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15 November 2025, Volume 50 Issue 21 Previous Issue   
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New Energy Vehicle
Intelligent Connected Vehicle
Design and Research
Testing and Experiment
Process·Materials
Automobile Education
Reviews


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New Energy Vehicle

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Automotive Permanent Magnet Synchronous Motor Control Based on Cooperative Control Theory WEN Yun, TIAN Gaohua, FANG Xiaonan 2025, 50(21): 1-5.  DOI: 10.16638/j.cnki.1671-7988.2025.021.001 Abstract ( )   PDF (695KB) ( )   To address the issue that the control system of vehicle-mounted permanent magnet synchronous motors (PMSM) is affected by uncertain factors such as external load disturbances and internal parameter changes, and to improve the system's control performance, this paper designs a proportional-integral (PI) cooperative controller. A mathematical model is established based on the kinematic characteristics of PMSM, and the design of the cooperative controller is completed using this model; genetic algorithms are adopted to optimize the key parameters of the controller, further enhancing the control accuracy. A simulation comparison between this controller and the sliding mode controller shows that the speed overshoot amplitude decreases significantly and the steadystate response time shortens; the current stabilization time is 50% of that of the sliding mode control; when the load torque changes abruptly, the speed fluctuation reduces, and the torque fluctuation time is only 10% of that of the sliding mode control. Simulation results indicate that when this PI cooperative controller is applied to vehicle-mounted PMSM, it can make the system respond faster, have stronger anti-interference ability and higher stability, providing an effective solution for the high-precision control of vehicle-mounted PMSM. References | Related Articles | Metrics

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Modal Optimization Analysis of Battery Packs Using HyperStudy XIAO Huihui, ZHAN Weitao, LI Zhi 2025, 50(21): 6-10.  DOI: 10.16638/j.cnki.1671-7988.2025.021.002 Abstract ( )   PDF (1691KB) ( )   The modal performance of a battery pack directly determines its dynamic response under vibration conditions. Improving modal characteristics effectively enhances structural durability and service life. This study employs HyperStudy software to conduct modal optimization research for battery packs: By establishing dimensional and shape variables, key factors significantly influencing battery pack frequency are identified through design of experiments (DOE). Subsequently, the global response surface method (GRSM) optimization algorithm is applied to achieve a quality reduction of 3 kg while satisfying the target frequency constraint of 35 Hz. The accuracy of optimization results is validated through bench vibration tests. This research provides effective methodological guidance for enhancing the modal performance of battery packs. References | Related Articles | Metrics

Intelligent Connected Vehicle

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Research on LQR Lateral Control Strategy for Driverless Vehicles Based on DE_PSO Optimization LUO Yuanpeng, ZHANG Chengtao* , ZHAO Xiaozhuo, LI Junhong 2025, 50(21): 11-20.  DOI: 10.16638/j.cnki.1671-7988.2025.021.003 Abstract ( )   PDF (1142KB) ( )   In order to solve the problem of reliance on manual tuning and the poor adaptability of traditional linear quadratic regulator (LQR) controllers in autonomous vehicle lateral control, this paper proposes a hybrid optimization method that integrates differential evolution (DE) and particle swarm optimization (PSO), referred to as DE_PSO, for tuning the LQR weight matrices. Firstly, a lateral tracking error state-space model is constructed based on a two-degree-of-freedom vehicle dynamics model, and feedforward compensation is introduced to enhance steady-state performance.Then, DE operations are periodically incorporated into the PSO framework, together with a nonlinear inertia weight decay and an elitism retention mechanism, to enhance global search performance and convergence stability, thereby facilitating adaptive tuning of LQR weight matrices. Finally, The results of CarSim/Simulink joint simulation show that compared with the PSO based LQR method, the proposed method reduces the maximum lateral error and heading error by 50.7% and 37.5% respectively, reduces the average calculation time by 54.2%, and shows stable trajectory tracking accuracy and good robustness under different speed conditions. References | Related Articles | Metrics

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Augmenting Small Sample Dataset for Autonomous Driving Based on Generative Models HUANG Qiusheng 2025, 50(21): 21-25,37.  DOI: 10.16638/j.cnki.1671-7988.2025.021.004 Abstract ( )   PDF (1432KB) ( )   Training autonomous driving algorithms based on deep learning faces challenges such as a limited amount of data and uneven data distribution. Traditional methods achieve data augmentation through image flipping, cropping and color transformation. However, these struggle to address the issue of uneven data distribution. Some approaches propose conducting model training on small sample data through complex parameter tuning and transfer learning. Nevertheless, often requires a significant amount of time for hyperparameter adjustment and is prone to overfitting problems. In this study, a generative adversarial network (GAN) is trained on a small sample dataset, and the generator is utilized to generate new sample data. The generated samples maintain the same style as the original sample data while expanding the number of samples. Additionally, through prompt engineering and diffusion models, the distribution of samples is further optimized. The newly added sample data and the original sample data are integrated together using an automatic annotation method for training the object detection network. The performance is evaluated separately on object detection models based on different backbone networks. The experimental results demonstrate that a YOLO model is trained on a small sample dataset. In the practical task of vehicle object recognition, the detection success rate is increased to 93%. References | Related Articles | Metrics

Design and Research

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Design of an Intelligent Cabin Control System for Agricultural Machinery Based on Multimodal Interaction MAO Yujie, CHEN Jinxia* , LI Chenxi 2025, 50(21): 26-30.  DOI: 10.16638/j.cnki.1671-7988.2025.021.005 Abstract ( )   PDF (784KB) ( )   In response to the low adoption rate of intelligent agricultural machinery among small and medium-sized farmers and the insufficient adaptability of traditional interaction systems, this paper develops a multimodal intelligent interaction system tailored for complex field scenarios. By integrating noise-resistant speech recognition, millimeter-wave radar gesture control, and anti-glare touch technology, a collaborative interaction system is constructed with speech as the primary mode, gesture as the auxiliary mode, and touchscreen for fine-tuning. This approach addresses the issues of complex operation, high false-touch rates, and poor environmental adaptability in traditional systems. The paper innovatively introduces an automotive controller area network (CAN) bus architecture to achieve efficient multimodal data fusion and cross-layer scheduling, thereby enhancing the reliability of command transmission. Based on a modular layered architecture that integrates multi-source sensors, adaptive switching of interaction modes is realized through a dynamic priority arbitration algorithm. The system demonstrates superior stability in scenarios such as crop lodging and high-noise environments, significantly improving human-machine collaboration efficiency and providing a technical paradigm for the intelligent transformation of small and medium-sized agricultural operations. The research results hold significant practical value for promoting the standardization of agricultural machinery interaction and the popularization of intelligent equipment. References | Related Articles | Metrics

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Optimization Design of Door Crashworthiness Based on RBF Neural Network LENG Chuan1 , LIU Jiayuan2 2025, 50(21): 31-37.  DOI: 10.16638/j.cnki.1671-7988.2025.021.006 Abstract ( )   PDF (1930KB) ( )   In this paper, radial basis function (RBF) neural network and multi-objective genetic algorithm are applied to optimize the crashworthiness of automobile doors. The finite element model of the side impact of a car door is established in HyperMesh, and its crashworthiness is analyzed. Taking the thickness of the key components of the door as the design variables, reasonably distributed sample points are generated by Hammersley experiment of design method for calculation. The RBF neural network method is used to construct the approximate models of the door mass, energy absorption value, maximum impact force and intrusion. With the maximum energy absorption value and minimum mass of the door as objectives, and the maximum impact force and intrusion of the door as constraints, the multi-objective genetic algorithm is used to optimize the approximate models. Under the condition that the maximum impact force and the amount of intrusion are reduced, the energy absorption value is increased by 29.33%, the mass is reduced by 8.5%, the crashworthiness is improved, and the design time is effectively shortened. References | Related Articles | Metrics

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Design Optimization of FSEC Aerodynamics Kit under Typical Working Conditions TANG Zhanyi, WANG Yuhang, JIA Shengyao, YANG Zhi, HUANGFU Jiaming 2025, 50(21): 38-43，69.  DOI: 10.16638/j.cnki.1671-7988.2025.021.007 Abstract ( )   PDF (3219KB) ( )   To investigate the aerodynamic characteristics and optimization strategies of formula student electric China (FSEC) racing cars under typical operating conditions, a simplified computational fluid dynamics (CFD) model is developed. Two representative scenarios are analyzed: pitching motion and figure-eight maneuvers. The study reveals that the front wing's downforce is significantly influenced by ground clearance during pitching conditions. Implementing a design strategy that incorporates increased ground clearance and optimized flap angle of attack enhances the front wing's aerodynamic sensitivity and improves the downforce distribution between front and rear axles. During figure-eight maneuvers, the vehicle's side roll amplifies the ground effect between the side diffuser and the vehicle's underbody; however, tire jet turbulence adversely affects the side diffuser's downforce performance. This issue can be effectively mitigated by extending the side diffuser's end plate, which restores the side diffuser's downforce to 95.13% of its straight-line performance. The findings suggest that adopting a high ground clearance front wing with adjustable flap angle of attack during pitching conditions, combined with the installation of baffle end plates behind the front wheels during figure-eight maneuvers, significantly enhances the vehicle's aerodynamic performance and handling stability. References | Related Articles | Metrics

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Design and Application of an Integrated Platform for Prototype Vehicle Trial Production ZHOU Min, GAO Xu, JIANG Xinming, QIN Weili 2025, 50(21): 44-51.  DOI: 10.16638/j.cnki.1671-7988.2025.021.008 Abstract ( )   PDF (1832KB) ( )   The article is set against the background of the development of an integrated prototype trial-manufacturing platform for an automobile manufacturing enterprise. In traditional trial production processes, there are some significant problems such as data silos, low communication and working efficiency and high costs. To solve these problems, an integrated prototype vehicle trial production platform is designed and developed. By adopting a modular system design, the platform integrates key functions such as trial demand management, bill of materials (BOM) compilation, process collaboration, warehousing &logistics, production execution, and quality control. The goal is to form an end-to-end data closed loop. The effect of this integrated platform is verified based on the practice of one automotive original equipment manufacturer, and the results show that: trial project efficiency increased by 15.6%, operational efficiency increased by 26.6%, and trial cost reduced by 1.343 million RMB. By developing a full-process digitization in vehicle trial producing area, the data silos, low efficiency and high costs problems can be solved. And it provides a replicable solution for intelligent manufacturing transformation in the automotive industry. References | Related Articles | Metrics

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An Investigation on the Simulation and Validation for Braking System of FSC Racing Car ZHAO Ming, ZHENG Shengqiang* , LI Changyu, XIAO Ying 2025, 50(21): 52-60.  DOI: 10.16638/j.cnki.1671-7988.2025.021.009 Abstract ( )   PDF (2327KB) ( )   This study focuses on the Formula Student China (FSC) braking system rule requirements, with lightweight as the core design objective. By analyzing the parameters of the racing car, the relevant parameters are designed to meet the requirements of the race. Then, modeling software is utilized to design the braking system parts, and simulation analysis is carried out with the assistance of ANSYS software, aiming at verifying the adaptability of the designed parts to the requirements of the racing car, and guaranteeing its safety and reliability. To validate the reliability of the optimized parts, the real car debugging and verification work is carried out. The results indicates that the designed braking system is practical and fulfilled the requirements of braking stability, and could realize the simultaneous locking of four tires as well, which aligns with the FSC braking system design rules. Moreover, an overall weight reduction of 35% (from 7.45 kg to 4.87 kg) is recorded for the braking system through replacing the sliding rail with new lugs, innovative hollow design of the brake discs and the application of a new throttle limit device. Additionally, the strength of the new design has been verified by both simulation and real-vehicle experiments, and the novel design satisfied both standards and design expectation. Overall, this work is of great significance to enhance the performance of the racing car and ensure compliance with the race regulations, which also provides effective technical reference and practical work for the design of the braking system of the Formula Student China. References | Related Articles | Metrics

Testing and Experiment

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Study on Measurement Method of Road Load in Aerodynamicacoustic Wind Tunnel ZHAO Hongfei1 , YANG Yichun2 , ZHAO Zhixiang1 , LIAO Siyao1 2025, 50(21): 61-64,99.  DOI: 10.16638/j.cnki.1671-7988.2025.021.010 Abstract ( )   PDF (1060KB) ( )   With the increase of domestic automotive full-scale wind tunnel resources, the wide application of road load (wind tunnel method) in Limits and Measurement Methods for Emissions from Light-duty Vehicles (China 6) (GB18352.6–2016) has become possible. The test state of the vehicle in the traditional wind tunnel method is not consistent with the actual road driving state, which leads to a certain deviation between the test result of the wind tunnel method and the actual road load, and the test cost is high and the efficiency is low. In order to solve these shortcomings of the traditional wind tunnel method, this paper simulates the driving state of the vehicle under the actual road in the aerodynamic-acoustic wind tunnel, and directly corrects the aerodynamic resistance and roll resistance at each speed, and finally obtains the road load of the vehicle. A comparison between the new wind tunnel method and road coast-down results indicates that the resistance results of the two methods are consistent and the difference is small, and the worldwide light vehicles test cycle (WLTC) energy difference is far less than the standard ±5%, which proves the efficiency and effectiveness of the method, and can be used as one of the alternative methods for coast-down, providing support for the subsequent practical application and standard research of the wind tunnel method for new energy vehicles. References | Related Articles | Metrics

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Failure Analysis of 40Cr Steel Ball Core Fracture SHAO Hua, ZHANG Lanlan, REN Leiguang, YANG Hui 2025, 50(21): 65-69.  DOI: 10.16638/j.cnki.1671-7988.2025.021.011 Abstract ( )   PDF (9054KB) ( )   A 40Cr steel ball core fails twice in a row during the fatigue test of an automotive thrust rod. To determine the cause of the failure, this article conducts a detailed analysis using methods such as macroscopic observation, microscopic observation, metallographic structure analysis, chemical composition analysis, and hardness testing. The results show that the fracture failure modes are all fatigue fracture, and the chemical composition of the ball core and Rockwell hardness meet the design requirements. The micro-cracks existing inside the surface decarburization layer and the loose surface structure and other surface defects cause the stress concentration coefficient at the structural mutation location to increase, forming stress concentration points. Under the continuous cyclic loading force, the cracks start to initiate from the defect and continuously expand inward until fracture. This research has certain reference value for the failure modes of the same type of 40Cr steel ball cores. References | Related Articles | Metrics

Process·Materials

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Research on AGV and Robot Automatic Docking Technology for Automobile Chassis Assembly LIANG Kuan 2025, 50(21): 70-73.  DOI: 10.16638/j.cnki.1671-7988.2025.021.012 Abstract ( )   PDF (1571KB) ( )   The degree of automation in chassis assembly is a key factor affecting the production takt of automobiles. In order to further improve the production takt, this paper discusses the innovative planning of the automobile chassis assembly automated guided vehicle (AGV) production line based on practical projects, studies the process of robot automatic transfer of front and rear suspension assemblies, designs the AGV body and double floating platform, and finally solves the technical problems of automatic docking between AGV and robot. This study has substantially improved the automation degree and production efficiency of the vehicle chassis assembly line, and provided practical experience for the automation transformation and upgrading of the automobile manufacturing industry. References | Related Articles | Metrics

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Research on Interference Solution for Laser Engraving Process of Commercial Vehicle VIN Robot ZHANG Bo, CAO Lifu, YANG Jixin 2025, 50(21): 74-76,119.  DOI: 10.16638/j.cnki.1671-7988.2025.021.013 Abstract ( )   PDF (2030KB) ( )   In the field of vehicle manufacturing, it is common to use laser marking during the assembly and welding process of passenger cars. However, in the manufacturing process of commercial vehicles, especially in the heavy truck industry, the common marking equipment for vehicle identification number (VIN) engraving process still uses needle engraving machines. This article introduces the basic requirements for commercial vehicle VIN engraving, compares the characteristics of needle engraving and laser engraving, and solves the problem of interference in robot laser engraving. To achieve fully automated production of commercial vehicle VIN engraving, we hope to provide a hybrid production VIN laser engraving process idea. References | Related Articles | Metrics

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Theoretical Study on the Four-Coat-One-Bake Process for Body Coating LAI Zhiyong1 , WU Kunsheng1 , WU Xinxin2 , LIN Yanmin3 , WAN Xiaomeng1 2025, 50(21): 77-80.  DOI: 10.16638/j.cnki.1671-7988.2025.021.014 Abstract ( )   PDF (1011KB) ( )   In the automotive manufacturing companies, energy consumption during body production and manufacturing ranks first, prompting many domestic and international automakers to actively research new coating process. Currently, the mainstream body new coating process in many domestic and international is the four-coat-one-bake (4C1B) technique. Through case studies, this paper analyzes the quantitative relationships of solubility parameter (SP) required between paint coatings and between coatings and substrates under the 4C1B process for bodies and exterior trim parts. A quantitative analysis is conducted based on surface tension, and a qualitative analysis is performed on interlayer adhesion. Finally, the findings are validated through practical spraying operations and coating film testing. The results confirm the effectiveness of these quantitative relationships, which have been further extended to facilitate improvements in automotive body coating processes and the selection of paint and exterior trim materials. References | Related Articles | Metrics

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Research on the Failure Analysis and Solution of the By-wire Shift Function of a Certain Vehicle Model LI Ming, LIANG Jiangang 2025, 50(21): 81-85.  DOI: 10.16638/j.cnki.1671-7988.2025.021.015 Abstract ( )   PDF (7157KB) ( )   During production line testing, some vehicles of a specific model exhibited gear-shifting failures. This article systematically analyzes the components of the electronic shift system based on its structure, including transmission diagnostics, electronic shift signal analysis, fault code investigation, actuator swapping tests, and fault freeze frame analysis. By constructing a shift system test bench to reproduce the malfunction, the investigation narrowed down the root cause to the transmission circuit between the electronic shift controller and actuator. Further analysis of the single edge nibble transmission (SENT) signal in this circuit reveals operational anomalies during actuator operation through oscilloscope monitoring. The signal characteristics confirm that interference is the primary cause of the failure. Subsequent optimization of the transmission circuit and retesting resolves the vehicle's gear-shifting issues. References | Related Articles | Metrics

Automobile Education

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Research on the Curriculum Development of Electrical and PLC Technology for Mechanical Equipment in Vehicle Engineering Major MA Xuegang 2025, 50(21): 86-93.  DOI: 10.16638/j.cnki.1671-7988.2025.021.016 Abstract ( )   PDF (4558KB) ( )   To address the current issues of complex course content and insufficient practical training, this study aims to enhance the teaching quality of the Electrical and PLC Technology for Mechanical Equipment course. The research methods include optimizing theoretical instruction with an emphasis on application-oriented approaches, integrating case studies from the automotive industry, and incorporating flipped classrooms and hands-on sessions. Additionally, virtual simulation platforms and digital resources are utilized to improve the effectiveness of online teaching, while modular experiments and project-based teaching are implemented to strengthen students' practical and innovative abilities. Furthermore, by introducing cross-disciplinary case studies and situational simulations, the study seeks to cultivate students' capacity to address complex automotive manufacturing challenges, thereby meeting the demands of the intelligent manufacturing era. The findings demonstrate that the implementation of these measures effectively enhances students' learning interest and practical skills, cultivating high-quality talent for the automotive industry, which holds significant practical importance. References | Related Articles | Metrics

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The Paths of Talent Cultivation for Automobile Major in Vocational Undergraduate Education from the Perspective of the Integration of Science and Education HE Tingyu 2025, 50(21): 94-99.  DOI: 10.16638/j.cnki.1671-7988.2025.021.017 Abstract ( )   PDF (1055KB) ( )   With the rapid development of the automotive industry towards electrification, intelligence, and networking, vocational undergraduate education is facing new opportunities and challenges in cultivating high-level technical and skilled talents. This paper takes the integration of science and education as the core concept, focuses on the talent cultivation path of vocational undergraduate automotive majors, aims to explore new models of talent cultivation through the deep integration of teaching and research. Starting from the aspects of training objectives, curriculum system, teaching mode, teaching staff and evaluation system, the specific pathways, such as proposing to construct a three in one curriculum system of "basic courses+professional courses+scientific research training", promoting project-based teaching and school enterprise cooperation practice, and strengthening scientific research and practical ability of the teaching staff. It provides theoretical foundations and practical references for cultivating high-quality technical talents that meet the transformative demands of the automotive industry. References | Related Articles | Metrics

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Research on High-quality Training Pathways for Skilled Talents from the Perspective of Industry-education Integration －Taking the Study of the New Energy Vehicle Program in Changzhou as an Example NI Jinshang 2025, 50(21): 100-107.  DOI: 10.16638/j.cnki.1671-7988.2025.021.018 Abstract ( )   PDF (1261KB) ( )   In recent years, the new energy-related industries in Changzhou have flourished, contributing to the city's gross domestic product (GDP) surpassing one trillion yuan in 2023. Changzhou has also established "New Energy Capital" as its urban brand. From the perspective of vocational education, this article investigates the industrial foundation of Changzhou's "New Energy Capital" and the current state of new energy skills training. It analyzes the shortcomings in the cultivation of professional skills for the new energy vehicle industry in Changzhou and proposes measures to enhance the quality of talent development in this field. These measures include optimizing program offerings, reforming the curriculum system, strengthening school-enterprise cooperation, and fostering a craftsman spirit, all of which aim at supporting Changzhou's goal of building a "New Energy Capital". References | Related Articles | Metrics

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Research on the Construction Path of Curriculum Ideology and Politics for Automotive Majors in Higher Vocational Colleges Enabled by AI Technology ZHANG Li 2025, 50(21): 108-112.  DOI: 10.16638/j.cnki.1671-7988.2025.021.019 Abstract ( )   PDF (896KB) ( )   After years of construction, the curriculum ideological and political education of automobile major in higher vocational colleges has made some achievements, but it also meets some problems and challenges such as the formalization of ideological and political education, which affects the effect of the curriculum ideological and political education. From the perspective of school-enterprise collaboration, focusing on the background of the era of artificial intelligence, this paper analyzes the current situation and challenges of the reform of curriculum ideology and politics of automotive majors in higher vocational colleges, and further expounds the role of schoolenterprise collaboration in the construction of curriculum ideology and politics of automotive majors in higher vocational colleges, and the cooperation path of schools and enterprises. The purpose of this study is to provide theoretical guidance and practical reference for the construction of curriculum ideology and politics for automotive majors in higher vocational colleges, so as to promote the comprehensive development of students and improve the quality of vocational education. References | Related Articles | Metrics

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Research on "Learning by Doing" Teaching Reform of Testing Technology Course under AI Empowerment YANG Yanan 2025, 50(21): 113-119.  DOI: 10.16638/j.cnki.1671-7988.2025.021.020 Abstract ( )   PDF (1933KB) ( )   This paper addresses the issues of abstract theories, insufficient practice, and low learning enthusiasm among students in the core course Testing Technology for the Vehicle Engineering major, and proposes an artificial intelligence (AI)-empowered "learning by doing" teaching reform program. Guided by the concept of outcome-based education (OBE), the reform adopts a blended online offline teaching model, integrates the BOPPPS framework, incorporates DIY pocket experiments and MATLAB simulation, and strengthens the integration of theory and practice as well as the scientific visualization of knowledge. Through AI-assisted programming, it develops students' AI interaction capabilities and cultivates their critical thinking. It infiltrates ideological and political education through AI micro-videos for ideological and political education in courses and virtual teaching assistants with digital humans, enhancing the integration of ideological and political education into students' minds. The assessment adopts the "Three-One-Three" diversified evaluation model, covering pre-class diagnostic evaluation, in-class formative evaluation, and post-class summative evaluation. This study provides practical references for the teaching reform of application-oriented engineering courses. References | Related Articles | Metrics

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Research on the Innovation of Talent Cultivation Mode for Vocational Education Undergraduates in the Context of Artificial Intelligence －Taking the Construction of the Intelligent Integrated Automotive Engineering Curriculum System as a Path LIN Shengcun 2025, 50(21): 120-124,137.  DOI: 10.16638/j.cnki.1671-7988.2025.021.021 Abstract ( )   PDF (1235KB) ( )   In the era of artificial intelligence, the weakening of vocational attributes and insufficient interdisciplinary integration of undergraduate automotive courses in vocational education have become increasingly prominent. This article proposes a course system of "Intelligent Integrated Automotive Engineering" through industry research and case analysis, which combines core modules such as intelligent vehicle control and autonomous driving with interdisciplinary modules such as artificial intelligence foundation and engineering ethics to form a composite modular course system. On this basis, a dynamic adjustment mechanism is established, and project-based teaching methods, virtual simulation experiment platforms, and multidimensional evaluation systems are used to promote the improvement of students' composite technical skills and the strengthening of interdisciplinary collaboration awareness, providing a reference for exploring new models of vocational education undergraduate talent cultivation. References | Related Articles | Metrics

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Construction and Practice of a "Three-stage Progressive" Studio Training Pathway for Undergraduate Automotive Programs in the Context of New Engineering Education －The Case of Shaoguan University YE Lei 2025, 50(21): 125-130,137.  DOI: 10.16638/j.cnki.1671-7988.2025.021.022 Abstract ( )   PDF (1434KB) ( )   As the automotive industry transforms toward intellectualization, connectivity, and greenization, it places higher demands on the interdisciplinary integration and innovation capabilities of application-oriented undergraduate automotive talents. However, the existing training system has shortcomings in innovation, practice, and achievement transformation. Based on the Innovation Studio of the automotive major at shaoguan university, this paper constructs a three-stage progressive training path of "Foundation-Integration-Transformation" and supports it with a hierarchical project system and operation guarantee mechanism. Three years of practice verify that this path achieves remarkable results: within four years, members of the studio have won 18 provincial-level and above awards (including 3 national-level ones), completed 1 scientific research project, published 2 papers, and obtained 2 patents, the proportion of students pursuing further studies has increased from 50% to 60%, and the proportion of high-quality employment remains stable between 40% and 50%. This model can operate stably under the conditions of multi-grade mix and small scale, enhance students' interdisciplinary and engineering innovation capabilities, and has promotion value for applicationoriented undergraduate colleges and universities of engineering. References | Related Articles | Metrics

Reviews

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Development of Electrification of Mining Dump Trucks and Battery Management GU Jinghan, WANG Chengsheng, YUAN Xunhua 2025, 50(21): 132-137.  DOI: 10.16638/j.cnki.1671-7988.2025.021.023 Abstract ( )   PDF (1355KB) ( )   To tackle climate change and achieve the goal of carbon neutrality, electric mining dump trucks, with their advantages of low emissions and high energy efficiency, have become the core equipment for the green transformation of mines. The performance of its battery management system (BMS) directly affects the vehicle efficiency. This paper reviews the development history of mining dump trucks, pointing out that foreign technologies have deepened towards electrification, intelligence and hydrogen energy integration, while China has achieved remarkable breakthroughs in 100-ton electric vehicle models and hybrid fuel-saving technologies through independent research and development. Focusing on BMS, it analyzes battery state estimation and balancing management technologies, compares the applicable scenarios of methods such as open-circuit voltage method and Kalman filtering, as well as active balancing and passive balancing strategies, and emphasizes that high-precision algorithms and energy optimization are the keys to technological upgrading. In the future, it is necessary to break through the technological bottlenecks of batteries, promote the intelligent integration of BMS, assist mines in achieving efficient emission reduction, and support the realization of the "dual carbon" goals. References | Related Articles | Metrics

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Research on the Correlation between Additional Services of Automobile Insurance and Consumer Purchase Intention PENG Bo1 , LIU Minzhe2 2025, 50(21): 138-144.  DOI: 10.16638/j.cnki.1671-7988.2025.021.024 Abstract ( )   PDF (1257KB) ( )   To explore the feasible paths for the Chinese auto insurance market to break through homogeneous competition under the background of scale expansion and profit narrowing, this article examines the influence mechanism of additional services on consumers' purchase intentions based on questionnaire surveys and empirical analysis methods. The research finds that additional services, through the mediating role of enhancing consumers' anticipation of services, form a positive transmission effect on purchase intention. By optimizing the service quality management system and effectively guiding consumer expectations, the predicament of price competition can be broken through. The results show that the differentiation strategy based on service expectation management is the key to improve the industry's profitability, and the research content provides theoretical basis and practical direction for product innovation. References | Related Articles | Metrics

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Research Progress on Key Joining Technologies for Steel-aluminum Hybrid Car Bodies MA Tieli 2025, 50(21): 145-148.  DOI: 10.16638/j.cnki.1671-7988.2025.021.025 Abstract ( )   PDF (1360KB) ( )   This article reviews the recent advancements in aluminum alloy-to-steel joining technologies from 2020 year to the present. In response to the trends of lightweighting and the challenges posed by material property mismatch, research focuses on the optimization of traditional welding processes and the promotion of hybrid joining techniques. Laser-arc hybrid welding effectively controls the thickness of the intermetallic compound (IMC) layer through precise heat input regulation, thereby enhancing the mechanical properties of the joint. The cold metal transfer (CMT) technique enables high-efficiency metal inert gas (MIG) brazing of thin sheets by leveraging its characteristic low heat input. Hybrid friction stir welding, when combined with preheating technology, reduces tool load and improves weld quality. Future efforts prioritize the development of new alloys, artificial intelligence-based optimization of process parameters, and sustainable manufacturing strategies, aiming to scale up the application of these lightweight joining technologies in the field of new energy vehicles. References | Related Articles | Metrics