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主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

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    New Energy Vehicle
    Estimation of Vehicle Mass for Distributed Drive Electric Vehicles
    FENG Yingxia1 , LI Kai1 , LI Huiling1 , LU Guo1 , ZHENG Run1 , HAN Yinfeng2* , LENG Bo3
    2025, 50(23): 1-8,19.  DOI: 10.16638/j.cnki.1671-7988.2025.023.001
    Abstract ( )   PDF (1131KB) ( )  
    The total vehicle mass is a critical parameter in vehicle dynamics modeling and control system design, directly influencing the dynamic performance, energy efficiency, and safety control capabilities of electric vehicles. In distributed-drive electric vehicles, due to the rapid response and precise torque regulation of electric drive systems, the impact of total vehicle mass on control accuracy is particularly pronounced. However, vehicles frequently encounter complex operating conditions such as variable payloads during operation. Fixed-mass assumptions can easily lead to model mismatch, thereby compromising the stability and robustness of control systems. To enhance model adaptability and estimation accuracy, this study develops an adaptive Kalman filter to achieve robust vehicle speed estimation, thereby providing reliable speed reference information for mass estimation. Subsequently, based on the vehicle longitudinal dynamics model, an online vehicle mass estimation method is constructed using a recursive least squares (RLS) algorithm with a forgetting factor. By approximating resistance terms, this method reduces dependence on unmeasurable parameters and improves practical feasibility. Simulation results demonstrate that the proposed method achieves high-precision, rapidly convergent mass estimation under typical acceleration scenarios, providing theoretical support for optimizing control strategies in distributed-drive systems.
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    Research on the Development and Verification Platform of Automotive Thermal Management Control Strategy
    LIU Shuqi1 , TANG Xue2 , WANG Wei3 , WANG Yuan1*
    2025, 50(23): 9-14.  DOI: 10.16638/j.cnki.1671-7988.2025.023.002
    Abstract ( )   PDF (1072KB) ( )  
    Aiming at the development needs of intelligent and integrated automotive thermal management system, this paper proposes a vehicle thermal management test platform based on hardware-in-the-loop (HIL) and rapid control prototyping (RCP). The platform integrates physical components, real-time control system and control strategy model to realize component selection, function verification, strategy optimization and system-level real-time testing. The effectiveness of the platform in improving R&D efficiency and test reliability is verified by simulating actual working conditions in an environmental laboratory. The results show that the method can provide an efficient and reliable means of verification for the development of intelligent thermal management systems.
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    Response Speed Optimization of Motor Measurement and Control System Based on CANopen Protocol
    CHEN Zhanglei, JIANG Kejun* , YONG Zhe, HU Yixin
    2025, 50(23): 15-19.  DOI: 10.16638/j.cnki.1671-7988.2025.023.003
    Abstract ( )   PDF (720KB) ( )  
    Research is conducted on how to enhance the response speed of motor measurement and control systems based on the controller area network (CAN) bus and the CANopen protocol in this paper. Programs are designed using the programmable logic controller (PLC) programming software Codesys, and an analysis is performed on the core elements of the CANopen protocol, including the device model, communication interface, object dictionary, and process data objects (PDO) configuration. Experiments are conducted to adjust the transmission period of PDO, which results in a reduction of inter-frame interval time, thereby improving the system's response speed. The results show that the method can effectively improve the response speed of the system and has guiding significance in the field of industrial automation.
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    Design and Simulation of Liquid Cooled Thermal Management System for Hybrid Electric Vehicle Power Battery
    LU Zhanghao1,2
    2025, 50(23): 20-24.  DOI: 10.16638/j.cnki.1671-7988.2025.023.004
    Abstract ( )   PDF (2390KB) ( )  
    This paper designs and simulates the thermal management system of the power battery for a certain plug-in hybrid electric vehicle. The liquid cooling plate and cooling channels are designed around the ternary lithium battery pack, and a 50% ethylene glycol water solution is selected as the coolant. A thermal model is established to analyze the thermal characteristics of the battery pack, and the boundary conditions and meshing scheme are determined. Through simulation analysis, the structure is improved, and a liquid cooling thermal management system with double cooling channels and the inlet and outlet on the same side, with a coolant flow rate of 0.14 m/s is designed. At this time, the maximum temperature of the battery pack in the liquid cooling thermal management system is 29.83 ℃, and the temperature difference is 3.53 ℃, which is 5.36% lower than the maximum temperature before the overall system improvement and 39.35% lower than the temperature difference. The cooling effect is relatively good. This scheme can provide a certain reference for the design of the liquid cooling thermal management system of power batteries.
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    Simulation and Analysis Method of Lithium Battery Charging Duration Based on Parameter Coordination
    TANG Xue1,2 , LI Zhizhou1 , LIU Shuqi1 , WANG Yuan1 , XU Junfang1
    2025, 50(23): 25-29.  DOI: 10.16638/j.cnki.1671-7988.2025.023.005
    Abstract ( )   PDF (869KB) ( )  
    As the penetration rate of China's new energy vehicle market rises significantly in 2025, the demand for fast-charging technology surges, yet insufficient charging simulation accuracy becomes a core bottleneck restricting thermal management optimization and charging strategy design. This study proposes a parameter coordination optimization strategy that dynamically calibrates the entropy heat coefficient and the temperature dependence of variable-temperature specific heat capacity based on open-circuit voltage (OCV) parameters, aiming to solve the error accumulation problem in lithium-ion battery fast-charging simulation under high and low temperature environments. Through experimental testing and calculation, the modified model after parameter optimization shows high consistency between its temperature rise variation and the temperature rise in vehicle testing; the simulation error of lithium-ion battery fast-charging duration decreases from 5.32% to 1.95% under high temperature, and from 4.32% to 0.25% under low temperature.
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    Study on Efficiency Optimization Methods for CFD Simulation of Liquid Cooling Corrugated Tubes in New Energy Battery Packs
    ZHAO Shuaishuai
    2025, 50(23): 30-34.  DOI: 10.16638/j.cnki.1671-7988.2025.023.006
    Abstract ( )   PDF (1119KB) ( )  
    The aim of this study is to address the industry pain points of long simulation cycles and high hardware costs in the development of battery packs liquid cooling systems for industries such as new energy vehicles, energy storage industry, and special vehicles. A simplified method of computational fluid dynamics (CFD) simulation based on equivalent roughness is proposed. A threedimensional corrugated tube model with double right-angle elbows is established, and the pressure drop characteristics under different flow velocities are analyzed using the shear-stress transport (SST) k-ω turbulence model. With an inlet velocity of 1.5 m/s as the calibration benchmark, the accuracy of equivalent simplification methods is evaluated within the velocity range of 0.5 m/s to 2.5 m/s. The results demonstrate that the global equivalence method exhibits a maximum deviation of 15.47%, while the zonal calibration method with 5 characteristic regions and gradient roughness parameters achieves a maximum error of 7.18%. The simplified equivalent smooth tube model reduces mesh count from 1.116×107 to 1.58×105 , significantly decreasing computational load and improving simulation speed, providing an effective solution for large-scale liquid cooling system simulations.
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    Performance Study of Variable Cross-Section Flow Channel Cathode Configuration for Air-Cooled PEMFC
    JIA Yankui, LI Hao, WANG Yao, JANG Yu
    2025, 50(23): 35-41.  DOI: 10.16638/j.cnki.1671-7988.2025.023.007
    Abstract ( )   PDF (5053KB) ( )  
    Air-cooled proton exchange membrane fuel cells (PEMFC) have the advantages of simple and compact structure and low energy consumption. Only the hydrogen supply system and the fan are retained, which respectively provide hydrogen and air for the stack. Based on the problem of poor gas diffusion performance under the ridge in the traditional straight channel, two types of variable cross-section channels, namely the step channel and the side wall constricted channel, are proposed for air-cooled PEMFC, and compared with the traditional straight channel. The effects of the variable cross-section cathode channel on output performance, gas transport in the membrane electrode, water removal, pressure drop and cooling capacity are systematically studied. The results show that the power density of the step flow channel and the side wall constricted flow channel is increased by 6.4% and 7.8% respectively compared with the straight flow channel. The average temperature is reduced by 7.4% and 7.3% respectively compared with the straight flow channel.
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    Design Optimization of the Standard Pack Structure for Light Trucks
    SHAN Chunya, WANG Penghui, BAO Feihu, GE Han
    2025, 50(23): 42-46,51.  DOI: 10.16638/j.cnki.1671-7988.2025.023.008
    Abstract ( )   PDF (4077KB) ( )  
    A standard pack of a light truck is failed after strength design verification (DV) test, with cracks of welds and profile base metal is found at the connection between the beam of internal module installation and the frame. Due to the limited internal space, the positions of the module and the battery management system (BMS) cannot be moved, and this problem needs to be solved under the current layout. This study experimentally investigates the impact of densely distributed welds on vibration-induced failures. Through a multi-scheme comparative analysis integrated with finite element simulation, three connection reconfiguration approaches are evaluated: scheme A: bracket-free, scheme B: welded-bolted hybrid, and scheme C, full bolted connection. The results demonstrate that replacing welds with bolted connections significantly mitigates stress concentration effects. The optimized design is rigorously validated via triaxial vibration bench testing, successfully passing vibration tests at twice the national standard requirements. It provides a solution for the compact structure design of high energy density battery pack.
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    Intelligent Connected Vehicle
    Dual-Branch Lane Detection Method Based on ResNet
    WANG Kangyun1 , WANG Chengbiao2 , CHEN Xingtong3*
    2025, 50(23): 47-51.  DOI: 10.16638/j.cnki.1671-7988.2025.023.009
    Abstract ( )   PDF (1443KB) ( )  
    With the rapid development of autonomous driving technology, lane detection, as a core function of advanced driver assistance systems (ADAS), has a direct impact on driving safety through its accuracy and robustness. To address the limitations of traditional methods that rely on manual feature extraction and the insufficient performance of existing deep learning models in complex scenarios, this paper proposes an improved dual-branch lane detection method based on ResNet-18. The method transforms lane detection into an instance segmentation task by designing a collaborative operation between the auxiliary branch and the main branch, while introducing a compound loss function to optimize model performance. Experimental results demonstrate that the improved model exhibits superior adaptability in complex environments, effectively addressing challenges such as vehicle occlusion and illumination variations. This work provides a novel solution for lane detection in challenging real-world scenarios.
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    Distributed Drive Control Base on Driving Style and Curve Scenarios
    HUANG Xinzhi, LIU Xuewu, DENG Yunfei, XIONG Jie, YIN Yanfei
    2025, 50(23): 52-58,72.  DOI: 10.16638/j.cnki.1671-7988.2025.023.010
    Abstract ( )   PDF (1795KB) ( )  
    Distributed drive control utilizes additional yaw moments generated by left and right wheels to modify vehicle handling characteristics. To achieve more personalized driving experiences and enhance maneuvering stability in cornering scenarios, this study designs a driver-style and cornering scenario-based distributed drive control strategy. The strategy implements differentiated torque allocation by identifying varying levels of aggressive driving styles and different phases of corner entry/exit. Simulation results demonstrate that the proposed control strategy can personalize driving characteristics, adapt to diverse driving styles, and effectively improve maneuvering stability in curves. The paper proposes an intelligent control method for electric vehicles, demonstrating strong practicality and industrial applicability.
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    Analysis of Safety Benefits and Applicability of Fuzzy Lane-Changing Model for Intelligent Vehicles
    LI Taifeng1 , XIONG Chang'an2*
    2025, 50(23): 59-64.  DOI: 10.16638/j.cnki.1671-7988.2025.023.011
    Abstract ( )   PDF (1353KB) ( )  
    To study the feasibility of intelligent vehicle lane-changing on two-way four-lane highways and verify the rationality and safety benefits of lane-changing rules, this paper takes intelligent vehicles as the research object, analyzes the elements affecting intelligent vehicle lane-changing, defines the headway between lane-changing vehicles and front and rear vehicles in the target lane, the speed difference between the lane-changing vehicles and the front and rear vehicles in the present lane as the input variables, and the possibility of lane-changing and the risk of lane-changing as the output variables, and stipulates that vehicles can make a lane change when the risk of switching to the target lane is less than 0.5 when the vehicle can change lanes, builds the fuzzy lane-changing model for intelligent vehicles and conducts multi-case simulation test based on MATLAB to analyze the rationality of lane-changing rules and the safety and benefits of lane-changing behavior. The results show that: 1) When the front and rear inter-vehicle distance theories of the vehicle and the target lane and this lane are (-400, 400) and (0, 200) respectively, and the speed difference theories are (-1, 1), and the output is less than 0.5, the safety can be ensured when the intelligent vehicle carries out the lane-changing. 2) The fuzzy lane changing model of intelligent vehicles can basically carry out lane changing under the premise of ensuring safety and bring positive benefits to the traffic flow; when the density of traffic is large, it is not recommended for vehicles to carry out lane changing behavior
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    Coordinated Control of Yaw and Roll Stability of Distributed Drive Multi-Axle Vehicles
    ZHANG Zhiyuan
    2025, 50(23): 65-72.  DOI: 10.16638/j.cnki.1671-7988.2025.023.012
    Abstract ( )   PDF (2093KB) ( )  
    In order to maximize the roll stability and yaw stability of light multi-axle vehicles at high speeds, a coordinated control system of active suspension roll-moment control (ARC) and direct yaw-moment control (DYC) is designed based on the multi-layer coordinated closed-loop control strategy of an eight-wheel electrically drive unmanned light special vehicle. Firstly, taking the body roll angle and yaw angular velocity of the vehicle as the control objectives, the active suspension roll controller and the direct yaw moment controller are designed. Then, a rule-based coordinated controller is designed to reasonably allocate the working interval of each subcontroller. Finally, the AMESim/TruckSim/Simulink co-simulation platform is built to simulate and verify the designed coordinated control system. The simulation results show that the designed coordinated control system achieves the control goal of improving the high speed roll and yaw performance of multi-axle vehicles.
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    Design and Research
    Study on Progressive Optimization of Whiplash Protection Performance in Vehicle Front Seats
    LI Shifeng, XU Li, ZHANG Xinhua, TU Qichuan, WU Jianlin, YING Guan
    2025, 50(23): 73-78.  DOI: 10.16638/j.cnki.1671-7988.2025.023.013
    Abstract ( )   PDF (1146KB) ( )  
    Aiming at the insufficient initial performance of the front seats of a certain vehicle model in the whiplash test of the 2024 version of the China New Car Assessment Program (C-NCAP), this study proposes a data-driven progressive optimization method based on the whiplash injury mechanism and the key path analysis of "geometry–stiffness–interaction". Through a three-stage iterative design of "geometric parameter optimization–backrest stiffness reconstruction-composite structure collaboration (introduction of expanded polypropylene energy-absorbing structure)", the system regulates the head restraint backset, backrest stiffness distribution and the matching of energy-absorbing structures. Physical test results show that the total score of seat whiplash performance increases from 1.85 to 4.48, the upper neck bending moment decreases from 41.64 Nm to 8.31 Nm, and the neck injury criterion (NIC) as well as other key load indicators are significantly improved. The study verifies the effectiveness of the systems engineering method of "mechanism guidance–path collaboration–test verification", and provides a technically practical reference path for the optimization of automotive seat whiplash protection performance.
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    Selection and Design Method of Electronic Hydraulic Braking System for a Certain Off-Road Vehicle
    DENG Jinzhi, WANG Yanze, WANG Fei, YANG Jie, LIU Weijian
    2025, 50(23): 79-83.  DOI: 10.16638/j.cnki.1671-7988.2025.023.014
    Abstract ( )   PDF (1124KB) ( )  
    To address the issue that the existing electronic hydraulic braking (EHB) system has limited functional expandability and can't be extended to three-axle off-road vehicle with larger load capacity. By selecting and calculating the key parameters such as the system pressure of a certain off-road vehicle's EHB system in this paper, the working volume of the accumulator, and the diameter of the brake cylinder, the EHB system of this vehicle is designed and matched. This system achieves adjustable braking force for each wheel end of the vehicle and features a reliable dual-loop safety redundancy design. It can regulate the system pressure during the braking process, not only shortening the braking response time but also having good scalability, and can meet the braking requirements of off-road vehicle with larger load capacity. After conducting real vehicle tests on this system, all the performance indicators of the braking system meets the requirements of domestic and international regulations.
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    Research on Intelligent Negative Pressure Sterilization Device in Automobile Cabin
    CHEN Jingyuan1 , CHEN Yulin2 , XIE Jinshan1 , CHEN Lujin1
    2025, 50(23): 84-89,95.  DOI: 10.16638/j.cnki.1671-7988.2025.023.015
    Abstract ( )   PDF (1179KB) ( )  
    To address the serious issue of in-vehicle air pollution in the context of China's 336 million registered vehicles, as well as safety risks posed by passengers with respiratory infectious diseases, and to overcome inefficiencies in existing disinfection technologies, this paper proposes a novel engine air intake combustion sterilization electronic control negative pressure device featuring four key modules. Through an electronic control system, this device can extract air from the vehicle cabin whether the engine is running or off, and sterilize it by heating it to a high temperature of 80 ℃ using either the heat from engine combustion or a heating wire, while simultaneously maintaining negative pressure in the cabin to draw in fresh air from outside. In its structure, the check valve inside the air storage tank prevents engine backfire, ensuring cabin safety. This enables the maintenance of negative cabin pressure and efficient sterilization under all operating conditions. Experimental tests have verified the device's high sterilization efficiency and reliable negative pressure control. Compared to existing technologies, this device utilizes electronic control, thus saving installation space and resolving issues of incomplete and unsafe sterilization. It is a win-win solution capable of providing effective sterilization and disinfection while meeting mass consumer affordability.
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    Testing and Experiment
    Failure Analysis and Structural Optimization of Leaf Spring Seat of a Commercial Vehicle
    LI Ang, QU Jiwei* , QIU Zhinuo
    2025, 50(23): 90-95.  DOI: 10.16638/j.cnki.1671-7988.2025.023.016
    Abstract ( )   PDF (2365KB) ( )  
    Aiming at the fracture failure of a commercial vehicle leaf spring mount under reinforced road conditions, a dynamic failure analysis method based on multi-axis load coupling and a structural optimization strategy are proposed. By analyzing its force situation, the relationship between the yield criterion and plastic strain is used as the core fatigue failure criterion. The dynamic response mechanism of the leaf spring mount under full freedom and the insufficient bearing capacity of the reinforcement are revealed through the combined simulation using HyperMesh and LS-Dyna. A parametric geometric optimization method is adopted to optimize the structure step by step, with the thickness of the reinforcement as the variable, incremented by 0.5 mm at each step. The optimized design, with only a 0.75% increase in weight, enables the leaf spring clamp to be in a pure elastic deformation stage under reinforced road conditions, effectively enhancing the structure's resistance to plastic deformation. This can provide a reference for the design optimization of the leaf spring clamp.
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    Analysis and Optimization of Abnormal Water Flow Noise Problem in Automotive Heat Exchangers
    ZHONG Xiaolin1 , JIANG Darong2
    2025, 50(23): 96-99113.  DOI: 10.16638/j.cnki.1671-7988.2025.023.017
    Abstract ( )   PDF (1579KB) ( )  
    Regarding the abnormal water flow noise problem in an automobile heat exchanger, simulation experiments and other methods are used for cause analysis. Through vehicle bench tests, it is concluded based on theory and experiments that the coolant in the thermal cooling system is locally heated to generate a large number of bubbles. These bubbles enter the heat exchanger through the pipeline, causing abnormal noise in the vehicle. Finally, improvement measures are formulated according to the "source–path–response" noise, vibration, harshness (NVH) control method, and the effectiveness of this method is verified through comparative tests. The research results show that changing the position of the inlet pipe of the heat exchanger and adding a connecting pipe at the top of the thermostat base of the cooling system can discharge the bubbles in the system, which not only ensures the air conditioning heating performance but also solves the problem of water flow noise.
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    Research on Vertical Obstacle Clearance and Horizontal Trench Crossing Capabilities of a 4×4 Vehicle Model
    WANG Yongfeng, LI Wenfeng, FU Cai, WU Shujuan
    2025, 50(23): 100-103.  DOI: 10.16638/j.cnki.1671-7988.2025.023.018
    Abstract ( )   PDF (1612KB) ( )  
    Obstacle crossing performance is one of the important evaluation indicators for off-road vehicle passability. Test Methods For Vehicle Passeability (GB/T 12541–2023) specifies the test items, conditions, and facility characteristics related to vehicle passability, and provides requirements and recommendations for test items for various vehicle types. This article takes the 4×4 vehicle model as the object, and studies the two parameters of vertical obstacle crossing height and horizontal trench in terrain passability, except for the failure caused by the vehicle not encountering obstacles at the bottom and insufficient adhesion. Theoretical calculation formulas are obtained, and the feasibility of the theoretical calculation formulas is experimentally verified by combining the actual situation of the vehicle. At the same time, based on experimental verification, a simple analysis is conducted on the setting of parameters for vertical obstacle height and horizontal trench width, providing ideas and methods for the design of subsequent vehicle models.
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    Process·Materials
    Research on Erosion Resistance of Flight Vehicle Propellers Based on Groove Microstructures
    QU Honghao, GE Shuwei, HU Botao, WU Mingtao, WANG Heng, DI Juan*
    2025, 50(23): 104-108.  DOI: 10.16638/j.cnki.1671-7988.2025.023.019
    Abstract ( )   PDF (1677KB) ( )  
    To address the surface erosion problem caused by raindrop impact during the high-speed rotation of flight vehicle propellers, this paper proposes a propeller protection strategy based on the microstructure of rectangular array grooves at the hundred-micron level. By simulating the erosion environment through ultrasonic cavitation experiments, the mass change of the samples is recorded using the weight loss method, and the Logistic growth curve is introduced to deeply explore the relationship between the cumulative weight loss due to erosion and time. This study explores the influence of the groove microstructure on the erosion resistance of the polyurethane coating of the propeller. The experimental results show that the designed groove microstructure (width to spacing ratio of 2) can significantly reduce mass loss, with the cumulative mass loss of the groove sample being 21.82 mg, approximately 48% of that of the smooth sample. At the same time, the nominal incubation period, acceleration period, and attenuation period of material erosion are clarified. The groove microstructure can significantly extend the incubation period of material erosion, with the nominal incubation period of the groove sample reaching 16.86 h, approximately 2.8 times that of the smooth sample, thus demonstrating excellent erosion resistance. This research can provide a theoretical basis for the anti-erosion protection of the surface of flight vehicle propellers.
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    Study and Application of Anti-Corrosion Performance of Commercial Vehicles
    ZHANG Tingting, ZHU Yangzhi, ZHANG Yiyi, WEI Pengkang, CHEN Jun, HUANG Li
    2025, 50(23): 109-113.  DOI: 10.16638/j.cnki.1671-7988.2025.023.020
    Abstract ( )   PDF (1289KB) ( )  
    Although all assemblies of current commercial vehicle chassis are designed with anticorrosion and weather resistance, different degrees of rust still occur during pre-sales storage or after about one year of use, commonly on frames, leaf springs, chassis mounting brackets and other parts, which seriously affects the safety, reliability, service life and appearance of the whole vehicle. To improve the anti-corrosion performance of the chassis, this paper analyzes the current situation and causes of its rusting, summarizes effective anti-corrosion rectification measures based on a 18 t platform 4×2 pure electric road sweeper project, expounds the anti-corrosion schemes for key chassis assemblies and the methods to improve anti-corrosion performance from the perspective of vehicle design, and provides a reference for the research on anti-corrosion performance of commercial vehicles.
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    Automobile Education
    Research on Integrating the Spirit of the 20th National Congress of the Communist Party of China into Curriculum Ideological and Political Education in Vehicle Electronic Control
    DENG Xiaoting
    2025, 50(23): 114-119130.  DOI: 10.16638/j.cnki.1671-7988.2025.023.021
    Abstract ( )   PDF (1321KB) ( )  
    Integrating curriculum ideological and political education into the classroom is a current trend in the curriculum reform of colleges and universities. Fully implementing the Party's education policy and incorporating the spirit of the 20th national congress of the communist Party of China into curriculum ideological and political education is of great significance for achieving the overall goal of fostering virtue and nurturing talent, ensuring the socialist orientation of running schools, and realizing the great rejuvenation of the Chinese nation. This article takes the Vehicle Electronic Control course as an example to explore the integration of the spirit of 20th national congress of the communist Party of China into classroom teaching. It discusses aspects such as course analysis, educational goals, ideological and political education exploration of the spirit of 20th national congress of the communist Party of China, ways of integrating curriculum ideological and political education, and organization of the teaching process, forming a teaching model of integrating curriculum ideological and political education into the classroom. The teaching reform effect of curriculum ideological and political education is analyzed through the learning process of students, so as to implement the goal of ideological and political education.
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    OBE Concept-Driven Precision Teaching Practice in Short-Class-Hour Engineering Drawing for Automotive Majors
    MA Yujie
    2025, 50(23): 120-123144.  DOI: 10.16638/j.cnki.1671-7988.2025.023.022
    Abstract ( )   PDF (1219KB) ( )  
    Faced with core issues such as compressed class hours (32 hours), weak spatial thinking foundation of students, and the disconnection between traditional assessment and professional application in the teaching of Automotive Engineering Drawing courses for specialties like automotive service engineering and new energy vehicles, this article takes the outcome-based education (OBE) concept as the core driving force to construct a precise teaching reform path focusing on the cultivation of "automotive technology application capabilities". By reconstructing a three-level progressive course system of "foundation–professional–comprehensive", developing a "smart diagnosis+precise push" digital learning system, and implementing a "process-professional" two-dimensional assessment mechanism, it achieves precise alignment of teaching content with automotive engineering practice, personalized and efficient empowerment of the learning process, and a scientific and diverse evaluation system. Practice shows that after the reform, students' comprehensive scores increased from 69.3 to 78.5, a rise of 13.3%. The scores of core abilities such as spatial thinking, professional automotive drawing and reading skills, and computer-aided design (CAD) practical skills increased by 19%, 20%, and 7% respectively. Students' acceptance of teaching content, digital resources, and assessment methods rose by 19%, 24%, and 21% respectively. This model effectively breaks the bottleneck of cultivating students' automotive drawing literacy under short class hours, significantly enhancing their core drawing practical abilities in the automotive engineering field, and provides a valuable reference for the reform of short-class-hour drawing courses in automotive-related specialties.
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    Research on the Cultivation of Innovative and Entrepreneurial Abilities in Higher Vocational College Students Based on the "Subject Competitions+ Scientific Research Training" Dual-Driven Model -Taking the New Energy Vehicle Major as an Example
    LIU Qiongqiong
    2025, 50(23): 124-130.  DOI: 10.16638/j.cnki.1671-7988.2025.023.023
    Abstract ( )   PDF (1280KB) ( )  
    Based on the problems of disconnection between theory and practice and the weakness in cultivating innovation and entrepreneurship abilities in talent training in higher vocational institutions, and following the guiding principle of "deep integration of professional education and innovation and entrepreneurship education", this paper proposes a new talent training model driven by the dual cores of "academic competitions" and "research training". Using the new energy vehicle major as a practical case, the study aims to explore an effective value-added path to enhance students' professional skills and innovation and entrepreneurship abilities. The results show that this model significantly stimulates students' learning initiative and innovation potential, and substantively improves their comprehensive abilities in solving complex problems and teamwork.
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    Standards·Regulations·Management
    Discussion on the Design Change Process in the Automotive Industry -Operation Strategy of Multidimensional Evaluation Model
    JI Lili
    2025, 50(23): 131-137.  DOI: 10.16638/j.cnki.1671-7988.2025.023.024
    Abstract ( )   PDF (1267KB) ( )  
    Against the backdrop of steady upgrading of the global automotive industry, design change management is upgrading from an auxiliary function to a strategic dimension of core competitiveness for enterprises. This article focuses on the technological evolution path and systematic innovation of design change management in the automotive industry, and proposes a solution framework empowered by the collaboration of digital twins and artificial intelligence.Research has revealed that traditional management models have significant efficiency bottlenecks in responding to high-frequency change demands, while a dynamic balance mechanism based on the "cost-cycle-quality" ternary control model can systematically optimize the resource allocation capability of the entire value chain. By deconstructing multidimensional driving factors such as technological iteration, regulatory upgrades, and supply chain resilience, combined with typical cases in the aerospace and automotive industries, this paper elucidates the breakthrough value of digital twin technology in real-time simulation verification and multi physics coupling optimization, as well as the core role of artificial intelligence in change impact prediction and decision-making closed-loop. To address industry pain points, propose cross platform knowledge accumulation and multidimensional quantitative evaluation strategies, and explore the enhancement effect of intelligent management paradigm on agile response capability and sustainable competitiveness. This study provides theoretical support for the automotive industry to establish a new management system for technology-organization co-evolution in volatile, uncertain, complex, and ambiguous (VUCA) environment, pointing to practical directions for driving the leap of "new qualitative productivity" through digital intelligence integration.
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    AIGC-Driven Digital Process Reconstruction and Methodological Practice in Automotive Styling Design
    LI Haiou
    2025, 50(23): 138-144.  DOI: 10.16638/j.cnki.1671-7988.2025.023.025
    Abstract ( )   PDF (8972KB) ( )  
    With the rapid development of artificial intelligence technology, the field of automotive styling design is undergoing a profound digital transformation. This article systematically explores the application scenarios, key technologies and future trends of artificial intelligence technology in the digital-assisted design of the entire automotive styling process. Research shows that artificial intelligence generated content (AIGC) can significantly enhance the efficiency and innovation of automotive styling design, achieving full-process intelligent empowerment from concept creation to engineering implementation. Meanwhile, this article also analyzes the current challenges and looks forward to the future technological development direction, providing theoretical references and practical guidance for the intelligent transformation of the automotive design field.
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