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Non-layer-transformed Mn_(3)O_(4) cathode unlocks optimal aqueous magnesium-ion storage via synergizing amorphous ion channels and grain refinement

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Journal of Energy Chemistry 2022年第5期31卷 42-48页

作者： Zhongyu Pan Tingting Qin Wei Zhang Xianyu Chu Taowen Dong Nailin Yue Zizhun Wang Weitao Zheng State Key Laboratory of Automotive Simulation and Control School of Materials Science&EngineeringKey Laboratory of Mobile Materials MOEElectron Microscopy Centerand International Center of Future ScienceJilin UniversityChangchun 130012JilinChina

Aqueous rechargeable magnesium ion batteries(ARMBs) have obtained more attention due to the twoelectrons transfer nature, low cost and safety. However, the scarcity of cathode materials seriously hinders the development of ARMBs because of the unfavorable strong interaction between Mg^(2+) and cathode material. Herein, we choose a pre-treated spinel Mn_(3)O_(4) cathode for aqueous Mg^(2+) storage. The pretreatment in Na_(2)SO_(4) solution induces the grain refinement decorated with tortuous amorphous ion diffusion channels, facilitating the production of electrochemical reaction active sites and the diffusion of Mg^(2+), respectively, which achieve a(sub-)surface pseudocapacitance reaction between Mn(Ⅱ) and Mn(Ⅲ). As a result, the pre-treated Mn_(3)O_(4) cathode exhibits a package of optimal performances, i.e., a capacity of 98.9 m Ah g^(-1) and a high capacity retention rate of 99.4% after 2000 cycles. To the best of our knowledge, our work not only provides a new reaction mechanism of spinelMn_(3)O_(4) in aqueous batteries system,but also affords a high cycle stability electrode material for rechargeable Mg^(2+) energy storage.

关键词： Spinel Mn3O4 Grain refinement Amorphous ARMBs

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Enhancing corn stalk-based anaerobic digestion with different types of zero-valent iron added during the acidification stage:Performance and mechanism

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Journal of Environmental Sciences 2024年第11期145卷 64-74页

作者： Xiang Liu Yue Liu Min Wang Qianzhen Deng Hao Yang College of Agricultural Science and Engineering Hohai UniversityNanjing 210098China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China National and Local Joint Engineering Research Center of Ecological Treatment Technology for Urban Water Pollution Wenzhou UniversityWenzhou 325035China Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse Anhui Jianzhu UniversityHefei 230009China

Anaerobic digestion has been defined as a competitive approach to facilitate the recycling of corn ***,few studies have focused on the role of direct interspecies electron transfer(DIET)pathway in the acidification stage under the addition of different particle sizes of zero-valent iron(ZVI).In this study,three types of ZVI,namely iron filings,iron powder and nanoscale iron,were investigated,respectively,to enhance its high-value *** in volatile fatty acids(VFAs)and methane(CH4)production associated with the underlyingmechanisms were emphatically *** indicated that the addition of ZVI could increase the concentration of VFAs,with the most outstanding performance observed with the use of nanoscale ***,the conversion of propionic acid to acetic acid was driven by adding ZVI with no between-group differences in acidizing ***,the substrate was more fully utilized when supplied with iron powder compared with other groups in methanogenic phase,thereby displaying the maximumCH4 yield with a value of 263.1 mL/(g total solids(TS)).However,adding nanoscale iron could signally shorten the digestion time(T80),saving 7 days in comparison to the group of iron powder.

关键词： Zero-valent iron Corn stalk Anaerobic digestion Volatile fatty acids Methane

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Preventive control Methods for Power systems Based on Improved Deep Reinforcement Learning 6

Preventive Control Methods for Power Systems Based on Improv...

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6th International Conference on Power and Energy Technology, ICPET 2024

作者： Zhang, Jie Zhu, Yihua Liang, Zhuohang Zhang, Qingqing Ma, Qinfeng Liu, Mingshun An, Su Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd Guiyang China

ISBN: (纸本)9798350375855

Convergence speed, accuracy, generalization and decision transparency are very important indices for transient stability preventive control generation methods based on AI. This paper proposes a transient stability preventive control generation method based on graph deep reinforcement learning and its interpretation method using mutual information optimization. Firstly, a transient stability preventive control generation model is built based on the framework of deep reinforcement learning algorithm. The grid domain buses are mapped to the graph domain nodes and the grid graph data samples are generated. The graph convolutional neural network via initial residual and identity mapping (GCNII) is used to build the action network and the evaluation network. Secondly, based on the GCNII network, a transient stability assessment model is built and pre-trained, and graph data samples containing varies of topological structures and power flow states are applied to train the model. Then the interpretation method based on mutual information optimization is used to analyze the decision-making basis of the transient stability assessment model. The dominant factor affecting the transient instability of power system is extracted and its contribution degree is quantified, and the abduction analysis of transient stability is realized. Finally, the pre-trained transient stability assessment model is embedded in the deep reinforcement learning framework as a guide, and the power flow adjustment method is used to preferentially correct the weak factors and their influencing factors so that the transient stability prevention control strategies are obtained. The feasibility and effectiveness of the proposed method are verified in the IEEE-39 node test system. © 2024 IEEE.

关键词： Transient stability

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GENERATIVE ADVERSARIAL NETWORKS FOR REMOTE SENSING IMAGE DEHAZING WITH COLOR FEATURE RESTORATION

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International Journal of Innovative Computing, Information and control 2025年第2期21卷 323-338页

作者： Zhao, Liquan Qin, Yuqing Jia, Yanfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University No. 169 Changchun Road Jilin132012 China College of Electric and Information Engineering Beihua University No. 3999 Beijing Road Jilin132013 China

Remote sensing images are often affected by atmospheric factors such as haze during the acquisition process, resulting in blurring and low contrast in the collected remote sensing images. This problem impacts the image quality, thereby affecting the analysis of remote sensing images. To mitigate the impact of haze on remote sensing images, a generative adversarial network is proposed. It comprises a generative network and an adversarial network. Firstly, a novel feature extraction module is designed to enhance the capability of extracting useful information from remote sensing images. It enables the network to focus more on regions with dense haze, allowing it to extract more important information while filtering out irrelevant details. Secondly, a residual attention module is designed which can allocate different weights based on varying haze density in the feature map. This module readjusts features outputted by the encoder, facilitating better image restoration. Thirdly, a multi-scale module is also incorporated to extract feature information across various image scales. Lastly, a color feature extraction module is designed to extract color features. The novel feature extraction module, residual attention module, multi-scale module, and color feature extraction module are utilized for constructing the generative network. Besides, an adversarial network is also designed to indirectly enhance the dehazing capability of the generative network. Synthetic and real datasets are used to test six different methods for dehazing remote sensing images, respectively. The proposed method achieves higher PSNR, SSIM, and lower MSE on the synthetic remote sensing dataset. On the other hand, it achieves lower PIQE, BRISQUE, and higher MetaIQA on the real remote sensing dataset. The proposed method has best performance in dehazing remote sensing images than other methods. © 2025, Int. J. Innov. Comput. Inf. control. All rights reserved.

关键词： Generative adversarial networks

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Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2023年第9期9卷 1-16页

作者： Chu, Liang Hou, Zhuoran Jiang, Jingjing Yang, Jun Zhang, Yuanjian State Key Laboratory of Automotive Simulation and Control Jilin University No. 5988 Renmin Street Nanguan District Changchun China Department of Aeronautical and Automotive Engineering Loughborough University Leicestershire UK

Traffic condition prediction is crucial for executing traffic control and scheduling tasks within intelligent transportation systems. With diversified data sources, effectively modeling the complex spatial-temporal dependencies in the whole traffic network and predicting nonlinear general traffic condition changes become primary challenges for intelligent transportation systems. In this paper, a double-layer spatial-temporal feature extraction and evaluation (DL-STFEE) model is proposed, aimed at accurately predicting the traffic condition transferring of the whole traffic network. Firstly, a public traffic dataset is processed to extract the spatial and temporal features of vehicles, as well as the clusters of traffic conditions of the entire traffic network. Secondly, a double-layer deep learning traffic condition predictor is proposed. The model incorporates a spatial-temporal feature extraction layer, which leverages the graph convolution network (GCN) and attention mechanism to obtain spatiotemporal features across the whole traffic network. Additionally, a spatial-temporal combination layer employs a high-dimensional self-attention mechanism to integrate features across spatial-temporal combinations, bolstering prediction accuracy. Finally, through rigorous experiments, the contributions of neural network structures on the spatial-temporal feature extraction are comprehensively analyzed and the experiments also validate the effectiveness of traffic condition prediction by the proposed DL-STFEE model. IEEE

关键词： Feature extraction

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Model Predictive control Strategy of Multi-Port Interline DC Power Flow controller

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Energy Engineering 2023年第10期120卷 2251-2272页

作者： He Wang Xiangsheng Xu Guanye Shen Bian Jing Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Marketing Department State Grid Jilin Electric Power Co.Ltd.Changchun130061China

There are issues with flexible DC transmission system such as a lack of control freedom over power *** order to tackle these issues,a DC power flow controller(DCPFC)is incorporated into a multi-terminal,flexible DC power *** recent years,a multi-port DC power flow controller based on a modular multi-level converter has become a focal point of research due to its simple structure and robust *** work proposes a model predictive control(MPC)strategy for multi-port interline DC power flow controllers in order to improve their steady-state dynamic ***,the mathematical model of a multi-terminal DC power grid with a multi-port interline DC power flow controller is developed,and the relationship between each regulated variable and control variable is determined;The power flow controller is then discretized,and the cost function and weight factor are built with numerous control *** module sorting method and nearest level approximation modulation regulate the power flow controller;Lastly,theMATLAB/Simulink simulation platformis used to verify the correctness of the establishedmathematicalmodel and the control performance of the suggestedMPC ***,it is demonstrated that the control strategy possesses the benefits of robust dynamic performance,multiobjective control,and a simple structure.

关键词： DC power flow controller model predictive control modular multi-level converter control strategy dynamic performance

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Single-atom iron on semi-hollow carbon synthesized by chemical waste-vapor assistance: A superior catalyst for polychlorinated biphenyls degradation

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Nano Research 2025年第2期18卷 164-172页

作者： Bingqing Wang Xu Han Jiaqiang Sun Zhichao Yun Yonghai Jiang State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental SciencesBeijing 100012China Department of Chemistry National University of SingaporeSingapore 117543Singapore Anhui Basic Discipline Research Center for Clean Energy and Catalysis College of Chemistry and Materials ScienceAnhui Normal UniversityWuhu 241002China

Single-atom site catalysts(SACs)with high atom utilization efficiencies exhibit unexpected properties,making them ideal candidate catalysts for numerous ***,we report a chemical-waste-vapor-assisted(CWVA)strategy for the synthesis of a catalyst with single atom Fe on semi-hollow N-doped carbon(SA-Fe/SHNC).Benefitting from its atomic Fe sites,the prepared catalyst exhibited a 103-fold higher activity(0.827 vs.0.008mol_(PCB-209)·mol_(M)^(-1)·h^(-1))and much longer time-stability(more than 50 vs.0.5 h)than benchmarked Fe_(3)0_(4) nanoparticles toward decachlorobiphenyl(PCB-209)*** and density functional theory calculations revealed that the highly active isolated Fe sites are responsible for the activity of Fe-SAC/*** addition,the CWVA method was shown to be applicable for synthesizing other single atoms on various structured supports,thereby providing new opportunities for the design of various structured SACs for different applications.

关键词： single-atomic site catalyst chemical-waste-vapor Fe-N-C hollow structure polychlorinated biphenyls(PCBs)

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Stochastic Power Flow Distributed Algorithm for Distribution Network Based on Scenario Equivalence Between Regions

Stochastic Power Flow Distributed Algorithm for Distribution...

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2023 International Conference on Power system Technology, PowerCon 2023

作者： Jing, Zhibin Sun, Jiacheng Hao, Qianpeng Li, Qiang Ren, Jie Zhang, Ye Zhao, Hanjie Li, Junhui Li, Cuiping Inner Mongolia Power Company Limited Dispatch Control Branch Hohhot China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (纸本)9798350300222

A distributed stochastic power flow algorithm for distribution network based on inter-region scenario equivalence is proposed for the problem that the power injection of each node needs to be simulated with a large number of samples in the distribution network stochastic power flow algorithm, thus causing low computational efficiency. Firstly, the distribution network is divided into a backbone region and several sub-regions according to its radial structure characteristics, and the sampled power samples are partitioned;secondly, based on the inter-region power flow coupling relationship, the inter-region power flow action is replaced with the effect on the boundary quantity;then, a scenario equivalence method is proposed to merge the power scenarios that cause the same boundary injected power and boundary voltage. Finally, a distributed algorithm for distribution network stochastic currents is designed, and each region can complete the distributed solution of distribution network stochastic currents through the exchange of boundary equivalence scenario information and internal calculation, and the accuracy and effectiveness of the proposed method in reducing time are verified in the IEEE123 node system calculation example. © 2023 IEEE.

关键词： Electric power distribution

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A bio-inspired spider-like structure isolator for low-frequency vibration

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Applied Mathematics and Mechanics(English Edition) 2023年第8期44卷 1263-1286页

作者： Guangdong SUI Shuai HOU Xiaofan ZHANG Xiaobiao SHAN Chengwei HOU Henan SONG Weijie HOU Jianming LI State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China School of Astronautics Harbin Institute of TechnologyHarbin 150001China Yangtze River Delta HIT Robot Technology Research Institute Wuhu 241000Anhui ProvinceChina Tianjin Key Laboratory of Microgravity and Hypogravity Environment Simulation Technology Tianjin 300301China

This paper proposes a quasi-zero stiffness(QZS)isolator composed of a curved beam(as spider foot)and a linear spring(as spider muscle)inspired by the precise capturing ability of spiders in vibrating *** curved beam is simplified as an inclined horizontal spring,and a static analysis is carried out to explore the effects of different structural parameters on the stiffness performance of the QZS *** finite element simulation analysis verifies that the QZS isolator can significantly reduce the first-order natural frequency under the load in the QZS *** harmonic balance method(HBM)is used to explore the effects of the excitation amplitude,damping ratio,and stiffness coefficient on the system’s amplitude-frequency response and transmissibility performance,and the accuracy of the analytical results is verified by the fourth-order Runge-Kutta integral method(RK-4).The experimental data of the QZS isolator prototype are fitted to a ninth-degree polynomial,and the RK-4 can theoretically predict the experimental *** experimental results show that the QZS isolator has a lower initial isolation frequency and a wider isolation frequency bandwidth than the equivalent linear *** frequency sweep test of prototypes with different harmonic excitation amplitudes shows that the initial isolation frequency of the QZS isolator is 3 Hz,and it can isolate 90%of the excitation signal at 7 *** proposed biomimetic spider-like QZS isolator has high application prospects and can provide a reference for optimizing low-frequency or ultra-low-frequency isolators.

关键词： bionic isolation structure curved beam nonlinear stiffness quasi-zero stiffness(QzS) low-frequency vibration isolator

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Review of Crashworthiness Studies on Cellular Structures

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Automotive Innovation 2023年第3期6卷 379-403页

作者： Hongyu Liang Ying Zhao Shixian Chen Fangwu Ma Dengfeng Wang State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China College of Engineering and Technology Southwest UniversityChongqing 400715China Weichai Power Co. LtdWeifang 261061China

The application of lightweight structures with excellent energy absorption performance is crucial for enhancing vehicle safety and energy *** structures,inspired by the characteristics observed in natural organisms,have exhibited exceptional structural utilization in terms of energy absorption compared with traditional *** recent years,various innovative cellular structures have been proposed to meet different engineering needs,resulting in significant performance *** paper provides a comprehensive overview of novel cellular structures for energy absorption *** particular,it outlines the application forms and design concepts of cellular structures under typical loading conditions in vehicle collisions,including axial loading,oblique loading,bending loading,and blast *** structures have evolved to meet the demands of complex loading conditions and diverse research methods,focusing on achieving high-performance characteristics across multiple load ***,this review discusses manufacturing techniques and strate-gies for enhancing the manufacturing performance of cellular ***,current key challenges and future research directions for cellular structures are *** aim of this study is to provide valuable guidelines for researchers and engineers in the development of next-generation lightweight cellular structures.

关键词： Honeycomb Lattice structure Multi-cell tube Cellular structure filled tube Crashworthiness Multiple load cases

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