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3rd New Energy and Energy Storage System Control Summit Forum, NEESSC 2023

作者： Wu, Chao Wang, Chao Lv, Shuyang Zhang, Kaixin Song, Yahao School of Electrical Engineering and Automation Institute of Science and Technology Henan Luoyang China

ISBN: (纸本)9798350309348

With the rapid development of power lithium-ion battery industry in recent years, its safety performance has gradually attracted widespread attention. This paper reports our research on micro-short fault of power lithium iron phosphate battery. Two different experiments which might induce micro-short were designed. According to the experiment results and external features of micro-short fault, a diagnostic approach based on module redundancy was proposed, which obtained the voltage correlation coefficient in serial module and temperature residual in parallel module to detect and locate the individual cell suffering micro-short in the module. Then the mechanism of micro-short fault was identified through variation tendency of incremental capacity curves. Post-mortem examination was carried out to validate the effectiveness of the proposed fault diagnosis and mechanism identification approach. ©2023 IEEE.

关键词： Failure analysis

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Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs

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Chinese Journal of Electronics 2023年第6期32卷 1258-1270页

作者： LI Xingwang GAO Xuesong LIU Yingting HUANG Gaojian ZENG Ming QIAO Dawei Physics and Electronic Information Engineering Henan Polytechnic University School of Electronic and Information Engineering Lanzhou Jiaotong University State Grid Gansu Electric Power Research Institute School of Electronic Engineering Beijing University of Posts and Telecommunications Department of Electrical and Computer Engineering Laval University School of Emergency Management Henan Polytechnic University

With the development of the mobile communication and intelligent information technologies,the intelligent transportation systems driven by the sixth generation(6G) has many opportunities to achieve ultralow latency and higher data transmission rate. Nonetheless, it also faces the great challenges of spectral resource shortage and large-scale connection. To solve the above problems, non-orthogonal multiple access(NOMA) and cognitive radio(CR) technologies have been proposed. In this regard, we study the reliable and ergodic performance of CR-NOMA assisted intelligent transportation system networks in the presence of imperfect successive interference cancellation(SIC) and non-ideal channel state information. Specifically, the analytical expressions of the outage probability(OP) and ergodic sum rate(ESR) are derived through a string of calculations. In order to gain more insights, the asymptotic expressions for OP and ESR at high signal-to-noise ratio(SNR) regimes are discussed. We verify the accuracy of the analysis by Monte Carlo simulations, and the results show: i) Imperfect SIC and channel estimation errors(CEEs) have negative impacts on the OP and ESR; ii) The OP decreases with the SNR increasing until convergence to a fixed constant at high SNR regions; iii) The ESR increases with increasing SNR and there exists a ceiling in the high SNR region.

关键词： NOMA Analytical models Interference cancellation Spectral efficiency System performance Channel estimation Reliability

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Cross-border e-commerce product search technology based on self attention mechanism neural network model 2

Cross-border e-commerce product search technology based on s...

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2nd International Conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Qu, Ying Tu, Sirui Wuhan Polytechnic Wuhan430074 China School of Electrical Engineering and Automation Wuhan University Wuhan430072 China

ISBN: (纸本)9781510689053

Currently, the application of artificial intelligence in cross-border e-commerce is very extensive. The commonly used product keyword search techniques have low accuracy when dealing with complex and diverse product descriptions in cross-border e-commerce. In order to improve product search performance, a deep capsule network optimized Transformer model was designed for cross-border e-commerce platforms. This technology can more effectively capture and understand semantic information in product descriptions by introducing self attention mechanisms, thereby improving the accuracy and efficiency of keyword extraction. The results show that when the number of heads is 8, the accuracy of the optimized model on all three datasets is over 84%. The optimized model performed well in embedded model 5, with improvements of 6.93% and 6.21% compared to the original model and the capsule network optimized model, respectively. This model introduces a self attention mechanism, which can more effectively capture and understand semantic information in product descriptions. It has achieved significant improvements in the accuracy and efficiency of keyword extraction through deep analysis of product information and optimization of the model. The optimization model has significant advantages in handling complex product e-commerce knowledge keyword extraction tasks. This not only provides an effective product search solution for cross-border e-commerce platforms, but also offers new ideas and methods for further optimizing and improving search technology. © 2025 SPIE.

关键词： Marketplaces

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Research on Key Technologies of Electromagnetic Release Hydraulic Operating Mechanism for Fast Circuit Breakers 19th

Research on Key Technologies of Electromagnetic Release Hydr...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： He, Dawei Duan, Xiaohui Liu, Gang He, Baoying Zhang, Minghui Yan, Feiyue Tong, Shaocong Xu, Jiayuan Henan Pinggao Electric CO. LTD. Henan Pingdingshan China School of Electrical Engineering and Automation Wuhan University Hubei Wuhan China

ISBN: (纸本)9789819613908

The application of large-scale new power system and the improvement of industrial power demand lead to the frequent occurrence of short-circuit current exceeding the standard in the power system, and the high-speed opening and breaking type circuit breaker can quickly solve the short-circuit current. Electromagnetic release type hydraulic actuator has fast switching, high output kinetic energy, and combines the characteristics of both repulsive and hydraulic mechanisms. By introducing the basic principle of the repulsive force driven control valve, the design target of the electromagnetic release hydraulic actuator is proposed, and then the functional requirements, parameter model and structural optimisation of the electromagnetic release device and the hydraulic system are studied;based on this, a prototype of the 252 kV high-speed circuit breaker adapted to the electromagnetic release actuator is developed, and finally the test verification is carried out. The test shows that the full opening time of the 252 kV high-speed circuit breaker adapted to the electromagnetic release hydraulic actuator is only 25 ms, which is 50% shorter than that of the traditional circuit breaker, and it verifies the validity of the design method of the electromagnetic release hydraulic actuator and the feasibility of adapting this new type of actuator to the fast tripping of the circuit breaker. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Solenoid valves

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Research on Surface Defect Detection Technology of Wind Turbine Blade Based on UAV Image

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Instrumentation 2022年第1期9卷 41-48页

作者： TAN Xingguo ZHANG Gaoming School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuoHenan454000 Hami Vocational and Technical College HamiXinjiang839000

In the background of“double carbon,”vigorously developing new energy is particularly *** power is an important clean energy *** the field of new energy,wind power scale is also *** the wind turbine,the probability of large-scale blade damage is also *** the large wind turbine blade crack detection cost is high and because of the poor working environment,this paper proposes a wind turbine blade surface defect detection method based on UAV acquisition images and digital image *** application of weighted averages to achieve grayscale processing,followed by median filtering to achieve image noise reduction,and an improved histogram equalization algorithm is proposed and used for the characteristics of the UAV acquisition images,which enhances the image by limiting the contrast adaptive his-togram equalization algorithm to make the details at the target area and defects more clear and complete,and improves the detection *** detection of the blade surface is achieved by separating and extracting the feature information from the defects through image foreground segmentation,threshold processing,and framing by the connected *** validity and accuracy of the proposed method in leaf detection were verified by experiments.

关键词： Wind Turbine Blade UAV Blade Damage Image Processing Defect Detection

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Frequency Control Method of Isolated Micro-grid With Virtual Synchronous Generator Mode Switching 3

Frequency Control Method of Isolated Micro-grid With Virtual...

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3rd International Conference on Smart Grids and Energy Systems, SGES 2024

作者： Liu, Penghui Chen, Yu Zheng, Keying Dai, Yuxing Research and Development Center Guangdong Zhicheng Champion Group Co. Ltd. Dongguan China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9798331539634

In view of the problem that the adjustment effect of the traditional PI-based frequency control method is not efficient in the asymmetric operation state of the micro-grid, a frequency control method based on the mode switching of the virtual synchronous generator (VSG) is designed. Specifically, firstly, on the frequency regulation of PI controller in the asymmetric operating state, the influence mechanism of the double fundamental frequency component is analyzed. Secondly, the mode switching method is designed to judge the operating state of the power grid by the asymmetric degree matrix. Thirdly, aiming at the asymmetric operation state, the effective control of microgrid frequency is realized by introducing integral to eliminate the double fundamental frequency component to obtain new data of active power. Finally, under asymmetric operating conditions, comparative experiments, which verifies the feasibility and effectiveness of the proposed method, show that the proposed method has more advantages in reducing frequency deviation and frequency fluctuation. © 2024 IEEE.

关键词： Synchronous generators

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Severity Estimation of Interturn Short Circuit Fault for Direct-Drive Permanent Magnet Synchronous Motor Based onKnowledge Graph System 17th

Severity Estimation of Interturn Short Circuit Fault for Dir...

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17th Chinese Intelligent Systems Conference, CISC 2021

作者： Gao, Cai-xia Zhang, Nan Feng, Hai-chao School of Electrical Engineering and Automation Henan Polytechnic University 2001 Century Avenue Henan Jiaozuo454003 China

ISBN: (纸本)9789811663192

This paper presents a novel method based on KG system to diagnose the interturn short circuit fault (ISF) and estimate the number of shorted turns for direct-drive permanent magnet synchronous motor (DDPMSM). First The branch differential current (BDC) is proposed as fault indicator (FI). Then simulation and experimental results indicate that the BDC can be used to estimate shorted turns under different load and speed condition. Second, The KG system is designed and established to automatically detect the ISF and estimate the shorted turns. Finally, the system is tested by data under different operation conditions. The test results indicate that the proposed severity estimation system can detect the ISF in the early stage and estimate shorted turns. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Timing circuits

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A Non-intrusive Load Identification Method Based on CNN Multi-label Classification 19th

A Non-intrusive Load Identification Method Based on CNN Mult...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhang, Li Ma, Mengyu Ai, Hengtao Liu, Jiawei Zhang, Hongwei College of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China Linfen Power Supply Company Shanxi Electric Power Company Linfen China

ISBN: (纸本)9789819613908

This paper proposes a load identification approach that combines Weighted Recursive Graph (WRG) and Convolutional Neural Networks (CNN) to meet the higher identification demands of residential users. Firstly, the single-period steady-state current signal is extracted from the aggregate signal;the current is decomposed into two forms: active current and reactive current by the Fryze power theory, and then the recursive matrix is used to convert the decomposed reactive current into a two-dimensional image data, and the CNN multi-label classifier is used to extract and learn WRG image features automatically. Finally, the convolutional neural network is used to extract and learn the features of WRG images to complete the task of multi-label load identification. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Convolutional neural networks

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Infrared and Visible Image Fusion Using Visual Saliency and Sparse Representation 1

Infrared and Visible Image Fusion Using Visual Saliency and ...

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1st International Conference on Intelligent Manufacturing and Cloud Computing, ICIMCC 2024

作者： Duan, Chaowei Xu, Haigang Zhang, Guifeng Zhang, Yingzheng Guo, Ze Kong, Huijun School of Electronic Information Engineering Henan Institute of Technology Xinxiang China School of Electrical Engineering and Automation Henan Institute of Technology Xinxiang China Engineering Technology Research Center Henan Lithium Power Co. Ltd Xinxiang China

ISBN: (纸本)9781643685779

Fusion of infrared and visible image is one of the research focuses. Whereas, many existing fusion methods often suffer from such issues as contrast distortion and information loss. To address the drawbacks mentioned above, an efficacious fusion method is presented. Firstly, an efficient image decomposition model is presented via the rolling guidance filter. Secondly, the decomposed layers are merged to acquire the fused base layer image using visual saliency fusion scheme and acquire the fused detail layer image using sparse representation fusion scheme. Finally, the fused result is acquired using the fused base layer and the fused detail layer. Visual effects and objective evaluations of 濸xperimental results effectively demonstrate that the proposed method is able to gain superior or comparable performances compared with several representative fusion methods. © 2025 The Authors.

关键词： Image fusion

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The Implementation of Physical Parameters and Frequency Modulation in the Grid-Forming Converter with Energy Storage System

The Implementation of Physical Parameters and Frequency Modu...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Peng, Minxuan Peng, Neng Wang, Yi Dai, Shuangyin Chuang, Kaihsun Zha, Xiaoming Sun, Jianjun School of Electrical Engineering and Automation Wuhan China State Grid Henan Electric Power Company Zhengzhou China

ISBN: (纸本)9798350376067

The grid-forming converter, which controls the output frequency through DC-link voltage, suffers from DC-link voltage exceeding limits and oscillation divergence during transient operation due to the mismatch between control parameters and physical components. Based on a grid-connected converter with an energy storage system, this paper proposes a parameter selection method corresponding with physical inertia and damping using the DC-link voltage synchronous control. This paper analyzes the equivalent inertia correspondence based on the operating range of DC-link voltage. Then, the parameter-corresponding method is proposed based on a composite three-port converter. Through the theoretic analysis and simulation analysis, the energy storage device supports extra inertia and damping with the proposed method while achieving frequency modulation. Finally, the effectiveness of the proposed method is verified through the 10kW prototype experiments. © 2024 IEEE.

关键词： Frequency modulation

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