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15 October 2025, Volume 50 Issue 19 Previous Issue   
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New Energy Vehicle
Intelligent Connected Vehicle
Design and Research
Process·Materials
Automobile Education


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New Energy Vehicle

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Design and Application of High Speed Motor System Test Bench for New Energy Vehicle HU Yixin1 , CHEN Zhanglei1 , YONG Zhe1 , JIANG Kejun1*, GU Junxian2 2025, 50(19): 1-6.  DOI: 10.16638/j.cnki.1671-7988.2025.019.001 Abstract ( )   PDF (1681KB) ( )   Due to the inability of traditional motor testing bench to meet the speed measurement requirements of high-speed motors for new energy vehicle, this paper designs a new energy electric drive system testing bench, which includes key components such as a power dynamometer, battery simulator, cooling system, data acquisition and analysis system, and upper computer control system. A permanent magnet synchronous motor is used to replace the traditional three-phase asynchronous alternating current motor used in the test bench as the dynamometer, and a high-precision Qishile speed and torque sensor is adopted. A complete test bench system is built. The system is able to comprehensively and accurately detect key indicators such as energy efficiency, power performance, thermal stability, and heat dissipation performance of high-speed motors for new energy vehicle can provide strong support for the optimization and performance improvement of new energy vehicle power systems. References | Related Articles | Metrics

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Research on Energy Management Strategies of Hydrogen Fuel Cell Electric Vehicle ZOU Peipei1 , REN Jiawei2 2025, 50(19): 7-13.  DOI: 10.16638/j.cnki.1671-7988.2025.019.002 Abstract ( )   PDF (1174KB) ( )   The design of energy management strategy is indispensable for fuel cell vehicles, which directly affects the service life of components and the fuel economy of the vehicle. This paper seeks to ensure the power of the vehicle and keep the state of charge (SOC) within a certain range while reducing fuel consumption costs for fuel cell bus. Based on the driving schedule from the actual vehicle operation data, the power demand for driver is modeled as a Markov model, and an energy management strategy based on stochastic dynamic programming algorithm is proposed and the control rules for power distribution between fuel cell and power battery are obtained. As the simulation results show, the stochastic dynamic programming strategy can keep SOC within the constraints, and the hydrogen consumption per hundred kilometers is 5% lower than that of the original vehicle strategy. References | Related Articles | Metrics

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The Active Sound Quality Control Method for Electric Vehicle Motor Noise ZHAO Xun, CUI Huaifeng* , CUI Huai, FANG Xin 2025, 50(19): 14-20.  DOI: 10.16638/j.cnki.1671-7988.2025.019.003 Abstract ( )   PDF (1007KB) ( )   Aiming at the psychoacoustic annoyance (PA) optimization control problem of electric vehicle motor noise, this paper proposes an adaptive control method that integrates active noise control (ANC) and active sound quality control (ASQC), with annoyance as the control objective and the dominant harmonic noise component of the motor as the input signal. The psychoacoustic features of noise are extracted by constructing a PA detector, and the annoyance factor is iteratively optimized in combination with an adaptive filtering algorithm featuring a dynamic step size adjustment mechanism. The simulation and real vehicle test results show that this method can significantly reduce the annoyance of motor noise inside the vehicle, with the maximum reduction reaching 95.4%. It significantly improves the sound quality and ride comfort of pure electric vehicles, providing a new idea for the optimization of the vehicle's acoustic performance. References | Related Articles | Metrics

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Matching Design and Simulation Analysis of Power System of 12 m Pure Electric Bus WANG Haitao, WANG Yu, LIU Xiaonan 2025, 50(19): 21-25,86.  DOI: 10.16638/j.cnki.1671-7988.2025.019.004 Abstract ( )   PDF (1301KB) ( )   To address the practical issues of traffic congestion during school rush hours and the excessive number of vehicles used for student drop-off and pick-up, as well as to provide an efficient and convenient new commuting solution for students and their parents, this paper conducts research on the design and optimization of the powertrain for 12 m pure electric school bus. Centering on the core performance requirements of the vehicle, such as dynamic performance and economic efficiency, and with power batteries as the core power source, the paper completes the parameter matching calculation for key components including the drive motor and power batteries, determines the optimal parameter combination, and further constructs a high-efficiency powertrain assembly and supporting control strategy for the electric bus. In accordance with the simulation specifications of AVL_Cruise software, the paper establishes a simulation model for the powertrain and control system of the 12 m pure electric bus, and conducts simulation analysis on the dynamic performance and economic efficiency of the powertrain assembly. By comparing and verifying the simulation results with the design parameters of the actual vehicle's performance, the results show that the designed powertrain parameter matching scheme can fully meet the performance requirements of the vehicle in actual operation, providing feasible technical support for alleviating traffic pressure during school commutes and optimizing the school commuting mode. References | Related Articles | Metrics

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Research on Energy Distribution Strategy of Dual Electric Drive Axle ZHANG Ming 2025, 50(19): 26-30.  DOI: 10.16638/j.cnki.1671-7988.2025.019.005 Abstract ( )   PDF (988KB) ( )   In the field of electric vehicles, single-speed and multi-speed dual-motor electric axle architectures have certain potential to improve vehicle performance, but the problem of energy consumption optimization is prominent. In this paper, a real-time estimation of motor efficiency and dynamic torque distribution strategy based on Kalman filter are proposed. As an efficient state estimation algorithm, extended Kalman filter (EKF) can fuse noisy measurement data to accurately extract motor operating status information. By constructing an extended Kalman filter observation model of motor efficiency-speed-torque, the efficiency characteristics of dual motors can be accurately estimated online. Combined with the dynamic programming algorithm, the torque of the dual motors is distributed with the goal of optimal system efficiency. Actual vehicle road tests have shown that the strategy can save 3.3% of electricity consumption compared to the proportional allocation strategy. References | Related Articles | Metrics

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Research on Accurate Evaluation of Power Battery Health State Based on CNN-LSTM Hybrid Model KE Shenglan, LI Dan* , LV Yafan 2025, 50(19): 31-36.  DOI: 10.16638/j.cnki.1671-7988.2025.019.006 Abstract ( )   PDF (2003KB) ( )   The graded utilization of power batteries relies on accurate state of health (SOH) evaluation. However, existing methods suffer from limitations such as dependence on single features and neglect of temporal dynamic changes. This paper proposes a hybrid convolutional neural network-long short-term memory (CNN-LSTM) model based on industrial computed tomography (CT) images. The method extracts three-dimensional internal structural features of battery cells from industrial CT images, and the CNN-LSTM hybrid model simultaneously captures spatial features and temporal degradation patterns to achieve accurate SOH prediction. Experimental results demonstrate that the proposed method achieves a mean squared error (MSE) of 0.033. Compared to traditional internal resistance methods and electrochemical impedance spectroscopy (EIS) methods, the mean absolute error (MAE) is reduced by over 30% (from 0.038 to 0.026). Moreover, the prediction error rate remains below 4.2% across different SOH ranges (40%～100%). This study provides a highprecision tool for screening batteries in graded utilization and promotes the sustainable development of the new energy industry. References | Related Articles | Metrics

Intelligent Connected Vehicle

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MATLAB-Based Intelligent Car Path Recognition and Algorithm Optimization PAN Junlin, QIU Jianbin* , XU Rui 2025, 50(19): 37-42.  DOI: 10.16638/j.cnki.1671-7988.2025.019.007 Abstract ( )   PDF (1119KB) ( )   In order to solve the problems of insufficient perception image processing accuracy and poor anti-interference ability of path recognition in complex road environment, this paper designs a multi-stage optimization method that integrates the Otsu's method, the eight-neighborhood boundary tracking algorithm and the median filter, and verifies the effectiveness of the scheme by MATLAB simulation. The proposed method achieves systematic improvement through a three-level processing mechanism: the original Otsu's method with dynamic threshold adjustment is used to improve the image segmentation accuracy under complex lighting, the path contour features are extracted by the eight-domain boundary tracking algorithm, and the path topology optimization and noise suppression are realized by combining median filtering, so as to improve the anti-interference ability of the system as a whole. Experiments show that the proposed method reduces the standard deviation of path coordinates by about 50%, which not only improves the image processing accuracy, but also significantly strengthens the robustness of path recognition, thereby improving the tracking reliability of the intelligent car. References | Related Articles | Metrics

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Vehicle EDR Data Analysis Based on DeepSeek －Taking an Intelligent Car Accident as an Example XU Hao1 , TAN Zhengping1,2,3* , ZHAO Bowen1 , WEN Yansong1 , WANG Qian1 2025, 50(19): 43-49.  DOI: 10.16638/j.cnki.1671-7988.2025.019.008 Abstract ( )   PDF (2011KB) ( )   In recent years, the number of motor vehicles has been increasing and traffic accidents have occurred frequently, making accident analysis an important part of ensuring traffic safety. Among them, the data analysis of the event data recording (EDR) system is particularly crucial. This study aims to alleviate the problems of heavy workload and low efficiency in traditional manual analysis. Using partial EDR table data of the involved vehicle as samples, based on the DeepSeek model, a "main task–sub task–micro task" prompt method is adopted to analyze the accident process in combination with information such as airbag status, vehicle speed, acceleration, etc.Then, by combining the changes in speed and acceleration points, driver operation, and various system data of the vehicle, the factors affecting the changes in driving status are identified. The results show that the vehicle accelerated from an initial speed of about 60 km/h to 180 km/h before colliding, with collision speeds of 171 km/h, 122 km/h, and 71 km/h respectively. Adaptive cruise control (ACC) is activated before the accident, and the driver accidentally stepped on the accelerator pedal throughout the entire process, resulting in almost no braking during the accident. This result is consistent with reality, indicating the feasibility of DeepSeek technology in EDR data analysis and providing direction for more specific analysis in the future. References | Related Articles | Metrics

Design and Research

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The Design of Hardware Accelerator for FOC Control Based on CORDIC Algorithm ZHANG Cao1 , GUAN Zhongxu 2 , BAO Huricha2 , LI Linnan2 , SHI Gang1 2025, 50(19): 50-57.  DOI: 10.16638/j.cnki.1671-7988.2025.019.009 Abstract ( )   PDF (3454KB) ( )   The Cortex-M architecture is designed around the concept of low-power, real-time control, with the advantage of being able to tightly couple I/O and peripherals through a very lightweight software layer. However, this architecture is not ideal for tasks that process large amounts of data, and due to the increasing complexity of motor control algorithms, the computational performance requirements for local data analysis are also growing, which poses some challenges to microcontroller unit (MCU) with Cortex-M architecture. In order to solve this problem, this paper designs a new hardware accelerator, which uses the simplicity and efficiency of the CORDIC algorithm to achieve high-precision trigonometric function operation, and uses the hardware module to realize the entire control process of field oriented control (FOC), and the maximum delay for completing a FOC operation is 264.5 ns. This drastically reduces the runtime and energy consumption of signal processing algorithms, and the new accelerator module will provide users with more precise and complex running algorithms while maintaining energy efficiency. References | Related Articles | Metrics

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Study on Failure Types of Liquefied Natural Gas Cylinders for Vehicles LUO Feng, ZHANG Jie, Yeerdana Baolatibieke 2025, 50(19): 58-61.  DOI: 10.16638/j.cnki.1671-7988.2025.019.010 Abstract ( )   PDF (2188KB) ( )   In recent years, liquefied natural gas (LNG) heavy duty trucks have developed rapidly. As an important part of LNG heavy trucks, the reliability of LNG cylinders has a great influence on the running efficiency of vehicles. Through case studies of actual LNG cylinder failures, this paper identifies common issues including vacuum system failures, safety valve malfunctions, and booster valve dysfunction. By analyzing the root causes of these failure modes, the study proposes improvement measures focusing on structural design optimization and process enhancement. These targeted solutions aim to prevent potential failures, improve the operational reliability of LNG cylinders, and ultimately enhance the stability of vehicle operations. References | Related Articles | Metrics

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Research on Modeling Method for Automotive Dashboard Based on Feature Recognition TONG Shaowei1 , MA Xianglei1 , WANG Hui2* , QIU Xinghui2 2025, 50(19): 62-67.  DOI: 10.16638/j.cnki.1671-7988.2025.019.011 Abstract ( )   PDF (2035KB) ( )   With the rapid advancement of the automotive industry, dashboard design confronts dual challenges in efficiency and innovation. This paper proposes a method of dashboard feature recognition and rapid modeling based on YOLOv8 algorithm, aiming to integrate historical design expertise to enable rapid prototyping during the initial design phase, thereby shortening the development cycle and improving design efficiency. First, dashboard base surfaces are constructed using styling surface and cross-section generation techniques to address the complexity of current design workflows. Second, the YOLOv8 algorithm is leveraged to efficiently identify critical features of dashboard skeletons, ensuring high accuracy while substantially accelerating recognition speed. Finally, matched feature modules are dynamically invoked based on recognition results and integrated with base surface models to swiftly generate design-compliant dashboard prototypes. Experimental results indicate that the trained recognition model achieves precision and recall rates of 75% and 75%, respectively, with mAP@0.5 and mAP@0.5:0.95 stabilized at 0.82 and 0.6. The rapid prototyping of dashboard based on the identification model can not only improve the design efficiency, but also ensure the accuracy and innovation of the design, which provides a new technical path for the design of automotive dashboard. References | Related Articles | Metrics

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The Application of Metal Bellows Tube Technology in Exhaust System WANG Wenjuan, XU Wenliang 2025, 50(19): 68-71,102.  DOI: 10.16638/j.cnki.1671-7988.2025.019.012 Abstract ( )   PDF (2905KB) ( )   Flexible hoses, as components of automotive parts, are important for absorbing engine vibrations. Within the industry, they exhibit diverse structures, leading to significant variations in performance and price. Moreover, different structures play distinct roles in commercial vehicles, passenger cars, mining vehicles, and other off-road transport vehicles. This article mainly introduces the mainstream structural types of exhaust metal flexible hoses in the current vehicle industry, briefly analyzes the service characteristics and application scopes of various solutions, clarifies that different structural flexible hoses have distinct focuses in terms of application scenarios, and provides practical references for the design of exhaust system components in various types of vehicles. References | Related Articles | Metrics

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Improving the Efficiency of Problem Management and Control in Heavy-duty Truck Development Based on Big Data Visualization PENG Siqi, ZHANG Pan, LI Chenglin, LIU Hao, CAO Shuai 2025, 50(19): 72-77.  DOI: 10.16638/j.cnki.1671-7988.2025.019.013 Abstract ( )   PDF (1089KB) ( )   The development process of heavy-duty truck products is a systematic engineering endeavor, where the efficiency of issue management directly impacts the project development cycle. Traditional issue management and development primarily relies on manual experience and offline operations, making it difficult to achieve informatized collaborative control. Additionally, the lack of data-driven decision support results in low efficiency and insufficient scientific rigor in decisionmaking. The article proposes an information-based approach for comprehensive management of issue feedback, decomposition, and closure throughout heavy-duty truck development processes, while correlating problem resolution status with project progress. Leveraging big data visualization models, it enables categorized statistics, screening, early warnings, and delay tracking of development issues. By presenting complex datasets through intuitive graphics and visualizations,this methodology streamlines data analysis processes, enhances issue control efficiency, and provides robust support for research and development decision-making, project development productivity, and valve review processes. References | Related Articles | Metrics

Process·Materials

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Analysis on Reuse of Fixture Bolt Based on Torque and Friction Coefficient Test WANG Haoyang, WANG Suqian, DONG Weiwei 2025, 50(19): 78-80,137.  DOI: 10.16638/j.cnki.1671-7988.2025.019.014 Abstract ( )   PDF (3422KB) ( )   Fixture bolts applied at the engine assembly station of a certain automobile production line are discarded after only one use, leading to significant cost waste. To verify the feasibility of reusing the bolts at this station, brand-new bolts and those tightened repeatedly for 3 times, 5 times, and 10 times are selected respectively and divided into groups for friction coefficient testing and torque testing. Test results indicate that the end face friction coefficient, thread pair friction coefficient, and total friction coefficient of the bolts increase with the growth of their service times: when the bolts are reused 3 times, the indexes still stay within the standard range; when reused 5 times, the indexes exceed the standard requirements. Ultimately, it is confirmed that the bolts at this station can be reused for a maximum of 3 times, which effectively cuts down production costs. References | Related Articles | Metrics

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Application Practice of Automatic Refilling System for Commercial Vehicle Working Fluid ZHAO Heyu, TU Changkai, ZHANG Huahua, ZHANG Xuan, YAN Linhai 2025, 50(19): 81-86.  DOI: 10.16638/j.cnki.1671-7988.2025.019.015 Abstract ( )   PDF (4150KB) ( )   With the development of the automotive manufacturing industry and the increasing demand for customer customization, the product production cycle is constantly being compressed. The complexity of automotive manufacturing processes is also rising, and the vast variety of automotive parts poses greater challenges to production and logistics operations for automotive manufacturers. This paper focuses on the transition of working fluid filling methods towards automation and intelligence. It provides a detailed explanation of the working principles, key technologies, and implementation steps of the automatic working fluid filling system in commercial vehicle manufacturing. Through a case study from commercial vehicle production, the paper highlights the significant advantages of the automatic filling system in improving production efficiency, ensuring filling accuracy, and reducing labor costs. Compared with manual filling, the filling error of the working fluid can be controlled within ±2%, the filling time can be reduced by more than 38%, the filling accuracy can reach above 98%, and the overall vehicle failure rate can be reduced by 70%. It is evident that the application of the automatic filling system can significantly enhance the efficiency and quality of working fluid filling in commercial vehicle manufacturing, providing strong support for the intelligent transformation of enterprises. References | Related Articles | Metrics

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Analysis of Tightening Failure and Causes of Self-tapping Screws in Automatic Assembly of Body in White ZOU Shangbo, GUO Dongdong, LIU Shaoyin, HE Linyue, JIANG Zongrui, KONG Dequn 2025, 50(19): 87-91.  DOI: 10.16638/j.cnki.1671-7988.2025.019.016 Abstract ( )   PDF (3702KB) ( )   Self-tapping screw is a fastener that does not require pre-tapping internal threads, in the self-tapping screw is screwed in by self-extrusion to form threads. In this paper, for the production process, self-tapping screws in the automatic tightening of frequent tightening not in place, jamming, overflow buckle and other failure problems, combined with the actual production of tightening equipment and process, the size of the screw and screw defect analysis. Through the optimization of the structure of the tightening gun, tightening programs, reduce the tightening defect rate. Through the screw processing mode and the composition of the screw thread analysis, to determine the root cause of the tightening failure, and screw thread processing process improvement. Through the full verification of the actual production process, after the change of the program and the improvement of screws to meet the actual production requirements. Process defects are almost completely eliminated in the tightening process, which improves the quality of the car body and production efficiency. References | Related Articles | Metrics

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Analysis of Optimization Techniques for Resistance Spot Welding Strength Prediction Models LAI Zhiyong1 , LIN Yanmin2 , WAN Xiaomeng1 , WANG Yukui3 , HUANG Yixuan4 2025, 50(19): 92-96.  DOI: 10.16638/j.cnki.1671-7988.2025.019.017 Abstract ( )   PDF (1068KB) ( )   In automotive body welding, the quality of resistance spot welding is primarily determined by the shear strength that the weld nugget can withstand. However, measuring this shear strength requires destructive testing, which is not only inefficient and costly but also impractical for inspecting welds on actual production parts. Therefore, quality inspection is limited to sample testing using coupons or manual ultrasonic spot checks. To enable real-time online monitoring of weld quality, this paper designs multiple prediction models for spot welding strength. The predictive performance of these models is compared based on metrics such as the adjusted coefficient of determination (R 2 ) and mean absolute percentage error (MAPE). The genetic algorithm-optimized backpropagation neural network model is ultimately selected. This model achieves an adjusted R 2 of 0.992 8 and a MAPE of 2.292%, demonstrating excellent performance and contributing to the overall improvement of automotive body quality References | Related Articles | Metrics

Automobile Education

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Development and Practice of a Workbook-Style Textbook for New Energy Vehicle Operation and Maintenance from the Perspective of Industry-Education Integration HUANG Feng1 , ZHANG Hua2 , SHEN Xiawei1 , FAN Tianci1 , ZHAO Ruoyu 1 , XU Shuaibing1 2025, 50(19): 97-102.  DOI: 10.16638/j.cnki.1671-7988.2025.019.018 Abstract ( )   PDF (1975KB) ( )   Driven by the national reform of vocational education, workbook-style textbooks have become a key focus of teaching innovation in vocational education. Under the context of the "five metals" initiative in industry-education integration and the new "double high-level plan", this paper conducts a study on the textbook for New Energy Vehicle Operation and Maintenance. By analyzing issues such as outdated knowledge, irrational structural design, and monotonous presentation formats in existing professional textbooks, the development and implementation process of the workbookstyle textbook is elaborated in detail: a diverse compilation team including experts from academic institutions and enterprises is formed; content is determined based on job requirements and organized through project guidance and task-driven approaches; an integrated teaching-learning-doing format is designed, incorporating ideological and political elements; digital resources such as micro-lectures are developed. After publication and application, the textbook receives positive feedback from both teachers and students, proving "easy to teach" and "easy to learn". It also contributes to achievements in teaching competitions, improves certification pass rates, and enhances employment rates, providing a reference for the development of similar textbooks. References | Related Articles | Metrics

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Explore on the Reconstruction of the Automobile Design Curriculum Based on the OBE Concept and Digital and Intelligent Empowerment CHEN Xiaoyuan, LIU Chao, XING Ying 2025, 50(19): 103-108.  DOI: 10.16638/j.cnki.1671-7988.2025.019.019 Abstract ( )   PDF (1355KB) ( )   In response to the urgent need of the national strategy for compound vehicle engineering talents, the curriculum content reconstruction is implemented based on the outcome-based education (OBE) concept. The paper focuses on the pain points of the traditional teaching system. By constructing a three-dimensional knowledge module of "theory-industry-innovation" and a digital and intelligent resource database, the curriculum content framework is reshaped. A teaching mode of "double chains, three stages and four progresses" is innovatively designed. A knowledge graph is used to construct the learning framework, and a mixed strategy of "online note-driven + offline project-driven" is implemented. Moreover, a mechanism for the in-depth integration of curriculum ideology and politics and engineering practice is established. The paper innovatively proposes a three-dimensional collaborative education path of "professional quality-ideological and political education-digital and intelligent empowerment". Its theoretical value lies in constructing a new paradigm of engineering education in the intelligent era, and its practical value is reflected in the formation of a cultivable program that integrates knowledge and practice and can be promoted, providing an important reference for the reform of higher engineering education. References | Related Articles | Metrics

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Exploration of Ideological and Political Practice in Vehicle Engineering Experiments under the Background of "Opto-Mechano-Electronic Synergy" LI Dezhen 2025, 50(19): 109-112,144.  DOI: 10.16638/j.cnki.1671-7988.2025.019.020 Abstract ( )   PDF (1083KB) ( )   To cultivate comprehensively qualified automotive professionals, this paper explores ideological and political practice within the experimental teaching of vehicle engineering under the characteristic teaching background of "opto-mechano-electronic synergy." Leveraging the disciplinary advantages of the institution, the environment and hardware are integrated to assign four types of laboratories with moral education responsibilities covering the entire undergraduate stage. On this basis, an innovative "trinity" vehicle experiment platform is established. From the perspectives of capability and software, a "multi-level progressive" ideological and political teaching model is applied to tailor course integration and comprehensively enhance teachers' competence in ideological and political education, thereby embedding moral education throughout the entire teaching process. References | Related Articles | Metrics

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Research and Practice on New Energy Vehicle Major Group Construction Driven by "School Alliance-Industry Cluster" Innovation HOU Pengpeng 2025, 50(19): 113-117.  DOI: 10.16638/j.cnki.1671-7988.2025.019.021 Abstract ( )   PDF (1044KB) ( )   In response to the problems of the new energy vehicle major, such as multidisciplinary integration, complex curriculum systems, insufficient cultivation of "dual-qualified teachers", and lack of motivation in school-enterprise cooperation, Shandong Traffic Technician College has collaborated with universities, vocational colleges, and enterprises to establish the "school allianceindustry cluster" innovation community. Through a new model of school-enterprise cooperation, the teacher evaluation mechanism has been optimized to encourage teachers' participation in corporate technological technology breakthrough. Meanwhile, measures such as advanced work experience recognition have been adopted to enhance enterprises' attractiveness to outstanding graduates. The research team has developed a curriculum system based on work process systematization, and has developed teaching resources integrating theory, virtual, and practice, and has built a teaching quality assurance system. Through industry surveys and interviews with practice experts, typical work tasks have been identified to form curriculum content closely aligned with industrial needs. Practice has shown that this model effectively enhances the practical abilities of "dual-qualified teachers", strengthens the bond of school-enterprise cooperation, and improves the quality of talent cultivation. In terms of curriculum construction, a curriculum system covering core contents such as the three electric systems and intelligent connected of new energy vehicle has been successfully built. The teaching resources such as school-based teaching materials, work pages, question banks, maintenance operation videos, and animations have been developed, forming an information-based teaching resource platform integrating theory, virtual, and practical operation based on the work process system. This has significantly improved teaching effectiveness and students' interest in learning, providing a reference for the construction of the new energy vehicle major. References | Related Articles | Metrics

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Teaching Reform of Automotive Electronics Technology Major Curriculum Based on Job Requirements ZHANG Cuiqing 2025, 50(19): 118-122.  DOI: 10.16638/j.cnki.1671-7988.2025.019.022 Abstract ( )   PDF (4435KB) ( )   At present, there are problems in classroom teaching, such as teaching content not constructed. Thirdly, the teaching strategy of "collaborative school-enterprise dual system and virtual-practical and vehicle repair" has been implemented. Finally, the evaluation system of "tripleagent, four-method, three-dimensional" has been developed. The curriculum and teaching reform has achieved remarkable results. matching the job requirements, teaching modes not being able to stimulate students' interests, and teaching evaluation methods not being comprehensive, which result in graduates being unable to seamlessly integrate with employment positions. This article takes the core course Principles and Diagnosis of Vehicle Electrical Systems in the automotive electronics technology major as an example. Based on the "three difficulties", a teaching paradigm of "school enterprise cooperation and job course integration" has been formed. The reform of curriculum teaching has achieved remarkable results, specifically through four aspects. Firstly, the teaching objectives of "understanding theory and creativity, being able to diagnose and repair" have been set. Secondly, the ideological and political system of "cultivating craftsmanship spirit and forging technical mastery" has been References | Related Articles | Metrics

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Construction and Application of a Comprehensive Evaluation System for Blended Courses Based on the OBE Concept －A Case Study of Automobile Insurance and Claims WU Ling 2025, 50(19): 123-127.  DOI: 10.16638/j.cnki.1671-7988.2025.019.023 Abstract ( )   PDF (1282KB) ( )   This study addresses issues such as insufficient systematicness and single subject in blended curricula covering four dimensions: curriculum objectives, design, implementation, and effects. Taking the course Automotive Insurance and Claims Settlement as a case, it collects data through questionnaires (with 53 valid samples) to verify the effectiveness of the evaluation system. Results show that the average scores for curriculum objectives, design, implementation, and effects are 4.63, 4.59, 4.65, and 4.60 respectively, with the comprehensive evaluation score reaching 4.62 (out of a full score of 5). Core indicators such as clarity of curriculum objectives, diversity of teaching methods, and student satisfaction all receive high ratings of over 90%. The study indicates that the system can systematically reflect the quality of blended curricula, effectively enhance the effects of knowledge transfer, competence cultivation, and professional values shaping, and provide practical guidance for curriculum optimization (e.g., strengthening practical teaching links). blended curriculum evaluation. Based on the concept of outcome-based education (OBE), it innovatively constructs a multi-subject evaluation mechanism involving the collaboration of teachers, students, designers, and external experts, and proposes a comprehensive evaluation system for References | Related Articles | Metrics

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Intellectual Property Empowerment Training of Mechanical TalentsInnovative Practice-Patent Protection ZHENG Bin 2025, 50(19): 128-132.  DOI: 10.16638/j.cnki.1671-7988.2025.019.024 Abstract ( )   PDF (1168KB) ( )   To enhance the innovation ability of students majoring in mechanical engineering, the remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry.remarkable progress in innovative design and patent application, and also enhanced their risk awareness and patent protection capabilities. Build a curriculum system that combines mechanical engineering with intellectual property rights, integrate practical activities with patent innovation education, promote the all-round development of the innovation ability of mechanical engineering students, and cultivate high-quality talents with an innovative spirit and awareness of intellectual property protection for the industry. empowerment strategy of intellectual property rights for mechanical talent cultivation focuses on innovative practice and patent protection. The article strengthens the awareness and ability of innovation through various means such as course design, graduation design, participation in various subject competitions and scientific research projects. By holding patent lectures to enhance innovation capabilities, offering patent elective courses to cultivate patent innovation thinking, and adopting a guidance model for senior students to stimulate innovation awareness, students' abilities in patent innovation and the refinement and transformation of achievements can be strengthened. By emphasizing technological innovation and tapping into innovative potential, students have made References | Related Articles | Metrics

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Exploration on Teaching Reform of Inspection, Maintenance and Fault Diagnosis of New Energy Vehicle Charging Systems Course YANG Yongxin 2025, 50(19): 133-137.  DOI: 10.16638/j.cnki.1671-7988.2025.019.025 Abstract ( )   PDF (1221KB) ( )   To enhance the alignment of the Inspection, Maintenance and Fault Diagnosis of New forward-looking perspective. Methodologically, the course integrates group-based research presentations, simplified experimental practice on wireless charging principles, and structured classroom discussions, fostering students' understanding of technical concepts as well as their hands-on and critical thinking skills. Evaluation results show that the reform has significantly enhanced students' learning engagement, technical mastery, innovation capacity and confidence in career development. The findings validate the effectiveness of the reform and provide reference value for similar curriculum enhancements in engineering education. Energy Vehicle Charging Systems course with the evolving needs of the new energy vehicle industry and to improve students' comprehensive competencies, this paper explores a targeted teaching reform. The study first analyzes the limitations of the existing curriculum in incorporating emerging technologies, identifying the necessity for pedagogical improvements. Based on this analysis, reform measures are implemented from two aspects: teaching content and instructional methodology. In terms of content, the course is enriched with modules on wireless charging, battery swapping technologies and the development trends of charging systems, aiming to improve its relevance and References | Related Articles | Metrics

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Analysis of Talent Demand in Intelligent and New Energy Vehicle Industry Based on Big Data LIU Jian 2025, 50(19): 138-144.  DOI: 10.16638/j.cnki.1671-7988.2025.019.026 Abstract ( )   PDF (1351KB) ( )   In recent years, with the rapid development of intelligent and new energy vehicles, related industries and industries have emerged different technologies from traditional fuel vehicles and developed rapidly, and the demand for talents related to them is increasingly strong. The "industrial talent demand big data platform" can realize the accurate matching of talent supply and demand by integrating multi-source data and applying intelligent algorithms. The paper utilizes this data platform to identify approximately 6 630 leading enterprises in China's intelligent and new energy vehicle industry chain. It analyzes the characteristics of talent demand, industry distribution, and job profiles among these enterprises. The analysis reveals that companies have varying requirements for professionals in this sector regarding educational qualifications, academic specialties, work experience, expertise, competency levels, technical skills, and knowledge domains. The talents in the automobile industry strive to find their own career development direction in the intelligent and new energy vehicle industry according to their own characteristics. References | Related Articles | Metrics

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Research and Practice on the Construction of Higher Vocational New Energy Vehicle Technology Major under the Background of the "New Double High-Level" Initiative GAO Luwei, DAI Xinlei 2025, 50(19): 145-150,108.  DOI: 10.16638/j.cnki.1671-7988.2025.019.027 Abstract ( )   PDF (1345KB) ( )   The construction of high-level majors serves as the foundation for the high-quality development of vocational education. The difficulty in constructing high-level majors lies in how to base themselves on industrial demands, rely on the development of the modern vocational education system, and cultivate high-skilled talents that meet the requirements of the new era. This paper employs the case study approach, taking the current development status of the new energy vehicle industry as its foundation and focusing on the development of the new energy vehicle technology major in Shaanxi College of Communications Technology, conducts research and practice from five aspects: implementing the fundamental task of fostering virtue through education, building a platform for the integration mechanism of industry and education, innovating the professional talent cultivation model, promoting the quality and efficiency improvement of the "five-strand hardware" construction, and constructing a new digital teaching ecosystem. Finally, it proposes a new paradigm for the construction of the Higher Vocational New Energy Vehicle Technology Major.Furthermore, by integrating the practical experience of constructing a new digital teaching ecosystem for this major, it outlines the technical ways for achieving this goal. References | Related Articles | Metrics