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Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells

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能源与人工智能(英文) 2023年第2期12卷 178-186页

作者： vijay mohan Nagulapati SShiva Kumar Vimalesh Annadurai Hankwon Lim School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Carbon Neutrality Demonstration and Research Center Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Department of Mechatronics Rajalakshmi Engineering CollegeChennaiTamilnaduIndia Graduate School of Carbon Neutrality Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea

In fuel cells, chemical energy is directly converted into heat and electricity without any emissions which makes them an attractive substitute for various energy needs. Fuel cells have high energy conversion ratio and highpower densities which make them suitable for automotive applications. However, these fuel cell systems suffer with low reliability and durability as system components develop faults during operation resulting in degradation and diminished system performance. In this context, fault detection and fault mitigation strategies are being extensively developed. Diagnostic approaches like electrochemical impedance spectroscopy, cyclic voltammetry, and galvanostatic analysis offer a truthful representation of the State of Health (SOH) of the fuel cell. However, these approaches are intrusive and require pausing the operation of the fuel cell effecting its integrity. Machine learning based fault detection and SOH estimation is a non-intrusive approach where a mapping function is established between the indicators and SOH. The SOH of a fuel cell can be correlated to the patterns in sensor signals or indicators. Indicators that influence SOH are cell voltages, current density distribution, impedance spectra, acoustic emission and magnetic fields. Developing an accurate fault detection and state estimation technique through data driven machine learning approaches will allow corrective measures to avoid irreversible faults and improve the reliability and durability of fuel cells.

关键词： PEM fuel cell Data driven prognostics Fault detection Dynamic load test Gaussian process regression Support vector machine Artificial neural networks

A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries

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能源与人工智能(英文) 2021年第3期5卷 141-149页

作者： vijay mohan Nagulapati Hyunjun Lee DaWoon Jung SalaiSargunan S Paramanantham Boris Brigljevic Yunseok Choi Hankwon Lim School of Energy and Chemical Engineering UNISTUlsanRepublic of Korea Xynergypower Corp Gyeonggi-doRepublic of Korea Department of Energy Engineering UNISTUlsanRepublic of Korea

To ensure smooth and reliable operations of battery systems,reliable prognosis with accurate prediction of State of Health of lithium ion batteries is of utmost ***,battery degradation is a complex challenge involving many electrochemical reactions at anode,separator,cathode and electrolyte/electrode ***,there is significant effect of the operating conditions on the battery *** machine learning tech-niques have been applied to estimate the capacity and State of Health of lithium ion batteries to ensure reliable operation and timely *** this paper,we study the Gaussian Process Regression(GPR)and Support Vector Machine(SVM)model-based approaches in estimating the capacity and State of Health of ***-tery capacity and State of Health estimations are carried out using GPR and SVM models and the predictions comparatively studied for accuracy based on RMSE *** prediction accuracy is further compared with re-spect to single sensor and multi sensor ***,a combined multi battery data set model is used to improve the prediction *** the data of multiple batteries with similar operating conditions for training a model resulted in higher prediction accuracy.

关键词： Capacity estimation State of health Gaussian process regression Support vector machine Lithium ion battery

CFD-DEM analysis of particle polydispersity on the performance of fluidised bed reactor during silane pyrolysis Author links open overlay panel

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Particuology 2024年第8期91卷 72-87页

作者： Akshayveer vijay M.Shinde MS2Discovery Interdisciplinary Research Institute Wilfrid Laurier UniversityWaterlooOntarioN2L3C5Canada Department of Chemical Engineering Indian Institute of Technology(BHU)Varanasi221005India

A CFD-DEM model is developed for chemical vapour deposition of silane in a fluidized bed reactor to investigate the effect of polydispersity on local phase dynamics,mass and heat transport,as well as the rate of Si *** gas-phase fines formation and heterogeneous deposition on the seed particle,as well as the scavenging effect for Si particle growth,are *** method is first validated against the experimentally measured Si deposition rate,percentage of fine production and minimum fluidisation ***,the properties,primarily particle intermixing,fluidisation behaviour and bubble dynamics along with the deposition process,are analyzed for several polydisperse beds under various operating *** effect of polydispersity of the bed on a fraction of the bubble size,dense phase expansion and interchange coefficient between various phases is thoroughly investigated to establish a correlation with reactor *** results show that broad-Gaussian particle size distribution(PSD)exhibits excellent improvement in fluidisation behaviour,resulting in a high deposition rate,and minimum formation of Si fines.

关键词： CFD-DEM method Chemical vapour deposition(CVD) Particle size distribution Silicon Gas-solid fluidized bed

On Lie symmetries and invariant solutions of Broer-Kaup-Kupershmidt equation in shallow water of uniform depth

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Journal of Ocean Engineering and Science 2024年第3期9卷 199-206页

作者： Dig vijay Tanwar Mukesh Kumar Department of Mathematics Graphic Era Deemed to be UniversityDehradun 248002India Department of Mathematics Motilal Nehru National Institute of Technology AllahabadPrayagraj 211004India

The dynamics of atmosphere and ocean can be examined under different circumstances of shallow water waves like shallow water gravity waves,Kelvin waves,Rossby waves and inertio-gravity *** influences of these waves describe the climate change adaptation on marine environment and ***,the present work aims to derive symmetry reductions of Broer-Kaup-Kupershmidt equation in shallow water of uniform depth and then a variety of exact solutions are *** represents the propagation of nonlinear and dispersive long gravity waves in two horizontal directions in shallow *** invariance of test equations under one parameter transformation leads to reduction of independent ***,twice implementations of symmetry method result into equivalent system of ordinary differential ***,the exact solutions of these ODEs are computed under parametric *** derive results entail several arbitrary constants and functions,which make the findings more *** on the appropriate choice of existing parameters,these solutions are supplemented numerically and show parabolic nature,intensive and non-intensive behavior of solitons.

关键词： BKK equation Lie symmetry method Invariance property Invariant solutions Solitons

Fast internal preheating of 4680 lithium-ion batteries in cold environments

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Nano Research 2024年第10期17卷 8794-8802页

作者： Chuyue Guan Harrison Szeto Olivia Wander vijay Kumar Raphaele JClément Yangying Zhu Department of Mechanical Engineering University of California Santa BarbaraSanta BarbaraCA 93106USA Department of Chemistry and Biochemistry University of California Santa BarbaraSanta BarbaraCA 93106USA Department of Materials University of California Santa BarbaraSanta BarbaraCA 93106USA

Lithium-ion batteries are expected to operate within a narrow temperature window around room temperature for optimal performance and ***,in cold environments,electric vehicle battery packs must be extensively preheated prior to charge or ***,conventional preheating is accomplished externally,which is slow and thus significantly increases charging ***,internal heating has been demonstrated as a potential solution to quickly and uniformly preheat a lithium-ion pouch ***,internal heating has not been evaluated in other battery formats such as cylindrical *** this work,we present a numerical model of a 4680 battery with internal heaters for fast preheating in cold *** effects that the number of heater layers,heating duration,resting duration,environmental temperature,and boundary heat transfer coefficient have on the temperature heterogeneity of the battery were *** results show that internal heating alone reduces the temperature variation within the battery by a factor of 5 compared to external heating,and by a factor of 20 when combining internal and external *** study further proves that internal preheating of lithium-ion batteries is a promising thermal management strategy,and provides guidance on potential design considerations and heating protocols to implement internal heating.

关键词： lithium-ion battery 4680 battery thermal management internal battery preheating COMSOL Multiphysics thermal simulation battery temperature heterogeneity

Nano/Micro-Structural Supramolecular Biopolymers: Innovative Networks with the Boundless Potential in Sustainable Agriculture

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Nano-Micro Letters 2024年第8期16卷 79-101页

作者： Roohallah Saberi Riseh Mohadeseh Hassanisaadi Masoumeh Vatankhah Rajender S.Varma vijay Kumar Thakur Department of Plant Protection Faculty of AgricultureVali-e-Asr University of RafsanjanImam Khomeini SquareRafsanjan ***Iran Centre of Excellence for Research in Sustainable Chemistry Department of ChemistryFederal University of São CarlosSão CarlosSP 13565‑905Brazil Biorefining and Advanced Materials Research Center Scotland’s Rural Collage(SRUC)Edinburgh EH93JGUK

Sustainable agriculture plays a crucial role in meeting the growing global demand for food while minimizing adverse environmental impacts from the overuse of synthetic pesticides and conventional *** this context,renewable biopolymers being more sustainable offer a viable solution to improve agricultural sustainability and ***/micro-structural supramolecular biopolymers are among these innovative biopolymers that are much sought after for their unique *** biomaterials have complex hierarchical structures,great stability,adjustable mechanical strength,stimuli-responsiveness,and self-healing *** molecules may be added to their flexible structure,for enabling novel agricultural *** overview scrutinizes how nano/micro-structural supramolecular biopolymers may radically alter farming practices and solve lingering problems in agricultural sector namely improve agricultural production,soil health,and resource *** bioactive ingredient released from biopolymers allows the tailored administration of agrochemicals,bioactive agents,and biostimulators as they enhance nutrient absorption,moisture retention,and root ***/micro-structural supramolecular biopolymers may protect crops by appending antimicrobials and biosensing entities while their eco-friendliness supports sustainable *** their potential,further studies are warranted to understand and optimize their usage in agricultural *** effort seeks to bridge the knowledge gap by investigating their applications,challenges,and future prospects in the agricultural *** experimental investigations and theoretical modeling,this overview aims to provide valuable insights into the practical implementation and optimization of supramolecular biopolymers in sustainable agriculture,ultimately contributing to the development of innovative and eco-friendly solutions to enhance agricultural productivity while minimizing envir

关键词： Supramolecular Biopolymers Sustainable agriculture Nanotechnology

Heat transfer during droHeat transfer during droplet impact on a cold superhydrophobic surface via interfacial thermal mappingplet impact on a cold superhydrophobic surface via interfacial thermal mapping

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Droplet 2024年第3期3卷 71-79页

作者： vijay Kumar Qianxi Fu Harrison Szeto Yangying Zhu Department of Mechanical Engineering University of California Santa BarbaraSanta BarbaraCaliforniaUSA Department of Chemistry and Biochemistry University of California Santa BarbaraSanta BarbaraCaliforniaUSA

Undesired heat transfer during droplet impact on cold surfaces can lead to ice formation and damage to renewable infrastructure,among *** address this,superhydrophobic surfaces aim to minimize the droplet surface interaction thereby,holding promise to greatly limit ***,the dropletimpact on such surfaces spans only a few milliseconds making it difficult to quantify the heat exchange at the droplet–solid ***,we employ high-speed infrared thermography and a three-dimensionaltransient heat conductionCOMSOL modelto map the dynamic heat flux distribution during droplet impact on a cold superhydrophobic *** comprehensive droplet impact experiments for varying surface temperature,droplet size,and impacting height reveal that the heat transfer effectiveness(Q′)scales with the dimensionless maximum spreading radius as Q′∼(Rmax∕Ri)1.6,deviating from previous semi-infinite ***,despite shorter contact times,droplets impacting from higher heights demonstrate increased heat transfer effectiveness due to expanded contact *** results suggest that reducing droplet spreading time,as opposed to contact time alone,can be a more effective strategy for minimizing heat *** results presented here highlight the importance of both contact area and contact time on the heat exchange between a droplet and a cold superhydrophobic surface.

关键词： surface. hydrophobic transfer

Effect of weight-adjusted antimicrobial antibiotic prophylaxis on postoperative dosage and surgical site infection incidence in total joint arthroplasty

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World Journal of Orthopedics 2024年第4期15卷 318-320页

作者： Ashim Gupta vijay Kumar Jain Department of Orthopaedics and Regenerative Medicine Future BiologicsLawrencevilleGA 30043United States Department of Orthopaedics South Texas Orthopaedic Research Institute(STORI Inc.)LaredoTX 78045United States Department of Regenerative Medicine BioIntegrateLawrencevilleGA 30043United States Department of Orthopaedics and Regenerative Medicine Regenerative OrthopaedicsNoida 201301India Department of Orthopaedics Atal Bihari Vajpayee Institute of Medical SciencesDr Ram Manohar Lohia HospitalNew Delhi 110001India

Surgical site infections(SSI)following total joint arthroplasty pose a significant concern for both providers and patients across the ***,administration of antimicrobial antibiotic prophylaxis is used throughout the world to reduce the incidence of ***,the correct dosage and frequency of administration remains *** this editorial,we emphasized the determination of the effect of administration of weight-adjusted antimicrobial antibiotic prophylaxis regime on the incidence of SSI and postoperative dosage reduction compared to the conventionally used regime during total joint *** results demonstrated similar efficacy between both regimes with respect to the incidence of *** addition,weight-adjustment led to reduced postoperative dosage and has the potential to reduce chances of achieving lower therapeutic concentration,drug resistance,drug toxicity,and costs.

关键词： Antibiotics Antimicrobial prophylaxis Weight-adjusted Surgical site infections Total joint arthroplasty Knee arthroplasty Hip arthroplasty

Autologous peripheral blood-derived orthobiologics:Different types and their effectiveness in managing knee osteoarthritis

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World Journal of Orthopedics 2024年第5期15卷 400-403页

Knees are the most commonly impacted weight-bearing joints in osteoarthritis(OA),affecting millions of people *** increasing life spans and obesity rates,the incidence of knee OA will further increase,leading to a significant increase in the economic *** treatment modalities utilized to manage knee OA have *** the last decade,the role of various autologous peripheral blood-derived orthobiologics(APBOs)for the treatment of knee OA has been extensively *** editorial provided an overview and focused on defining and shedding light on the current state of evidence based on the most recent published clinical studies concerning the use of APBO for the management of knee *** numerous studies have demonstrated promising results for these preparations,a notable gap exists in the comparative analysis of these diverse *** absence of head-to-head studies poses a considerable challenge for physicians/surgeons in determining the optimal preparation for managing knee OA and achieving sustained longterm ***,more adequately powered,multicenter,prospective,doubleblind,randomized controlled trials with longer follow-ups are needed to establish the long-term efficacy and to aid physicians/surgeons in determining the optimal APBO for the management of knee OA.

关键词： Knee osteoarthritis Platelet-rich plasma Platelet lysate Autologous conditioned serum Gold-induced cytokine Plasma rich in growth factors Growth factor concentrate Autologous protein solution Platelet-rich fibrin Hyperacute serum