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30 August 2025, Volume 50 Issue 16 Previous Issue   
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Intelligent Connected Vehicle
Design and Research
Testing and Experiment
Process·Materials
Automobile Education
Standards·Regulations·Management


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Intelligent Connected Vehicle

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Research on Adversarial Example Generation for Robustness Testing of Speed Limit Traffic Sign Recognition Algorithms ZENG Aimin1 , MAO Hongmin1 , JIA Wei2* 2025, 50(16): 1-7.  DOI: 10.16638/j.cnki.1671-7988.2025.016.001 Abstract ( )   PDF (2415KB) ( )   To efficiently evaluate the robustness of traffic sign recognition algorithms, particularly those for speed limit signs, this paper proposes an adversarial sample generation framework. Traffic signs are processed using various transformation algorithms, including illumination and angle transformations, to simulate environmental changes. The transformed images are embedded into real road backgrounds to mimic realistic traffic scenarios. A deep learning model is employed to process these embedded traffic images containing speed limit signs. Single bounding box and multiple bounding box filters are utilized to screen out bounding boxes for anti-disturbance training. During the training process, four loss functions are designed based on four distinct expected attack effects: target attack, hidden attack, non-target attack, and revealed attack. These functions are used to calculate the loss values. The back-propagation algorithm is then applied to update the adversarial perturbations, ultimately generating adversarial samples. This framework can rapidly generate adversarial samples capable of simulating four types of attacks, thereby assessing the robustness of traffic sign recognition algorithms, especially those for speed limit signs. Furthermore, the generated adversarial examples can be transferred to real-world physical vehicle testing environments, assisting developers in optimizing traffic sign recognition algorithms. References | Related Articles | Metrics

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Research on Hybrid Steering Control Technology for 8×8 All-Terrain Unmanned Vehicle MENG Zhaoxia, TAO Jun, LI Hao, LU Dong, LI Xueliang 2025, 50(16): 8-13.  DOI: 10.16638/j.cnki.1671-7988.2025.016.002 Abstract ( )   PDF (1394KB) ( )   To enhance the low-speed maneuverability and high-speed stability of an 8×8 all-terrain unmanned vehicle, this paper proposes a hybrid steering control method that combines wirecontrolled Ackermann steering with in-wheel motor differential steering. Based on the upper-layer reference speed, curvature, and required steering characteristics, the method calculates the reference yaw rate of the vehicle. It then derives the required front wheel angle and required feedforward differential torque by integrating with the vehicle dynamics model. Meanwhile, considering the yaw rate tracking error and motor torque constraints at high speeds, a yaw rate tracking strategy based on the feedback of in-wheel motor differential torque is designed. Vehicle test verification shows that compared with traditional differential steering control, this hybrid strategy exhibits superior yaw rate tracking performance in both low-speed small-radius turns and high-speed path tracking, effectively achieving the dual improvement of the vehicle's low-speed maneuverability and high-speed stability. References | Related Articles | Metrics

Design and Research

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Topological Design of Special Equipment for Heavy-Duty Working Condition Fan Blade Transport Vehicle MA Hongxin 2025, 50(16): 14-18,30.  DOI: 10.16638/j.cnki.1671-7988.2025.016.003 Abstract ( )   PDF (1345KB) ( )   : To enhance the transportation safety and reliability of wind turbine blade transport vehicles under heavy load conditions, the article conducts a topology optimization on its device. Using HyperMesh software, a finite element model of the dedicated transport device is established, and the base chassis and main reinforcing plates are optimized through the variable density method. The results show that the maximum displacement (17.05 mm) under full load occurs at the upper part of the quick-release chassis, and the maximum stress (557 MPa) is located at the bolt connection between the quick-release chassis and the slewing bearing. After topology optimization, the overall mass is reduced by 296.2 kg, achieving the goal of lightweighting while meeting the requirements of stiffness and strength. The research results can provide theoretical reference and guidance for the development of wind turbine transport devices. References | Related Articles | Metrics

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Design and Application Research of an Intelligent Anti-Drunk Driving Warning System QI Di 2025, 50(16): 19-23.  DOI: 10.16638/j.cnki.1671-7988.2025.016.004 Abstract ( )   PDF (943KB) ( )   Drunk driving has become a significant hidden danger to traffic safety and one of the main causes of serious casualties, seriously threatening people's lives and property safety. Therefore, designing an effective drunk driving detection system is crucial for improving traffic safety. This paper designs an intelligent anti-drunk driving early warning system, which can monitor the driver's alcohol content in real time and issue an alarm when the content exceeds the preset threshold. Tests show that the system has strong real-time performance, low cost and low power consumption, which can help reduce the incidence of drunk driving and the occurrence of traffic accidents, with broad market prospects References | Related Articles | Metrics

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Optimization Design of Driving Space for Baja Racing Cars Based on Ergonomics LI Haowei 2025, 50(16): 24-30.  DOI: 10.16638/j.cnki.1671-7988.2025.016.005 Abstract ( )   PDF (3682KB) ( )   In response to the increased requirements for racing car space allocation in the dynamic events of the Baja competition, this study aims to optimize driver escape rates and driving comfort. Based on ergonomic theory and with college student drivers as the research subjects, it identifies braking comfort, collision perception on bumpy roads, and escape efficiency as key influencing indicators. Combined with the standard height and weight of college student drivers, it adjusts the dimensions of key components such as the side members of the lower frame and the side anticollision members. Using SolidWorks and CATIA software, it constructs 3D models of the racing car and the human body, and conducts a comparative analysis of relevant indicators before and after the dimension adjustments. The research results show that after adjusting the dimensions of some pipe fittings, the escape time of drivers with different weights is shortened by approximately 0.4 s, when the brake pedal stepping angle is 67°and the steering wheel joystick length is 75 cm, driving comfort can be significantly improved while ensuring driving safety. This study provides a scientific basis and theoretical support for the optimal design of Baja racing car driving space and the safe conduct of competitions. References | Related Articles | Metrics

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Simulation Analysis and Optimization of A-Frame of Rigid Mining Vehicles LI Haiqiang 2025, 50(16): 31-34.  DOI: 10.16638/j.cnki.1671-7988.2025.016.006 Abstract ( )   PDF (1060KB) ( )   As the core component of roigid mining vehicles, the A-frame must have high strength, high reliability and fatigue resistance. Through the analysis software, this paper first conducts multi-case simulation analysis on the newly developed A-frame of a rigid mining vehicle, verifies the strength performance of the new design scheme, and evaluates the risks. Then based on the analysis results, material and process optimizations are applied to multiple structural components. Finally, the optimization plan is analyzed and verified, sample development, loading verification, and the two-year mining area reliability verification is completed. The study achieves dual optimization of performance improvement and weight reduction for the A-frame. It is proved that by adopting simulation analysis optimization methods during the structural product scheme design phase, the reliability of the A-frame is not only improved, but also improved project development efficiency and shortened product research and development cycle References | Related Articles | Metrics

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Simulation Research and Verification of Engine Hood Vibration and Abnormal Noise During Driving HAN Erhong 2025, 50(16): 35-39,44.  DOI: 10.16638/j.cnki.1671-7988.2025.016.007 Abstract ( )   PDF (1623KB) ( )   To thoroughly address the issues of engine hood vibration and abnormal noise during driving, this article conducts a detailed investigation and analysis of the problem phenomena, and deeply studies the underlying physical mechanisms and influencing factors by establishing a vibration model. Based on the research results of this mechanism, a computer aided engineering (CAE) simulation model is further constructed in combination with the actual vehicle conditions. The key parameters and target values for controlling the driving vibration of the engine hood are clarified, and the effectiveness of these measures is verified. Based on the research results, the relevant enterprise technical standards are revised to effectively prevent similar problems from occurring in subsequent vehicle models. References | Related Articles | Metrics

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Accurate Calculation and Analysis of the Steering Rack Force of the Virtual Kingpin Double Wishbone Front Suspension WU Helong 2025, 50(16): 40-44.  DOI: 10.16638/j.cnki.1671-7988.2025.016.008 Abstract ( )   PDF (997KB) ( )   This paper proposes an accurate calculation method of rack force based on virtual kingpin theory, which is limited by the calculation method of rack force in traditional steering system for more complex suspension systems. The study first analyzes the main structural types of electric power steering systems currently under development, and emphases the importance of precise rack force calculation in steering system selection. Taking double wishbone suspension as a case study, it examines the kingpin structure and kinematic characteristics of this suspension type, and reveals their inherent structural impacts on steering rack force calculation. By comprehensively considering front wheel alignment parameters, a novel calculation method for steering system rack force is established. Through comparative analysis with traditional calculation methods across multiple vehicle models and validation via engineering case studies, this approach demonstrates enhanced effectiveness and precision in power assistance control compatibility. The methodology provides a theoretical basis for matching design between double wishbone suspensions and steering systems. References | Related Articles | Metrics

Testing and Experiment

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Research on the Prediction Method of Driving Resistance of Heavy-Duty Vehicles under Arbitrary Loads WANG Xianzhi1 , SHANG Xun2 , LI Tengteng2 , WANG Fengbin2 , ZHAO Jianfu2* 2025, 50(16): 45-50.  DOI: 10.16638/j.cnki.1671-7988.2025.016.009 Abstract ( )   PDF (1851KB) ( )   The driving resistance of a vehicle under arbitrary load is the foundation for conducting dynamic simulation and chassis dynamometer testing. Based on the sliding test results of heavy vehicles under a certain load, this paper proposes coasting momentum method and coasting equal power method based on the principle of momentum conservation and power conservation to predict the resistance performance of vehicles under full load quickly and accurately. In addition, an exhaustive optimization algorithm is proposed to further improve the prediction accuracy. The accuracy of the above methods is verified using an N3 dump truck, and the study found that both the coast-down momentum method and the coast-down equal power method provided better prediction results than the interpolation method, with errors controlled within 10%. Although both methods demonstrated strong correlation with initial known data, the sliding momentum method exhibited broader applicability and higher accuracy References | Related Articles | Metrics

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Correlation Analysis of Pedestrian Protection Head Shape Collision Test Based on Finite Element Method LIU Gang 2025, 50(16): 51-55.  DOI: 10.16638/j.cnki.1671-7988.2025.016.010 Abstract ( )   PDF (1471KB) ( )   Pedestrian as the vulnerable group among traffic participants, have their safety issues drawing considerable attention. Based on the pedestrian protection test procedures of the European new car assessment programme (E-NCAP), this paper conducts simulation analysis and experimental verification of pedestrian protection headform impact using the finite element method. Ten impact positions are selected for the test to evaluate the correlation between the headform impact simulation and the experiment. The results show that the deviation at each impact position is controlled within 10%, meeting the requirements of E-NCAP. The deviation range between the simulation values and the experimental values at most impact positions is between -9.7% and 1.3%, demonstrating a high consistency between the simulation and the experiment, which provides reliable data support for the optimization of pedestrian protection design. References | Related Articles | Metrics

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Study on Influencing Factors and Performance Improvement of Heavy-Duty Vehicle Engine Cooling System LI Sisi, HAN Tianqi, WEN Yilun, SUN Kun 2025, 50(16): 56-59.  DOI: 10.16638/j.cnki.1671-7988.2025.016.011 Abstract ( )   PDF (1079KB) ( )   To investigate the influence of key components of the heavy-duty vehicle engine cooling system on its cooling performance, a computational fluid dynamic (CFD) simulation method is adopted. Based on three-dimensional modeling, a systematic analysis is conducted on critical parameters such as radiator air-side resistance, fan blade number, and fan speed ratio. The results indicate that the radiator air-side resistance is significantly and linearly negatively correlated with the engine's allowable ambient temperature,lower resistance allows the engine to withstand higher ambient temperatures. An increase in the fan speed ratio notably enhances the air velocity across the radiator surface, thereby raising the allowable ambient temperature in a linear fashion. Increasing the number of fan blades can improve cooling performance within a certain range. The results of the full vehicle thermal balance tests are consistent with the simulation trends, fully validating the findings and providing a theoretical basis for forward design and optimization of the cooling system. References | Related Articles | Metrics

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Analysis of Data Processing Methods for Road Load Spectrum Acquisition XIAO Mingming, ZHOU Yanwen, ZHANG Lei, TIAN Pengtao 2025, 50(16): 60-65.  DOI: 10.16638/j.cnki.1671-7988.2025.016.012 Abstract ( )   PDF (1232KB) ( )   The quality of road load spectrum data is crucial for vehicle reliability research and development. This paper systematically expounds core processing methods based on engineering practice, typical working conditions are screened through multi-dimensional user surveys (driving routes, load, failure modes, etc.) and big data technology to determine acquisition routes. Measurement points are selected by balancing sensitivity and economy, covering key positions such as wheels, frames, and cabs to collect multi-type load signals. Sampling frequency setting is optimized based on the Nyquist sampling theorem and engineering experience, with anti-aliasing filters configured and signal integrity verified. In the preprocessing stage, data is purified through high-pass filtering (zero drift correction), shear replacement (spike correction), and physical rule verification (multi-signal correlation validation) to ensure signal consistency and usability. This study provides a replicable solution for load spectrum acquisition under complex working operating conditions, contributing to improve data reliability and vehicle research and development efficiency. References | Related Articles | Metrics

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Functional Test Vector Generation and Verification System ZHANG Tong1 , GUAN Zhongxu 2 , BAO Huricha2 , LI Linnan2 , ZHANG Wei1 2025, 50(16): 66-69,100.  DOI: 10.16638/j.cnki.1671-7988.2025.016.013 Abstract ( )   PDF (962KB) ( )   Functional test is an essential step in integrated circuit testing, and test vector is the main carrier of functional test. Efficiently and accurately generating functional test vector is the key of testing efficiency and cost. In view of the problems of low efficiency and insufficient redundant comparison in the existing functional test vector generation method based on simulation, this paper proposes a software-based and configurable functional test vector generation and verification system. By utilizing configuration files and test programs, initiatively configure the testing stimuli and response outputs for each step, automatically convert the testing program to the testing port to form stimuli, and assemble all test vector sequences from top to bottom, greatly reducing test vector generation time. Simultaneously generate a reverse self-check verification testbench, using the test stimuli in the vector as the simulation input, comparing the real output of the simulation with the configuration response one by one, and reporting the mismatch points to verify the correctness of the vector, iteratively generating accurate functional test vector References | Related Articles | Metrics

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Fatigue Analysis and Improvement of Post Processor Bracket Based on Digital Electrodynamic Vibration Test Bench WU Xiaoxiao, YANG Qingshan, AI Yahong 2025, 50(16): 70-72，94.  DOI: 10.16638/j.cnki.1671-7988.2025.016.014 Abstract ( )   PDF (1489KB) ( )   In this article, the post processor assembly of a heavy duty truck occurres bracket localized cracking problem during the testing process of electromagnetic vibration test system. Proposes a simulation analysis and improvement method based on digital electrodynamic vibration test system. By establishing digital electrodynamic vibration test system simulation model, reproduces and locates the weak links of bracket cracking. The structure of the bracket is targeted optimized according to the simulation analysis results. The bracket improved design is validated through the confirmation of digital electrodynamic vibration test system, and no cracking occurres in the physical bench test. This validates the effectiveness of the simulation model. By establishing simulation analysis of digital electrodynamic vibration test system, can significantly improve the fatigue durability design efficiency of assemblies and components, shorten product validation cycles, reduce product development costs, and provide an efficient technical pathway for the reliability verification of heavy-duty truck components. References | Related Articles | Metrics

Process·Materials

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Lightweight Design and Numerical Simulation of Box-type Logistics Vehicle Cabin ZHAO Jianhua, GUO Runjie, LIAO Junjie, CHEN Kejun, YAN Jikang* 2025, 50(16): 73-78.  DOI: 10.16638/j.cnki.1671-7988.2025.016.015 Abstract ( )   PDF (4161KB) ( )   Aluminium alloys have the advantages of high specific strength and good corrosion resistance. The use of aluminium alloys as a substitute for steel in the skeleton of wingspan box-type vans has important practical value. Basalt fibre is a natural volcanic basalt resources, with low density, high strength, good corrosion resistance and other advantages, combined with high-strength resin polypropylene (PP) synthesis of new composite materials basalt fibre reinforced polypropylene (PP/BF) composite material. It can be used to replace the traditional vehicle cabin door material T700 steel. By using ABAQUS, the frame material is replaced from Q235 to 7075 alloy, and the cabin door material is replaced from T700 to PP/BF. Finite element analysis is carried out for the cabin before and after replacing the materials under different working conditions. The results show that the aluminium alloy skeleton structure meets the strength and other design requirements, the overall weight reduction of the cabin is 17%, and all working conditions meet the safety standards, so the optimized design scheme is desirable. References | Related Articles | Metrics

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Research on Production Capacity Enhancement of Automotive Assembly Lines Based on Line Balancing Technology CAO Mingqiang, LIU Yingming 2025, 50(16): 79-81,88.  DOI: 10.16638/j.cnki.1671-7988.2025.016.016 Abstract ( )   PDF (911KB) ( )   In response to the problem of production capacity waste caused by unbalanced process rhythms on automotive assembly lines, this paper, in combination with the lean production concept, explores the application path of line balancing technology in enhancing the production capacity of multi-model mixed lines, aiming to improve the enterprise's capacity switching ability between peak and off-peak seasons and market response efficiency. By analyzing the production and assembly process of new energy vehicle models, this article adopts a modular approach to decompose the operation units, quantifies the standard operation time of each process, uses the line balancing method to optimize the capacity bottleneck of the line body, and implements a dynamic adjustment strategy for line division. This method effectively reduces process waste, improves the overall balance rate and final capacity output of the assembly line body, providing a feasible technical support and solution for the flexible production of assembly lines. References | Related Articles | Metrics

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Impact Analysis of Automotive Electric Struts and Other Door Cover Accessories on the Tailgate Deformation XIAO Tao, CHEN Zhijia, ZHAO Jianhang, ZHANG Wei 2025, 50(16): 82-84,132.  DOI: 10.16638/j.cnki.1671-7988.2025.016.017 Abstract ( )   PDF (1114KB) ( )   This paper primarily investigates the impact of automotive electric struts and other door cover accessories on the tailgate deformation. Firstly, summarizes all the factors that cause the door cover deformation, and then conducts a specific analysis of how they affect the door cover deformation. Then, the specific force values of the struts are obtained through mechanical model analysis, and these force values are applied to computer-aided engineering (CAE) simulation analysis. Finally, a CAE analysis structure that is relatively close to the actual working conditions is obtained. Research can predict the door cover deformation during the automotive design stage and reduce quality rectification in the later stage through structural optimization. References | Related Articles | Metrics

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Research on the Oil Leakage Problem of the Reversing Cylinder in Sealed Automotive Cabs HE Danli, GUO Mingqiang, LU Yuzhou 2025, 50(16): 85-88.  DOI: 10.16638/j.cnki.1671-7988.2025.016.018 Abstract ( )   PDF (2013KB) ( )   In response to the oil leakage problem of the reversing cylinder in a certain car cab, this article analyzes factors such as the structure, assembly process, and component quality of the reversing cylinder. It is found that the unreasonable structural size of the cylinder sealing ring groove leads to the formation of sharp corners during processing. When the sealing ring is inserted into the ring groove, it is damaged due to the compression caused by the extension and retraction of the piston rod. The groove of the cylinder liner sealing ring is changed from a secondary angle of 75°to a right angle of 90°, and the edge angle r is changed from 0.2 to 0.3. In the assembly process, roughness detection and grease application procedures are added. At the same time, the original one sealing ring is changed to two, effectively solving the problem of oil leakage in the overturning cylinder. References | Related Articles | Metrics

Automobile Education

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Research on the Construction and Optimization of Electrical Control Course Clusters in New Energy Vehicle Engineering Programs SUN Jinwei, YAN Jiao, WU Ling 2025, 50(16): 89-94.  DOI: 10.16638/j.cnki.1671-7988.2025.016.019 Abstract ( )   PDF (1387KB) ( )   Combining the outcome-based education (OBE) and conceive–design–implement– operate (CDIO) concepts, this paper explores the construction and implementation of an electrical control course system for new energy vehicle engineering programs. Construct the corresponding relationship between the course content and ability requirements in line with the specific ability requirements of the industry for talents. Specify the course objectives according to the course content. On the basis of optimizing and integrating the existing course content, introduce guiding projects. Integrate the knowledge, abilities, and qualities included in the curriculum system to cultivate students' comprehensive and innovative capabilities in the field of new energy vehicles. Practical evidence demonstrates that the electrical control course cluster has a significant effect on the ability improvement of students majoring in new energy vehicle engineering, providing a beneficial reference for the construction of engineering curriculum system of new energy vehicles. References | Related Articles | Metrics

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The Teaching Reform of Automotive Electrical and Electronic Courses Empowered by Artificial Intelligence QIN Fuzhen, HUANG Gaiyun 2025, 50(16): 95-100.  DOI: 10.16638/j.cnki.1671-7988.2025.016.020 Abstract ( )   PDF (1411KB) ( )   This article, supported by core artificial intelligence technologies, systematically constructs an intelligent teaching system covering the entire chain of Automotive Electrical and Electronic courses. It centers on six core modules:"24H intelligent learning companion, dynamic homework management, adaptive teaching design, ecological question bank construction, knowledge graph architecture, and classroom interaction assistance". By deeply integrating key course contents such as Automotive Circuit Fundamentals, Motor Control Technology, and Electronic System Applications, it forms a closed loop throughout the entire process of "teaching– learning–practicing–testing–evaluation". Through the application of large model assisted teaching technology, the article effectively addresses bottlenecks in traditional teaching, such as low efficiency in transforming abstract concepts and significant differences in students' individual cognition, achieving breakthroughs in both knowledge transmission and skill cultivation. This article holds great significance in improving teaching quality, promoting educational innovation, facilitating industry integration, and supporting student development, providing valuable references for colleges and universities in reforming artificial intelligence (AI) empowered course teaching. References | Related Articles | Metrics

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Practice and Exploration of Teaching Reform in Automotive Simulation Software Based on Artificial Intelligence YAN Jiao, LI Yuhan, SUN Jinwei, WU Ling 2025, 50(16): 101-104.  DOI: 10.16638/j.cnki.1671-7988.2025.016.021 Abstract ( )   PDF (1058KB) ( )   With the rapid development of artificial intelligence (AI) and artificial intelligence generated content (AIGC) technologies, the education sector has ushered in unprecedented opportunities for transformation. This paper takes the teaching of automobile simulation software in the School of Vehicle Engineering of an applied undergraduate college in Xi'an as the research object, and explores how to achieve innovation and reform of teaching models by constructing knowledge graphs and introducing AI technology. Through questionnaire surveys and analysis of teaching practice data, the effectiveness of the reform measures has been verified, providing useful references for the reform of professional course teaching in universities. References | Related Articles | Metrics

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Practice of Teaching Reform in New Energy Vehicle Drive Motor and Control Technology XU Huiming, HU Shiping, YAO Qingfeng, CHENG Ying, REN Yuanlin 2025, 50(16): 105-110.  DOI: 10.16638/j.cnki.1671-7988.2025.016.022 Abstract ( )   PDF (1323KB) ( )   Based on the professional teaching standards for new energy vehicles, this paper analyzes the current status characteristics and existing problems of the New Energy Vehicle Drive Motors and Control Technology course in higher vocational colleges, reconstructs the teaching content by deeply integrating professional positions with the curriculum in line with industry requirements, establishes a "dual-engine, four-drive" teaching strategy, puts into practice a three-dimensional progressive closed-loop empowering evaluation system, and forms a "seven-step integration, five-dimensional synergy" ideological education framework. Enterprise interviews and longitudinal tracking studies show that after the reform, students have achieved a 95% pass rate for the intelligent new energy vehicle "Level 1+X" certificate, improved compliance with high-voltage safety procedures to 93%, and increased the job competency qualification rate to 92%. These reforms have effectively enhanced students' learning initiative and professional competence, providing a valuable reference for curriculum innovation in related fields. References | Related Articles | Metrics

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Exploration and Practice of the Integrated Talent Cultivation Model under the Background of New Quality Productive Forces －Taking the "3+2" Program of Automobile Service Engineering in Yunnan Province as an Example LI Wei, WANG Jun, MA Rui, CHEN Wengang, MA Rong 2025, 50(16): 111-116.  DOI: 10.16638/j.cnki.1671-7988.2025.016.023 Abstract ( )   PDF (1064KB) ( )   In response to the growing demand for high-level technical and skilled personnel in Yunnan Province's automotive industry under the background of new quality productive forces, this paper focuses on the "3+2" integrated training model for the automotive service engineering program and explores optimization pathways. Based on literature analysis, questionnaire surveys, curriculum comparison, and expert interviews, the study identifies several challenges in the current model, including the lack of unified quality standards, a high rate of course duplication, a low proportion of "dual-qualified" teachers, and insufficient industry participation. To address these issues, the paper proposes seven targeted strategies, including the establishment of a unified quality assurance system, a modular curriculum structure, a dual-mentor education mechanism, and cross-border industryacademia collaboration. These measures are expected to significantly improve curriculum alignment, the rationality of faculty composition, and the overall quality of talent cultivation. References | Related Articles | Metrics

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Teaching Reform and Practice of "Three Stage Seven Step Five Integration" in the Course of Maintenance and Fault Diagnosis of New Energy Vehicles TAN Xin 2025, 50(16): 117-122.  DOI: 10.16638/j.cnki.1671-7988.2025.016.024 Abstract ( )   PDF (1311KB) ( )   This article uses the course of Maintenance and Fault Diagnosis of New Energy Vehicles as a carrier to construct a "three stage seven step five integration" teaching reform system to explore innovative paths for vocational education teaching. Through the three-level curriculum design of "basic projects–advanced projects–advanced projects" and "labor spirit–model worker spirit–craftsman spirit", the synchronous improvement of professional skills and ideological and political literacy is achieved. Innovatively adopting a seven step teaching process of "classroom morning meeting–task introduction–knowledge explanation–plan formulation–bench simulation– actual vehicle maintenance–summary and evaluation", forming an integrated teaching mode of "theory, reality and virtuality". Practice has shown that the "job course competition certificate education" five integration education mechanism deeply integrates enterprise job standards ("1+X" certificate), skill competition elements, and ideological and political education goals into the curriculum system, reconstructing the teaching content of "typical work tasks fragmented–teaching resource modularization–curriculum project systematization", effectively improving students' job adaptability, competition level, and professional ethics. After the implementation of the reform, the achievement rate of curriculum teaching has increased to 98.7%, the pass rate of student skill certificates reaches 100%, the award rate of skill competitions has increased by 28%, and the satisfaction rate of ideological and political education in the curriculum has reached 99.2%, forming a new model of curriculum reform that can be promoted as "combining morality and technology, integrating knowledge and practice". References | Related Articles | Metrics

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Research on the Integration of Curriculum Ideological and Political Education into the Construction of Integrated Curriculum System for Intelligent Connected Vehicle Technology for "Secondary-Vocational-Undergraduate" ZHOU Juanying1 , WANG Lufeng2* , XIAO Pan1 , ZHANG Bofeng2 2025, 50(16): 123-127.  DOI: 10.16638/j.cnki.1671-7988.2025.016.025 Abstract ( )   PDF (1137KB) ( )   The integrated cultivation education of secondary vocational schools, higher vocational colleges and vocational undergraduate programs is the key to solving the problem of cultivating high-end skilled talents urgently needed for the current social development. The construction of an integrated curriculum system serves as a starting point for realizing the integrated cultivation among secondary vocational, higher vocational and undergraduate levels. Integrating curriculum ideological and political education into professional courses can enhance students' interest in learning, cultivate their sense of professional honor and pride, and lay a solid foundation for them to serve the society. Guided by the main line of curriculum ideological and political education for educating people and based on the concept of competence-based education, this article elaborates on aspects such as the formulation of talent cultivation goals of the intelligent connected vehicle technology major in vocational education, the reconstruction of national vocational standards, the construction of an integrated curriculum system, the implementation of curriculum teaching, and the evaluation of the curriculum system. Provide certain references for the high-level and secondary vocational education through-train cultivation in the intelligent connected vehicle technology. References | Related Articles | Metrics

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A Brief Discussion on the Cultivation and Development Path of "Double-Qualified" Teachers in the Automotive Major under the Background of New Quality Productivity LIU Zhongping 2025, 50(16): 128-132.  DOI: 10.16638/j.cnki.1671-7988.2025.016.026 Abstract ( )   PDF (1144KB) ( )   Education is the foundation of national construction and national rejuvenation. Under the dual background of national vocational education reform and new energy vehicle industry development training "double-qualified" teachers with high professional quality, technical ability and teaching ability is an important focus of talent training in higher vocational colleges. In view of the existing in the training of "double-qualified" teachers in vocational education in the new energy vehicle industry chain, such as the unsmooth training path, the incomplete introduction and the vague evaluation criteria, based on the perspective of industry-education integration and schoolenterprise cooperation, this paper analyzes the professional ability requirements of "doublequalified" teachers in the new energy vehicle industry chain under the background of new quality productivity, and puts forward suggestions for improvement from the aspects of teacher training, practice training, school-enterprise cooperation, two-way talent flow and enterprise "mentor" professional title evaluation and performance appraisal, skills training and assessment, and various level competition, etc. It explores training path of "double-qualified" teachers suitable for the needs of new energy vehicle industry development, so as to improve the ability of higher vocational colleges to serve the industry development. References | Related Articles | Metrics

Standards·Regulations·Management

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Analysis of Research Hotspots on Automotive EDR Technology Based on CiteSpace Knowledge Graph MA Jianjun, CAO Yuhua, CHEN Yidan 2025, 50(16): 133-138.  DOI: 10.16638/j.cnki.1671-7988.2025.016.027 Abstract ( )   PDF (2409KB) ( )   To comprehensively understand the current research status, hotspots and development trends in the field of automotive event data recorder (EDR) systems, this study takes the relevant literature in the core database of China national knowledge infrastructure (CNKI) as the data source and conducts a visual analysis using CiteSpace. The research is carried out through methods such as keyword clustering, burst intensity analysis, and timeline graph. The results show that the number of research papers in the automotive EDR field is on the rise. Research hotspots focus on areas such as traffic accident reconstruction, accident replay, and acceleration. The key data of EDR, such as speed and braking, provide objective evidence for accident identification and responsibility determination, and help to identify driving risks and optimize safety strategies. The new hotspot is "acceleration", which reflects the control characteristics and algorithm safety of autonomous driving vehicles, reveals the energy transfer law at the moment of collision to assist in vehicle body safety design, and expands the dimension of EDR, providing key support for traffic technology innovation and vehicle safety upgrades. References | Related Articles | Metrics

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Research on Truck Interior CMF Design Evaluation Based on AHP-FCE YANG Lu, LIU Tianyu, DUAN Wei, HE Yu, LIU Fei, LING Jianren 2025, 50(16): 139-144.  DOI: 10.16638/j.cnki.1671-7988.2025.016.028 Abstract ( )   PDF (1699KB) ( )   To address the issues of strong subjectivity and difficulty in quantifying perceptual demands during the evaluation and optimization of truck interior color, material, finishing (CMF) design schemes, this study proposes an integrated qualitative-quantitative comprehensive evaluation model. First, perceptual image data of users toward truck interior CMF are collected using the semantic differential method, from which 12 core kansei word pairs are screened. A hierarchical evaluation system comprising 3 primary criteria and 12 secondary criteria is constructed. Analytic hierarchy process (AHP) is then applied to establish judgment matrices and calculate criterion weights. Finally, the fuzzy comprehensive evaluation (FCE) method is employed to score and prioritize the design schemes. Three design rendering samples are evaluated and ranked, yielding objective and accurate results. The proposed method effectively enhances the objectivity and scientific rigor of design decision-making, providing a theoretically grounded and practically valuable evaluation tool for future CMF design optimization. References | Related Articles | Metrics

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Research on Optimization Scheduling of Automobile Charging Stations Based on Reinforcement Learning Algorithm TAO Zhenzheng 2025, 50(16): 145-149.  DOI: 10.16638/j.cnki.1671-7988.2025.016.029 Abstract ( )   PDF (1245KB) ( )   In order to efficiently manage the charging process of electric vehicles and ensure the stability of the power grid, a research on collaborative optimization scheduling of electric vehicle charging stations based on reinforcement learning algorithm is proposed. By analyzing the charging mode of electric vehicles at charging stations, it can be concluded that the operation of charging stations is closely related to the cost of electricity consumption. Considering the uncertainty of the operating mode and charging demand of electric vehicles, construct an operating model for electric vehicle charging stations. Based on the above charging station operation model, combined with the Markov decision process in reinforcement learning algorithm, a collaborative optimization scheduling design is carried out. At the same time, through deep reinforcement learning algorithm, the robustness model and opportunity model are solved, and a more reasonable scheduling strategy is formulated, which helps to reduce charging costs. The experimental results show that the collaborative optimization scheduling method for electric vehicle charging stations based on reinforcement learning algorithms can improve economic benefits and renewable energy utilization, verifying the feasibility and effectiveness of reinforcement learning algorithms in charging station scheduling. References | Related Articles | Metrics