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Global Energy Interconnection 2023年第2期6卷 228-237页

作者： Yu zhang Yuhang Zhang Tiezhou Wu Hubei University of Technology Hubei Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation ControlHubeiWuhan 430068P.R.China

With the rapid development of new energy technologies, lithium batteries are widely used in the field of energy storage systems and electric vehicles. The accurate prediction for the state of health(SOH) has an important role in maintaining a safe and stable operation of lithium-ion batteries. To address the problems of uncertain battery discharge conditions and low SOH estimation accuracy in practical applications, this paper proposes a SOH estimation method based on constant-current battery charging section characteristics with a back-propagation neural network with an improved atom search optimization algorithm. A temperature characteristic, equal-time temperature variation(Dt_DT), is proposed by analyzing the temperature data of the battery charging section with the incremental capacity(IC) characteristics obtained from an IC analysis as an input to the data-driven prediction model. Testing and analysis of the proposed prediction model are carried out using publicly available datasets. Experimental results show that the maximum error of SOH estimation results for the proposed method in this paper is below 1.5%.

关键词： State of health Lithium-ion battery Dt_DT Improved atom search optimization algorithm

Fully Distributed Economic Dispatch for Cyber-physical Power System with Time Delays and Channel Noises

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1472-1481页

作者： Yuhang Zhang Ming Ni Yonghui Sun College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co. Ltd.Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Economic dispatch problem(EDP)is a fundamental optimization problem in power system operation,which aims at minimizing the total generation cost.In fact,the power grid is becoming a cyber-physical power system(CPPS).Therefore,the quality of communication is a key point.In this paper,considering two important factors,i.e.,time delays and channel noises,a fully distributed consensus based algorithm is proposed for solving EDP.The critical maximum allowable upper bounds of heterogeneous communication delays and self-delays are obtained.It should be pointed out that the proposed algorithm can be robust against the time-varying delays and channel noises considering generator constraints.In addition,even with time-varying delays and channel noises,the power balance of supply and demand is not broken during the optimization.Several simulation studies are presented to validate the correctness and superiority of the developed results.

关键词： Distributed economic dispatch consensus-based algorithm cyber-physical power system time delay channel noises

A hybrid model for high spatial and temporal resolution population distribution prediction

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International Journal of Digital Earth 2022年第1期15卷 2268-2295页

作者： Yuhang Zhang Yi zhang Bo Huang Xin Liu Tsinghua-Berkeley Shenzhen Institute Tsinghua UniversityShenzhenPeople’s Republic of China Institute of Future Human Habitats Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhenPeople’s Republic of China Department of Geography and Resource Management The Chinese University of Hong KongShatinHong KongPeople's Republic of China Huawei Technologies Co. Ltd.ShenzhenPeople’s Republic of China

The accurate prediction of population distribution is crucial for numerous applications,from urban planning to epidemiological modelling.Using one-week data collected from open and multiple sources,including telecommunication activity,weather,point of interest,buildings,roads,and land use in Milan,Italy,we develop a hybrid method combining cellular automata(CA)and long short-term memory(LSTM)to predict population distribution with fine temporal and spatial granularity.Specifically,the convolutional autoencoder and LightGBM are applied to identify missing building types based on the pedestrian shed.The LSTM learns the transition rules of CA and Shapley additive explanations value is used for variable importance analysis.Results demonstrate that the combination of convolutional autoencoder and LightGBM is effective in building type prediction.The proposed model for population distribution prediction outperforms LSTM,the combination of CA and neural network,and the combination of CA and LightGBM by at least 5–10%.A variable importance analysis reveals that temporal variables are the most significant for prediction,followed by spatial and natural variables.The order of hour,housing-related variables,and types of precipitation are the most important variables in each category.

关键词： Cellular automata long short-term memory spatial and temporal analysis big data population distribution

Oblique detonation wave triggered by a double wedge in hypersonic flow

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Chinese Journal of Aeronautics 2022年第4期35卷 176-184页

作者： Honghui TENG Yuhang Zhang Pengfei YANG Zonglin JIANG School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of High Temperature Gas Dynamics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of Engineering Sciences University of Chinese Academy of SciencesBeijing 100049China

Pressure-gain combustion has gained attention for airbreathing ramjet engine applications owing to its better thermodynamic efficiency and fuel consumption rate. In contrast with traditional detonation induced by a single wedge, the present study considers oblique shock interactions attached to double wedges in a hypersonic combustible flow. The temperature/pressure increases sharply across the interaction zone that initiates an exothermic reaction, finally resulting in an Oblique Detonation Wave(ODW). Compared with the case for a single-wedge ODW, the double-wedge geometry has great potential to control the initiation of the ODW. As a tentative study, two-dimensional compressible Euler equations with a two-step induction-reaction kinetic model are used to solve the detonation dynamics triggered by a double wedge. The effects of the wedge angles and wedge corner locations on the initiation structures are investigated numerically.The results show an ODW complex comprising three Oblique Shock Waves(OSWs), an induction zone, a curved detonation front, and an unburned/low-temperature gas belt close to the surface of the second wedge. Both the increasing wedge angle and downstream wedge corner location lead to an abrupt OSW–ODW transition type, whereas the former corresponds to the shock–shock interaction and the later has a greater effect on the exothermic chemical process. Analysis of the shock polar and flow scale confirms that the OSW–ODW initiation structure mainly depends on the coupling of shocks and heat release in a confined initiation zone.

关键词： Double wedge Hypersonic flow Initiation structures Oblique detonation Shock interactions

Ferromagnetism and insulating behavior with a logarithmic temperature dependence of resistivity in Pb_(10-x)Cux(PO_(4))_(6)O

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Science China(Physics,Mechanics & Astronomy) 2024年第1期67卷 106-111页

作者： Yuhang Zhang Cong Liu Xiyu Zhu Hai-Hu Wen Center for Superconducting Physics and Materials National Laboratory of Solid State Microstructures and Department of PhysicsNational Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China

Recent claim of discovering above-room-temperature superconductivity(Tc≈400 K)at ambient pressure in copper doped apatite Pb10(PO_(4))_(6)O has stimulated world-wide enthusiasm and impulse of motion.A lot of follow-up works have been carried out with controversial conclusions.To check whether superconductivity is really present or absent in the material,we need samples which should have a rather pure phase of Pb_(10-x)Cux(PO_(4))_(6)O.Here we report the characterization results from the Pb_(10-x)Cux(PO_(4))_(6)O with a fraction of about 97 wt.%inferred from the fitting to the X-ray diffraction pattern,if assuming Cu2S as the only impurity.The resistivity measurements show that it is a semiconductor characterized roughly by a ln(1/T)temperature dependence in wide temperature region without trace of superconductivity.Magnetization measurements show that it has a general ferromagnetic signal with a weak superparamagnetic background.Many grains of the sample show clear interactions with a Nb Fe B magnet.The detected Cu concentration is much lower than the expected nominal one.Our results show the absence of metallicity and superconductivity in Pb_(10-x)Cux(PO_(4))_(6)O at ambient pressure,and suggest the presence of strong correlation effect.

关键词： superconductivity Pb10(PO4)6O ferromagnetic correlation effect

Advances in methane emissions from agricultural sources:Part I.Accounting and mitigation

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Journal of Environmental Sciences 2024年第6期140卷 279-291页

作者： Xiaokun Wu Ying zhang Yinghui Han Yagang zhang Yuhang Zhang Xiaodan Cheng Pei Zhong Xue Yuan Yuanxun zhang Zhengqiang Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Hebei Key Laboratory of Physics and Energy Technology North China Electric Power UniversityBaoding 071003China College of Resources and Environment University of Chinese Academy of SciencesBeijing 101408China Interdisciplinary Mathematics Institute University of South CarolinaColumbiaSC 29208United States Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China

Methane is one of the major greenhouse gases(GHGs)and agriculture is recognized as its primary emitter.Methane accounting is a prerequisite for developing effective agriculture mitigation strategies.In this review,methane accounting methods and research status for various agricultural emission source including rice fields,animal enteric fermentation and livestock and poultry manure management were overview,and the influencing factors of each emission source were analyzed and discussed.At the same time,it analyzes the different research efforts involving agricultural methane accounting and makes recommendations based on the actual situation.Finally,mitigation strategies based on accounting results and actual situation are proposed.This review aims to provide basic data and reference for agriculture-oriented countries and regions to actively participate in climate action and carry out effective methane emission mitigation.

关键词： Methane emission Agricultural sources Accounting methodology Mitigation Emission influencing factors

Mechanics and Wave Propagation Characterization of Chiral S-Shaped Auxetic Metastructure

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Acta Mechanica Solida Sinica 2022年第4期35卷 571-586页

作者： Qingsong zhang Wenjie Hong Jianfei Xu Yuhang Zhang Suhang Ding Wenwang Wu Re Xia Key Laboratory of Hydraulic Machinery Transients(Wuhan University) Ministry of EducationWuhan430072China School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai200240China Institute of Advanced Structure Technology Beijing Institute of TechnologyBeijing100081China Hubei Key Laboratory of Waterjet Theory and New Technology Wuhan UniversityWuhan430072China

Auxetic metastructures have attracted tremendous attention because of their robust multifunctional properties and promising potential industrial applications.This paper studies the in-plane mechanical behaviors of a chiral S-shaped metastructure subjected to tensile loading in both X-direction and Y-direction and wave propagation properties using the finite element(FE)method.The relationships between structural parameters and elastic behaviors are also discussed.The results indicate that the orientation of chiral S-shaped metastructure under tensile loading in the X-direction exhibits higher auxeticity and stiffness.Then,the band structures and the edge modes of each band gap of the chiral S-shaped metastructure are explored,and the relations between band gap properties and structural parameters are also systematically analyzed.Moreover,we explore the wave mitigation of the chiral S-shaped metastructures by regulating the structural parameters.Finally,the transmission properties of the finite chiral S-shaped periodic metastructures are studied to confirm the results of band gap simulation.This study promotes the engineering application of vibration isolation of chiral structures based on the band gap theory.

关键词： Auxetic metastructures Mechanical properties Band gaps Wave mitigation

ASFV transcription reporter screening system identifies ailanthone as a broad antiviral compound

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Virologica Sinica 2023年第3期38卷 459-469页

作者： Yuhang Zhang Zhenjiang zhang Fan zhang Jiwen zhang Jun Jiao Min Hou Nianchao Qian Dongming Zhao Xiaofeng Zheng Xu Tan College of Veterinary Medicine Hunan Agricultural UniversityChangsha 410128China State Key Laboratory of Veterinary Biotechnology Harbin Veterinary Research InstituteChinese Academy of Agricultural SciencesHarbin 150009China Beijing Advanced Innovation Center for Structural Biology Beijing Frontier Research Center for Biological StructureMOE Key Laboratory of Bioorganic Phosphorus Chemistry&Chemical BiologySchool of Pharmaceutical SciencesTsinghua-Peking Center for Life SciencesTsinghua UniversityBeijing 100084China Institute of Health and Medicine Hefei Comprehensive National Science CenterHefei 230601 China

African swine fever(ASF)is an acute,highly contagious and deadly viral disease in swine that jeopardizes the worldwide pig industry.Unfortunately,there are no authoritative vaccine and antiviral drug available for ASF control.African swine fever virus(ASFV)is the etiological agent of ASF.Among the ASFV proteins,p72 is the most abundant component in the virions and thus a potential target for anti-ASFV drug design.Here,we con-structed a luciferase reporter system driven by the promoter of p72,which is transcribed by the co-transfected ASFV RNA polymerase complex.Using this system,we screened over 3200 natural product compounds and obtained three potent candidates against ASFV.We further evaluated the anti-ASFV effects and proved that among the three candidates,ailanthone(AIL)inhibits the replication of ASFV at the nanomolar concentration(IC_(50)=15 nmol/L).Our in vitro experiments indicated that the antiviral effect of AIL is associated with its inhibition of the HSP90-p23 cochaperone.Finally,we showed the antiviral activity of AIL on Zika virus and hepatitis B virus(HBV),which supports that AIL is a potential broad-spectrum antiviral agent.

关键词： African swine fever virus(ASFV) Replication inhibition Broad-spectrum antiviral drugs Ailanthone(AIL)

Litho-Asym Vnet: super-resolution lithography modeling with an asymmetric V-net architecture

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Science China(Information Sciences) 2023年第12期66卷 301-302页

作者： Qing zhang Yuhang Zhang Wei LU Huajie HUANG Zheng ZHONG Congshu ZHOU Yongfu LI Department of Micro-Nano Electronics and Mo E Key Lab of Artificial Intelligence Shanghai Jiao Tong University Primarius Technologies Co. Ltd.

Lithography simulation is key to the preparation of mask data and verification of mask patterns [1], which enhances design-to-wafer fidelity and minimizes distortions. However,the complexity of lithography simulation has tremendously increased with the decrease in feature size, prolonging the simulation cycle. Hence, an accurate and fast lithography simulation is in great demand.

关键词： Optical resolving power

The study of lithographic variation in resistive random access memory

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Journal of Semiconductors 2024年第5期45卷 69-79页

作者： Yuhang Zhang Guanghui He Feng zhang Yongfu Li Guoxing Wang Department of Micro-Nano Electronics Shanghai Jiao Tong UniversityShanghai 200240China MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong UniversityShanghai 200240China Institute of Microelectronics Chinese Academy of SciencesBeijing 100029China

Reducing the process variation is a significant concern for resistive random access memory(RRAM).Due to its ultrahigh integration density,RRAM arrays are prone to lithographic variation during the lithography process,introducing electrical variation among different RRAM devices.In this work,an optical physical verification methodology for the RRAM array is developed,and the effects of different layout parameters on important electrical characteristics are systematically investigated.The results indicate that the RRAM devices can be categorized into three clusters according to their locations and lithography environments.The read resistance is more sensitive to the locations in the array(~30%)than SET/RESET voltage(<10%).The increase in the RRAM device length and the application of the optical proximity correction technique can help to reduce the variation to less than 10%,whereas it reduces RRAM read resistance by 4×,resulting in a higher power and area consumption.As such,we provide design guidelines to minimize the electrical variation of RRAM arrays due to the lithography process.

关键词： layout lithography process variation resistive random access memory