage error (MAPE) of 3.23% and a coefficient of determination R 2 of 0.955 3 were achieved for the surrogate model, which could replace traditional simulations to accomplish rapid prediction of crushing force. The method proposed in this paper improves the efficiency of product design iteration and provided a referable digital training and inference method for the integration application of simulation and artificial intelligence (AI) in the automotive industry.
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    Analysis and Improvement of a Vehicle's Steering Column Mounting Bracket Crack
    ZHOU Zhengxin, GUO Cangyuan* , WANG Jianbin, ZHOU Fei
    2026, 51(12): 58-62.  DOI: 10.16638/j.cnki.1671-7988.2026.012.011
    Abstract ( )   PDF (3996KB) ( )  
    To address the durability cracking issue between the steering column mounting bracket and the steering column caused by frequent aggressive steering in a driving school vehicle, a solution involving the addition of a reinforcing bracket is proposed in this paper. Comparative computer-aided engineering (CAE) simulation analysis demonstrated that the maximum stress in the improved bracket (Material: DC01) is reduced from 294 MPa to 140 MPa. This enhancement improves the operational reliability and service life of the steering system, and provides a reference for avoiding market issues related to cracking of the steering column mounting bracket during the design phase for vehicles intended to be sold to driving schools.
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    Testing and Experiment
    Research on the Acquisition and Processing Method of Proving Ground Load Spectra
    LIU Zhilei1 , DU Jian2*
    2026, 51(12): 63-67,120.  DOI: 10.16638/j.cnki.1671-7988.2026.012.012
    Abstract ( )   PDF (3288KB) ( )  
    To improve the accuracy and efficiency of fatigue durability simulation for automotive components, it is necessary to obtain high-fidelity load boundary conditions. This study takes an sport utility vehicle as the object and conducts multi-channel load spectrum acquisition on the reinforced pavement of a fatigue test site. Aiming at the baseline drift, singular points, and invalid small load cycles existing in the acquired signals, a systematic preprocessing procedure is proposed: first, a third-order polynomial fitting is employed to eliminate the trend term; then, singular points are identified and repaired by interpolation based on the Pauta criterion (3σ); finally, invalid small load cycles are removed according to the principle of fatigue damage equivalence (with a threshold value of k=10%). To verify the fidelity of the processed load spectrum, it is used as input to drive a multi-body dynamic model for simulation. The results show that the peak errors between the simulated outputs (including wheel center Z-direction acceleration, tie rod force, and spring displacement) and the bench test results are all less than 8%, and the correlation coefficients (CC) are all above 0.95. This study establishes a standardized load spectrum processing procedure, which can provide reliable load input for fatigue durability simulation and has clear engineering value for shortening the research and development cycle.
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    Analysis of the Development and Application of 11-in-1 Electric Drive Assembly Technology
    ZHOU Yangyu
    2026, 51(12): 68-73,95.  DOI: 10.16638/j.cnki.1671-7988.2026.012.013
    Abstract ( )   PDF (1240KB) ( )  
    Aiming at the industrial pain points of low efficiency, large volume, and insufficient reliability in traditional distributed electric drive systems, this paper studies the development and application of the 11-in-one integrated electric drive assembly technology. A highly integrated electric drive solution is developed through system architecture design, key technology research, performance verification, and engineering application. Firstly, the module composition and integration principle of the 11-in-one assembly are defined, with core technologies including shared mechanical housing, laminated electrical busbar, full-domain thermal management, and multi-core collaborative control tackled emphatically. Secondly, bench tests and real vehicle experiments are conducted to quantitatively verify its performance advantages. The overall system efficiency reaches 90.04%, an increase of 4.04% compared with the traditional three-in-one scheme; the power density hits 2.0 kW/kg, a rise of 33.3%; and the equipment failure rate decreases by 70%. Finally, massproduction cases of mainstream self-developed passenger and commercial vehicles are adopted to verify the multi-scenario adaptability of the assembly. Research shows that the deep integration of machinery, electricity, and software in the 11-in-one electric drive assembly effectively improves the driving range, power performance, and reliability of new energy vehicles, providing a mature engineering reference for the iterative upgrading of core technologies of new energy vehicles.
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    Practice on Enhancing the Cybersecurity Protection Level of a Certain Type of New Energy Commercial Vehicle
    LIU Hui, MA Jian
    2026, 51(12): 74-78.  DOI: 10.16638/j.cnki.1671-7988.2026.012.014
    Abstract ( )   PDF (2847KB) ( )  
    In view of the cybersecurity risks exposed during the intelligent evolution of new energy commercial vehicles, taking a certain model as the object, this paper integrates threat analysis and risk assessment (TARA) with penetration testing to identify key vulnerabilities and propose protective solutions. Focusing on core assets like the central gateway, TARA analysis is conducted to identify high-risk threat scenarios. Based on the results, an information security test bench for the vehicle's electrical system is built, and gray-box penetration testing is used to simulate attack paths and verify vulnerabilities. It is found that an unprotected on-board diagnostics (OBD) interface could lead to unauthorized vehicle control, and gateway routing without validation could trigger cross-subnet attacks. Through physical protection, authentication authorization, firewalls, and other fixes, risk levels are significantly reduced. The article provides empirical cases for the cybersecurity development of commercial vehicles, assisting enterprises in meeting the requirements of the vehicle cybersecurity technical specifications (GB 44495-2024) standard and UN Regulation (R155), and promoting the optimization of security design.
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    Process·Materials
    Research on the Capacity of Heavy Truck Welding Production Line Based on Line Balancing Technology
    YAN Jianqi, WANG Feng
    2026, 51(12): 79-83.  DOI: 10.16638/j.cnki.1671-7988.2026.012.015
    Abstract ( )   PDF (2035KB) ( )  
    To improve the production efficiency and reduce cycle time loss of the main welding line for heavy trucks, this paper adopts the lean production line balancing method and the eliminate, combine, rearrange, simplify (ECRS) principle to optimize the heavy truck body-in-white main welding line with reciprocating swing rod conveying mode. In robot welding stations, cycle time is optimized by adjusting man-machine operation matching and integrating and simplifying operation contents. Operation rearrangement is applied to manual welding stations to raise working efficiency. After optimization, the line balance rate of the main welding line rises from 82.87% to 89.44% with obvious improvement effect. This optimization method is applicable to production lines with rigid linkage and has popularization value.
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    Research on Online Inspection Scheme for Dimensions of Automotive Seat Crossbeam Mounting Holes
    LUO Xu, ZHANG Shujun
    2026, 51(12): 84-89.  DOI: 10.16638/j.cnki.1671-7988.2026.012.016
    Abstract ( )   PDF (1903KB) ( )  
    The automotive seat crossbeam as a key structural component connecting the vehicle body offline manual inspection. This paper details the system's basic structure and workflow, and validates its effectiveness through practical application. The results show that the solution achieves 100% online inspection, high inspection efficiency, a low false rejection rate, and significant economic benefits, while effectively ensuring product quality. It provides a solution with both engineering practicality and theoretical reference value for the online dimensional inspection of critical holes in automotive components, enriching the technical approaches for in-process inspection in automated production lines. and the seat, the positional dimensional accuracy of the mounting holes on the automotive seat crossbeam assembly directly affects seat assembly performance, necessitating 100% full inspection. To address the issues of low efficiency, inspection lag, and high cost associated with manual inspection, and considering the technical requirements of automated manufacturing and in-process inspection, this paper proposes a mechanical pin-type online full inspection solution suitable for automated welding production lines. Based on the go/no-go gauge principle and integrated with programmable logic controller (PLC) control technology, the proposed solution synchronizes the inspection process with the production cycle, thereby overcoming the limitations of traditional
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    Analysis and Optimization of Oil Leakage Problem of Screw Plugging in a Range Extender Based on FTA
    HU Wei1 , CUI Pengshuai2 , JIAO Hongxing1 , LI Xiaojing2
    2026, 51(12): 90-95.  DOI: 10.16638/j.cnki.1671-7988.2026.012.017
    Abstract ( )   PDF (1178KB) ( )  
    This paper focuses on the failure of the oil passage plug seal in a certain range extender. To prevent oil leakage from the plug seal under thermal engine conditions and ensure the stability of the range extender's lubrication system oil pressure, this study uses fault tree analysis (FTA), differential scanning calorimetry (DSC), infrared spectroscopy and other methods to determine that the leakage is caused by abnormal moisture content in the sealing adhesive during production, resulting in a rapid decrease in the tightening torque of the plug under thermal engine conditions, ultimately leading to leakage. By optimising the plug sealing process, adjusting the plug diameter, and improving storage conditions, the issue of oil leakage in some range extenders during durability testing was effectively resolved, reducing the risk of oil leakage after mass production of the vehicle, and providing a reference for technical personnel in this field for testing and research on the sealing performance of range extenders.
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    Automobile Education
    Exploration on Case Teaching of System Modeling Method Course Based on Virtual Simulation -Taking the Four-Wheel Independent Drive Vehicle System as an Example
    WANG Hongwei, ZHANG Yuhang, MENG Fanwei
    2026, 51(12): 96-101.  DOI: 10.16638/j.cnki.1671-7988.2026.012.018
    Abstract ( )   PDF (1807KB) ( )  
    To address the pain points of abstract theories and insufficient cultivation of students' practical abilities in traditional system modeling methods courses, this study explores a new teaching model that integrates virtual simulation technology into case teaching. This model abandons the traditional paradigm centered on knowledge transmission and instead adopts the outcome-based education concept, aiming to cultivate students' higher-order abilities in solving complex control engineering problems as the ultimate outcome. First, a teaching framework integrating "theorymodel-simulation-analysis" is proposed for the teaching case represented by a four-wheel independent drive vehicle system. Then, simulation results under given operating conditions are achieved using MATLAB/Simulink and CarSim software tools. Finally, teaching practice demonstrates that this model can effectively visualize and dynamize abstract theories, significantly enhancing students' classroom participation, systematic thinking ability, and innovative practical skills. This study provides a valuable reference and an implementable path for the practical teaching reform of engineering courses.
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    Research on the Practical Application of Machine Vision Methods in Intelligent Vehicle Competitions
    LUO Jia, YANG Shuanglong, JIA Zihou, LIU Benfei, LIU Zhengyang, DONG Le, ZHENG Lifeng
    2026, 51(12): 102-113,127.  DOI: 10.16638/j.cnki.1671-7988.2026.012.019
    Abstract ( )   PDF (3336KB) ( )  
    With the rapid advancement of intelligent driving technology, university-level intelligent vehicle competitions have become an important platform bridging theoretical education and engineering practice, as well as promoting technological innovation and talent development. Based on the 2025 Shanxi Provincial University Intelligent Vehicle Competition, the article systematically elaborates on the application of a multi-sensor fusion-based machine vision system in tasks such as lane detection, traffic sign recognition, parking triggering, and navigation. The system adopts a "perception–decision–control" hierarchical architecture and implements real-time image processing and closed-loop control on the Jetson Nano embedded platform. To address challenges such as varying illumination and track reflection in the competition environment, innovative strategies including virtual lane compensation, hybrid event triggering based on spatiotemporal consistency, and ultrasonic-visual fusion for parking determination are introduced, thereby enhancing the system's environmental adaptability and robustness. Experiments demonstrate that the system maintains high robustness and real-time performance under complex conditions such as varying illumination, providing a reproducible engineering reference for machine vision applications in intelligent vehicle competitions.
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    Research on Knowledge Graph Construction and Visual Interactive System for the Graduate Course Vehicle System Dynamics
    ZHANG Zhiming, HU Guangxu, ZHAO Zhiguo* , ZHEN Yujun, ZHAO Xin, FU Pengpeng
    2026, 51(12): 114-120.  DOI: 10.16638/j.cnki.1671-7988.2026.012.020
    Abstract ( )   PDF (1431KB) ( )  
    Aiming at the teaching difficulties of cumbersome formula derivation, high correlation of knowledge points and hidden logical relations existing in Automotive System Dynamics, a core course for postgraduates majoring in vehicle engineering, this paper proposes a full-process method for constructing curriculum knowledge graphs and developing visual interactive systems. Based on Python and Neo4j graph database technology, this study establishes a fine-grained curriculum knowledge base with more than 300 knowledge entities and over 900 semantic relationships. It mainly illustrates the key technical implementations of multi-source heterogeneous data extraction, multi-strategy knowledge fusion and front-end and back-end separated visual interaction, and independently develops a background management system to ensure dynamic updating of knowledge graphs. Application verification in the teaching of this course for 2024-grade postgraduates at Tongji University proves that the system effectively improves the efficiency of knowledge system construction among 80 students from two classes. The examination scores of the experimental group rise by 12.5% compared with the control group, and the course satisfaction rate reaches 95%. It provides a popularizable model for the high-quality construction of intelligent postgraduate courses.
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    Practice of Curriculum Reform Integrating "Post Competencies, Curricula, Competitions, and Certificates" in Higher Vocational Automotive Programs under the Guidance of a Vocational Competence Ladder
    SHAO Jianhua, FENG Yapeng
    2026, 51(12): 121-127.  DOI: 10.16638/j.cnki.1671-7988.2026.012.021
    Abstract ( )   PDF (2956KB) ( )  
    From the perspective of vocational competence development, this article focuses on the upstream business sectors of the intelligent connected vehicle industry chain. It integrates "post competencies, curricula, competitions, and certificates" into professional courses for intelligent connected vehicle technology, constructing a progressive ability-based teaching content framework of "fundamental operations–skill enhancement–comprehensive assessment." Match and optimize personalized learning processes and learning needs with a diversified and innovative curriculum learning model, addressing the practical challenges in the systematic structure of automotive professional curricula in China. Practical evidence demonstrates that the educational model combining "typical projects+work tasks+outcome-oriented approaches," along with the AI-BOPPPS instructional strategy and a zoned value-added intelligent evaluation system, enhances the pertinence and effectiveness of talent cultivation. This approach ensures hierarchical progression and steady quality improvement in talent development, thereby supporting the new ecosystem of autonomous driving and smart mobility.
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    Construction Path of the "Golden Teacher" Team for Automotive Intelligent Technology under the Background of Industry-Education Integration -A Case Study of Nantong Vocational University
    SHI Shuijuan, LU Qiongye, LI Wenwen
    2026, 51(12): 128-133.  DOI: 10.16638/j.cnki.1671-7988.2026.012.022
    Abstract ( )   PDF (1323KB) ( )  
    Based on the national strategy to strengthen the country through education and the context of deepening industry-education integration, this paper aims to address challenges in building highquality teaching teams in higher vocational institutions. Taking the "golden teacher" team of the Automotive Intelligent Technology major at Nantong Vocational University as an example, it proposes a development path centered on "four integrations": industry and education integration, research and teaching integration, stability and mobility integration, and tradition and innovation integration. This approach establishes a collaborative industry-education community and a mutually reinforcing mechanism between research and teaching. Practice has shown that this path effectively forms a closed-loop system spanning strategic guidance, pathway innovation, and institutional safeguards, providing a replicable implementation framework and theoretical support for constructing high-level, structured "golden teacher" teams in higher vocational institutions.
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    Standards·Regulations·Management
    Driving Style Recognition and Risk Prediction in Highway Merging Areas
    LIU Yong1 , ZHANG Mengting2 , ZHOU Yutong2,3, LI Xiang2 , WANG Wenxuan2 , CHEN Wenke1*
    2026, 51(12): 134-141.  DOI: 10.16638/j.cnki.1671-7988.2026.012.023
    Abstract ( )   PDF (2374KB) ( )  
    To investigate the differences in driving behavior between cars and trucks in highway merging areas and improve the accuracy of risk prediction, this study analyzes the spatiotemporal trajectories and operational characteristics of different vehicle types in merging zones based on the HighD highway trajectory dataset. To further capture behavioral variations, ten microscopic driving features were extracted. After applying factor analysis for dimensionality reduction, the K-means clustering algorithm is employed to identify distinct driving styles. The study further incorporated driving style features to construct risk prediction models based on support vector machine (SVM), decision tree (DT), AdaBoost, and XGBoost. The results indicate that different vehicle types exhibit significant differences in speed and acceleration distributions in merging areas; the classification of driving styles can effectively characterize behavioral heterogeneity, and the incorporation of driving styles significantly improves risk prediction performance, among which the XGBoost model performs the best. This study provides a rigorous theoretical basis and practical insights for traffic safety modeling and personalized early-warning strategies in highway merging areas.
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    Research on Ramp Traffic Passability Safety Evaluation Method Based on Heavy-Cargo Transportation Vehicles
    XIONG Yanhao, CAO Lipeng, QIU Peijian, QIU Lanrui, YUAN Jinduo*
    2026, 51(12): 142-145,152.  DOI: 10.16638/j.cnki.1671-7988.2026.012.024
    Abstract ( )   PDF (1910KB) ( )  
    With societal development and economic progress, demand for heavy-load transportation services has surged, making the passability of oversized transport vehicles particularly critical to ensure highway safety during such operations. Taking oversized transport vehicles as the research subject, an evaluation model for cross-sectional and spatial passability is established for the tractor-low-bed semi-trailer combination based on classic vehicle configurations. Theoretical computational analysis of the vehicle's operational state on ramps yields passable turning width and theoretical clearance width. Utilizing route engineering technical indicators, a detailed assessment of ramp safety and passability for the vehicle is conducted. Analysis through this evaluation system aids in selecting optimal routes for oversized transport vehicles, enhancing transportation efficiency and With societal development and economic progress, demand for heavy-load transportation services has surged, making the passability of oversized transport vehicles particularly critical to ensure highway safety during such operations. Taking oversized transport vehicles as the research subject, an evaluation model for cross-sectional and spatial passability is established for the tractor-low-bed semi-trailer combination based on classic vehicle configurations. Theoretical computational analysis of the vehicle's operational state on ramps yields passable turning width and theoretical clearance width. Utilizing route engineering technical indicators, a detailed assessment of ramp safety and passability for the vehicle is conducted. Analysis through this evaluation system aids in selecting optimal routes for oversized transport vehicles, enhancing transportation efficiency and
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    Analysis of the Current Situation and Characteristics of Platformization in Typical Automakers
    LU Xiaofeng, ZHANG Gongjing, CHEN Dong, MEI Xiaofei
    2026, 51(12): 146-152.  DOI: 10.16638/j.cnki.1671-7988.2026.012.025
    Abstract ( )   PDF (1388KB) ( )  
    Chery Automobile Company Limited
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