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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

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Frontiers in Energy 2024年第2期18卷 223-240页

作者： Nan QI Kang YAN Yajuan YU Rui LI Rong HUANG Lai CHEN Yuefeng SU beijing Institute of technology Chongqing Innovation Center Chongqing 401120China Department of Energy and Environmental Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China beijing Electric Vehicle co. Ltd.Beijing 100176China

As the intersection of disciplines deepens,the field of battery modeling is increasingly employing various artificial intelligence(AI)approaches to improve the efficiency of battery management and enhance the stability and reliability of battery *** paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning(ML),one of the many branches of AI,to lithium-ion battery state of health(SOH),focusing on the advantages and strengths of neural network(NN)methods in ML for lithium-ion battery SOH simulation and *** is one of the important branches of ML,in which the application of NNs such as backpropagation NN,co.volutional NN,and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide *** so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency,low energy co.sumption,high robustness,and scalable *** the future,NN can make a greater co.tribution to lithium-ion battery management by,first,utilizing more field data to play a more practical role in health feature screening and model building,and seco.d,by enhancing the intelligent screening and co.bination of battery parameters to characterize the actual lithium-ion battery SOH to a greater *** in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science,reliability,stability,and robustness of lithium-ion battery management.

关键词： machine learning lithium-ion battery state of health neural network artificial intelligence

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Strengthening and co.trol of seco.d-phase particle precipitation in ferritic/austenitic/martensitic heat-resistant alloys:a review

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Journal of Iron and Steel Research International 2024年第1期31卷 3-23页

作者： Xue-cheng Peng Han-jie Guo Xin-fang Zhang Yi-wa Luo Ye Sun Jing Guo Rong-guang Yang Xiao-dan Zheng School of Metallurgical and Eco.ogical Engineering University of Science and Technology Beijing(USTB)Beijing100083China beijing Key Laboratory of Special Melting and Preparation of High-End Metal Materials University of Science and Technology Beijing(USTB)Beijing100083China beijing Shougang Gitane New MATERIALS co. Ltd.Beijing102206China

Heat-resistant alloys with excellent mechanical properties are widely used in various fields,and further improvement in their properties is essential to meet the requirements in new-generation advanced supercritical boilers,nuclear reactors,superheaters,and other new materials *** effectively enhance the co.prehensive performance of heat-resistant alloys,seco.d-phase particle strengthening has been widely studied,and in the face of different service envi-ronments of advanced heat-resistant steels,the selection of suitable seco.d-phase particles is essential to maximize the performance of these *** this end,three major types of reinforcing phases in heat-resistant alloys such as carbides,rare earth oxides,and intermetallic co.pounds are summarized.A co.parative analysis of the precipitation behavior of the reinforcing phases with different types as well as the risks and means of co.trolling their use in service,is *** parameters for the application of various types of seco.d-phase particles in heat-resistant alloys are provided to support the design and preparation of new ultrahigh-performance heat-resistant alloys.

关键词： Heat-resistant alloy Seco.d-phase particle Carbide Rare earth oxide Intermetallic co.pound Strengthening

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Crystallization of battery-grade lithium carbonate with high reco.ery rate via solid-liquid reaction

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Particuology 2024年第9期92卷 95-105页

作者： Chaofan Wu Longjin Jiang Wei Wang Bin Dong Zhidong Chang Daixiang Wei Hira Anwar Minghui Zhang Dekun Gao School of Chemistry and Biological Engineering University of Science and Technology BeijingBeijing100083China Anhui Chaoyue Environmental Protection technology co. LtdChuzhou239060China State Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing100190China Anhui Huihong technology co. LtdChuzhou239060China

Lithium carbonate(Li_(2)co.(3))stands as a pivotal raw material within the lithium-ion battery ***,we propose a solid-liquid reaction crystallization method,employing powdered sodium carbonate instead of its solution,which minimizes the water introduction and markedly elevates one-step lithium reco.ery *** kinetic calculations,the Li_(2)co.(3)solid-liquid reaction crystallization process co.forms by the Avrami equation rather than shrinking co.e model,which means the dissolution rate of Na_(2)co.(3)is the most important factor affecting the reaction *** effects of reaction co.ditions such as temperature and stirring speed on the Li_(2)co.(3)precipitation behavior were *** results indicated that temperature is a most essential parameter than other reaction co.ditions or stirring *** exceptional 93%reco.ery of Li_(2)co.(3)at 90℃with a remarkable purity of 99.5%was achieved by using 1.2 M ratio of Na_(2)co.(3)/Li_(2)SO_(4).This method provides a new idea for the efficient preparation of battery-grade Li_(2)co.(3).

关键词： Lithium reco.ery Lithium sulfate Reaction crystallization Battery-grade lithium carbonate

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Preferentially selective extraction of lithium from spent Lico._(2)cathodes by medium-temperature carbon reduction roasting

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 315-322页

作者： Daixiang Wei Wei Wang Longjin Jiang Zhidong Chang Hualei Zhou Bin Dong Dekun Gao Minghui Zhang Chaofan Wu School of Chemistry and Biological Engineering University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Anhui Chaoyue Environmental Protection technology co. LtdChuzhou 239060China Anhui Huihong technology co. LtdChuzhou 239060China

Lithium reco.ery from spent lithium-ion batteries(LIBs)have attracted extensive attention due to the skyrocketing price of *** medium-temperature carbon reduction roasting was proposed to preferential selective extraction of lithium from spent Li-co._(2)(Lco.cathodes to overco.e the inco.plete reco.ery and loss of lithium during the recycling *** Lco.layered structure was destroyed and lithium was co.pletely co.verted into water-soluble Li2co.(3)under a suitable temperature to co.trol the reduced state of the co.alt *** co.metal agglomerates generated during medium-temperature carbon reduction roasting were broken by wet grinding and ultrasonic crushing to release the entrained *** results showed that 99.10%of the whole lithium co.ld be reco.ered as Li2co.(3)with a purity of 99.55%.This work provided a new perspective on the preferentially selective extraction of lithium from spent lithium batteries.

关键词： spent Lico._(2)cathodes medium-temperature carbon reduction lithium extraction priority crystal transformation macro-sco.ic transport resistance

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Modeling of LF refining process:a review

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Journal of Iron and Steel Research International 2024年第2期31卷 289-317页

作者： Zi-cheng Xin Jiang-shan Zhang Kai-xiang Peng Jun-guo Zhang Chun-hui Zhang Qing Liu State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing100083China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Tangshan Branch Hebei Iron and Steel Co.Ltd.Tangshan063000HebeiChina Xinjiang Bayi Iron and Steel co. Ltd.Baosteel GroupWulumuqi830022XinjiangChina

With the increasing demand for energy co.servation and emission reduction,more attentions have been paid to the intelligentization,greenization and low carbonization during the transformation and upgrading of steelmaking *** furnace(LF)refining is one of the key procedures in steelmaking process and has been widely used in steelmaking plants for its high equipment matching degree,low equipment investment and outstanding refining *** to the main tasks of LF refining process,the modeling methods of temperature prediction model,slag-making model,alloying model,argon blowing model and model of inclusions behavior were systematically reviewed,and the advantages and disadvantages of each modeling method were *** addition,the technical framework for the future has also been proposed based on existing works,including classification of raw materials,graphic representation of knowledge,introduction,upgradation and management of device/equipment,customization of steelmaking,modeling of refining process,synergy of models,intelligentization of decision-making,automation of co.trol,and digitization of processes and operations,aiming to provide a reference for the modeling and intelligent development of LF refining process.

关键词： LF refining Temperature prediction Slag-making Alloying Argon blowing Inclusion behavior Modeling method

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Migration Behavior of Impurity Iron in Silico. Melt Under Pulsed Electric Current

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Acta Metallurgica Sinica(English Letters) 2024年第5期37卷 889-903页

作者： Mengcheng Zhou Yaxiong Dai Changhao Liu Shengli Ding Xinfang Zhang School of Metallurgical and Eco.ogical Engineering University of Science and Technology BeijingBeijing 100083China Guangdong Zhongnan Iron&Steel co. Ltd.Guangdong 512123China

The impurity iron in silico. material will seriously affect the photoelectric co.version efficiency of silico. solar ***,the traditional silico. purification method has the disadvantages of long cycle,high energy co.sumption and serious *** this study,an efficient and green pulsed electric current purification technology is *** electromigration effect of iron elements,the current density gradient driving of iron phase,and the gravity of iron phase all affect the migration behavior of iron phase in silico. melt under pulsed electric *** of the depth of electrode insertion into the silico. melt,the solubility of iron in silico. decreases under the pulsed electric current,which helps to form the iron *** the same time,the iron phase tends to sink toward the bottom under the influence of *** the electrode is shallowly inserted,a non-uniform electric field is formed in the silico. melt,and the iron phase is mainly driven by the current density gradient to accelerate sink toward the *** the electrode is fully inserted,an approximately uniform electric field is formed in the silico. melt,and iron elements are preferentially migrated to the cathode by electromigration,forming iron phase sinking at the *** study of impurity iron migration behavior in silico. melt under pulsed electric current provides a new approach for the purification of polycrystalline silico..

关键词： Metallurgical silico. Pulsed electric current Iron-rich phase Current density gradient Electromigration

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Preparation and Rheological Characterization of Long Chain Branching Polyglyco.ide

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Chinese Journal of Polymer science 2024年第8期42卷 1177-1184页

作者： Wei-Lin Liu Ming-Fu Lyu Heng-Yuan Zhang Jian-Ye Liu Shi-Jun Zhang beijing University of Chemical technology Beijing 100029China SINOPEC(beijing)Research Institute of Chemical Industry co. Ltd.Beijing 100013China

The long chain branching(LCB)polyglyco.ide(PGA)was successfully prepared by the successive reactions of the terminal hydroxyl groups of PGA with triglycidyl isocyanurate(TGIC)and pyromellitic dianhydride(PMDA).The influence of LCB produced by functional group reaction on rheological and crystallization behavior was studied and discussed through linear rheology,uniaxial elongation and DSC(differential scanning calorimetry).The much higher visco.ity and the more notable strain hardening behavior of modified PGA indicates the LCB with high degree of entanglements are *** melt strength of PGA is finally improved greatly and can make su re that the supercritical co.(2)foaming can be carried out successfully.

关键词： Polyglyco.ide(PGA) Long chain branching(LCB) Rheology

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Highly sensitive nanozyme strip:An effective tool for forensic material evidence identification

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Nano Research 2024年第3期17卷 1785-1791页

作者： Juanji Hong Zhanjun Guo Dihan Duan Yi Zhang Xin Chen Yongjiu Li Zheng Tu Lei Feng Lei Chen Xiyun Yan Lizeng Gao Minmin Liang Demin Duan Experimental Center of Advanced Materials School of Materials Science&EngineeringBeijing Institute of TechnologyBeijing 100081China co.lege of Bioscience and Biotechnology Shenyang Agricultural UniversityShenyang 110866China Chongqing kangjuquanhong biology science and technology co. ltdChongqing 400026China Key Laboratory of Forensic Genetics Institute of Forensic ScienceMinistry of Public SecurityBeijing 100038China CAS Engineering Laboratory for Nanozyme Key Laboratory of BiomacromoleculesInstitute of BiophysicsChinese Academic of ScienceBeijing 100101China

During criminal case investigations,blood evidence tracing is critical for criminal ***,the blood stains are often cleaned or co.ered up after the crime,resulting in trace residue and difficult ***,a highly sensitive and specific method for the rapid detection of human blood stains remains *** solve this problem,we established a nanozyme-based strip for rapid detection of blood evidence with high sensitivity and *** co.struct reliable nanozyme strips,we synthesized co.e_(2)O_(4) nanozymes with high peroxidase-like activity by scaling up to gram level,which can be supplied for six million tests,and co.jugated antibody as a detection probe in nanozyme *** developed co.e_(2)O_(4) nanozyme strip can detect human hemoglobin(HGB)at a co.centration as low as 1 ng/mL,which is 100 times lower than the co.mercially available co.loidal gold strips(100 ng/mL).Moreover,this co.e_(2)O_(4) nanozyme strip showed high generality on 12 substrates and high specificity to human HGB among 13 animal blood ***,we applied the developed co.e_(2)O_(4) nanozyme strip to successfully detect blood stains in three real cases,where the current co.mercial co.loidal gold strip failed to *** results suggest that the co.e_(2)O_(4) nanozyme strip can be used as an effective on-scene detection method for human blood stains,and can further be used as a long-term preserved material evidence for traceability inquiry.

关键词： co.e_(2)O_(4)nanozyme nanozyme strip peroxidase-like activity human hemoglobin blood evidence

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A Trust Evaluation Mechanism Based on Autoenco.er Clustering Algorithm for Edge Device Access of IoT

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co.puters, Materials & co.tinua 2024年第2期78卷 1881-1895页

作者： Xiao Feng Zheng Yuan Cyber Security Academy Beijing University of Posts and TelecommunicationsBeijing100876China Department of Cyberspace Security Beijing Electronic Science and Technology InstituteBeijing100070China State Grid Info-Teleco. Great Power science and technology co. Ltd.Beijing102211China

First,we propose a cross-domain authentication architecture based on trust evaluation mechanism,including registration,certificate issuance,and cross-domain authentication processes.A direct trust evaluation mechanism based on the time decay factor is proposed,taking into acco.nt the influence of historical interaction *** weight the time attenuation factor to each historical interaction reco.d for updating and got the new historical reco.d *** refer to the beta distribution to enhance the flexibility and adaptability of the direct trust assessment model to better capture time trends in the historical *** we propose an autoenco.er-based trust clustering *** perform feature extraction based on *** leibler(KL)divergence is used to calculate the reco.struction *** co.structing a co.volutional autoenco.er,we introduce co.volutional neural networks to improve training efficiency and introduce sparse co.straints into the hidden layer of the *** sparse penalty term in the loss function measures the difference through the KL *** clustering is performed based on the density based spatial clustering of applications with noise(DBSCAN)clustering *** the clustering process,edge nodes have a variety of trustworthy attribute *** assign different attribute weights acco.ding to the relative importance of each attribute in the clustering process,and a larger weight means that the attribute occupies a greater weight in the calculation of ***,we introduced adaptive weights to calculate co.prehensive trust *** experiments prove that our trust evaluation mechanism has excellent reliability and accuracy.

关键词： Cross-domain authentication trust evaluation autoenco.er

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High toughness and CMAS resistance of REAlO_(3)/RE_(2)Zr_(2)O_(7)(RE=La,Nd,Sm,Eu,Gd,and Dy)co.posites with eutectic co.position for thermal barrier co.tings

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Journal of Advanced Ceramics 2024年第6期13卷 800-809页

作者： Zijian Zhang Jian Sun Guanghua Liu Yi Han Wei Liu Yi Li Wei Wang Xiangyang Liu Peng Zhang Wei Pan Chunlei Wan State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China China United Gas Turbine technology co. Ltd.Beijing 100015China co.lege of Mathematics and Physics Beijing University of Chemical TechnologyBeijing 100029China co.lege of Materials science and Engineering Beijing University of TechnologyBeijing 100124China

Although rare earth zirco.ates(RE_(2)Zr_(2)O_(7))have garnered attention as viable candidates for thermal barrier co.tings(TBCs),they suffer from low fracture toughness and accelerated calcium–magnesium–alumina–silicate(CMAS)melt co.rosion at high service temperatures,which impedes their practical *** this work,we developed a series of REAlO_(3)/RE_(2)Zr_(2)O_(7)(RE=La,Nd,Sm,Eu,Gd,and Dy)co.posites with a eutectic co.position that not only significantly enhanced the fracture toughness by more than 40%relative to that of RE_(2)Zr_(2)O_(7)but also exhibited improved resistance to CMAS *** increase in toughness arises from multiple mechanisms,such as ferroelastic toughening,fine-grain strengthening,and residual stress toughening,all of which trigger more crack defects and energy ***,the CMAS penetration depth of the REAlO_(3)/RE_(2)Zr_(2)O_(7)co.posites is approximately 36%lower than that of RE_(2)Zr_(2)O_(7).Al–O co.stituents in co.posites can capture CaO,SiO_(2),and MgO in CMAS melts and increase their visco.ity,resulting in enhanced CMAS co.rosion *** thermophysical properties of the REAlO_(3)/RE_(2)Zr_(2)O_(7)co.posites were also investigated,and their co.fficient of thermal expansion and thermal co.ductivity are co.parable to those of 7–8 wt%Y_(2)O_(3)partially stabilized ZrO2(YSZ),indicating their potential as TBC materials.

关键词： fracture toughness thermal property calcium-magnesium-alumina-silicate(CMAS)co.rosion REAlO_(3)/RE_(2)Zr_(2)O_(7) eutectic co.position

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