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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
    Analysis of Influence of Power Battery Simulation Modeling Mode on Structural Response
    LIU Qing, ZHOU Mingjie, LIANG Xinlong, LV Xixiang, ZHANG Ya'nan
    2025, 50(15): 1-6,41.  DOI: 10.16638/j.cnki.1671-7988.2025.015.001
    Abstract ( )   PDF (5243KB) ( )  
    To improve the accuracy of finite element modeling for power battery systems, this paper constructs a refined simulation model, where the interior of the cells adopts a homogenized solid modeling approach, and the liquid cooling system tries multiple modeling schemes. By conducting modal simulations and experimental sweep frequency tests on the battery pack modules and the overall system, and comparing and analyzing multiple sets of data, it is found that when the cell elastic modulus is set to 100 MPa, the simulation mode has the highest degree of agreement with the experimental results; when the liquid cooling system adopts a mutually bound connection and a freeze connection with the modules, the consistency between the system-level simulation mode and the experimental mode is optimal, while the number of mesh layers of the thermal conductive adhesive has no significant impact on the simulation results. The research shows that this modeling method and conclusions can accurately predict the structural response of the power battery pack, providing a reliable reference for the refined modeling of power battery finite element simulations.
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    Simulation and Experimental Validation of the Integrated Thermal Management System for an Electric Heavy-Duty Vehicle
    LI Sisi, WEN Yilun, SUN Kun
    2025, 50(15): 7-11.  DOI: 10.16638/j.cnki.1671-7988.2025.015.002
    Abstract ( )   PDF (1020KB) ( )  
    Electric heavy-duty vehicles are rapidly evolving toward high power, long range, lightweight design, and intelligent functionality. Based on the AMESim software platform, a comprehensive simulation model of an integrated thermal management system for electric heavy-duty vehicles is developed. This model includes a battery thermal management module, a cabin thermal comfort module, an air conditioning loop model and a proportional-integral (PI) control module, effectively capturing the dynamic responses of each component. Key components are calibrated through simulation, achieving an accuracy of over 85%. Using these high-precision components, the thermal management system model is constructed and validated through comparison with real vehicle test data. The system meets design requirements in key performance indicators such as compressor speed control, average cabin temperature, and battery inlet coolant temperature, with a simulation accuracy reaching 85%. The study confirms the feasibility and effectiveness of the AMESim platform for modeling integrated thermal management systems and developing control strategies, providing a solid technical foundation and data support for future control optimization and vehicle testing.
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    Research and Analysis on Abnormal Power Loss Fault of New Energy Passenger Car
    FU Hongcheng
    2025, 50(15): 12-16.  DOI: 10.16638/j.cnki.1671-7988.2025.015.003
    Abstract ( )   PDF (1586KB) ( )  
    This article focuses on the fault of abnormal power loss in a new energy passenger car after the power supply is off. Using the fault tree analysis method, exclusion method, comparative testing method, etc, and the static current consumption of the vehicle after power off is taken as the starting point for multidimensional research and analysis. It not only explores the sleep and wake up strategy of the electronic control unit on the vehicle, but also deeply analyzes the formation mechanism of controller area network bus error frames based, ultimately we locates the cause of the fault, and provides targeted improvement and optimization. Finally, the abnormal power loss fault is successfully eliminated and the vehicle energy consumption is reduced.
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    A Review of Electric Vehicle Fire Safety System Research
    ZHAO Yonggang1,2, MA Shenpeng1,2
    2025, 50(15): 17-23.  DOI: 10.16638/j.cnki.1671-7988.2025.015.004
    Abstract ( )   PDF (720KB) ( )  
    With the rapid growth in the number of electric vehicles, the frequency and quantity of fire accidents involving them are also rising simultaneously, making research on electric vehicle fire safety an urgent and critical issue to address. Focusing on existing studies in the field of electric vehicle fire safety, this paper innovatively applies cluster analysis to construct a "prevention-controlinvestigation" theoretical system for fire safety. It systematically reviews the current research status of electric vehicle fire safety protection, ranging from risk avoidance during the forward research and development phase of electric vehicles, prevention and control of potential hazards in operational supervision, emergency firefighting response when a fire occurs, to post-accident investigation and analysis. The purpose is to provide a scientific reference for academic exploration and engineering practice in this field. Studies show that existing safety protection technologies have such problems as low intelligence level and limited engineering application value, while fire safety prevention technologies based on big data and artificial intelligence will become the core development direction in the future.
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    Intelligent Connected Vehicle
    Obtaining in Road Surface Three-Dimensional Information Based on Binocular Preview
    QIAN Wenbin1,2, KANG Shaopeng1,2* , YANG Jing1,2 , LIU Kailei1,2 , QIANG Hongbin1,2
    2025, 50(15): 24-29,47.  DOI: 10.16638/j.cnki.1671-7988.2025.015.005
    Abstract ( )   PDF (1602KB) ( )  
    Stereo matching is crucial in three-dimensional perception and scene understanding, but traditional binocular recognition methods are prone to significant pixel errors in textureless and textured repetitive scenes, which can affect the accuracy of three-dimensional models. This paper proposes an improved DH-GwcNet based on the depth perception hierarchy module, which solves the problem of road surface texture through the depth perception hierarchy module. The validation on the KITTI 2015 and road surface reconstruction dataset (RSRD) datasets shows that the network significantly reduces pixel errors in disparity maps, and when constructing three-dimensional models and extracting three-dimensional information through disparity maps, its accuracy in road surface roughness under different road surfaces exceeds 90%. This study not only lays the foundation for achieving active control of automotive suspension installation, but also improves the smoothness of vehicle driving to a certain extent.
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    A In-depth Analysis of Human-Machine Interaction Based on a Case of Combined Driving Assistance Automobile Accident
    ZHAO Bowen
    2025, 50(15): 30-36.  DOI: 10.16638/j.cnki.1671-7988.2025.015.006
    Abstract ( )   PDF (2015KB) ( )  
    In the environments of highways and express lanes, the L2 intelligent vehicle automated driving assistance system (ADAS) faces more stringent safety challenges. Once there is a situation where the driver's attention is distracted or there are blind spots in the system's functional coverage, it is highly likely to trigger serious traffic accidents. This paper focuses on an in-depth analysis of a typical accident in which a small passenger car, while driving at a high speed with the active cruise control and automatic steering assistance functions activated, collides severely with a fixed retaining wall ahead. During the research process, multi-source data such as the event data recorder system and in-vehicle logs are comprehensively compared. Moreover, closely combining with the working principles of the autonomous driving system in aspects such as perception and recognition, decisionmaking and planning, and human-machine interaction, the key causes for the vehicle's transition from smooth driving to high-speed collision within a short period are systematically and comprehensively sorted out. This study reveals numerous challenging problems that urgently need to be addressed in the human-machine interaction aspect of the current L2 intelligent vehicle ADAS, providing a theoretical basis and practical guidance for enhancing the safety and reliability of the intelligent driving assistance system
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    Trajectory Planning Strategy for Distributed Electric Vehicles Based on MPC Controller
    WANG Huan
    2025, 50(15): 37-41.  DOI: 10.16638/j.cnki.1671-7988.2025.015.007
    Abstract ( )   PDF (1068KB) ( )  
    Traditional trajectory planning methods have problems such as high computational complexity and easy to fall into local optimal solution, while model predictive control (MPC) is widely used in trajectory planning because it can consider system constraints and has high precision and robustness. This paper proposes an MPC controller based on closed-loop proportional-integralderivative (PID) for electric vehicle trajectory planning. A seven-degree-of-freedom vehicle dynamics model is constructed, it has three degrees of freedom: longitudinal, transverse and lateral. In order to study the steering characteristics, this paper constructs a two-degree-of-freedom vehicle model,integrates the longitudinal control error model and the lateral control error model to form a MPC controller based on PID, and carries out simulation and comparison test based on CarSim/Simulink. The research results indicate that the proposed trajectory planning method in this paper can achieve lane-changing with effective speed control and minimal error. The MPC controller based on closedloop PID demonstrates good accuracy and lateral stability on low-adhesion surfaces
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    Driver Face Detection Method Based on Improved YOLOv8s
    PENG Ling, JIANG Libiao* , WANG Rui, XIE Yangzhong
    2025, 50(15): 42-47.  DOI: 10.16638/j.cnki.1671-7988.2025.015.008
    Abstract ( )   PDF (1891KB) ( )  
    In response to the complex and varied driving scenarios, the large number of parameters in the driver face detection model, and the low recognition accuracy, this paper selects YOLOv8s, which has a small number of parameters, fast detection speed, and high positioning accuracy, as the detector, and designs a driver face detection calculation method based on optimized YOLOv8s to reduce computational complexity and improve detection accuracy. Introducing an attention module in the feature extraction network to increase facial attention, and using a lightweight generalized sequential backward selection (GSBS) module to reduce parameter count. In the feature fusion network, variety of view-group shuffle cross stage partial (VoV-GSCSP) network module and GSBS module are used to reduce the number of parameters, and the upsampling operator content-aware reassembly of features and bidirectional feature pyramid network (BiFPN) structure are used to optimize the feature pyramid and improve the utilization of feature map information. The experimental results show that compared to YOLOv8s, our proposed method not only improves the detection speed of a single image by 6.6 ms, but also increases the average accuracy by 0.5%, meeting the real-time and accuracy requirements of face detection in vehicle systems.
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    Personalized Driving Behavior Modeling and Trajectory Planning Based on Maximum Entropy Inverse Reinforcement Learning
    WU Feng
    2025, 50(15): 48-55.  DOI: 10.16638/j.cnki.1671-7988.2025.015.009
    Abstract ( )   PDF (1267KB) ( )  
    To bridge the gap between decision-making and planning behaviors of autonomous vehicles and human drivers, this paper proposes a personalized decision-making and planning approach based on maximum entropy inverse reinforcement learning (MaxEnt IRL). First, a convolutional-pooling long short-term memory (LSTM) neural network model is used to capture the interaction relationships of surrounding vehicles and predict their trajectories. Second, during the modeling of driving behavior, continuous human behaviors are discretized to reduce the computational complexity of MaxEnt IRL, and a personalized reward function is introduced to reflect the preferences and decision-making processes of individual drivers. Subsequently, a quintic polynomial planning method is employed to solve the trajectory. Finally, the effectiveness of the proposed method is validated in a simulation environment. Experimental results demonstrate that, compared with conventional IRL algorithms, the proposed personalized MaxEnt IRL algorithm significantly reduces the error between planned trajectories and expert trajectories, with the root mean squared error (RMSE) decreasing from 3 m to 0.8 m, while notably enhancing passenger ride comfort.
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    Lane Line Recognition Method Based on Dynamic Relevance Feature
    DENG Zhiqiao
    2025, 50(15): 56-62.  DOI: 10.16638/j.cnki.1671-7988.2025.015.010
    Abstract ( )   PDF (1648KB) ( )  
    At present, lane line detection methods based on deep learning perform well in most scenarios, but they perform poorly in distinguishing lane line instances with complex topological structures. To solve such problems, the article proposes a method for expressing lane instances based on the extraction of relative starting points through dynamic feature association. Firstly, a deep learning model is utilized to extract the foreground points representing the lane line features. Then, based on the global feature information, the association relationship between the foreground points and the starting points of the lane lines is established. Finally, a lane instance clustering algorithm decoder based on dynamically adjusting the starting points is constructed to decode the lane features based on the relative starting points. Meanwhile, the Pull-Push loss is innovatively adopted to dynamically adjust the association state between the foreground point features and the starting point features. This method enables the foreground points to be associated at the relative starting point rather than the absolute starting point, which can effectively overcome the problem of lane line instance detection where the starting point is relatively close. This research has significantly improved the effect in dealing with the problem of lane line instance distinction under complex topologies.
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    Design of an AEB Control System for Light-Duty Trucks
    WANG Yijun
    2025, 50(15): 63-67,90.  DOI: 10.16638/j.cnki.1671-7988.2025.015.011
    Abstract ( )   PDF (4152KB) ( )  
    This paper addresses the issue that traditional autonomous emergency braking (AEB) systems for light-duty trucks cannot balance safety and comfort. A multi-sensor fusion-based hierarchical braking AEB control system is designed. Firstly, the vehicle information in the surrounding environment is obtained through the fusion of vision and millimeter-wave radar, and the accuracy of obstacle recognition is improved by improving the target recognition algorithm. Secondly, considering the driver's comfort during emergency braking and reducing the potential risk of vehicle and driver injury, an AEB hierarchical braking strategy based on different danger levels is established. Finally, the effectiveness of the algorithm is verified through real vehicle tests on a FAW Jiefang Hu6G light-duty truck. The test results show that the designed AEB system can timely remind the driver of the collision risk and effectively avoid the occurrence of collision risks through hierarchical braking when the driver does not respond in time, reducing the harm to the driver
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    Design and Application of Vehicle Smart Gateway Controller Based on S32G399
    YAO Hang
    2025, 50(15): 68-73,95.  DOI: 10.16638/j.cnki.1671-7988.2025.015.012
    Abstract ( )   PDF (4174KB) ( )  
    With the gradual shift of electronic and electrical architecture from distributed to centralized and the proposal of the concept of "software-defined vehicles", service-oriented architecture has also been applied and implemented in automotive electronic development and software design. Based on the next-generation centralized electronic and electrical architecture, this article develops and designs a vehicle-mounted intelligent gateway controller using the NXP dedicated gateway control chip S32G399. The data processing and routing forwarding of the controller's local area network and Ethernet have been efficiently achieved by leveraging the low-latency communication engine, data packet forwarding engine, hardware acceleration engine of the chip, and the protocol stack of the automotive development system architecture based on the classic platform. The automotive development system architecture protocol stack based on the classic platform is deployed on the Cortex-M7 core, and the automotive development system architecture protocol stack based on the adaptive platform is deployed on the Cortex-A53 core. The signal to service is deployed and implemented based on the service-oriented software architecture. The transformation and processing of signals and services are achieved on the Cortex-M7 and Cortex-A53 cores, which greatly enhanced the intelligence of the gateway controller.
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    Design and Research
    Design of Hardware Security Mechanism for EPS Controller Based on Domestic Chips
    LI Caixia, GAO Jiabing, LIU Huijian, WU Gang, DONG Yehui
    2025, 50(15): 74-79.  DOI: 10.16638/j.cnki.1671-7988.2025.015.013
    Abstract ( )   PDF (1335KB) ( )  
    The electric power steering (EPS) system is the core of the steering system in modern automobiles. Its safety and reliability directly affect driving experience and vehicle safety, so it has extremely high requirements for the performance and safety level of the controller chip, and this field has long been monopolized by foreign chips. With the rapid development of the domestic automotive chip industry, the localized application of EPS controller chips has become feasible. Based on software functions, this paper deeply analyzes the hardware requirements of the EPS controller, constructs the hardware architecture of the EPS controller accordingly, and carries out research on the selection of localized chips. In the research, it analyzes in detail the performance parameters and reliability of candidate localized chips, providing a solid basis for chip selection. At the same time, to meet the functional safety requirements of the EPS controller, it designs a complete hardware safety mechanism from four key dimensions: motor control unit (MCU) safety mechanism, pre-driver chip safety mechanism, communication safety mechanism and power supply safety mechanism, laying a solid technical foundation for the localized application of the EPS controller.
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    ESD Protection Architecture and Circuit Design Based on Multi-Voltage Domain Chips
    ZHOU Jianfei1 , GUAN Zhongxu 2 , BAO Huricha2 , LI Linnan2 , ZHAO Yi1
    2025, 50(15): 80-84.  DOI: 10.16638/j.cnki.1671-7988.2025.015.014
    Abstract ( )   PDF (1289KB) ( )  
    When low-voltage and high-voltage domain coexist on a single chip, the electro static discharge protection architecture must be comprehensively designed. It is particularly important to cover all possible discharge paths to ensure circuit protection. Based on the actual design scheme of a chip under silicon on insulator (SOI) process, this article elaborates on the design architecture of electrostatic protection for the situation of multiple voltage domains coexisting, and introduces in detail the discharge paths of the protection circuits of each module and the configuration of transmission line pulse (TLP) generator parameters.The actual sample passes the electrostatic test standard required by the demand. This has significant reference value for new product development under similar development requirements backgrounds.
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    Design and Verification of a Fast Fault Diagnosis Scheme for Vehicle Controllers
    ZHANG Xing1 , ZHAO Jingyi1 , SUN Yuankui1 , LIU Hanyu 2 , WANG Ying1
    2025, 50(15): 85-90.  DOI: 10.16638/j.cnki.1671-7988.2025.015.015
    Abstract ( )   PDF (2840KB) ( )  
    In contemporary automotive diagnostics, technicians and engineers predominantly rely on a two-pronged approach involving fault code retrieval via diagnostic tools and subsequent analysis of controller area network (CAN) bus signals to identify malfunction sources. However, this conventional methodology frequently results in operational inefficiencies. To address this challenge, this study presents an innovative rapid fault diagnosis framework for vehicle controler. First, an automotive open system architecture (AUTOSAR) compliant fault diagnosis application layer architecture is systematically designed for controllers. Second, a novel fault codes displayed in a loop is developed, enabling controller to autonomously broadcast detected fault identifiers through the vehicular CAN network at configurable intervals. Finally, the system's efficacy is rigorously validated using hardware-in-the-loop (HIL) simulation platforms. Experimental results demonstrate that this optimized diagnostic scheme eliminates the time-consuming process of manual signal correlation analysis based on control logic principles. The implementation significantly accelerating both R&D debugging cycles and maintenance operations. This research establishes a methodological foundation for next-generation intelligent fault diagnosis systems in automotive embedded controllers.
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    Reliability Research on the Installation Structure of Instrument Panel Tube Beam for a Certain Commercial Vehicle
    HUA Xijuan, LIU Mao, WANG Tao, QIN Jian, LI Yexin, MA Yue
    2025, 50(15): 91-95.  DOI: 10.16638/j.cnki.1671-7988.2025.015.016
    Abstract ( )   PDF (2933KB) ( )  
    A tracking study on the durability of the instrument panel tube beam mounting points on the body of a certain commercial vehicle model during the reliability road test is conducted, and the body structure is optimized. The 3D model of the body and the finite element simulation model are established respectively by using 3D design software and HyperMesh software. Through the static strength and fatigue analysis of the body structure at the instrument panel tube beam mounting points, an improvement and optimization plan is proposed. After the simulation analysis results of the instrument panel tube beam mounting points of the optimized structure meet the requirements, the real vehicle verification is carried out. The research results show that through the static strength simulation analysis of the installation structure and the fatigue simulation analysis of the strengthened road spectrum, the durability problem of the key mounting points on the body can be solved, and a guiding method for the reliability structure design and performance achievement analysis of the key mounting points on the body is formed.
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    Lightweight Design and Validation of Open Top Containers with Hybrid Materials
    WANG Dan1 , GUO Xinglong2*
    2025, 50(15): 96-101,108.  DOI: 10.16638/j.cnki.1671-7988.2025.015.017
    Abstract ( )   PDF (6705KB) ( )  
    The article designs and verifies an open-top container made of hybrid materials, involving a hybrid material skin of galvanized thin steel sheet and an inner layer of glass fiber/epoxy resin composite (GF/EP). Through simulation analysis, the side panel structure of corrugated board in the original steel scheme is optimized and 5 additional strengthening columns are installed on each of the left and right side panels, and U-shaped reinforcement strips are designed at the connection between the side panels and the bottom panels for reinforcement; meanwhile, riveting/gluing composite bonding process is adopted to replace the resistance welding process in the original steel scheme. Compared with the original steel container (net mass of 2 780 kg), the weight reduction is 320 kg, with a weight reduction ratio of 11.5%; by recording the material flow and energy flow during the production stage of the developed container, the carbon emission per kilogram of the hybrid material production stage is measured to be 3.26 kgCO2e. Fork-lifting, lifting and 100 km road test tests are carried out on the developed container, and the deformation amount of the designed side-plate structure meets the target technical requirements, and each index reaches the standard of the original steel container. The deformation amount of the designed side panel structure can meet the target technical requirements, and all the indexes achieve the expected effect.
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    Testing and Experiment
    Analysis of Driving Conditions for Light-Duty Cargo Vehicles
    DING Wenjun1 , ZHANG Jingjing1 , YAO Xu1 , XU Yi1 , HAN Peng2
    2025, 50(15): 102-108.  DOI: 10.16638/j.cnki.1671-7988.2025.015.018
    Abstract ( )   PDF (1262KB) ( )  
    To enhance the testing accuracy of fuel consumption for light-duty cargo vehicles under driving conditions, this article proposes a research approach to construct driving conditions under different loads and road types. Firstly, a test system is constructed to obtain information such as the engine electronic control unit (ECU), speed and driving trajectory, vehicle posture and fuel consumption rate. Secondly, based on the roads in Hefei city and its surrounding counties and cities, test routes covering urban areas, urban-rural areas, mountain roads and expressways are selected. Secondly, road tests and data processing are carried out. Road tests are conducted under no-load, half-load, 75% load and full load conditions. A total of 29 criteria, including fuel consumption,vehicle speed distribution and acceleration distribution, are designed. The driving conditions including slope and gear position information are constructed by using the short-stroke method and the fixed-step method. Finally, after nearly a hundred rounds of chassis dynamometer tests and adjustments to the operating condition curves, the comprehensive fuel consumption accuracy of the four loads under driving conditions is within 5%. Therefore, the research method for the driving conditions of light-duty cargo vehicles proposed in the article is feasible and has certain reference value for the research on the working conditions of similar commercial vehicles.
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    Fatigue Failure Analysis of Thrust Rod Head Caused by Surface Defects
    SHAO Hua, YANG Hui, REN Leiguang, ZHANG Lanlan
    2025, 50(15): 109-112,148.  DOI: 10.16638/j.cnki.1671-7988.2025.015.019
    Abstract ( )   PDF (4195KB) ( )  
    There have been times when the thrust rod have been failed, there are different types of failure modes, but failure caused by surface defects is not easily detected. This paper analyzes the modes and causes of fracture failure of the rod head during fatigue testing using analytical methods such as chemical composition testing, hardness testing, microstructure observation, macroscopic and microscopic observation of the fracture. The results indicate that the combined effects of surface decarburization and corrosion defects on the rod head creates stress concentration points. Under the effects of alternating stress, cracks start to sprout from the stress concentration points and propagate from the outside to the inside until fracture failure occurs.
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    Process·Materials
    Application of Industrial Robot Digital Twin Technology in Automotive Wheel Hub Production
    WU Zhen
    2025, 50(15): 113-117.  DOI: 10.16638/j.cnki.1671-7988.2025.015.020
    Abstract ( )   PDF (1852KB) ( )  
    The traditional domestic automotive wheel hub production lines have many problems, such as low levels of intelligence, the need for a large number of workers to assist in multiple production links, and low production quality and efficiency. This article conducts an in-depth analysis of the traditional production process of automotive wheel hubs, applies the digital twin technology of industrial robots to the production of automotive wheel hubs, builds a digital twin model of the actual production line through the virtual debugging software PQFactory, and successively completes the definitions of each sensor and state machine variable. Through the commissioning and operation verification of the digital twin automotive wheel hub production line, the intelligent control and operation of the production line have been achieved, improving the quality and efficiency of automotive wheel hub production.
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    Flow Mark Appearance Quantitative Evaluation System for Polypropylene Material Injection Molding Parts Used in Automobile
    ZHENG Wen, YANG Bo, YE Nanbiao, LIU Qixiang, LUO Zhongfu
    2025, 50(15): 118-121.  DOI: 10.16638/j.cnki.1671-7988.2025.015.021
    Abstract ( )   PDF (2331KB) ( )  
    Thin walled large-sized parts are prone to flow marks during injection molding, while traditional visual judgment is subjective and greatly affected by environmental and human factors. Therefore, a more objective evaluation system for appearance flow marks should be studied. The flow mark index (FMI) is introduced to quantitatively evaluate the severity of appearance defects in sample flow marks. Using a long rectangular mold to reproduce the flow marks caused by the injection molding of automotive interior and exterior trim with polypropylene.Measure the distance between the flow mark and the gate, evaluate the visibility of the flow mark, and observe the number of continuous stripes, and convert the above indicators into formulas to obtain FMI. The comparison between FMI and the actual injection molded sample shows good consistency in the degree of flow marks on the appearance. FMI not only provides quantitative indicators for the appearance defects of flow marks, but also provides reference for the causes of appearance defects that occur in the early formulation development, reducing the manpower and material investment caused by blind experiments.
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    Automobile Education
    Exploration on Information Technology-Empowered Teaching Methods for Automobile Construction
    MA Zhilei
    2025, 50(15): 122-127.  DOI: 10.16638/j.cnki.1671-7988.2025.015.022
    Abstract ( )   PDF (1895KB) ( )  
    To strengthen the process management and process-oriented assessment of the Automobile Construction course, while expanding industry background and cultural education, this paper constructs a "2+1" supported Automobile Construction course system. Relying on the platforms and means brought by the development of information technology, it strengthens the teaching process management and process-oriented assessment through "Rain Classroom" and "DingTalk HomeSchool Group", which effectively expands the teaching time and space and helps students deepen their understanding of professional theoretical knowledge; it builds a digital database of local ideological and political elements with the help of the "WeChat Official Account" platform to guide students to deeply recognize the industry background and culture. This information technologyempowered "2+1" Automobile Construction course extends course management and education beyond the classroom, achieving a dual improvement in teaching efficiency and quality.
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    Output-Oriented Ideological and Political Teaching Design and Practice of Automotive Electronic Control Technology Course
    CHEN Guang, WANG Gang, YU Chengjiao, SUN Xiuxiu, LIU Xiaoang
    2025, 50(15): 128-132.  DOI: 10.16638/j.cnki.1671-7988.2025.015.023
    Abstract ( )   PDF (1066KB) ( )  
    Curriculum-based ideological and political education is an important measure to implement moral education and talent cultivation in course teaching. However, at present, the implementation of ideological and political education in professional courses is only at the conceptual level, and the implementation effect is too vague and general. Ideological and political education in courses has not been regarded as an integral part of the professional course evaluation system. Taking the Automotive Electronic Control Technology course as an example, based on the output-oriented teaching design concept of professional courses, this article establishes a professional course ideological and political design framework from the graduation requirement index points-ideological and political teaching objectives of the course-design of ideological and political elements of the course-effect evaluation and improvement. Based on the graduation requirement indicators, re-examine the teaching objectives, contents and assessment methods of the courses. Based on the relevant graduation requirement indicators of ideological and political education in the course and integrating the characteristics of ideological and political education in the course, determine the specific meaning of the ideological and political teaching objectives of this course. Based on this, determine the teaching modules related to ideological and political goals, design the relevant teaching content nodes and assessment forms. Through the assessment and evaluation of actual knowledge, ability and thinking, it provides the driving force for the continuous improvement of the ideological and political education effect in professional courses, offers feasible solutions for the overall design and implementation of ideological and political education in engineering education professional courses, and also provides ideas and references for the continuous improvement of the ideological and political education effect in professional courses.
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    Exploration and Practice of the Project Based Talent Training Model for the Whole Process of "Discipline Competition" under the Background of New Engineering -Taking the Vehicle Engineering Major of Shanxi College of Technology as an Example
    CHEN Lichun, WU Fei, ZHANG Zhong
    2025, 50(15): 133-136,141.  DOI: 10.16638/j.cnki.1671-7988.2025.015.024
    Abstract ( )   PDF (1543KB) ( )  
    In view of the situation where students complete the preset practical content step by step under the traditional practical teaching mode and the practical effect is not good. Taking the vehicle engineering major of Shanxi College of Technology as an example, this article elaborately introduces the current situation and existing problems of professional talent cultivation, and proposes relevant ideas and measures of "1 center+N competitions+3 levels" for the whole-process project-based talent cultivation of the vehicle engineering major's "discipline competition" under the background of new engineering. It organically integrates in-class and out-of-class practical teaching with discipline competitions and has achieved certain results. Provide a reference for the reform of talent cultivation in local applied undergraduate colleges.
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    The Reform and Practice of the Teaching Mode of Microcontroller Principle and Interface Technology Course from the Perspective of Professional Integration
    WANG Jia, ZHAO Gengyun
    2025, 50(15): 137-141.  DOI: 10.16638/j.cnki.1671-7988.2025.015.025
    Abstract ( )   PDF (1157KB) ( )  
    In response to the problems of abstract content and strong comprehensiveness in the teaching process of the course of Microcontroller Principles and Interface Technology, combined with the characteristics of vehicle engineering, the teaching mode reform is carried out with the aim of cultivating new engineering talents with the ability to design and develop automotive microcontroller systems. Based on actual engineering projects, a teaching model of "project driven, teacher guided, and student-centered" is adopted to design an integrated teaching content of "teaching- learning-doing-creation" from "tasks (teaching, learning) to projects (doing, creating)". Professional ideological and political cases are integrated into classroom teaching, a diversified curriculum evaluation system is established, and a "professional education+practical innovation" curriculum teaching model is constructed. A certain teaching class is used as a pilot for practice, and the average score and pass rate of students are significantly improved. Through continuous teaching, practice, reflection, and improvement, the integrated teaching of this course has achieved good application results, and students' professional and innovative practical abilities have significantly improved.
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    Research on the Path of Integrating the Spirit of Craftsmanship into the Cultivation of New Energy Vehicle Technology Professionals under the Background of Industry-Education Integration
    TAN Yanwei
    2025, 50(15): 142-148.  DOI: 10.16638/j.cnki.1671-7988.2025.015.026
    Abstract ( )   PDF (1151KB) ( )  
    Currently, the new energy vehicle industry is in a stage of rapid development. Technological innovation and industrial upgrading have put forward higher requirements for talents. To adapt to the industry's development, for vocational colleges, it is urgent to cultivate high-quality technical and skilled talents with a craftsman spirit. The professional qualities such as dedication, pursuit of excellence, and continuous improvement contained in the craftsman spirit are the core elements of talent cultivation in the new energy vehicle field. Based on the background of industry-education integration, this paper explores the core value of the craftsman spirit in the cultivation of talents in the new energy vehicle technology major, systematically analyzes the current situation and difficulties in the cultivation of the craftsman spirit, and proposes specific paths for integrating the craftsman spirit into the entire process of talent cultivation in the new energy vehicle technology major from the dimensions of promoting the spirit of craftsmanship, advancing the "three teaching" reform, conducting skills competitions, deepening industry-education integration, and improving the evaluation system, with the aim of providing references for the cultivation of high-quality technical and skilled talents in vocational colleges.
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    Teaching Exploration on Cultivating Patriotism and Innovative Consciousness in Intelligent Connected Vehicle-related Courses
    ZHANG Chenyun1 , JIN Jianjiao2
    2025, 50(15): 149-153,164.  DOI: 10.16638/j.cnki.1671-7988.2025.015.027
    Abstract ( )   PDF (1189KB) ( )  
    With the rapid development of intelligent connected vehicle technology, vocational colleges are actively setting up related majors. Starting from condensing the teaching objectives of the relevant courses, this article deeply analyzes the goals of knowledge, quality and ability. By ingeniously integrating multiple elements such as flipped classrooms, inspiring discussions and science fiction films, it naturally integrates patriotic and innovative education while imparting professional knowledge. Especially by taking advantage of the international competition background of intelligent connected vehicles, students can deeply understand the importance and sense of mission of our country in this field. This teaching method can effectively inspire students' determination to strive for the goal of becoming a "strong automotive country". Teaching practice has fully demonstrated that integrating ideological and political elements into professional knowledge and closely linking them with industry development and competition can not only better achieve the course goals related to intelligent connected vehicles, but also effectively explore and implant ideological and political elements into the courses, cultivating students' patriotism and innovative consciousness.
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    Reform and Exploration of Practical Teaching of Electric Vehicle Performance Test Training
    FU Yajun
    2025, 50(15): 154-158.  DOI: 10.16638/j.cnki.1671-7988.2025.015.028
    Abstract ( )   PDF (1394KB) ( )  
    In order to enhance the quality of talent cultivation, promote the integration of industry and education, and meet the school's demands for cultivating applied and innovatived talents, in response to the needs for further reform of the traditional practical teaching of Electric Vehicle Performance Testing Training, this paper proposes measures such as adjusting the content of practical teaching courses, implementing a diversified assessment and evaluation system, constructing multiple teaching models including "online and offline blended teaching+digital teaching+practical training in the base+integration of ideological and political education in the course", and fully utilizing the newly introduced advanced equipments in the laboratory to jointly complete the experimental projects. The teaching reform exploration has been steadily advancing in two classes of the 2021-level new energy vehicle engineering major, involving a total of 64 students, and has achieved the expected experimental results, with certain promotion and application value.
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    Research on the Construction of Diversified Teaching Evaluation System for Electric Vehicle Control Technology Course
    ZHU Qunfu
    2025, 50(15): 159-164.  DOI: 10.16638/j.cnki.1671-7988.2025.015.029
    Abstract ( )   PDF (983KB) ( )  
    The evaluation system for Electric Vehicle Control Technology course teaching needs to be innovated to improve the quality of applied talent cultivation. The purpose of the research is to construct a scientifically sound and diversified teaching evaluation system, highlighting the orientation of ability cultivation, and fully utilizing the diagnostic, motivational, and improvement functions of evaluation. The study uses literature research method to systematically analyze the main problems of traditional teaching evaluation. Based on this, a basic framework for diversified teaching evaluation is constructed from four key dimensions: expanding the evaluation subject, enriching the evaluation content, innovating the evaluation method, and applying the evaluation results. After applying this evaluation system in teaching practice, it is found that the constructed diversified teaching evaluation system can comprehensively evaluate students' comprehensive abilities, with more comprehensive and objective evaluation, clearer ability orientation, significantly improves student participation enthusiasm, and continuous improvement in talent cultivation quality. The diversified teaching evaluation system has a positive effect on promoting students' comprehensive development and improving the quality of talent cultivation, and is worth promoting and applying in similar courses.
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