Automobile Applied Technology

Control Strategy for Intelligent Vehicles Based on Hybrid Logic Dynamic Model

YANG Hongyue, CHEN Huanming* , LIU Aoxiang, WANG Bowen, LIU Shenkang

2026, 51(6): 1-7,61. DOI: 10.16638/j.cnki.1671-7988.2026.006.001

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To improve the accuracy and adaptability of lateral control for intelligent vehicles under different working conditions, a hybrid model predictive control (HMPC) strategy based on the mixed logical dynamical (MLD) model is proposed. The dynamics model is established using the piecewise affine approach, integrated with a two-degree-of-freedom vehicle dynamics model, and the hybrid logic dynamic model of the system is constructed via the hybrid systems description language (HYSDEL). On this basis, an HMPC controller is designed, which transforms the tracking control problem into a mixed integer quadratic programming problem for solution. Simulations are conducted on a co-simulation platform combining MATLAB/Simulink and CarSim under doublelane-change conditions. The results show that the designed hybrid model predictive controller can stably track the reference trajectory even when the system exhibits strong nonlinearity. Especially under low-adhesion road conditions, compared with the conventional model predictive control (MPC), the HMPC strategy reduces the root mean square error of the yaw rate from 1.56 rad·s -1 to 0.88 rad·s -1 , a decrease of about 43.6%, and reduces the root mean square error of the lateral speed from 1.43 m·s -1 to 0.65 m·s -1 , a decrease of about 54.5%. The controller maintains stable tracking under strongly nonlinear conditions, effectively suppresses yaw and lateral speed fluctuations, and enhances handling stability and tracking accuracy in complex working conditions.

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Research on Object Detection Algorithm Based on Improved Faster R-CNN

QU Yating, JIA Deshun

2026, 51(6): 8-13. DOI: 10.16638/j.cnki.1671-7988.2026.006.002

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Aiming at the problem of inaccurate target recognition of autonomous vehicles in complex scenes, this paper proposes an improved target detection algorithm based on Faster R-CNN. In this paper, the residual network (ResNet-50) is used to enhance the ability of multiscale feature extraction, optimize the anchor frame size, and integrate different levels of features with the help of multi-scale convolution feature fusion, which significantly improves the adaptability of the target detection model to complex scenes. The experimental results show that the improved Faster R-CNN has better performance in the whole recall range, especially in the high recall area, it can still maintain a high mean average precision (mAP) value, showing good robustness and generalization ability, which verifies the effectiveness of the improved Faster R-CNN algorithm, and can improve the accuracy of automatic driving vehicles' target recognition in complex scenes.

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Research on the Delay Optimization of TSN Message in Vehicle Ethernet

QIAN Dachuang, LU Qingshou

2026, 51(6): 14-21. DOI: 10.16638/j.cnki.1671-7988.2026.006.003

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As a new generation of Ethernet technology, time-sensitive networking (TSN) can effectively meet the low-latency and high-rate requirements of information transmission in vehicular networks, and has attracted extensive attention from automotive network engineers. This paper establishes a TSN network simulation model for battery electric vehicles, takes the autonomous driving function as the research scenario, and uses a combination of simulation and experiment to systematically verify the effects of strict priority (SP), credit-based shaper (CBS), and time-aware shaper (TAS) algorithms on the transmission delay of time-sensitive parameters. The results show that under various load conditions, the combination of CBS and TAS can control the transmission delay of time-sensitive parameters within 100 μs, and the performance is significantly better than that without quality of service (QoS) mechanism and SP mechanism. The research provides necessary theoretical support and practical reference for the design of vehicular TSN networks.

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Buckling Analysis and Optimization of the Front Suspension Lower Control Arm Under Abuse Conditions

WANG Hui1,2,3 , JI Hao1,2,3 , CAO Ning1 , WEI Mingchang4

2026, 51(6): 22-25,30. DOI: 10.16638/j.cnki.1671-7988.2026.006.004

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To address bending fracture issues in the lower control arm under misused conditions, this study employ a virtual platform generator (VPG) to extract load data and performed nonlinear buckling analysis using finite element methods. Experimental results demonstrates that the maximum combined error between VPG-derived and measured loads is 8.8%. The lateral overbuckling limit (11 839 N) under misused conditions caused bending fracture. Through structural optimization to enhance buckling resistance, the design passes both bench tests and road tests, providing innovative approaches for designing lower control arms under misused conditions.

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Failure Analysis and Optimization Design of a Heavy Truck Powertrain Mounting System

HU Quanquan, ZHOU Huan, LIU Yongfu, HUANG Wang, CHEN Rui

2026, 51(6): 26-30. DOI: 10.16638/j.cnki.1671-7988.2026.006.005

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In response to the failure of rubber pads and delamination of rubber structures observed in road reinforcement reliability tests for a newly developed new energy heavy-duty truck powertrain mounting system, this study conducts an optimized design of the mounting system. By identifying fault locations and analyzing failure patterns, we investigated both structural characteristics of the powertrain mounting system and performance parameters of the mounting rubber pads. Based on these findings, we implemented optimization designs for both the mounting system structure and rubber pad performance. Following comprehensive road reliability testing, a feasible mounting system solution is finalized. This research provides valuable reference for the design and application of powertrain mounting systems in new energy vehicles.

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Finite Element-Based Analysis of Rattle Noise in Vehicle Instrument Panels

LU Haifeng, TANG Zhongcai, SHAO Fang, WANG Xiaosi

2026, 51(6): 31-35,69. DOI: 10.16638/j.cnki.1671-7988.2026.006.006

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The article aims to develop an early prediction method based on a finite element model to effectively identify the risk of abnormal noise in the dashboard, a key interior component, during the 3D data stage of automotive development. Firstly, a refined finite element mesh model of the dashboard is constructed based on the 3D computer-aided design (CAD) model. Secondly, the real vehicle boundary constraints and dynamic excitation loads under specific abnormal noise road spectra are applied. Thirdly, the direct frequency response method is used to calculate the relative vibration displacement response of the sensitive areas inside the dashboard under this excitation. Finally, the dynamic relative displacement amplitude is compared with the static design clearance at the corresponding position to assess the possibility of impact-induced abnormal noise. The method proposed in this article significantly shortens the development cycle of dashboard impact-induced abnormal noise and provides a digital support tool for improving the overall vehicle quality and development efficiency.

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Application of AIGC Technology in Automotive Styling Development

GAO Wencheng, WEN Zhihao, WEI Ruijie

2026, 51(6): 36-40. DOI: 10.16638/j.cnki.1671-7988.2026.006.007

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This study aims to explore the application value and development trends of artificial intelligence in the fields of automobile manufacturing and styling design, analyzing the key role it will play in the future manufacturing industry. Through research on the application of artificial intelligence generated content (AIGC), algorithm models, and intelligent analysis systems, the article this paper summarizes the multi-dimensional roles of artificial intelligence in the product development stage, including creativity generation, design validation, and process optimization. The research results indicate that artificial intelligence (AI) technology, by leveraging deep learning from big data and design trends, can provide automotive designers with high-quality creative ideas and styling inspiration, enhancing design efficiency and innovation; and reducing R&D costs and cycles. The study further concludes that the deep integration of artificial intelligence will become an important pathway to drive technological innovation and improve design quality in the automotive industry, and it holds significant strategic importance for the construction of future intelligent and digitalized design systems.

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Design and Verification of Suspension Bump Stop for Passenger Cars

WANG Yong, CHEN Wei, LI Kai, ZHANG Chen, ZHANG Xi

2026, 51(6): 41-45. DOI: 10.16638/j.cnki.1671-7988.2026.006.008

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The bump stop is a critical component in the passenger car suspension system, significantly influencing ride and handling. Starting with an analysis of the suspension elastic characteristics, this paper introduces the structure of the bump stop, its force conditions, and the decomposition of forces. From the perspective of modular development, it describes the method of designing bump stops using computational and simulation approaches. Following this method, the bump stop was designed and validated, proving the effectiveness of the design approach. The research has certain engineering practice value and provides reference ideas for related fields.

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Sliding Mode Torque Control in AMT Launch Condition for Commercial Vehicle

LIU Enliang, LIU Zitao, ZHANG Chenxi, GU Yu, LIU Wangbin

2026, 51(6): 46-50. DOI: 10.16638/j.cnki.1671-7988.2026.006.009

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This paper focuses on the starting condition of commercial vehicle automated manual transmission (AMT), and proposes a torque control method based on sliding mode theory. The method constructs a sliding mode switching function and a reaching law, so that the system state can quickly approach and finally stabilize in the neighborhood near the sliding mode surface. To solve the chattering problem of sliding mode control, the reaching law adopts a saturation function. Simulation tests are carried out under different load conditions and compared with traditional control methods to verify the control effect, and real-vehicle tests are also conducted. The results show that the proposed method has excellent control performance under vehicle starting conditions.

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Analysis and Optimization of Cracking in Metal Brackets of Electric Vehicle Underbody Guards

YANG Yong, MIN Quanzhao, ZHANG Wanxin, XU Meng

2026, 51(6): 51-55. DOI: 10.16638/j.cnki.1671-7988.2026.006.010

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For the cracking problem of the metal bracket for the underbody guard plate of an electric vehicle, an analysis is conducted on the macro morphology, micro fracture, metallography, and mechanical testing of the cracked samples. It is found that the failure mode of the bracket is typical high-cycle fatigue fracture. The impact force curve under wading conditions is collected and combined with a finite element analysis model to reproduce the stress concentration phenomenon of the original bracket design under this load. An optimized structural solution is proposed by adding reinforcing ribs and flanges. Simulation and bench mechanical test results show that the maximum stress of the optimized bracket is reduced by 12%, and the tear strength is increased by 18%. Finally, the test vehicle equipped with the optimized bracket successfully passed the complete vehicle comprehensive durability test verification without any further cracking, proving the effectiveness and reliability of this optimization solution.

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Vibration Reduction Design Method for Forklift Steering Wheel Based on Finite Element Dynamic Simulation and Experimentation

LIU Xiaojian, LU Yimin, SHEN Chongchong, CHEN Enwei*

2026, 51(6): 56-61. DOI: 10.16638/j.cnki.1671-7988.2026.006.011

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To address the excessive steering wheel vibration of a specific forklift during idle conditions, simulation and experimental analyses reveal that the proximity of the system's modal frequency to the engine's second-order ignition frequency is the primary cause of the intensified vibration. Based on the "source-path-receiver" theory and employing frequency response analysis, this study proposes an optimization scheme involving the installation of a dynamic vibration absorber on the steering column. The effectiveness of the scheme is verified through simulation, and real-vehicle test results demonstrate a 30.5% reduction in overall steering wheel vibration after optimization, effectively resolving the idle vibration issue. This research indicates that the comprehensive vibration reduction approach, which integrates modal identification with dynamic vibration absorber design, provides an effective technical pathway for the noise, vibration, and harshness (NVH) optimization of forklift-type engineering vehicles.

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Effect of Multi-Coupling Bionic Profiles on the Aerodynamic Performance and Economy of Automobiles

WU Liming, WANG Hongxia, TANG Xiujia

2026, 51(6): 62-69. DOI: 10.16638/j.cnki.1671-7988.2026.006.012

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To reduce the driving resistance of automobiles and enhance their aerodynamic performance, thereby contributing to the realization of the national "dual carbon" goals, this article based on the theory of bionic flow control, acquires multi-coupled bionic profiles from organisms with low drag characteristics and applies them to the design of vehicle shapes. Through numerical simulation, the aerodynamic characteristics of automobiles are studied, revealing the influence mechanism of multi-coupled bionic profiles on the aerodynamic drag of automobiles. Then, the economic benefits brought by the drag reduction of automobiles are calculated using the AVL-Cruise software. The research results show that after adopting multi-coupled bionic profiles, the drag coefficient of van-type trucks is reduced by 18.5%, and the fuel consumption per 100 kilometers is reduced by 0.28 L; the drag coefficient of small cars is reduced by 15.8%, and the fuel consumption per 100 kilometers is reduced by 0.14 L.

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Verification of Motor Testing System Based on High-Accuracy Real-Time Simulation Model

ZHANG Ning1 , YANG Wenbo1 , CHANG Shaoyan1 , CHENG Feng1 , DONG Delei1 , LU Bin1 , PAN Deng2 , LI Yingbo2

2026, 51(6): 70-76,129. DOI: 10.16638/j.cnki.1671-7988.2026.006.013

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To enhance the safety and efficiency of new energy vehicle motor control unit (MCU) testing and meet the high-fidelity requirements for motor operational characteristics in hardware-inthe-loop (HIL) testing, this paper proposes and constructs an MCU HIL test system based on highprecision permanent magnet synchronous motor (PMSM) simulation. The system incorporates actual motor parameter identification results into its modeling, significantly improving the accuracy of motor behavior simulation. Validation on the HIL platform demonstrates that the system simulation step size can be stably controlled within 1 μs, meeting design specifications. Multiple comparative test analyses indicate that both rotational speed simulation and torque dynamic response errors are less than 5%. Experimental results confirm that this test system exhibits high reliability and accuracy, effectively supporting the verification and evaluation of various motor controller functions.

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Research and Improvement on the Damage of the Ball Cage of the Four-Motor Test Bench Half Shaft and the Burnt-Out Problem of the Differential

SHEN Le1 , ZOU Changchao1 , WANG Tao1 , LI Jun2 , ZENG Xiangxin1

2026, 51(6): 77-82. DOI: 10.16638/j.cnki.1671-7988.2026.006.014

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To address the left half shaft cage damage and differential sintering issues during durability testing of a four-motor test bench, this paper analyzes the test bench's operational principles and key challenges. The root cause is identified as excessive left half shaft deflection due to mismatched layout between the prototype and test bench. Solutions include structural modifications to the left half shaft, optimized installation methods, and real-time vibration monitoring. Experimental results demonstrate significant reduction in vibration acceleration after modifications. Post-test disassembly confirmed the effectiveness of these improvements, providing valuable engineering references for durability testing of four-motor test bench.

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Bench Calibration and Data Processing Method for Vehicle PMSM Parameters

SHU Hang

2026, 51(6): 83-89. DOI: 10.16638/j.cnki.1671-7988.2026.006.015

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This paper presents a calibration and data processing method for permanent magnet synchronous motors (PMSM) based on engineering practice, aiming to ensure calibration data accuracy and maximize drive system performance. By leveraging the mathematical model of PMSM and vector control principles, combined with current distribution strategies for maximum torque current ratio, weak magnetic flux ratio, and maximum torque voltage ratio, a PMSM calibration method is proposed. The calibrated data undergoes fitting and interpolation processing to generate final controllable calibration parameters. The proposed method enables the derivation of torquecurrent relationships across the full speed range, and based on this, establishes flux linkage, inductance, d-axis and q-axis current relationship tables along with efficiency distribution diagrams, thereby completing motor parameter calibration. The proposed method streamlines the entire calibration process, ensures standardized procedures, and demonstrates universal applicability, enabling precise control and efficient operation of the tested motor systems.

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Design of Composite Connecting Rod Based on the Novel "Pultrusion–Self–Locking–Injection" Process

DENG Yuxian1 , DENG Yifu2 , YANG Wei1 , LIU Chuang1

2026, 51(6): 90-95. DOI: 10.16638/j.cnki.1671-7988.2026.006.016

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Against the backdrop of the growing demand for lightweight development in new energy vehicles, a diverse array of composite material components has emerged. However, existing composite connecting rods face the dual challenges of "poor reliability at connection interfaces" and "difficulties in efficient batch manufacturing." In this paper, a novel composite connecting rod is designed based on the mortise-and-tenon-inspired mechanical self-locking principle, and an efficient preparation method is proposed. The method employs reaction injection pultrusion to prefabricate continuous

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Application Research of Material Follow-Up Lifting Device from the Perspective of Human Factors Engineering

QIU Apeng, ZHANG Qiang

2026, 51(6): 96-100,135. DOI: 10.16638/j.cnki.1671-7988.2026.006.017

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To address the issues of high labor intensity, low efficiency, and high occupational health risks associated with manual parts handling in heavy-duty truck manufacturing, this paper adopts an ergonomic perspective and leverages the energy storage and release characteristics of springs. Through systematic analysis of the operation process and field experimental research, a follow-up lifting device has been designed. This device automatically adjusts its height according to material retrieval, ensuring that materials are always maintained at the optimal operating position. Practical application shows that the device significantly reduces the frequency and extent of person bending, thereby improving both operational safety and efficiency. With advantages such as low cost, no external power requirement, easy maintenance, and wide applicability, it offers a cost-effective solution for heavy physical labor material handling and holds significant practical value for promoting green production.

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Theoretical and Practical Research on the Integration of Craftsmanship Spirit into Vocational Education Automotive Professional Teaching －Taking the Course of Fundamentals of Automotive Machinery as an Example

CHEN Yan

2026, 51(6): 101-106. DOI: 10.16638/j.cnki.1671-7988.2026.006.018

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The state calls for vocational education to promote the craftsman spirit. Integrating it into teaching helps students develop a proper learning attitude, foster professional ethics, and enhance not only technical skills but also innovation, collaboration, and problem-solving abilities. The article takes the course of Fundamentals of Automotive Machinery as an example to explore the theory and practice of integrating the craftsmanship spirit into vocational education of automotive professionals. By determining the ideological and political mainline, reconstructing course content, exploring ideological and political elements, innovating teaching carriers, and optimizing evaluation systems,the craftsmanship spirit is deeply integrated with professional knowledge and skills education, achieving good results. It explores a practical path to integrate the craftsmanship spirit into professional teaching and provides certain reference value for the ideological and political construction of other courses.

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Teaching Reform and Practice of the Automotive Electrical Construction and Maintenance Course Based on the Integration of "Post, Curriculum, Competition, Certification, Ideological Education and Innovation Entrepreneurship"

DANG Chao

2026, 51(6): 107-112. DOI: 10.16638/j.cnki.1671-7988.2026.006.019

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Addressing the disconnect between teaching content and job requirements in the traditional teaching mode of Automotive Electrical Construction and Maintenance, a core course in the automotive manufacturing and testing technology major, this research conducts a teaching reform based on the integrated concept of "post, curriculum, competition, certification, ideological education and innovation entrepreneurship". The aim is to enhance teaching quality and help students develop professional skills that meet job demands. By investigating industry skill requirements and competition standards, a three-dimensional curriculum content system of "job competence-competition requirements-professional certificates" is reconstructed. An innovative progressive teaching process of "task-driven+competition simulation+certificate assessment" is designed, along with the development of supporting virtual simulation training modules. Following the teaching reform practice, the pass rate of students' practical skills assessments increased by 32%, and the number of awards received in provincial vocational skills competitions grew by 50% year-on-year. The innovation of this paper lies in deeply integrating competition standards and certificate assessment indicators into the curriculum, constructing a four-in-one teaching implementation path of "learning, training, competition, and certification", and incorporating ideological and political education as well as innovation and entrepreneurship education. This achieves a precise alignment between curriculum teaching and job requirements, effectively improving teaching outcomes and students' comprehensive abilities.

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Exploration and Research on Curriculum Ideological and Political Education Based on the PGSD Competency Analysis Model －Take the Course of the New Energy Vehicle Usage and Maintenance as an Example

HUANG Feng, GU Zhujun, FAN Tianci, PANG Shijie, LIU Yaxian

2026, 51(6): 113-117. DOI: 10.16638/j.cnki.1671-7988.2026.006.020

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Based on the PGSD competency analysis model, teaching reform and exploration of curriculum ideological and political education in the course of the new energy vehicle usage and maintenance have been carried out. With the four major capabilities of professional actions, general, social and development covered by the model as the framework, and in combination with the professional characteristics and talent demands of the new energy vehicle maintenance industry, the teaching content is reconstructed and corresponding ideological and political education goals are precisely set. By adopting diverse teaching methods, establishing a multi-faceted evaluation system, and strengthening teaching support, ideological and political elements such as craftsmanship spirit, learning awareness, professional ethics, and innovative thinking are organically integrated into the entire teaching process. Practical experience shows that this model has effectively achieved the simultaneous improvement of students' professional skills and vocational qualities. The rate of good maintenance operation levels has reached 85%, and the participation rate in classroom activities has reached 98%. It provides a new and practical approach for the ideological and political education construction of automotive courses in vocational colleges.

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Research on the Integrated Talent Cultivation Model of "Post, Curriculum, Competition, and Certification" in the New Energy Vehicle Technology Program of Higher Vocational Colleges

LI Xiaoyi, LIU Bo, CHEN Chen

2026, 51(6): 118-122. DOI: 10.16638/j.cnki.1671-7988.2026.006.021

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To address the shortage of highly competent technical and skilled talents caused by the rapid development of the new energy vehicle industry, promoting the integrated education model of "Post, Curriculum, Competition, and Certification" has become a crucial task in educational reform. This paper focuses on the prevalent issues within the new energy vehicle technology programs at higher vocational colleges, such as the disconnection between curriculum and occupational demands, the superficial integration of competitions and certifications, and insufficient synergy among the four elements. To tackle these challenges, a closed-loop talent cultivation model is proposed. The model is constructed by establishing a dynamically adaptive school-enterprise curriculum updating mechanism, a progressively graded practical training system transformed from competition standards, a certificateoriented virtual-real integrated teaching model, and a collaborative industry-education integration support system. Teaching practice demonstrates that this model effectively enhances the achievement of knowledge objectives, improves practical skills in tandem with competition performance, and significantly strengthens professional ethics and standardized operational awareness, thus providing a referential pathway for precisely aligning with industrial demands and improving the quality of talent cultivation.

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Research on the Reconstruction Path of Vocational Undergraduate Automotive Engineering Curriculum System Based on Deep AI Integration

DENG Chengxiang, LIN Shengcun* , HUANG Yijing, WANG Gengdong, WU Jinghua

2026, 51(6): 123-129. DOI: 10.16638/j.cnki.1671-7988.2026.006.022

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To address the shortage of "digital golden collar" talent brought about by the intelligent transformation of the automotive industry and to overcome the challenge of integrating artificial intelligence (AI) with professional courses in a disjointed manner of "two separate entities" in vocational undergraduate education, this study constructed a four-stage operational model of "systematic analysis-modular deconstruction-knowledge integration-system reconstruction" to systematically integrate AI knowledge into the curriculum. By deconstructing multiple traditional courses, five system-level courses, such as "Intelligent Vehicle Platform and By-wire Actuation System," are reorganized, forming a spiral pathway for capability development from mechanical cognition to intelligent system thinking, achieving a fundamental shift from knowledge transmission to the cultivation of system-level engineering thinking. Additionally, a demonstrative reconstruction of the core course Intelligent Vehicle Platform and By-wire Actuation System is completed. This research provides a reference solution for vocational undergraduate automotive programs to cope with industrial intelligent transformation.

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The Application of Immersive Technology in New Energy Vehicle Teaching at Vocational Colleges

JIANG Kaiyu

2026, 51(6): 130-135. DOI: 10.16638/j.cnki.1671-7988.2026.006.023

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Immersive technology, as an important carrier for realizing educational digitization, can effectively solve potential problems such as "electric shock risk, equipment shortage, and site layout" in the teaching of new energy vehicles in higher vocational education. It is of great significance for the teaching research and teaching reform of new energy vehicle technology courses in higher vocational education. By analyzing the key challenges and difficulties in applying immersive technology to new energy vehicle (NEV) teaching in higher vocational education, this study explores practical pathways for implementing an immersive teaching model in NEV programs. A "trinity (three-in-one)" instructional scheme is developed for the application of immersive technology in power battery fault diagnosis projects. Comparative experiments with traditional teaching methods demonstrate that this scheme effectively enhances students' learning motivation, improves the efficiency of knowledge and skill acquisition, shortens the adaptation period for workplace tasks, and significantly contributes to the cultivation of technical and skilled talents in the NEV sector.

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The Practical Application of Intelligent Commercial Vehicle Driving in Industrial Park Scenarios

GUO Jialu, TIAN Namei, WANG Yizhe

2026, 51(6): 136-141. DOI: 10.16638/j.cnki.1671-7988.2026.006.024

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In recent years, with the advancement of intelligent driving technology and the challenges faced by the transportation industry-such as driver shortages and an aging workforce-the demand for intelligent driving commercial vehicles in industrial park scenarios has been increasing year by year. To explore viable commercialization pathways for intelligent driving commercial vehicles in industrial park settings, Shaanxi Heavy Duty Automobile Company Limited has conducted extensive real-world testing and validation in scenarios represented by steel plants, carried out in-depth scenario-based practical research, and accumulated a wealth of scenario data and operational testing experience. This paper focuses on analyzing the typical working conditions and corresponding functional requirements in industrial park scenarios, examines the challenges faced in implementation from both technical and managerial perspectives, and proposes recommendations for the practical application of intelligent driving commercial vehicles in industrial parks. The findings provide valuable insights for researching the large-scale application of intelligent driving commercial vehicles in industrial parks and hold significant importance for promoting the intelligent transformation of traditional industrial logistics.

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Development and Application of a Digital Management System for Industrial Tools

ZHAO Wenchang, YANG Yongxing, SHI Xiaoliang, LI Xue

2026, 51(6): 142-146. DOI: 10.16638/j.cnki.1671-7988.2026.006.025

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In the machining industry, the production lines use a wide variety of industrial tools in large quantities with high quality requirements. Standardizing, refining, and digitalizing the management of these industrial tools is crucial for improving production efficiency and reducing costs. This paper designs and develops a industrial tools lifecycle management (TLM) system. Based on a web-distributed architecture, integrates tool control management (TCM), manufacturing execution system (MES), manufacturing data collection (MDC), and warehouse management system (WMS). It covers the entire life cycle of tools, including procurement, assembly, out-put and in-put of warehouse, machine mounting, sharpening, repair, and disposal. The system also features complete set checking, centralized delivery, real-time monitoring of cutting parameters, life warning, and centralized replacement. It achieves a 100% tool preparation rate, reduces tool change downtime by about 40%, ensures 100% traceability of abnormal tools, triples the life of bottleneck tools, and increases overall production line efficiency by approximately 10%. The system has been stably running on the machining production line of a certain transmission company and provides a replicable and promotable model for manufacturing enterprises to achieve refined, transparent, and standardized tool management.

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