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30 January 2026, Volume 51 Issue 2 Previous Issue   
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New Energy Vehicle
Intelligent Connected Vehicle
Design and Research
Testing and Experiment
Process·Materials
Automobile Education


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New Energy Vehicle

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Research on Driving Conditions Based on Big Data of New Energy Vehicle Users WU Zhen1 , HUO Tao2 , WANG Juntian3 , QIU Mukui3 2026, 51(2): 1-5,26.  DOI: 10.16638/j.cnki.1671-7988.2026.002.001 Abstract ( )   PDF (507KB) ( )   With the continuous increase of the user group of new energy vehicles, based on the big data of the internet of vehicles of a certain new energy vehicle user, this paper first analyzes and studies the driving condition characteristics of new energy vehicle users. It constructs and analyzes user portraits from the aspects of road types used by users, driving mileage, driving speed, and load distribution. Meanwhile, based on the user profile, the user working conditions are constructed. Through the big data of the holiday and non-holiday period in May 2024, the above dimensions are weighted and calculated respectively, obtaining the overall weighted distribution of the user working conditions of new energy vehicles under each dimension. The road types are classified into 7 categories, the vehicle speeds into 24 intervals, and the load distribution into 3 categories. And the proportion data are calculated respectively. Finally, the application of user profiling and user working condition construction in user road data collection is proposed, such as route planning for user road load spectrum data collection. References | Related Articles | Metrics

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Discussion on the Current Status and Prospects of High-End Development of China's New Energy Vehicles AO Yuji 2026, 51(2): 6-11，51.  DOI: 10.16638/j.cnki.1671-7988.2026.002.002 Abstract ( )   PDF (578KB) ( )   After more than a decade of rapid development, China's new energy vehicles industry has evolved into the world's scope largest, most innovative, and most complete industrial ecosystem. However, it is noteworthy that the market penetration rate of domestic brands remains relatively low in the high-end vehicle market. The study focuses on the high-end new energy vehicles sector, conducting an in-depth analysis of China's new energy vehicles industry development trends through four dimensions:top-level policy design, consumer demand structure, core technological advancements, and existing analysis. It elucidates the historical opportunities and practical challenges in the transition toward high-end process. Addressing practice issues such as the weak design and manufacturing capabilities of high-end automotive semiconductor components and significant shortcomings in power battery technology, the study proposes concrete countermeasures, including industrial chain collaboration and ecosystem development, as well as research and development improvements in plug-in hybrid technology. References | Related Articles | Metrics

Intelligent Connected Vehicle

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Research on Intelligent Driving Flexible Data Acquisition and Shadow Mode System Based on Vehicle Cloud Integrated Computing Architecture WANG Tao1 , SONG Wei2 , LIN Dayang3 , CHEN Xin3 , ZHANG Jingyi3 , CUI Yuyang1*, HOU Ruichuan1 2026, 51(2): 12-20.  DOI: 10.16638/j.cnki.1671-7988.2026.002.003 Abstract ( )   PDF (1149KB) ( )   To address the limitations of autonomous driving data acquisition systems in flexibility, real-time performance, and coverage of long-tail scenarios, this paper proposes an autonomous driving flexible data acquisition system and shadow mode based on an integrated vehicle cloud architecture. Through modular middleware in the vehicle-cloud architecture, three data acquisition modes are designed: periodic collection, event-triggered collection, and historical retrieval. A nonintrusive shadow mode is implemented to capture edge scenarios, achieving "edge intelligence+ cloud evolution". The vehicle-side middleware is deployed on the autonomous driving domain controller chip, while the cloud-side middleware supports parallel processing of petabyte-scale data. Field tests demonstrate that the system's long-tail scenario collection efficiency improves by 4.3 times, cloud storage load decreases by 72.6%, and end-to-end latency for event-triggered collection remains below 50 ms. With limited capacity of 2G eMMC, the device can support approximately 30 days of local data caching. This research provides a new technical paradigm for closed-loop optimization of autonomous driving data, significantly enhancing data acquisition efficiency and quality while reducing R&D costs, thereby offering robust support for the commercialization of advanced autonomous driving technologies. References | Related Articles | Metrics

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Design of an Intelligent Car Based on STM32 Microcontroller HAN Qiang, YANG Xiaohua, YU Ruxing 2026, 51(2): 21-26.  DOI: 10.16638/j.cnki.1671-7988.2026.002.004 Abstract ( )   PDF (1610KB) ( )   With the continuous development of science and technology, mobile robots are widely used in various industries, and intelligent cars represent an important branch in this research field. This paper designs an intelligent car system centered on the STM32 microcontroller, adopting a modular design approach. In terms of hardware, the STM32 microcontroller serves as the main controller, integrating infrared and ultrasonic sensors to achieve path recognition and obstacle detection respectively, while establishing wireless communication through a bluetooth module. In terms of software, the main program scheduling enables multiple working modes such as line tracking, obstacle avoidance, and smartphone remote control. This study verifies the effectiveness of embedded systems in complex perception and control tasks. Its modular and scalable design also lays a technical foundation for subsequent functional enhancements, demonstrating good practical value and promotional significance. References | Related Articles | Metrics

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Research on a Multi-Sensor Fusion Safety Early Warning System Based on Vehicle-to-Vehicle Communication DENG Minhao, RAO Xin, QIU Xiusheng, LI Hongying, ZHANG Jingxuan 2026, 51(2): 27-34.  DOI: 10.16638/j.cnki.1671-7988.2026.002.005 Abstract ( )   PDF (2889KB) ( )   With the development of vehicle networking technology, issues such as communication delays, packet loss, and sensor blind spots in single vehicles still exist. This paper proposes a multi-sensor safety warning system integrating vehicle-to-vehicle (V2V) communication, cameras, LiDAR, and millimeter-wave radar to address communication delays and sensing blind spots in vehicular networks. An improved data fusion algorithm enables deep integration of multi-source sensor data with V2V shared information, enhancing target detection accuracy and warning response speed. The system effectively reduces blind spot impacts and mitigates communication delay effects, demonstrating superior adaptability compared to traditional single-vehicle perception. This research provides valuable insights for advanced warning system development. References | Related Articles | Metrics

Design and Research

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Comprehensive Research on Durability and Reliability of Automotive Chassis Systems HOU Jiazhen 2026, 51(2): 35-40.  DOI: 10.16638/j.cnki.1671-7988.2026.002.006 Abstract ( )   PDF (2346KB) ( )   The chassis system is the main load-bearing path of the entire vehicle and an important part of the durability and reliability development. This article aims to establish a comprehensive research method for the generation mechanism, test verification methods, and optimization strategies of durability and reliability problems in automotive chassis systems. This method integrates finite element analysis (FEA), fatigue life prediction, and multi-axis road simulation bench tests for damage equivalence. Through multi-body dynamics simulation analysis based on measured load spectra, the loads on key chassis components are obtained. By using FEA and fatigue life prediction, typical failure problems of the rear subframe are revealed. At the same time, structural optimization analysis is employed to propose solutions to the problems, and the effectiveness of the solutions is verified through multi-axis road simulation bench tests. A case study of a sport utility vehicle (SUV) model is further used to validate the method. The results show that the improvement plan based on structural optimization and material upgrading for the rear subframe is effective, and the fatigue life of the optimized chassis system has increased by 42%, verifying the engineering effectiveness of the method. References | Related Articles | Metrics

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Performance Analysis and Optimization of a Hydrogen Fuel Coach Upper Structure Based on LS-DYNA CHEN Chong, DUAN Shulin, WANG Xianfeng, XU Jingyu 2026, 51(2): 41-45.  DOI: 10.16638/j.cnki.1671-7988.2026.002.007 Abstract ( )   PDF (1968KB) ( )   This paper takes a 12 m hydrogen fuel coach of a company as the research object. Firstly, in accordance with the regulation on European coach rollover regulation ECE R66, a three-dimensional model of the vehicle is built. Then, by using HyperMesh software, a finite element analysis model of the vehicle is established, and the rollover simulation analysis is carried out in combination with LS-DYNA software. Then, from the simulation calculation results, we can see that the upper structure of the body has seriously intruded into the passenger survival space, which will cause damage to passengers. Finally, an intensive study on the strength performance optimization of the upper structure of the body is conducted. Multiple optimization design schemes are proposed and verified for the weak areas of the structure. A general and reliable optimization design scheme for improving the rollover performance of the large coach is proposed in this study, on the basis of ensuring that the strength of the upper structure of the vehicle meets the regulatory requirements. References | Related Articles | Metrics

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Optimization of Gear-Shifting Strategy for Heavy-Duty Commercial Vehicles Based on User Operating Conditions ZHANG Shuaishuai, LIU Zitao, GU Yu, WANG Jiani, ZHANG Chenxi 2026, 51(2): 46-51.  DOI: 10.16638/j.cnki.1671-7988.2026.002.008 Abstract ( )   PDF (1487KB) ( )   This article takes an automated mechanical transmission (AMT) vehicle model in the coal transportation market segment as the research object, and builds a complete vehicle simulation model based on AVL Cruise and SPA software. Through big data analysis of the Internet of Vehicles, user personas are established from the perspectives of roads, vehicles, and people, clarifying user operating conditions and typical gear-shifting scenarios. The optimization direction of gear-shifting performance under different scenarios is analyzed, and optimized gear-shifting sequences and gear-shifting MAP are customized based on users' actual operating scenarios. Gear-shifting calibration parameters are obtained through desktop calibration optimization and economic simulation. The simulation results show that there is no increase in fuel consumption while driving performance scores are improved. Real vehicle testing simulates gear-shifting scenarios for verification. Under constant throttle opening acceleration conditions, the vehicle acceleration time is improved by 3.6%. The gear-shifting strategy meets design expectations and can balance economy and driving performance in typical gear-shifting scenarios. References | Related Articles | Metrics

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Lightweight Design of Thrust Rod Support Based on Nastran PAN Ting, QU Yanjuan, WEI Yanyan, YUN Chao, LIN Na 2026, 51(2): 52-56.  DOI: 10.16638/j.cnki.1671-7988.2026.002.009 Abstract ( )   PDF (1712KB) ( )   To further reduce structural mass and improve material utilization, a lightweight design study is conducted for the thrust rod support of a commercial vehicle. On the premise that the structural strength and modal performance meet the design requirements, topology optimization is performed based on the Nastran finite element analysis platform. Under multiple loading constraints, the material distribution of the support structure is reconstructed and iteratively optimized. The objective function is set to minimize the volume fraction, with constraints imposed on equivalent stress and the first-order natural frequency. The results show that the support weight is reduced from 12.1 kg to 7.4 kg, achieving a weight reduction of 38.8%, while all performance indicators remained within acceptable limits. While ensuring the performance of key structural components of commercial vehicles, this study provides a feasible path and engineering reference for lightweight design. References | Related Articles | Metrics

Testing and Experiment

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Analysis and Experimental Study on Vibration and Noise Reduction of Helical Gear Modifications in Electric Drive Axles HU Yihua1 , ZHANG Chaodong1,2, XU Yong1 , HUANG Zhichao2 2026, 51(2): 57-63.  DOI: 10.16638/j.cnki.1671-7988.2026.002.010 Abstract ( )   PDF (7979KB) ( )   To address the issue of abnormal vibration and noise in the electric drive axle transmission system during energy regenerative coasting of a certain type of pure electric pickup truck, a rigidflexible coupled dynamic model of the electric drive axle helical gear transmission system is developed using MASTA software in this paper. The gear mesh characteristics of the system are analyzed under three energy regenerative coasting conditions: low, medium, and high intensity. An orthogonal experimental design method is employed to optimize the gear surface modification scheme. Subsequently, vehicle-level tests are conducted to compare the vibration and noise levels under the three conditions before and after optimization. The results show that, after optimization, the maximum contact pressure and the peak-to-peak transmission error are reduced across all three scenarios. Accordingly, within the whining speed range, the vehicle tests under three regenerative coasting conditions demonstrate reductions in noise amplitudes by 12, 7, 4 dB(A), respectively, indicating a significant improvement in the noise, vibration, harshness (NVH) performance of the electric drive axle transmission system. These findings provide valuable engineering insights for the vibration and noise reduction design of electric drive axle transmission systems. References | Related Articles | Metrics

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Research on Seismic Evaluation Method of Dongfeng EQ2050 Command Vehicle LI Shanna1,2 , ZHANG Yixue1,2, GAO Benxu 1,2 , CHENG Peiyan1,2 , ZHANG Ju1,2* 2026, 51(2): 64-68,117.  DOI: 10.16638/j.cnki.1671-7988.2026.002.011 Abstract ( )   PDF (1349KB) ( )   Special vehicles impose significantly higher requirements for seismic resistance than ordinary vehicles due to their special structures and harsh operating conditions. Current traditional testing methods cannot meet the seismic assessment needs of special vehicles under extreme temperature differences, complex road conditions and high-acceleration impact scenarios. This experiment adopts high-precision vibration testing technology (with a test frequency range of 1～ 1 000 Hz and a spectral resolution of 1 024 lines), combines amplitude spectrum curve analysis and simultaneous frequency sampling methods, accurately locates the key seismic resistance points of the EQ2050 special vehicle, and verifies whether its impact-resistant design complies with the equipment design national standard specified in Terms of Reliability, Maintainability and Supportability (GJB 451A－2005). The research focuses on three aspects of work: first, clarifying the key seismic resistance points of special vehicles by combining the automobile production process and field working condition investigation; second, completing the acceleration data collection of special vehicles under multiple working conditions by adopting the optimized sampling and testing scheme after installing shock absorbers; third, establishing a standardized process for seismic resistance testing of special vehicles and forming a generalizable seismic assessment system based on suspension acceleration data under different working conditions. The research results show that the suspension system of the EQ2050 special vehicle meets the requirements of national standards, and the established testing process can effectively improve the detection accuracy of vibration characteristics of special vehicles, providing key technical support for the seismic design verification of military and various special vehicles. References | Related Articles | Metrics

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Operational Transfer Path Analysis Based on Welch-FastICA Algorithm AI Rui, WANG Jiaochen 2026, 51(2): 69-73,85.  DOI: 10.16638/j.cnki.1671-7988.2026.002.012 Abstract ( )   PDF (1316KB) ( )   An operational transfer path analysis methodology based on the Welch-FastICA algorithm is proposed in this paper. By optimizing the calculation process of the transmissibility and the decoupling method of input signals, it effectively addresses the issues of low accuracy in transmissibility calculation and signal crosstalk in traditional operational transfer path analysis. The improved method is applied to the vibration transfer path analysis of a certain electric vehicle drive motor. Compared with the traditional method, the root mean square error (RMSE) value of the improved method is reduced by 50%, while the correlation coefficient between datasets increased by 4%. These results verify the accuracy of the enhanced operational transfer path analysis method. Furthermore, the method successfully identifies the transfer paths contributing significantly to the drive motor vibration, thereby providing a theoretical basis for vibration reduction in electric vehicle drive motors. References | Related Articles | Metrics

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Research on Simulation and Testing of Safety Performance of Flying Car Components Based on V Process HAO Xufei 2026, 51(2): 74-79.  DOI: 10.16638/j.cnki.1671-7988.2026.002.013 Abstract ( )   PDF (6599KB) ( )   To achieve the full-process development of the safety performance of the body limit system of flying cars, this article takes the panel lock as the object and establishes a V-process full-process development method. Firstly, the design goals are sorted out from the vehicle to the system and then to the component. Secondly, the dynamic load performance from the vehicle to the system and then to the component is decomposed layer by layer by using the simulation analysis method. Finally, the component-level dynamic load test is innovatively completed by using the fatigue testing machine and curve fitting method, thus realizing the safety performance experimental verification from the component to the system and then to the vehicle level. According to the test results, the effectiveness of the V-process development method for the safety performance of innovative products proposed in this article is verified, and the gap of component-level dynamic load testing is also filled. References | Related Articles | Metrics

Process·Materials

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Case Analysis of Technical Transformation of Multi-Vehicle Types in Painting Workshop LI Xiaodan, LIANG Pengfei* , LI Weilin 2026, 51(2): 80-85.  DOI: 10.16638/j.cnki.1671-7988.2026.002.014 Abstract ( )   PDF (2684KB) ( )   There are many problems in the multi-vehicle coproduction technical renovation of the automotive painting production line, which affect the functionality of subsequent production lines. In order to avoid problems in technological transformation, this article comprehensively analyzes the principles, objectives, contents, methods, steps, and precautions of technological transformation from the perspectives of process and equipment through a case study of multi-vehicle coproduction technological transformation. This technological transformation save the enterprise nearly 4 million yuan in investment and reduced the construction period from 60 days to 30 days. The stability of the production line after the technological transformation is verified in 32 months of production. This successful case will provide reference and ideas for the technical transformation of coating co line. References | Related Articles | Metrics

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Research on Mixed-Model Production Line Balancing Optimization Based on Benchmark Process Templates GAO Jiayu, GUO Zicong 2026, 51(2): 86-90.  DOI: 10.16638/j.cnki.1671-7988.2026.002.015 Abstract ( )   PDF (916KB) ( )   This paper focuses on the optimization of production line balancing in mixed-model production, with benchmark process templates as the core research object. In response to the current situation of small-batch and multi-variety production, the necessity and complexity of mixed-model production are analyzed in depth, and balancing strategies for mixed-model production under two typical scenarios of similar and significantly different production rhythms are proposed. By constructing a mathematical model based on benchmark process templates and exploring its principles, the practical application of optimizing mixed-model production balancing, improving production efficiency, and reducing production costs is demonstrated through case studies. The results show that benchmark process templates can effectively integrate the production processes of different products, reduce process waste, and enhance the flexibility and adaptability of the production line, providing theoretical support and practical guidance for enterprises to achieve efficient operation under the mixed-model production mode. References | Related Articles | Metrics

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Research and Application of Heavy Truck Frame Roller Punching Automatic Feeding Technical Scheme DONG Shaofei, HOU Yanzhao, ZHANG Haotian 2026, 51(2): 91-95.  DOI: 10.16638/j.cnki.1671-7988.2026.002.016 Abstract ( )   PDF (1821KB) ( )   Against the backdrop of China's heavy truck industry with an annual output exceeding 1.2 million units, the coil material handling and tape cutting processes in frame longitudinal beam rolling production lines have long been plagued by inefficiency, high safety risks, and heavy reliance on manual labor. These manual operations account for 35% of production accidents, severely compromising safety and productivity. This paper aims to achieve fully automated coil feeding through integrated automation and digital technologies, reducing operational costs while enhancing safety. The solution employs truss manipulators to replace manual lifting with double-girder cranes, and robotic untying to replace manual operations. By integrating control systems with warehousing systems, it enables real-time data exchange between coil storage, lifting routes, and production requirements. This innovation boosts feeding efficiency, minimizes human involvement, reduces safety risks, and advances the manufacturing of heavy truck frame longitudinal beams toward digital unmanned workshop goals. References | Related Articles | Metrics

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Research on the Influence of Copper Wire Bending Process on Resistance Characteristics in Flat Wire Motors LUO Dongzhi1,2 , CHENG Jun2 , CAO Yongpeng2 , YUAN Yang2 , LUO Min2 2026, 51(2): 96-101.  DOI: 10.16638/j.cnki.1671-7988.2026.002.017 Abstract ( )   PDF (1784KB) ( )   To address the problem of resistance increase caused by the bending process of copper wires for hairpin motors, this paper proposes a resistance prediction model that comprehensively considers geometric deformation and microstructural evolution. Through theoretical derivation and experimental verification, the model quantifies the influence mechanism of bending angle and bending times on wire resistance, and reveals the contribution of plastic deformation-induced grain boundary proliferation and dislocation density increase to electrical resistivity. Experiments show that the resistance value increases significantly with the increase of bending times. The correction coefficient k=5.25×10-5 in the model, obtained by fitting experimental data, integrates the actual operating condition variable of bending times into the resistance calculation model. This model makes up for the limitation that traditional resistance formulas only rely on geometric dimensions and material resistivity, achieves accurate matching between the theoretical model and measured results, provides a quantitative tool for predicting resistance changes under complex deformation, and offers theoretical support for the process optimization of high-precision copper wires for hairpin motors. References | Related Articles | Metrics

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Non-Intrusive Standby Leakage Diagnosis Analysis Based on Automotive Fuse Voltage Drop Method ZHANG Bin 2026, 51(2): 102-106.  DOI: 10.16638/j.cnki.1671-7988.2026.002.018 Abstract ( )   PDF (1263KB) ( )   To address the issues of circuit disconnection, complex operation, and space constraints in traditional current clamp and series ammeter methods for automotive standby current diagnosis, a non-intrusive measurement method based on fuse voltage drop is proposed by establishing a "voltage drop-resistance-current" mathematical model using Ohm's law. By analyzing the characteristics of fuse circuit body resistance and contact resistance, the equivalent resistance (Raeq≈0.007 5 Ω) is calibrated via the four-wire method, and the standby current calculation formula is derived. Experimental validation is conducted on models such as the BYD Seal 06 DM-i. Results show that this method controls the static current detection error within ±0.5%, improves detection efficiency by 40%, eliminates the risk of circuit damage caused by forceful fuse operation, and reduces module damage risk to 0%. The study provides an efficient and safe technical solution for leakage detection in vehicle electrical systems, which has been standardized in multiple BYD 4S stores and offers a replicable technical path for leakage diagnosis in low-voltage systems of new energy vehicles. References | Related Articles | Metrics

Automobile Education

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Exploration and Practice of Curriculum Ideological and Political Education in Automotive Service Engineering GAO Qiang, DENG Xiaoting, SONG Siyu 2026, 51(2): 107-111.  DOI: 10.16638/j.cnki.1671-7988.2026.002.019 Abstract ( )   PDF (1198KB) ( )   This study aims to explore specific approaches for integrating the spirit of the 20th National Congress of the Communist Party of China into the professional curriculum of Automotive Service Engineering, promote the deep integration of ideological and political education with professional courses, and implement the fundamental task of "fostering virtue through education" in higher education. By reconstructing the knowledge module system of the curriculum, innovating case teaching and practical teaching methods, and improving the evaluation mechanism for the effectiveness of ideological and political integration, a "university-industry collaborative education" model is adopted to combine the spirit of the 20th National Congress with industry needs. A trinity curriculum ideological and political system of "theory-practice-evaluation" is constructed, achieving the organic integration of the spirit of the 20th National Congress with professional knowledge, and effectively enhancing students' professional competence and patriotic sentiment. Through the innovative practices of curriculum module reconstruction and university-industry collaboration, a replicable and promotable paradigm for curriculum ideological and political reform has been formed, providing methodological reference for value-oriented education in professional courses in the new era. References | Related Articles | Metrics

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Exploration and Practice of the Reform Path of Automobile Construction Curriculum from the Perspective of "Three Comprehensive Education" LI Yuli 2026, 51(2): 112-117.  DOI: 10.16638/j.cnki.1671-7988.2026.002.020 Abstract ( )   PDF (1161KB) ( )   The traditional teaching mode fails to meet the talent training requirements of "new engineering". Automobile Construction serves as an introductory core course for the Vehicle Engineering major. The innovative practice based on the concept of "three-wide education" aims to achieve the organic unity of knowledge imparting, competence development and value guidance for students, and improve the quality of talent training. Based on the university teaching reform project in Shanxi province, this paper takes moral education as the fundamental task, focuses on the existing pain points in the curriculum construction of Automobile Construction, and establishes an education mechanism featuring full-staff collaboration, full-process penetration and all-round integration. The teaching reform is carried out by optimizing the structure of the teaching staff, enriching teaching modes, deeply integrating curriculum-based ideological and political education, and improving the assessment and evaluation system, with the adoption of blended learning models and the integration of theory with practice. Results show that students learning interest increases significantly and the employment rate rises by 10%. Practice demonstrates that the curriculum teaching reform effectively enhances students satisfaction and achieves good results in teaching quality. References | Related Articles | Metrics

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Exploration and Practice of the Three-Helix Co-Cultivation Classroom for Automotive Majors in the Digital Context HUANG Kanfeng 2026, 51(2): 118-124,140.  DOI: 10.16638/j.cnki.1671-7988.2026.002.021 Abstract ( )   PDF (1347KB) ( )   This paper addresses such problems as low student engagement, weak learning initiative and a single teaching mode in the automotive major courses of traditional vocational colleges. It develops teaching resources by virtue of digital technologies and creates intelligent interactive teaching scenarios. With knowledge accumulation as the foundation, skill training as the means and comprehensive quality improvement as the goal, it constructs a three-helix teaching model centered on knowledge, skills and quality, so as to comprehensively improve the classroom engagement and teaching efficiency of automotive major courses. Meanwhile, it comprehensively applies the three-dimensional evaluation system consisting of process-oriented, formative and summative assessments, fully aligns with the curriculum objectives, enhances students' personal and professional confidence, and guides them to establish a sound world outlook, outlook on life and outlook on values. References | Related Articles | Metrics

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Practice of Post Workflow-based "Six-Step Maintenance" Teaching Process for Automotive Majors XIAO Yi 2026, 51(2): 125-130.  DOI: 10.16638/j.cnki.1671-7988.2026.002.022 Abstract ( )   PDF (3079KB) ( )   To address the problems such as the disconnection between theory and practice, the single evaluation dimension and the insufficient job adaptability in the teaching of automotive-related majors in higher vocational colleges, this article takes the reconstruction of the teaching process as the core perspective, focuses on the field of intelligent automotive maintenance, and constructs the "six-step maintenance" teaching process and the "starlight technician" value-added evaluation system. By replicating the real maintenance tasks of enterprises, implementing job rotation teaching, and combining multi-subject and multi-dimensional experience value quantitative evaluation. Practice has shown that this system can enhance students' core job competencies, professional qualities and innovative consciousness, shorten the job adaptation cycle, increase enterprise satisfaction, and provide a replicable practical model for the teaching reform of automotive-related majors in higher vocational colleges. References | Related Articles | Metrics

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Innovation and Practice of Information-Based Teaching in Engineering Courses in Colleges and Universities －A Case Study of Rain Classroom in Electrical Machines and Electrical Control BAI Yang, YUAN Gaihong 2026, 51(2): 131-135.  DOI: 10.16638/j.cnki.1671-7988.2026.002.023 Abstract ( )   PDF (1130KB) ( )   With the in-depth development of educational-based informatization, the online-offline blended teaching model has become an important approach to improving teaching quality. To further give full play to the teaching support role of information-based education and address the teaching predicaments in traditional engineering courses, such as insufficient student interest, limited practical sessions, single assessment methods, and lack of personalized teaching, this paper focuses on the characteristics of engineering courses in colleges and universities, which involve high theoretical difficulty and high practical requirements. Taking the Electrical Machines and Electrical Control course as an example, it shares practical experience in the full-process teaching integration of rain classroom before, during, and after class. Furthermore, from the perspectives of the construction of information-based platforms, privacy protection, and teachers' information literacy, it puts forward safeguard suggestions for information-based teaching of engineering courses in colleges and universities. References | Related Articles | Metrics

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Innovative Research on the "Five-Governance Integration" Education Model for Automotive Majors in Higher Vocational Colleges in Xinjiang YAN Dehong 2026, 51(2): 136-140.  DOI: 10.16638/j.cnki.1671-7988.2026.002.024 Abstract ( )   PDF (1040KB) ( )   This article takes the current situation of the education model for automotive major students in higher vocational colleges in Xinjiang as the entry point, combined with the national high-quality development strategy and the background of the intelligent and new energy transformation of the automotive industry, it analyzes the current situation and opportunities of the mismatch between the training model of automotive major students in higher vocational colleges in Xinjiang and the social demand for talents, and focuses on solving the problems existing in the current education model in Xinjiang. Through on-site research, material analysis, and follow-up investigation, and in combination with dimensions such as ideological and political education in courses, laws and regulations, industry policies, school-enterprise cooperation, and skills training, a new model of education and development featuring the integration of political guidance, legal guarantee, moral education, self-governance to strengthen the foundation, and intelligent governance to support is proposed. It aims to promote a new educational model that matches the cultivation of automotive talents in higher vocational education in Xinjiang with the demands of the regional economy. References | Related Articles | Metrics

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Exploring and Practicing Ideological and Political Education in Automotive Specialized Courses of Higher Vocational Colleges －Taking the New Energy Vehicle Technology Course as an Example WANG Yajuan 2026, 51(2): 141-146.  DOI: 10.16638/j.cnki.1671-7988.2026.002.025 Abstract ( )   PDF (1397KB) ( )   To address issues such as forced integration, limited relevance, and insufficient effectiveness in ideological and political education within automotive programs at higher vocational colleges, this study implements a systematic teaching reform using the New Energy Vehicle Technology course as a platform. The reform includes the following key approaches: incorporating professional ethics, craftsmanship, and innovation awareness into knowledge modules based on the principle of cultivating both ethical and technical competence; restructuring modular teaching content through close alignment with job requirements, competition standards, and certification systems under the "post-class-competition-certification" integration mechanism;adopting studentcentered and teacher-guided instructional models, such as project-based learning and case discussions, to enhance ideological engagement; establishing a multi-dimensional, value-added evaluation system that combines formative and summative assessments with multi-stakeholder involvement to support holistic student development. Supported by tiered instruction and online tracking mechanisms, the reform yields significant outcomes: students win 20 awards in provincial or higher-level skill competitions, achieve a 95% vocational certificate pass rate, and reach a 98.57% employment rate. These results demonstrate a meaningful enhancement of students' ideological awareness and professional skills, providing a transferable model for similar programs. References | Related Articles | Metrics