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Strategies for improving the performance of practical Li‐ CO_(2) battery

Electron 2025年第1期3卷 1-39页

作者： Kaige Zhu Shuai Yin Feiyue Zhai Dezhi Yan Diyin Tang Yalan Xing Shichao Zhang School of Materials Science and Engineering Beihang UniversityBeijingChina School of Automation Science and Electrical Engineering Beihang UniversityBeijingChina

The Li‐CO_(2) battery represented an enticing energy storage/output system characterized by its high‐specific energy capacity and simultaneously achieving CO_(2) fixation and conversion,which held significant promise in mitigating global warming and advancing toward carbon ***,the current Li‐CO_(2) battery's practical capacity and energy efficiency lagged behind traditional lithium‐ion battery considerably,posing great challenges for practical applications and *** review comprehensively summarized recent advancements and prospective strategies aimed at enhancing the effectiveness of practical Li‐CO_(2) battery,encompassing insights into the cycling reaction mecha-nisms,anode electrode protection,key interface optimization,electrolyte design,and cathode catalyst ***,insights into the prospects and key obstacles that lay ahead in advancing the Li‐CO_(2) battery toward practical applications were provided.

关键词： cathode catalyst discharge-charge mechanism electrolyte Li‐CO_(2)battery lithium anode

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The Ce-modified biochar for efficient removal of methylene blue dye:Kinetics,isotherms and reusability studies

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Chinese Journal of Chemical engineering 2025年第1期77卷 57-65页

作者： Shuaishuai Zhang Xinan Sun Qingwen Luo Lin Chi Peng Sun Lianke Zhang School of Energy and Environment Inner Mongolia University of Science and TechnologyBaotou 014010China School of Automation and Electrical Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China

Exploring modification methods for enhancing the adsorption performance of biochar-based adsorbents for effective removal of methylene blue(MB),biochar-loaded CeO_(2)nanoparticles(Ce/BC)were synthesized by pomelo peels through co-precipitation combined with the pyrolysis ***/BC showed a higher specific surface area and disorder degree than that of *** 0.5Ce/BC(mass ratio of Ce(NO_(3))_(3)·6H_(2)O/BC=0.5/1)showed the best performance to adsorption of MB solution at different reaction conditions(MB concentration,Ce/BC composites dosage,and initial pH).Adsorption kinetics and equilibrium isotherms were well-described with a pseudo-first-order equation and Langmuir model,*** addition,the maximum adsorption capacity of 0.5Ce/BC for MB was 105.68 mg·g^(-1)at 328 *** strong adsorption was attributed to multi-interactions including pore filling,π-πinteractions,electrostatic interaction,and hydrogen bonding between the composites and *** work demonstrated that the modified pomelo peels biochar,as a green promising material with cost-effectiveness,exhibited a great potential for broad application prospectively to dyeing-contaminated wastewater treatment.

关键词： CeO_(2) Biochar Methylene blue Adsorption Stability

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Unveiling the growth and morphological transition mechanisms of Al2Cu intermetallic compounds quantified by synchrotron X-ray tomography

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材料科学技术（英文版） 2025年第6期209卷 43-54页

作者： Zongye Ding Liao Yu Naifang Zhang Wenquan Lu Jianguo Li Qiaodan Hu Shanghai Key Laboratory of Materials Laser Processing and Modification School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Mechatronic Engineering and Automation Foshan UniversityGuangdong 528225China Shanghai Key Laboratory of Materials Laser Processing and Modification School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Controlling the morphology of Al2Cu intermetallic compounds(IMCs)has been of importance to enhance the properties of Al-based ***,the quantification of Al2Cu IMCs with diversified morphologies is still lacking,and the morphological evolution of Al2Cu dendrites remains poorly *** synchrotron X-ray tomography,we have directly quantified the morphological evolution of proeutectic Al2Cu IMCs in directionally solidified Al-Cu *** three-dimensional(3D)morphologies of Al2Cu IMCs under different growth rates were quantified using volume,specific surface area,interconnectivity,tortuosity,and Gaussian *** faceted morphology under slow growth rate was divided into three different types,including single hollow prism,irregular prism lacking partial faces,and coalesced prism consisting of two adjacent *** morphological transition from faceted prism to non-faceted algae-like,irregular tree-like,and typically dendritic shapes with increasing growth rates was determined,reflecting the growth modes varied from lateral mode to intermediary and continuous *** non-faceted Al2Cu dendrite had one primary stem,three groups of secondary arms,and a faceted *** angles between secondary arms were 120°,and the tip consisted of(011)and(01(1))*** work provides a deep understanding of the formation and growth of complex IMCs in metallic alloys.

关键词： Proeutectic Al2Cu intermetallic Synchrotron tomography Directional solidification 3-D morphology

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Highly Integrated Hybrid Inductive and Capacitive Power Transfer System with Asymmetrical Printed-Circuit-Board-Based Self-Resonator

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IEEE Transactions on Power Electronics 2025年第7期40卷 10254-10264页

作者： Wang, Yao Yang, Junxiang Wang, Kaiyuan Yang, Yun School of Automation Northwestern Polytechnical University Xi'an710064 China School of Electronic and Electrical Engineering Nanyang Technological University 639798 Singapore

This article presents a highly integrated and compact hybrid wireless power transfer (WPT) system with asymmetrical printed-circuit-board (PCB) based self-resonators. The PCB-based self-resonant coupler consists of four PCB-coil plates with two different sizes, which can work as the transmitter/receiver for inductive power transfer as well as the capacitive plates for capacitive power transfer. With a typical stacked four-plate configuration, both inductive and capacitive mutual couplings are achieved between transmitter and receiver, contributing to a highly compact and integrated self-resonant hybrid WPT system without any external compensation components. Detailed theoretical analysis and system modeling are provided based on the two-port parameter theory and a 300 W hybrid WPT prototype is implemented with an asymmetrical coupler consisting of 210 and 140 mm PCB-coil plates. The implemented hybrid WPT system is tested at 80, 60, 37, and 12 mm with self-resonant working frequencies of 3.845, 3.75, 3.57, and 3.19 MHz, respectively, and the system performance in terms of output current property, power transfer capability, dc-dc efficiency, and misalignment tolerance are evaluated in details, which demonstrate a peak dc-dc efficiency of 87.3% with 155.7 W at 12 mm and 86.7% with 237.5 W at 37 mm, validating the effectiveness of the designed hybrid WPT system. © 1986-2012 IEEE.

关键词： Transmitters

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Gait Recognition Under Different Clothing Conditions Via Deterministic Learning

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1530-1532页

作者： Muqing Deng Cong Wang School of Automation Guangdong University of TechnologyGuangzhou 510006China School of Control Science and Engineering Shandong UniversityJinan 250100China

Dear Editor,This letter deals with the robustness problem of gait recognition method against maximum number of clothing *** selecting four kinds of time-varying silhouette features,gait dynamics underlying different individuals’gait features is effectively modeled by radial basis function(RBF)neural networks through deterministic *** kind of dynamics information has little sensitivity to the variance between gait patterns under different clothing *** order to eliminate the effect of clothing differences,the training patterns under different clothing conditions further constitute a uniform training dataset,containing all kinds of gait dynamics under different clothing conditions.A rapid recognition scheme is presented on published gait *** experiments demonstrate the efficacy of the proposed method.

关键词： networks neural individual

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Low-Dimensional Equivalent Models and Multithreading-Based Parallel EMT Simulation Method for Multi-Converter Systems

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IEEE Transactions on Energy Conversion 2025年第1期40卷 437-452页

作者： Xu, Mingwang Gu, Wei Cao, Yang Chen, Shuaixian Zhang, Fei Liu, Wei Southeast University School of Electrical Engineering Nanjing210096 China Nanjing University of Science and Technology School of Automation Nanjing210094 China

As the proportion of renewable energy generation in the grid increases, the number of voltage source converters (VSCs) has grown significantly. It is therefore of great importance to study the multi-VSC systems using electromagnetic transient (EMT) simulation. This paper presents a novel approach to modeling multi-VSC circuits, comprising EMT low-dimensional equivalent models and a multithreading-based parallel simulation method. The decoupling between the VSC from the AC grid is initially achieved through the adoption of semi-implicit hybrid integration. This is followed by the synthesis of the equivalent circuit for each phase, which results in the derivation of low-dimensional equivalent models of multi-VSC circuits. In addition, a parallel simulation algorithm for the VSC is proposed, which enables parallel solution and the update of internal/external node voltages and historical current sources. Subsequently, the design and implementation of the parallel algorithm is achieved by means of an OpenMP-based simulation framework. Furthermore, a physical experimental platform is established. The simulation results demonstrate that the proposed model is capable of achieving more than 80 times acceleration in serial mode due to the decoupling and low-dimension when applied in a grid-connected 100-megawatt photovoltaic power station (PVPS), and can obtain 2-3 times secondary acceleration in parallel mode with almost uncompromising accuracy. © 1986-2012 IEEE.

关键词： Equivalent circuits

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Microstructure Characteristics and Elevated Temperature Mechanical Properties of a B Containedβ-solidifiedγ-TiAl Alloy

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Journal of Wuhan University of Technology(Materials Science) 2024年第3期39卷 738-746页

作者：王秀琦 GUO Ruiqi 刘国怀 LI Tianrui YANG Yuxuan CHEN Yang XIN Meiling WANG Zhaodong State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China School of Materials Science and Engineering Harbin Institute of Technology at ShenzhenShenzhen 518055China School of Metallurgical Engineering Anhui University of TechnologyMaanshan 243000China

The improved microstructure and enhanced elevated temperature mechanical properties of Ti-44Al-5Nb-(Mo,V,B)alloys were obtained by vacuum arc re-melting(VAR)and primary annealing heat treatment(HT)of 1260℃/6 h/Furnace cooling(FC).The phase transformation,microstructure evolution and tensile properties for as-cast and HTed alloys were *** indicate that three main phase transformation points are determined,T_(eut)=1164.3℃,T_(γsolv)=1268.3℃and T_(βtrans)=1382.8℃.There are coarse lamellar colonies(300μm in length)and neighbor reticular B2 andγgrain(3-5μm)in as-cast alloy,while lamellar colonies are markedly refined and multi-oriented(20-50μm)as well as the volume fraction and grain sizes of equiaxedγand B2 phases(about 15μm)significantly increase in as-HTed *** transformations involvingα+γ→α+γ+β/B2 and discontinuousγcoarsening contribute to the above ***(1-3μm)act as nucleation sites forβ_(eutectic) and produce massiveβgrains with different orientations,thus effectively refining the lamellar colonies and forming homogeneous multi-phase *** curves show both the alloys exhibit suitable performance at 800℃.As-cast alloy shows a higher ultimate tensile stress of 647 MPa,while a better total elongation of more than 41%is obtained for as-HTed *** mechanical properties improvement is mainly attributed to fine,multi-oriented lamellar colonies,coordinated deformation of homogeneous multi-phase microstructure and borides within lamellar interface preventing crack propagation.

关键词： TiAl alloy phase transformation heat treatment boride microstructure mechanical properties

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Short-Term Power Load Forecasting Method Based on GRU-Transformer Combined Neural Network Model

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Journal of Computing and Information Technology 2024年第1期32卷 1-14页

作者： Mao, Weiwei Yu, Suping Chen, Wenqing College of Computer and Information Engineering Luoyang Institute of Science and Technology Luoyang China School of Electrical Engineering and Automation Luoyang Institute of Technology Luoyang China

Load Forecast (LF) is an important task in the planning, control and application of public power systems. Accurate Short Term Load Forecast (STLF) is the premise of safe and economical operation of a power system. In the research of short-term power load forecasting, machine learning and deep learning are the most popular methods at present, but there still exists a problem that the single and simple structure of power load forecasting model leads to low accuracy of load forecasting. In order to improve the accuracy of STLF, a Gated Cycle Unit (GRU)-Transformer combined neural network model is proposed. Transformer encoder structure is used as feature extractor to mine the complex mapping relationships between the input features and load. The advantage of self-attention mechanism is used to solve the problem of information loss of long sequences in short-term power load forecasting. At the same time, the multivariate time series model of GRU is used for model training. The experimental results on the power load data set of a certain region in southwest China and Panama City show that the proposed combined model prediction method has higher accuracy than those proposed in other literatures, which further proves its feasibility and superiority. © 2024, University of Zagreb Faculty of Electrical engineering and Computing. All rights reserved.

关键词： Neural network models

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Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 13-28页

作者： Tianyun Zhang Jun Zhang Feiyue Wang Peidong Xu Tianlu Gao Haoran Zhang Ruiqi Si School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072HubeiChina State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China

In artificial intelligence(AI)based-complex power system management and control technology,one of the urgent tasks is to evaluate AI intelligence and invent a way of autonomous intelligence ***,there is,currently,nearly no standard technical framework for objective and quantitative intelligence *** this article,based on a parallel system framework,a method is established to objectively and quantitatively assess the intelligence level of an AI agent for active power corrective control of modern power systems,by resorting to human intelligence evaluation *** this basis,this article puts forward an AI self-evolution method based on intelligence assessment through embedding a quantitative intelligence assessment method into automated reinforcement learning(AutoRL)systems.A parallel system based quantitative assessment and self-evolution(PLASE)system for power grid corrective control AI is thereby constructed,taking Bayesian Optimization as the measure of AI evolution to fulfill autonomous evolution of AI under guidance of their intelligence assessment *** results exemplified in the power grid corrective control AI agent show the PLASE system can reliably and quantitatively assess the intelligence level of the power grid corrective control agent,and it could promote evolution of the power grid corrective control agent under guidance of intelligence assessment results,effectively,as well as intuitively improving its intelligence level through selfevolution.

关键词： AI quantitative intelligence assessment and self-evolution automated reinforcement learning Bayesian optimization corrective control parallel system

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Predefined-time distributed multiobjective optimization for network resource allocation

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Science China(Information Sciences) 2023年第7期66卷 58-72页

作者： Kunpeng ZHANG Lei XU Xinlei YI Zhengtao DING Karl H.JOHANSSON Tianyou CHAI Tao YANG State Key Laboratory of Synthetical Automation for Process Industries Northeastern University School of Electrical Engineering and Computer Science KTH Royal Institute of Technology School of Electrical and Electronic Engineering The University of Manchester

We consider the multiobjective optimization problem for the resource allocation of the multiagent network, where each agent contains multiple conflicting local objective functions. The goal is to find compromise solutions minimizing all local objective functions subject to resource constraints as much as possible, i.e., the Pareto optimums. To this end, we first reformulate the multiobjective optimization problem into one single-objective distributed optimization problem by using the weighted Lppreference index,where the weighting factors of all local objective functions are obtained from the optimization procedure so that the optimizer of the latter is the desired Pareto optimum of the former. Next, we propose novel predefined-time algorithms to solve the reformulated problem by time-based generators. We show that the reformulated problem is solved within a predefined time if the local objective functions are strongly convex and smooth. Moreover, the settling time can be arbitrarily preset since it does not depend on the initial values and designed parameters. Finally, numerical simulations are presented to illustrate the effectiveness of the proposed algorithms.

关键词： distributed optimization multiobjective optimization predefined-time algorithms time-based generators weighted ${L_p}$ preference index

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