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Physics-informed battery degradation prediction:Forecasting charging curves using one-cycle data

Journal of Energy Chemistry 2025年第2期101卷 825-836,I0018页

作者： Aihua Tang Yuchen Xu Jinpeng Tian Xing Shu Quanqing Yu Key Laboratory of Advanced Manufacturing technology for Automobile Parts Ministry of EducationChongqing University of TechnologyChongqing 400054China department of Electrical and Electronic engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 9997China School of automotive engineering Harbin Institute of TechnologyWeihai 264209ShandongChina

Accurately predicting battery degradation is crucial for battery system ***,due to the complexities of aging mechanisms and limitations of historical data,comprehensively indicating battery degradation solely through maximum capacity loss assessment is *** machine learning offers promising solutions,it often overlooks domain knowledge,resulting in reduced accu racy,increased computational burden and decreased ***,this study proposes a method to predict the voltage-capacity(V-Q) curve during battery degradation with limited historical *** process is achieved through two physically interpretable components:a lightweight interpretable physical model and a physics-informed neural *** components incorporate domain knowledge into machine learning to improve V-Q curve prediction performance and enhance *** validation was conducted on 52 batteries of different types under different testing *** proposed method can accurately predict future *** for hundreds of cycles using only one-present-cycle V-Q curve,with root mean square error and mean absolute error basically less than 0.035 Ah and R^(2) basically less than 98.5%.This means that incremental capacity curves can be extracted from the predicted results for a more comprehensive and accurate battery degradation ***,the method can flexibly adjust prediction length and density to cater to the practical needs of long-cycle prediction and data *** study provides a viable method for rapid degradation prediction and is expected to be generalized to in-vehicle implementations.

关键词： battery prediction curves

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Guest Editorial Special Issue on Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems

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Computers, Materials & Continua 2025年第2期82卷 3609-3613页

作者： Jipu Li Haidong Shao Yun Kong Zhuyun Chen department of Industrial and Systems engineering The Hong Kong Polytechnic UniversityHong KongChina College of Mechanical and Vehicle engineering Hunan UniversityChangsha410082China School of Mechanical engineering Beijing Institute of TechnologyBeijing100081China Mechanical and automotive engineering South China University of TechnologyGuangzhou510006China

1 Introduction In recent years,the rapid development of industrial big data and artificial intelligence(AI)technologies has revolutionized the industrial *** systems,such as manufacturing,energy,transportation,and logistics,have become increasingly complex,generating vast amounts of data[1–3].These big data encompass a wide range of data sources,including sensor data,production logs,and maintenance records,which hold valuable insights[4–6].Moreover,machine learning-based AI techniques can be applied to extract meaningful insights from this big data[7].

关键词： meaningful generating artificial

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Dual-defect engineering of catalytic cathode materials for advanced lithium-sulfur batteries

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Chinese Chemical Letters 2025年第3期36卷 504-510页

作者： Na Li Wenxue Wang Peng Wang Zhanying Sun Xinlong Tian Xiaodong Shi Hebei Key Laboratory of Flexible Functional Materials School of Materials Science and EngineeringHebei University of Science and Technology School of marine Science and engineering State Key Laboratory of Marine Resource Utilization in South China SeaHainan University

Sluggish conversion reaction kinetics and spontaneous shuttle effect of lithium polysulfides （Li PSs） are deemed as the two big mountains that hinder the practical application of lithium-sulfur batteries （LSBs）.Herein,dual-defect engineering strategy is implemented by introducing boron-doping and phosphorusvacancy sites with MoP@NC composite as the *** on the experimental characterizations and theoretical calculations,B-Mo P1-x@NC-based electrode presents low oxidation potential,high lithium diffusivity,small Tafel slope and strong adsorption capability for polysulfides,which is beneficial to enhance the adsorption capability for Li PSs,reduce the lithium diffusion energy barriers and Gibbs free energy for the conversion reactions of *** demonstrated,the corresponding Li-S/B-MoP1-x@NC batteries can remain high reversible capacity of 753 m Ah/g at 0.5 C after 300 cycles,and keep a stable capacity of 520mAh/g at 0.5 C after 100 cycles even at the high-loading content of 5.1 mg/*** to the results of in-situ UV–vis spectra,the satisfactory battery performance majorly originates from the existence of dual-defect characteristics in B-MoP1-x@NC catalyst,which effectively promotes the conversion reaction kinetics of Li PSs,and restrains the shuttle behavior of Li *** key ideas of this work will enlighten the development of catalytic cathode materials for sulfur-based secondary batteries.

关键词： Boron doping Catalytic cathode materials Dual-defect engineering Lithium-sulfur batteries Phosphorus vacancy

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Ferulic acid alleviates long-term avermectin-induced damage to the spleen of carp and restores its inflammatory response and oxidative balance

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Journal of Environmental Sciences 2025年第5期151卷 616-626页

作者： Hanyu Wang Shenye Feng Enzhuang Pan Xiaomeng Ji Mengyuan Zhou Shuai Zhang Baoshi Xu Huimiao Feng Jilei Yin Zibo Dong Jiangsu Key Laboratory of marine Bioresources and Environment Co-Innovation Center of Jiangsu Marine Bio-industry TechnologyJiangsu Marine Pharmaceutical Resources Development Engineering Research CenterJiangsu Key Laboratory of Marine Pharmaceutical Compound ScreeningCollege of PharmacyJiangsu Ocean UniversityLianyungang 222005China department of Traditional Chinese Medicine Jiangsu Union Technical Institute Lianyungang Branch institute of Traditional Chinese MedicineLianyungang 222006China

Extensive use of avermectin(AVM)in agriculture can seriously contaminate fish in *** acid(FA)is a strong antioxidant sourced from plants and is widely applied in food and medicine,but its protective function on the immunological damage caused by AVM is still *** this study,carp were chronically exposed to(1/1096 hr LC_(50))AVM for 30 day(s),with a dietary supplement of FA(400 mg/kg)to assess its effects on carp *** experimental groups(n=10)included:control,AVM-exposed(2.404μg/L),FA+AVM co-treated,and FA ***-term AVM exposure altered spleen tissue,reducing serum complement C3(p<0.01)and immunoglobulin M levels(p<0.001),and increasing proinflammatory tnf-α(p<0.001),il-6(p<0.001),il-1β(p<0.001),and inos mRNA levels,whilst down-regulating the anti-inflammatory tgf-β(p<0.05).Additionally,it disrupted the balance of oxidative stress indicators such asMDA(p<0.001),T-AOC,GSH,and CAT,leading to spleen tissue apoptosis(42.4%).However,the addition of FA reversed these conditions,elevated the anti-inflammatory factor,and improved spleen immune function following chronic exposure to AVMin ***,the ability to restore oxidative homeostasis in carp by adjusting the Nrf2/NQO-1 axis protected the health of spleen *** discovery also supports the development of fish feed for aquaculture.

关键词： Avermectin Ferulic acid Oxidative stress Inflammation response

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Synergistic effect of silicon availability and salinity on metal adsorption in a common estuarine diatom

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Journal of Environmental Sciences 2025年第2期148卷 364-374页

作者： Fengyuan Chen Jie Ma Ke Pan SZU-HKUST Joint PhD Program in marine Environmental Science Shenzhen UniversityShenzhen 518060China Shenzhen Key Laboratory of marine Microbiome engineering Institute for Advanced StudyShenzhen UniversityShenzhen 518060China department of Ocean Science The Hong Kong University of Science and TechnologyHong Kong 999077China

Increasing nitrogen and phosphorus discharge and decreasing sediment input have made silicon(Si)a limiting element for diatoms in *** in nutrient structure and salinity fluctuation can greatly affect metal uptake by estuarine ***,the combined effects of Si and salinity on metal accumulation in these diatoms have not been *** this study,we aimed to investigate how salinity and Si availability combine to influence the adsorption of metals by a widely distributed diatom Phaeodactylum *** data indicate that replete Si and low salinity in seawater can enhance cadmium and copper adsorption onto the diatom *** the single-cell level,surface potential was a dominant factor determining metal adsorption,while surface roughness also contributed to the highermetal loading capacity at lower *** a combination of noninvasive micro-test technology,atomic force microscopy,X-ray photoelectron spectroscopy,and Fourier transform infrared spectroscopy,we demonstrate that the diversity and abundance of the functional groups embedded in diatom cell walls vary with salinity and Si *** results in a change in the cell surface potential and transient metal *** study provides novel mechanisms to explain the highly variable metal adsorption capacity of a model estuarine diatom.

关键词： Diatom Metal adsorption Silicon Salinity Functional group Surface potential

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Interfacial Mo-S bond modulated S-scheme Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6)heterojunction for boosted photocatalytic removal of emerging organic contaminants

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Chinese Journal of Catalysis 2025年第1期68卷 259-271页

作者： Shijie Li Changjun You Fang Yang Guijie Liang Chunqiang Zhuang Xin Li Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province National Engineering Research Center for Marine AquacultureCollege of Marine Science and TechnologyZhejiang Ocean UniversityZhoushan 316022ZhejiangChina School of Mechanical and automotive engineering Shanghai University of Engineering ScienceShanghai 201620China Hubei Key Laboratory Low Dimens Optoelect Mat&Devices Hubei University of Arts and ScienceXiangyang 441053HubeiChina Institute of Microstructure and Property of Advanced Materials Beijing University of TechnologyBeijing 100124China Institute of Biomass engineering Key Laboratory of Energy Plants Resource and UtilizationMinistry of Agriculture and Rural AffairsSouth China Agricultural UniversityGuangzhou 510642GuangdongChina

Inefficient photo-carrier separation and sluggish photoreaction dynamics appreciably undermine the photocatalytic decontamination efficacy of ***,an S-scheme Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6)heterojunction with interfacial Mo-S chemical bond is designed as an efficient *** this integrated photosystem,Bi2MoO6 and Mn_(0.5)Cd_(0.5)S function as oxidation and reduction centers of Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6)microspheres,***,the unique charge transfer mechanism in the chemically bonded S-scheme heterojunction with Mo-S bond as atom-scale charge transport highway effectively inhibits the photocorrosion of Mn_(0.5)Cd_(0.5)S and the recombination of photo-generated electron-hole pairs,endowing Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6)photocatalyst with excellent photocatalytic decontamination performance and ***,integration of Mn_(0.5)Cd_(0.5)S nanocrystals into Bi2MoO6 improves hydrophilicity,conducive to the ***,compared with Mn_(0.5)Cd_(0.5)S and Bi2MoO6,the Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6)unveils much augmented photoactivity in tetracycline eradication,among which Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6)-2 possesses the highest activity with the rate constant up to 0.0323 min-1,prominently outperforming other *** research offers a chemical bonding engineering combining with S-scheme heterojunction strategy for constructing extraordinary photocatalysts for environmental purification.

关键词： Mn_(0.5)Cd_(0.5)S/Bi_(2)MoO_(6) Interfacialchemicalbond S-scheme heterojunction Emerging organic contaminants Internalelectricfield Photocatalysis

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Design of Voltage Equalization Circuit and Control Method for Lithium-ion Battery Packs

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Energy engineering 2025年第2期122卷 733-746页

作者： Qi Wang Lantian Ge Tianru Xie Yibo Huang Yandong Gu Tao Zhu Xuehua Gao School of Electrical and Information engineering Jiangsu University of TechnologyChangzhou213001China Research and Development department Shuangdeng Group Co.Ltd.Taizhou225500China School of automotive and Traffic engineering Jiangsu UniversityZhenjiang212013China

The active equalization of lithium-ion batteries involves transferring energy from high-voltage cells to low-voltage cells,ensuring consistent voltage levels across the battery pack and maintaining *** paper presents a voltage balancing circuit and control ***,a single capacitor method is used to design the circuit topology for energy ***,real-time voltage detection and control are employed to balance energy between ***,simulation and experimental results demonstrate the effectiveness of the proposed method,achieving balanced voltages of 3.97 V from initial voltages of 4.10,3.97,and 3.90 *** proposed circuit is simple,reliable,and effectively prevents overcharge and overdischarge.

关键词： Lithium-ion battery voltage balancing control single-capacitor method

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Integrating Image Processing technology and Deep Learning to Identify Crops in UAV Orthoimages

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Computers, Materials & Continua 2025年第2期82卷 1925-1945页

作者： Ching-Lung Fan Yu-Jen Chung department of Civil engineering Republic of China Military AcademyKaohsiung830Taiwan department of marine Science Republic of China Naval AcademyKaohsiung813Taiwan

This study aims to enhance automated crop detection using high-resolution Unmanned Aerial Vehicle(UAV)imagery by integrating the Visible Atmospherically Resistant Index(VARI)with deep learning *** primary challenge addressed is the detection of bananas interplanted with betel nuts,a scenario where traditional image processing techniques struggle due to color similarities and canopy *** research explores the effectiveness of three deep learning models—Single Shot MultiBox Detector(SSD),You Only Look Once version 3(YOLOv3),and Faster Region-Based Convolutional Neural Network(Faster RCNN)—using Red,Green,Blue(RGB)and VARI images for banana *** show that VARI significantly improves detection accuracy,with YOLOv3 achieving the best performance,achieving a precision of 73.77%,recall of 100%,and reduced training time by 95 ***,the average Intersection over Union(IoU)increased by 4%–25%across models with VARI-enhanced *** study confirms that incorporating VARI improves the performance of deep learning models,offering a promising solution for precise crop detection in complex agricultural environments.

关键词： UAV RGB image deep learning visible atmospherically resistant index crop

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Tribological evaluation of Al2O3/GO/ZnO tripartite hybrid based nanofluid for grinding Ti-6Al-4V alloy with minimum quantity lubrication

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Frontiers of Mechanical engineering 2025年第1期20卷 1-26页

作者： Yusuf Suleiman DAMBATTA Benkai LI Yanbin ZHANG Min YANG Peiming XU Wei WANG Zongming ZHOU Yuying YANG Lan DONG Changhe LI School of Mechanical and automotive engineering Qingdao University of TechnologyQingdao 266520China Mechanical engineering department Ahmadu Bello UniversityZaria 810106Nigeria Taishan Sports Industry Group Co. Ltd.Dezhou 253600China Qingdao Hanergy Lubrication technology Co. Ltd.Qingdao 266000China Qilu University of technology Jinan 250316China Qingdao Binhai University Qingdao 266540China

Machining-induced damages encountered during the grinding of titanium alloys are a major setback for processing different components from these materials. Recent studies have shown that nanofluid (NF)-based minimum quantity lubrication (MQL) systems improved the machining lubrication and the titanium alloys’ machinability. In this work, the tribological characteristics of a palm oil-based tripartite hybrid NF (ZnO/Al2O3/Graphene Oxide, GO) are studied. The novel usage of the developed lubricants in MQL systems was examined during the grinding of Ti6-Al-4V (TC4) alloy. The NF was produced by mixing three weight percent mixtures (i.e., 0.1, 0.5, and 1 wt.%) of the nanoparticles in palm oil. A comprehensive tribological and physical investigation was conducted on different percentage compositions of the developed NF to determine the optimum mix ratio of the lubricant. The findings indicate that increasing the NF concentration caused an increment in the dynamic viscosity and frictional coefficient of the NFs. The tripartite hybrid NF exhibited superior tribological and physicochemical properties compared with the pure palm and monotype-based NFs. Moreover, the dynamic viscosity of the tripartite-hybrid-based NFs increased by 12%, 5%, and 11.5% for the Al2O3, GO, and ZnO hybrid NFs, respectively. In addition, the machining results indicate that the tripartite hybrid NF lowered the surface roughness, specific grinding, grinding force ratio, tangential, and normal grinding forces by 42%, 40%, 16.5%, 41.5%, and 30%, respectively. Hence, the tripartite hybrid NFs remarkably enhanced the tribology and machining performance of the eco-friendly lubricant.

关键词： hybrid nanolubricant tribology grinding surface quality Ti-6Al-4V minimum quantity lubrication

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A comprehensive review on rectification and power management strategies for triboelectric nanogenerators

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Science China(Technological Sciences) 2025年第3期68卷 1-29页

作者： Zhongjie LI Bingyan CUI Biao WANG Fan SHEN Hao WU Ying GONG Yan PENG Hengyu GUO Dan ZHANG Institute of Artificial Intelligence School of Future TechnologyShanghai UniversityShanghai200444China School of Mechatronic engineering and Automation Shanghai UniversityShanghai200444China department of Applied Physics Chongqing UniversityChongqing400044China engineering Research Center of Unmanned Intelligent marine Equipment Shanghai UniversityShanghai200444China

Nanogenerators utilize nanomaterials to harvest mechanical or thermal energy at the micro-nano scale,thereby providing power for small self-sustaining *** to traditional generators,nanogenerators offer advantages such as compact size,high flexibility,and broad *** nanogenerators(TENGs),based on triboelectric theory,can collect energy from mechanical sources such as vibrations or sliding *** hold promise for powering small ***,the high pulse characteristics of their output voltage prevent them from directly charging electronic *** address the requirements of the internet of things(IoTs),this paper comprehensively reviews state-of-the-art power management systems used to enhance the current stability and output power of ***,the working principle and resistive load output characteristics of TENGs are *** management circuits(PMCs)based on full-wave rectifiers,half-wave rectifiers,and Bennet's doublers are subsequently analyzed and *** and electronic switches proposed to further improve rectifier performance are also *** switches are categorized as travel and voltagetriggered switches,while electronic switches include silicon-controlled rectifiers(SCRs),metal-oxide-semiconductor fieldeffect transistors(MOSFETs),and integrated *** conclusion,the characteristics and applications of PMCs are summarized,along with the identification of existing limitations in their ***,appropriate solutions and prospects for further development are explored.

关键词： triboelectric nanogenerators power management circuit rectifier switch

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