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Roadmap for rechargeable batteries:present and beyond

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Science china Chemistry 2024年第1期67卷 13-42页

作者： Sen Xin Xu Zhang Lin Wang Haijun Yu Xin Chang Yu-Ming Zhao Qinghai Meng Pan Xu Chen-Zi Zhao Jiahang Chen Huichao Lu Xirui Kong Jiulin Wang Kai Chen Gang Huang Xinbo Zhang Yu Su Yao Xiao Shu-Lei Chou Shilin Zhang Zaiping Guo Aobing Du Guanglei Cui Gaojing Yang Qing Zhao Liubing Dong Dong Zhou Feiyu Kang Hu Hong Chunyi Zhi Zhizhang Yuan Xianfeng Li Yifei Mo Yizhou Zhu Dongfang Yu Xincheng Lei Jianxiong Zhao Jiayi Wang Dong Su Yu-Guo Guo Qiang Zhang Jun Chen Li-Jun Wan CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular SciencesBeijing National Laboratory for Molecular Sciences(BNLMS)Institute of ChemistryChinese Academy of Sciences(CAS)Beijing 100190China University of Chinese Academy of Sciences.Beijing 100049 China Institute of Advanced Battery Materials and Devices Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Key Laboratory of Advanced Functional Materials Ministry of EducationBeijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Chemistry and Utilization of Carbon-Based Energy resources College of ChemistryXinjiang UniversityUrumqi 830046China Department of Chemical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Rare Earth resource Utilization Changchun Institute of Applied ChemistryChangchun 130022China Institute for Carbon Neutralization College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China School of Chemical Engineering and Advanced Materials The University of AdelaideAdelaide 5000Australia Qingdao Industrial Energy Storage Research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101China Frontiers Science Center for New Organic Matter Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education)College of ChemistryNankai UniversityTianjin 300071China college of Chemistry and Materials Science Jinan UniversityGuangzhou 511443China Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Department of Materials Science and Engineering City University of Hong KongHong Kong 999077China Division of Energy Storage Dalian National Laboratory for Clean Energy(DNL)Dalian Institute of Chem

Rechargeable batteries currently hold the largest share of the electrochemical energy storage market,and they play a major role in the sustainable energy transition and industrial decarbonization to respond to global climate *** to the increased popularity of consumer electronics and electric vehicles,lithium-ion batteries have quickly become the most successful rechargeable batteries in the past three decades,yet growing demands in diversified application scenarios call for new types of rechargeable *** efforts are made to developing the next-generation post-Li-ion rechargeable batteries,which include,but are not limited to solid-state batteries,lithium–sulfur batteries,sodium-/potassium-ion batteries,organic batteries,magnesium-/zinc-ion batteries,aqueous batteries and flow *** the great achievements,challenges persist in precise understandings about the electrochemical reaction and charge transfer process,and optimal design of key materials and interfaces in a *** roadmap tends to provide an overview about the current research progress,key challenges and future prospects of various types of rechargeable *** computational methods for materials development,and characterization techniques will also be discussed as they play an important role in battery research.

关键词： energy storage rechargeable batteries battery materials electrochemistry

Prediction based dynamic resource allocation method for edge computing first networking

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The Journal of china Universities of Posts and Telecommunications 2023年第3期30卷 78-87页

作者： Zhang Luying Liu Xiaokai Li Zhao Xu Fangmin Zhao Chenglin School of Information and communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Wulian Zhitong Technology corporation Beijing 100041China StateGrid Liaoning electric power Supply co. Ltd.Shenyang 110004China

Aiming at the factory with high-complex and multi-terminal in the industrial Internet of things(IIoT),a hierarchical edge networking collaboration(HENC)framework based on the cloud-edge collaboration and computing first networking(CFN)is proposed to improve the capability of task processing with fixed computing resources on the edge *** optimize the delay and energy consumption in HENC,a multi-objective optimization(MOO)problem is ***,to improve the efficiency and reliability of the system,a resource prediction model based on ridge regression(RR)is proposed to forecast the task size of the next time slot,and an emergency-aware(EA)computing resource allocation algorithm is proposed to reallocate tasks in edge *** on the simulation result,the EA algorithm is superior to the greedy resource allocation in time delay,energy consumption,quality of service(QoS)especially with limited computing resources.

关键词： cloud-edge collaboration computing first networking(CFN) computing resource allocation multi-objective optimization(MOO)

Simulation of Evapotranspiration Based on BEPS-TerrainLab V2.0 from 1990 to 2018 in the Dajiuhu Basin

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Chinese Geographical Science 2020年第6期30卷 1095-1110页

作者： WU Zongfan ZHANG Lihua LIU Dandan ZHANG Kang ZHU Zhiru FU Yasheng MA Yongming Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information Engineerings China University of GeosciencesWuhan 430074China Guizhou electric power Design Research Institute co. Ltd.Power Construction Corporation of ChinaGuiyang 550002China School of Earth Sciences China University of GeosciencesWuhan 430074China

Accurate estimations of evapotranspiration(ET)are essential for understanding land-atmosphere coupling and atmosphere-underlying surface energy and water vapor *** on input data processing,this paper simulates the temporal and spatial variation of ET in the Dajiuhu Basin from 1990 to 2018 using the BEPS-Terrain Lab V2.0 *** with the ET measured by an eddy covariance(EC)tower,the model explained 80.1%of the ET *** 1990 to 2018,the average annual ET in the Dajiuhu Basin was 1262.7 mm/yr indicating a downward trend(–27.12 mm/yr).In 2005,a sudden change point was observed based on the Mann-Kendall(MK)test and 3-year moving *** 2005,the downward trend in ET slowed and the proportional trend of ET to precipitation changed from upward trend to downward *** spatial distribution,the ET in the basin’s central part was smaller than that in the basin’s surrounding area,the ET of the southern slope was higher than that of the northern slope,and the decrease in the ET rate on the sunny side was lower than that on the shady *** decreased as the elevation increased,with the fastest decrease observed between 2184 and 2384 *** different landcover types,the average ET exhibited the following order:deciduous forest>mixed forest>wetland>grass>agriculture *** solar radiation is the main reason for the decreased ET in the Dajiuhu Basin,followed by increased wind speed and relative humidity,which together contribute 83.9%to the ET *** paper provides a theoretical basis for the study of ET changes and the mechanism of ET and provides a decision-making reference for water resource management in the Dajiuhu Basin and even the South-to-North Water Transfer Project.

关键词： evapotranspiration spatiotemporal pattern BEPS-TerrainLab V2.0 environmental factor Dajiuhu Basin

Mapping three-dimensional co-seismic surface deformations associated with the 2015 MW7.2 Murghab earthquake based on InSAR and characteristics of crustal strain

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Science china Earth Sciences 2018年第10期61卷 1451-1466页

作者： Jie GAN Jun HU Zhiwei LI Changjiang YANG Jihong LIU Qian SUN Wanji ZHENG School of Geosciences and Info-physics Central South UniversityChangsha 410083 China Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Central South University) Ministry of Education Changsha 410083 China Hunan Spatio Map Information Technology Limited company Changsha 410082 China Central Southern china electric power Design Institute of china power Engineering consulting Group corporation Wuhan 430060 China college of resources and Environmental Science Hunan Normal UniversityChangsha 410081 China

Three-dimensional(3 D) co-seismic surface deformations are of great importance to interpret the characteristics of coseismic deformations and to understand the geometries and dynamics of seismogenic faults. In this paper, we propose a method for mapping 3 D co-seismic deformations based on InSAR observations and crustal strain characteristics. In addition, the search strategy of correlation points is optimized by adaptive correlation distance, which greatly improves the applicability of the proposed method in restoring deformations in decorrelation areas. Results of the simulation experiment reveal that the proposed method is superior to conventional methods in both the accuracy and completeness. The proposed method is then applied to map the 3 D co-seismic surface deformations associated with the 2015 MW7.2 Murghab earthquake using ascending and descending ALOS-2 PALSAR-2 images. The results show that the seismogenic fault is the Sarez-Karakul fault(SKF), which is dominated by NE-SW strike slips with an almost vertical dip angle. The north section and the south segment near the epicentre have obvious subsidence along with a southwestward motion in the northwest wall, and the southeast wall has northeast movement and surface uplift trend along the fault zone. The strain field of the earthquake is also obtained by the proposed method. It is found that the crustal block of the seismic area is obviously affected by dilatation and shear forces, which is in good agreement with the movement character of the sinistral slip.

关键词： InSAR Characteristics of crustal strain Three-dimensional co-seismic deformations Murghab earthquake,ALOS-2