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2023 IEEE International Conference on Power Science and technology, ICPST 2023

作者： Liu, Longjian Yu, Kexun Xie, Xianfei Kunming University of Science and Technology Faculty of Electric Power Engineering Kunming China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9798350311358

Nowadays, with the development of laser weapons, the primary power supply of laser weapons puts forward more and more high demand for its performance. The pulsed power supply based on conventional homopolar inductor alternator (HIA) cannot meet the requirements any more. In order to improve the power density and efficiency, this paper proposes applying the high-temperature superconducting (HTS) HIA with slotless stator core to this power supply. In this paper, the design considerations of it are presented, and the comparisons between the two power supplies are discussed. The calculation results show that the power supply based on HTS machine has much larger power density than the conventional HIA, and the efficiency is also larger than the conventional HIA. This can improve the performance of laser weapons dramatically. © 2023 IEEE.

关键词： Efficiency

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Al-F co-doping towards enhanced electrolyte-electrodes interface properties for halide and sulfide solid electrolytes

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Chinese Chemical Letters 2025年第1期36卷 610-617页

作者： Han Yan Jingming Yao Zhangran Ye Qiaoquan Lin Ziqi Zhang Shulin Li Dawei Song Zhenyu Wang Chuang Yu Long Zhang College of Physics and Energy Fujian Normal UniversityFuzhou 350117China Clean Nano Energy Center State Key Laboratory of Metastable Materials Science and TechnologyYanshan UniversityQinhuangdao 066004China Tianjin Key Laboratory for Photoelectric Materials and Devices School of Materials Science and EngineeringTianjin University of TechnologyTianjin 300384China Guilin Electrical Equipment Scientific Research Institute Co. Ltd.Guilin 541004China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430000China

All-solid-state Li batteries(ASSLBs)using solid electrolytes(SEs)have gained significant attention in recent years considering the safety issue and their high energy *** these advantages,the commercialization of ASSLBs still faces challenges regarding the electrolyte/electrodes interfaces and growth of Li *** doping is an effective and direct method to enhance the performance of ***,we report an Al-F co-doping strategy to improve the overall properties including ion conductivity,high voltage stability,and cathode and anode ***,the Al-F co-doping enables the formation of a thin Li-Al alloy layer and fluoride interphases,thereby constructing a relatively stable interface and promoting uniform Li *** similar merits of Al-F co-doping are also revealed in the Li-argyrodite *** assembled with these optimized electrolytes gain good electrochemical performance,demonstrating the universality of Al-F co-doping towards advanced SEs.

关键词： Solid electrolytes Li halides Li_(2)ZrCl_(6) Li argyrodites Fluorine doping

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Improved Resonant Frequency Tracking Strategy based on Load Parameter Prediction for Linear Oscillatory Machine

Improved Resonant Frequency Tracking Strategy based on Load ...

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2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

作者： Gong, Yifan Cheng, Yang Xu, Wei Liao, Kaiju Ge, Jian Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China

ISBN: (纸本)9798350396867

As the key power part of the linear compressor, the linear oscillatory machine (LOM) has been paid more attention by both academia and industry recently for its compact size, high efficiency, low vibration, etc. In practice, the efficiency of LOM is significantly impacted by the changes in load parameters, of which the best working point can be tracked by the resonant frequency tracking control. However, the traditional resonant frequency tracking control with the idea of stroke-current phase suffers some serious problems, like slow tracking speed, low accuracy, large current peak during starting, fluctuate amplitude of piston, and so on. In this paper, a Kalman filter for the mechanical system of LOM is proposed, which avoids the impact of environmental noise and obtains the observed values of load parameters. On this basis, a parameter correction scheme based on gradient descent method is proposed. By calculating the corresponding gradient matrix, iterative adjustment and correction of the covariance matrix in the Kalman filter are realized. The combination of the two realizes the load parameter prediction of the LOM, and on this basis, completes the frequency control of the LOM. Comprehensive simulation results have fully demonstrated the advantages of proposed control strategy compared to those of traditional methods. © 2023 IEEE.

关键词： Natural frequencies

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A Novel Method Based on Stacking Model for Remaining Useful Life Prediction of Lithium-ion Batteries 26

A Novel Method Based on Stacking Model for Remaining Useful ...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Li, Zhuohao Shi, Qionglin Xia, Junyi Wang, Kangli Jiang, Kai Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9798350317589

As an important energy storage technology, lithium-ion batteries are widely used in various industrial fields, effectively alleviating the pressure of energy transition and environmental pollution. In order to ensure the safe and efficient long-term service of lithium-ion batteries, it is particularly important to accurately estimate the remaining useful life (RUL). In this paper, a novel method based on stacking model is proposed for predicting the RUL of lithium-ion batteries. Firstly, multiple health features are extracted from capacity, voltage curve, and capacity-voltage curve. Then their correlations with RUL are analyzed using State of Health (SOH), current charging time, discharge time to 3.8v, discharge time to 3.35v, discharge time in the voltage range of 3.35v-3.8v and voltage at the turning point of the charging capacity-voltage curve of lithium-ion batteries. Next, a stacking model including gradient boosting decision tree, support vector regression, random forest and multiple linear regression is constructed. Finally, to validate the accuracy of the proposed method, it is applied to batteries from the Hawaii Natural Energy Institute (HNEI) dataset, and compared with the performance of individual model. The results show that the RUL prediction error of the proposed method is only 11.3, which has a high accuracy. © 2023 IEEE.

关键词： Lithium-ion batteries

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Capacity estimation based on the aging characteristics analysis of Liquid metal batteries 11

Capacity estimation based on the aging characteristics analy...

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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Shi, Qionglin Li, Haomiao Wang, Kangli Jiang, Kai Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology China Huazhong University of Science and Technology Engineering Research Center of Power Safety and Efficiency China

ISBN: (纸本)9788957083505

The liquid metal battery is a new energy storage technology that is gaining increasing attention due to its high safety and long life. Accurate capacity estimation is crucial for health diagnosis and pack management, providing a strong guarantee of long-term stable operation for energy systems. However, owing to the lack of aging analysis traditional methods are difficult to improve the precision in the situation of unpredictable disturbances or fluctuations, such as capacity plunge. This paper proposes a capacity estimation method based on aging features by combining machine learning and filter algorithms, this method can provide an accurate prediction even the LMB is subject to capacity plunge. First, the aging features are extracted using only a tenth of the whole information from the discharge curve and increment capacity (IC) curve. Next, the Long Short Term Memory (LSTM) network is employed to establish the state-space representation between the aging feature and the capacity. The particle filter (PF) is then combined with the state-space representation to predict the capacity. Finally, aging tests are conducted to validate the precision and effectiveness of the proposed hybrid method. These results show that the proposed method can provide robustness as well as accurate capacity prediction. © 2023 The Korean Institute of Power Electronics.

关键词： Liquid metals

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Ionization process and distinctive characteristic of atmospheric pressure cold plasma jet driven resonantly by microwave pulses

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Plasma Science and technology 2022年第10期24卷 45-53页

作者： Lingli HONG Zhaoquan CHEN Jie YANG Tao CHENG Sile CHEN Yuming ZHOU Bing WANG Xinpei LU Anhui Province Key Laboratory of Power Electronics and Electrical Control Anhui University of TechnologyMaanshan 243032People's Republic of China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and TechnologyWuhan 430074People's Republic of China

In the present study,a coaxial transmission line resonator is constructed,which is always capable of generating cold microwave plasma jet plumes in ambient air in spite of using argon,nitrogen,or even air,*** the different kinds of working gas induce the different discharge performance,their ionization processes all indicate that the ionization enhancement has taken place twice in each pulsed periods,and the electron densities measured by the method of microwave Rayleigh scattering are higher than the amplitude order of 10^(18)m^(-3).The tail region of plasma jets all contain a large number of active particles,like NO,O,emitted photons,etc,but without O_(3).The formation mechanism and the distinctive characteristics are attributed to the resonance excitation of the locally enhanced electric fields,the ionization wave propulsion,and the temporal and spatial distribution of different particles in the pulsed microwave plasma *** parameters of plasma jet could be modulated by adjusting microwave power,modulation pulse parameters(modulation frequency and duty ratio),gas type and its flow rate,according to the requirements of application scenarios.

关键词： pulsed microwave discharge cold plasma jet transient ionization process ionization enhancement

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Novel Inertia Control Method with Phase-Locked Error Feedforward in PLL for DFIG-Based WTs

Novel Inertia Control Method with Phase-Locked Error Feedfor...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Yu, Jiawei Zhu, Yihua Zhou, Yini Hu, Bo Li, Zheyu Li, Xiaoyu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou510663 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9789819620418

The large-scale access of wind power causes a significant reduction in the inertia of the power system, seriously threatening the security and stability of the system frequency. Inertia control methods based on the optimized PLLs provide a solution to the low inertia problem of doubly-fed inductance generator (DFIG)-based wind turbines (WTs), but they still suffer from poor dynamic performance and obvious phase-locked error in steady state. For this reason, a novel inertia control method for DFIG-based WTs is proposed in this paper to support the system frequency with better performance in all aspects. Firstly, an equivalent inertia model is deduced considering the dynamic of control and the reason why modifying PLL can realize inertia response of WT is analyzed. Then, the existing inertia control methods based on optimized PLL is introduced and a novel inertia control method with phase-locked error feed-forward in PLL (pefPLL) is proposed. After that, the inertia characteristics, dynamic performance, and steady state performance of pefPLL and other PLLs are compared. Finally, the superiority of the novel inertia control method with pefPLL is verified by simulations. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Wind turbines

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The Effect of Nano-Cu Interconnection Materials on the Thermomechanical Properties of SiC Double-Sided Power Modules

The Effect of Nano-Cu Interconnection Materials on the Therm...

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2024 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2024

作者： Wei, Suhang Liu, Jiaxin Lv, Weishan Chen, Cai Kang, Yong Wu, Yue He, Zhipeng State Key Laboratory of Advanced Electromagnetic Technology Huazhong University of Science and Technology China School of Mechanical Science and Engineering Huazhong University of Science and Technology China State Key Laboratory of HVDC Electric Power Research Institute CSG China

ISBN: (纸本)9783800762620

The high porosity and high coefficient of thermal expansion (CTE) of nano-silver limit its application in SiC double-sided power modules, and the easy electromigration of nano-silver reduces its reliability. Stress fluctuations and residual stress during the sintering process directly affect the yield limit and fatigue strength of the power module and determine the reliability of solder interconnection. Therefore, this paper uses nano-copper slurry with lower cost and better CTE matching as the interconnect material for SiC double-sided power modules to solve these problems. Through finite element simulation, we conducted thermo-mechanical stress simulations on three SiC double-sided power modules whose interconnect layer materials are nano-copper, nano-silver, and SAC305. The results show that during the sintering process, compared with nano-silver, the stress fluctuation of the three layers of nano-copper slurry is greatly reduced, and the average residual stress is reduced by 33.58%, 14.79%, and 37.22% respectively. The thin interconnect layer thickness of 50um makes the steady-state junction temperature of the nano-copper module lower and has a heat dissipation capability comparable to that of nano-silver. During the sintering heating and cooling processes, the overall average stress of the nano-copper module was 11.76% and 4.98% lower than that of the nano-silver module respectively, proving that nano-copper has an excellent ability to alleviate stress concentration and improve the reliability of SiC double-sided power modules. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Sintering

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Multi-scale regulation in S,N co-incorporated carbon encapsulated Fe-doped CO_(9)S_(8) achieving efficient water oxidation with low overpotential

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Nano Research 2022年第2期15卷 872-880页

作者： Wenbin Wang Yang Yang Yang Zhao Shuzhe Wang Xiaomeng Ai Jiakun Fang Youwen Liu State Key Laboratory of Materials Processing and Die&Mould Technology and School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China State Key Lab of Advanced Electromagnetic Engineering and Technology and School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Sulfide compounds provide a type of promising alternative for oxygen evolution reaction(OER)electrocatalysts due to their diversity,intrinsic activities,low-price and ***,the unsmooth mass transport channel,the collapse of the structure and insufficient intrinsic activities limit their potential for OER *** respond,the dense Fe-doped Co_(9)S_(8) nanoparticles encapsulated by S,N co-incorporated carbon nanosheets(Fe-Co_(9)S_(8)@SNC)were proposed and synthesized via fast thermal treatment from ultrathin metal-organic frameworks(MOFs)*** designed catalysts,the nanosheet configuration connected by nanoparticles retained rich access for permeation of electrolyte and precipitation of O_(2) bubbles during OER ***,the outer carbon layer of Co9S8 provided additional catalytic activity while acting as armor to keep the structure *** the atomic scale,the doped Fe regulated the local charge density and the d-band center for facilitating desorption of oxygen *** from this multi-scale regulation strategy,the Fe-Co_(9)S_(8)@SNC displays an ultralow overpotential of 273 mV at 10 mA·cm^(-2) and small Tafel slope of 55.8 mV·dec^(-1),which is even close to the benchmark RuO_(2) *** concept could provide valuable insights into the design of other catalysts for OER and beyond.

关键词： Co9S8 water oxidation electronic structure multi-scale regulation d-band center

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Attention Pyramid Dilated Region-based Model for Metallurgical Defect Detection

Attention Pyramid Dilated Region-based Model for Metallurgic...

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2024 International Conference on Computational Intelligence and Communication System, CCICS 2024

作者： Cheng, Danpeng Sha, Wuxin Xu, Zuo Huang, Lixin Zhang, Zhendong Du, Yunpeng Zhu, Zhihua Cao, Yuan-Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China CITIC Dicastal Co. Ltd. Qinhuangdao066011 China

Defect recognition is the key to realizing automatic visual inspection and quality control in intelligent manufacturing. Deep learning (DL) has been widely applied to locate damaged areas in images, characterize impurities of materials and further analyze the quality of products. However, automatic defect detection by DL in practical industrial applications is still a challenge due to the lack of sufficient datasets and appropriate recognition methods. Here, a novel Attention Pyramid Dilated Region-based Convolutional Neural Network (ADRCNN) is proposed to realize the multi-scale defect recognition and pixel-level instance segmentation of metallographic images. We also collected a dataset containing 900 images of commercial A356 aluminum alloy with different casting defects. The ADRCNN model is evaluated on our dataset with an average detection accuracy of 87.2% and 93.3% on validation and test sets respectively. To address the overfitting problem, a pretraining fine-tuning strategy is implemented by using the pretraining weights from large-scale datasets and temporarily freezing the weights of the backbone network during the training process. The experimental results show that the proposed model can achieve satisfactory defect segmentation in metallographic images, promoting the development of intelligent manufacturing in alloy industries. © Published under licence by IOP Publishing Ltd.

关键词： Aluminum alloys

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