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2024 SAE Intelligent and Connected Vehicles Symposium, ICVS 2024

作者： Wei, Changyin Wei, Yiyu Yang, Dinghao Wang, Yichen Liu, Dezheng Hubei Key Laboratory of Power System Design and Test for Ele China

The computational efficiency of dynamic programming (DP) energy management strategies is enhanced through the discretization of state variables in this study. The upper and lower bounds of SOC (State of Charge) and the SOC variation at each moment are calculated using the maximum and minimum power of the range extender, which eliminates invalid state combinations and significantly reduces the size of the feasible state set. To investigate the impact of different sampling intervals on SOC during various phases, intervals at 1s, 2s, 4s, 5s, and 10s are set for both charge retention and consumption phases. It is revealed that in the consumption phase, different sampling intervals minimally affect SOC, with trajectories closely matching. However, in the charge retention phase, the impact of different sampling intervals on SOC is significant, resulting in considerable differences in SOC trajectories. Additionally, in the charging-discharging (CD) phase, fuel consumption significantly varies with sampling intervals, decreasing as the interval increases. In contrast, during the charge storage (CS) phase, minor differences in fuel consumption are observed due to the larger power of the range extender. The DP computation time in the CD phase is substantially less than in the CS phase, primarily because the feasible domain in the CD phase is smaller. As sampling intervals decrease, computation time increases exponentially, characteristic of the DP algorithm. Sampling intervals are recommended to be increased in practical applications to balance computational accuracy and efficiency. This research provides an efficient computational approach for DP energy management strategies and uncovers the impact patterns of sampling intervals on SOC stability and fuel consumption, offering theoretical and practical guidance for the design of energy management strategies. © 2024 SAE International.

关键词： Fuel storage

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Review of Tobacco Leaf Maturity Discrimination Algorithms Using Machine Vision

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Journal of Engineering Science and Technology Review 2025年第1期18卷 27-38页

作者： Yang, Dongyue Zou, Mei Zhang, Hua Wang, Ruijuan Tao, and Baoquan Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang441053 China

As a key factor influencing the quality of tobacco production and a crucial indicator for assessing tobacco leaf quality, the recognition of tobacco leaf maturity has garnered significant attention from scholars. Integrating and advancing machine vision technologies in the discrimination of tobacco leaf maturity have made it feasible to apply machine vision in fully automated tobacco leaf harvesting processes. In this review, a comprehensive survey of the latest advancements on machine vision based algorithms for tobacco leaf maturity discrimination was presented, with a particular focus on feature engineering and classification algorithms. In terms of feature engineering, various image feature extraction techniques, analytical methods, and multi-feature fusion strategies for assessing tobacco leaf maturity were explored. These strategies included color and texture analysis, multispectral feature utilization, and advanced methods such as principal component analysis and information fusion. And a detailed discussion of the classification algorithms, spanning statistical recognition, machine learning and deep learning approaches was provided. By analyzing and comparing these existing methods, the study offered valuable insights into the advantages and limitations of various tobacco leaf maturity discrimination techniques. Results show that the accuracy of tobacco leaf maturity recognition using machine vision has reached an impressive 99.9%, establishing a significant milestone with clear practical application potential. Among the technologies applied, deep learning methods exhibit an absolute advantage, significantly outperforming traditional approaches in both feature engineering and classification methodologies. This comprehensive analysis summarizes current knowledge and points the way for future technological improvements and innovations. © (2025), (International Hellenic University School of Science and Technology). All rights reserved.

关键词： Machine vision

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Improved vision-only localization method for mobile robots in indoor environments

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Autonomous Intelligent systems 2024年第1期4卷 153-165页

作者： Gang Huang Liangzhu Lu Yifan Zhang Gangfu Cao Zhe Zhou School of Automobile and Traffic Engineering Wuhan University of Science and TechnologyWuhan 430081China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053China

To solve the problem of mobile robots needing to adjust their pose for accurate operation after reaching the target point in the indoor environment,a localization method based on scene modeling and recognition has been ***,the offline scene model is created by both handcrafted feature and semantic ***,the scene recognition and location calculation are performed online based on the offline scene *** improve the accuracy of recognition and location calculation,this paper proposes a method that integrates both semantic features matching and handcrafted features *** on the results of scene recognition,the accurate location is obtained through metric calculation with 3D *** experimental results show that the accuracy of scene recognition is over 90%,and the average localization error is less than 1 *** results demonstrate that the localization has a better performance after using the proposed improved method.

关键词： Deep learning Mobile robot Scene recognition Visual localization

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Physics-based battery SOC estimation methods:Recent advances and future perspectives

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Journal of Energy Chemistry 2024年第2期89卷 27-40,I0003页

作者： Longxing Wu Zhiqiang Lyu Zebo Huang Chao Zhang Changyin Wei College of Mechanical Engineering Anhui Science and Technology UniversityChuzhou 233100AnhuiChina Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053HubeiChina School of Internet Anhui UniversityHefei 230039AnhuiChina School of Mechanical and Electrical Engineering Guilin University of Electronic TechnologyGuilin 541004GuangxiChina

The reliable prediction of state of charge(SOC)is one of the vital functions of advanced battery management system(BMS),which has great significance towards safe operation of electric *** far,the empirical model-based and data-driven-based SOC estimation methods of lithium-ion batteries have been comprehensively discussed and reviewed in various ***,few reviews involving SOC estimation focused on electrochemical mechanism,which gives physical explanations to SOC and becomes most attractive candidate for advanced *** this reason,this paper comprehensively surveys on physics-based SOC algorithms applied in advanced ***,the research progresses of physical SOC estimation methods for lithium-ion batteries are thoroughly discussed and corresponding evaluation criteria are carefully ***,future perspectives of the current researches on physics-based battery SOC estimation are *** insights stated in this paper are expected to catalyze the development and application of the physics-based advanced BMS algorithms.

关键词： Lithium-ion batteries State of charge electrochemical model Battery management system

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Improvement of Binocular Reconstruction Algorithm for Measuring 3D Pavement Texture Using a Single Laser Line Scanning Constraint

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1951-1972页

作者： Yuanyuan Wang RuiWang Xiaofeng Ren Junan Lei Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang441053China School of Civil Engineering and Architecture Hubei University of Arts and ScienceXiangyang441053China Enterprise Technical Center Xiangyang Road&Bridge Construction Group Co.Ltd.Xiangyang441023China

The dense and accurate measurement of 3D texture is helpful in evaluating the pavement *** form dense mandatory constraints and improve matching accuracy,the traditional binocular reconstruction technology was improved ***,a single moving laser line was introduced to carry out global scanning constraints on the target,which would well overcome the difficulty of installing and recognizing excessive laser ***,four kinds of improved algorithms,namely,disparity replacement,superposition synthesis,subregion segmentation,and subregion segmentation centroid enhancement,were established based on different constraint ***,the improved binocular reconstruction test device was developed to realize the dual functions of 3D texture measurement and precision *** show that compared with traditional algorithms,the introduction of a single laser line scanning constraint is helpful in improving the measurement’s *** various improved algorithms,the improvement effect of the subregion segmentation centroid enhancement method is the *** has a good effect on both overall measurement and single pointmeasurement,which can be considered to be used in pavement function evaluation.

关键词： 3D pavement texture binocular reconstruction algorithm single laser line scanning constraint improved stereo matching

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Fatigue Propagation Analysis of Crack Failure in High power IGBT Solder Based on Multiphysics Coupling Model and XFEM

Fatigue Propagation Analysis of Crack Failure in High Power ...

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IEEE Conference on electromagnetic Field Computation

作者： Jiashun Wang Haijun Zhang Bangwei Zhang Haifeng Kong Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

IGBT is one of the most important power modules in the electric traction converter system. In the long-term operation of the converter system, the IGBT module will suffer from alternating thermal load, frequent vibration impact and other coupling effects, which will easily lead to the cracking of the solder layer and the change of material properties, and the aging and damage of the accelerator parts. In this paper, the thermal-mechanical coupling finite element analysis model is established, and the influence of temperature on material properties is considered. The crack damage and periodic fatigue propagation behavior of solder layer are analyzed. Based on the damage mechanics theory and Paris equation, the fatigue propagation characteristics of IGBT solder layer crack element under periodic coupling stress are studied by using the extended finite element method, and the coupling effects of transient temperature change and vibration impact load on the dynamic crack propagation and damage aging evolution of IGBT solder layer under the change of material properties caused by temperature are considered.

关键词： Couplings Insulated gate bipolar transistors Vibrations Temperature Fatigue Mathematical models Finite element analysis

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Construction of Chiral One-dimensional Chains via Mononuclear Chiral Precursors and Circular Dichroism Properties

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Chinese Journal of Structural Chemistry 2021年第6期40卷 767-774,685页

作者： JU Hai-Yan YANG Ming ZHANG Gang LIU De-Zheng YANG Yong-Sheng ZHANG Yan-Bo School of Chemistry and Engineering Wuhan Textile UniversityWuhan 430073China Hubei Key Laboratory of Biomass Fibers and Eco-dyeing&Finishing Wuhan Textile UniversityWuhan 430073China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053China

One-dimensional(1D)chiral chain complexes[CuLSCu(Pydc)](2S)and[CuLRCu(Pydc)](2R)(LS=(E)-3-(((1S,2S)-2-(((E)-3-oxo-3-(4-pyridin-4-yl)phenyl)propylidene)amono)-1,2-diphenyl)imino)-1-(4-(py-ridi-4-yl)phenyl)butan-1-one)and LR=(E)-3-(((1R,2R)-2-(((E)-3-oxo-3-(4-pyridin-4-yl)phenyl)propyli-dene)amono)-1,2-diphenyl)imino)-1-(4-(pyridi-4-yl)phenyl)butan-1-one and Pydc=2,6-pyridinedicarboxylic acid)have been synthesized vis mononuclear chiral enantiomer precursors CuLS(1S)and CuLR(1R).Their different chiral configurations of 1S,1R,2S and 2R were determined by single-crystal X-ray diffraction analyses and further characterized by elemental analyses,infrared spectra(IR),powder X-ray diffraction(PXRD),thermal gravimetric analyses(TGA)and circular dichroism spectra(CD).

关键词： mononuclear chiral precursors 1D chiral chain circular dichroism spectra

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Propagation Characteristics of End-Winding Insulation Fatigue Damage in Variable Frequency Motor Under Multi-Field Coupling

Propagation Characteristics of End-Winding Insulation Fatigu...

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IEEE Conference on electromagnetic Field Computation

作者： Bangwei Zhang Haijun Zhang Jiashun Wang Yuxin Cao Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei university of Arts and Science Xiangyang China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

In this paper, the fatigue propagation mechanism of motor stator insulation damage under variable frequency drive is studied by combining theoretical analysis and finite element numerical simulation. Based on the magneto-thermo-solid coupling and fatigue damage theory, the stress-strain state, crack damage degree and propagation rate of motor stator insulation are analyzed. The crack damage propagation at different positions of the end winding outlet, middle and nose end is simulated and calculated by three-dimensional finite element method. It is found that the stress, strain and stress intensity factor of the end winding insulation at the outlet position change violently, which reflects that the crack damage is easier to expand and the propagation rate is greater. The results of this paper can provide reference for the evolution law, fault diagnosis and optimization design of insulation damage of variable frequency drive motor under complex working conditions.

关键词： Couplings Insulation Windings Stator windings Variable speed drives Motors Fatigue

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Crack Propagation of Ground Insulation Failure for Large Motor End-Winding Based on electromechanical Coupling Phase Field Model

Crack Propagation of Ground Insulation Failure for Large Mot...

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IEEE Conference on electromagnetic Field Computation

作者： Xiaobo Wu Haijun Zhang Bolong Wang Guowen Cao Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang China Xiangyang CRRC Motor Technology Co. Ltd. Xiangyang China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

The ground insulation is a key component for large electrical machine, which may present the crack defect after the process treatment and assembly of manufacturing. In this paper, the crack propagations of the ground insulation failure with initial crack in stator end-winding of the large motor were studied by using the coupled phase field model. In the proposed model, the coupled effects of mechanical and electrical fields on the crack propagation and the evolutions were considered by using phase field method and finite element analysis. The results in this paper may provide a new way for the research of multi-factor damage diagnosis and life prediction of motor insulation coupling.

关键词： Couplings Insulation Analytical models Computational modeling Stators Motors Finite element analysis

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Transfer Task-Averaged Natural Gradient for Efficient Many-Task Optimization

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IEEE Transactions on Evolutionary Computation 2024年

作者： Li, Yanchi Gong, Wenyin Gu, Qiong China University of Geosciences School of Computer Wuhan430074 China Hubei University of Arts and Science School of Computer Engineering Xiangyang441053 China Hubei University of Arts and Science Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China

With the increasing requirement for computational efficiency in evolutionary algorithms when tackling many optimization tasks concurrently, many-task optimization (MaTO) has gained much attention in recent years. It involves extracting and transferring the knowledge from successful search experiences across many tasks. As the number of tasks and variable scale grows in MaTO, the need for efficient knowledge transfer in evolutionary algorithms becomes indispensable. In this paper, we present a task-averaged natural gradient-assisted natural evolution strategy (TNG-NES) to deal with MaTO efficiently. The task-averaged natural gradient captures how a group of task distributions evolves, considering their overall trends of mean and covariance. This can accelerate the optimization process across all tasks by leveraging the evolutionary similarities among multiple task search distributions. Notably, TNG-NES exhibits linear computational complexity concerning the number of tasks for knowledge transfer. Additionally, to adaptively utilize task-averaged natural gradient for distribution evolution and mitigate negative transfer, we introduce a transfer adaptive control mechanism for TNG-NES. We conducted extensive experiments on CEC19-MaTO, WCCI22-MaTO, our proposed large-scale MaTO benchmark suite, and real-world applications. The results validate the effectiveness of TNG-NES, outperforming state-of-the-art MaTO algorithms. © 1997-2012 IEEE.

关键词： Knowledge transfer

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