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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing systems engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical engineering and Automation Luoyang Institute of Science and Technology School of Mechanical engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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Rock fracture mechanism of buffer blasting with cushion layer at the borehole bottom

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 325-334页

作者： Xinguang Zhu Chenxi Ding Zhe Sui Hong Su Xu Guo School of Civil and Resources engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory for Mechanics in Fluid Solid Coupling systems Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of Mechanics and Civil engineering China University of Mining and Technology(Beijing)Beijing 100083China School of Chemical and Blasting engineering Anhui University of Science and TechnologyHuainan 232001China

This study primarily investigates the rock fracture mechanism of bottom cushion layer blasting and explores the effects of the bottom cushion layer on rock *** involves analyses of the evolution patterns of blasting stress,characteristics of crack distribution,and rock fracture features in the ***,blasting model experiments were carried out using the dynamic caustics principle to investigate the influence of bottom cushion layers and initiation methods on the integrity of the bottom rock *** experimental results indicate that the combined use of bottom cushion layers and inverse initiation effectively protects the integrity of the bottom rock ***,the process of stress wave propagation and dynamic crack propagation in rocks was simulated using the continuum-discontinuum element method(CDEM)and the Landau explosion source model,with varying thicknesses of bottom cushion *** numerical simulation results indicate that with increasing cushion thickness,the absorption of energy generated by the explosion becomes more pronounced,resulting in fewer cracks in the bottom rock *** illustrates the positive role of the cushion layer in protecting the integrity of the bottom rock mass.

关键词： bottom cushion layer blasting crack propagation continuum-discontinuum element method dynamic stress intensity factor

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Multiscale process systems engineering—analysis and design of chemical and energy systems from molecular design up to process optimization

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Frontiers of Chemical Science and engineering 2022年第2期16卷 137-140页

作者： Teng Zhou Kai Sundmacher Process systems engineering Max Planck Institute for Dynamics of Complex Technical SystemsD-39106 MagdeburgGermany Process systems engineering Otto-von-Guericke University MagdeburgD-39106 MagdeburgGermany

As indicated by Grossmann and Westerberg[1],a process system can be generally decomposed into hierarchical levels or scales at which different physical and/or chemical phenomena take place(see Fig.1).The first step of multiscale process modeling is to connect the molecular level with the phase level,where the main task is to model and predict the properties of fluid mixtures based on the atomic-or molecular-level ***,quantum chemical(QC)computation,molecular simulation,and equations of state are used to provide such ***,due to the ever-increasing number of available data and fast development of cheminformatics and machine learning tools,data-driven descriptor models have been developed and widely used for property predictions[2].

关键词： process chemical optimization

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A Historical Perspective on Development of systems engineering Discipline:A Review and Analysis

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Journal of systems Science and systems engineering 2020年第1期29卷 1-35页

作者： Niamat Ullah Ibne Hossain Raed M.Jaradat Michael A.Hamilton Charles B.Keating Simon R.Goerger Department of Industrial and systems engineering Mississippi State UniversityPO Box 9542Mississippi State 39762USA Department of Industrial and systems engineering Mississippi State UniversityPO Box 9542Mississippi State39762USA Institute for systems engineering Research(ISER) Mississippi State University 3909 Halls Ferry RdVicksburgMS 39180 Department of engineering Management&systems engineering Old Dominion UniversityNorfolkVA 23529 eInstitute for systems engineering Research(ISER) U.S Army Engineer Research Development Center(ERDC)3909 Halls Ferry RdVicksburgMS 39180

Since its inception,systems engineering(SE)has developed as a distinctive discipline,and there has been significant progress in this field in the past two *** to other engineering disciplines,SE is not affirmed by a set of underlying fundamental propositions,instead it has emerged as a set of best practices to deal with intricacies stemming from the stochastic nature of engineering complex systems and addressing their *** the existing methodologies and paradigms(dominant patterns of thought and concepts)of SE are very diverse and somewhat *** appears to create some confusion regarding the design,deployment,operation,and application of *** purpose of this paper is 1)to delineate the development of SE from 1926-2017 based on insights derived from a histogram analysis,2)to discuss the different paradigms and school of thoughts related to SE,3)to derive a set of fundamental attributes of SE using advanced coding techniques and analysis,and 4)to present a newly developed instrument that could assess the performance of systems *** than Two hundred and fifty different sources have been reviewed in this research in order to demonstrate the development trajectory of the SE discipline based on the frequency of publication.

关键词： systems engineering(SE) history development systems engineering attributes performance measures

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A CONTRIBUTION TO THE SCIENTIFIC FOUNDATIONS OF systems engineering： SOLUTION SPACES AND REQUIREMENTS

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Journal of systems Science and systems engineering 2017年第5期26卷 549-589页

作者： Alejandro Salado Roshanak Nilchiani Dinesh Verma Grado Department of Industrial and systems engineering Virginia Tech Blacksburg VA 24061 USA School of systems and Enterprises Stevens Institute of Technology Hoboken N J 07030 USA

Some researchers have suggested that scientific foundations expressed in a mathematical form are needed to thrust the success of systems engineering as a discipline on its own merit. In order to contribute the development of such systems science, this paper investigates from a foundational standpoint the relationships between stakeholder needs, system requirements, and sets of systems. Various theorems and corollaries are proposed and mathematically proven. The theoretical elements are presented as a foundation for the development of a science for requirements engineering. The proposed foundations are finally tested to mathematically describe, in a rigorous and precise manner, qualities of good requirements, which are otherwise traditionally defined using vague narrative. By showcasing practical examples of the theoretical aspects, the paper is intended to serve as a bridge between practitioners and theorists.

关键词： systems science systems theory requirements engineering mathematical formulation,requirements qualities formal concepts

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Data-Driven Healthcare:The Role of Computational Methods in Medical Innovation

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Computer Modeling in engineering & Sciences 2025年第1期142卷 1-48页

作者： Hariharasakthisudhan Ponnarengan Sivakumar Rajendran Vikas Khalkar Gunapriya Devarajan Logesh Kamaraj Department of Mechanical engineering Dr.Mahalingam College of Engineering and TechnologyPollachiCoimbatoreTamil Nadu642003India Department of Mechanical engineering JKKN College of Engineering and TechnologyKumarapalayamNamakkalTamil Nadu637209India Department of Mechanical engineering Gharda Institute of TechnologyLavelMaharashtra415708India Department of Electrical and Electronics engineering Sri Eshwar College of EngineeringCoimbatoreTamilnadu641202India Department of Mechanical engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India

The purpose of this review is to explore the intersection of computational engineering and biomedical science,highlighting the transformative potential this convergence holds for innovation in healthcare and medical *** review covers key topics such as computational modelling,bioinformatics,machine learning in medical diagnostics,and the integration of wearable technology for real-time health *** findings indicate that computational models have significantly enhanced the understanding of complex biological systems,while machine learning algorithms have improved the accuracy of disease prediction and *** synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine,enabling more precise treatment ***,the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease *** review emphasizes the need for interdisciplinary collaboration to further advance this *** research should focus on developing more robust and scalable computational models,enhancing data integration techniques,and addressing ethical considerations related to data privacy and *** fostering innovation at the intersection of these disciplines,the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable.

关键词： Computational models biomedical engineering bioinformatics machine learning wearable technology

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A CASE FOR SERVICE systems engineering

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systems Science and systems engineering 2003年第1期12卷 13-38页

作者： James M.TIEN Daniel BERG Department of Decision Sciences and engineering systems Rensselaer Polytechnic Institute Troy New York 12110-3590U.S.A.Department of Decision Sciences and Engineering Systems Rensselaer Polytechnic Institute TroyNew York 12110-3590U.S.A.

A case is made for further developing a branch of systems engineering that focuses on problems and issues which arise in the service sector. We promulgate this special focus not only because of the size and importance of the service sector but also because of the unique opportunities that systems engineering can exploit in the design and joint production and delivery of services. We begin by considering the economic, technological and demographic contexts within which the service sector has flourished; we then address both services, especially emerging services, and systems engineering, followed by a discussion of how to advance the field of service systems engineering, and concluding with several remarks. In particular, a number of service systems engineering methods are identified to enhance the design and production/delivery of services, especially taking advantage of the unique features that characterize services - namely, services, especially emerging services, are information-driven, customer-centric, e-oriented, and productivity-focused.

关键词： Service sector systems engineering information technology decision technologies customer-centric productivity

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engineering microscale systems for fully autonomous intracellular neural interfaces

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Microsystems & Nanoengineering 2020年第1期6卷 1276-1295页

作者： Swathy Sampath Kumar Michael S.Baker Murat Okandan Jit Muthuswamy Biomedical engineering School of Biological and Health Systems EngineeringArizona State UniversityTempeAZ 85287USA Mechanical engineering Sandia National laboratoriesAlbuquerqueNMUSA mPower Technology Inc.AlbuquerqueNM 87102USA

Conventional electrodes and associated positioning systems for intracellular recording from single neurons in vitro and in vivo are large and bulky,which has largely limited their ***,acquiring successful intracellular recordings is very tedious,requiring a high degree of skill not readily achieved in a typical *** report here a robotic,MEMS-based intracellular recording system to overcome the above limitations associated with form factor,scalability,and highly skilled and tedious manual operations required for intracellular *** system combines three distinct technologies:(1)novel microscale,glass–polysilicon penetrating electrode for intracellular recording;(2)electrothermal microactuators for precise microscale movement of each electrode;and(3)closed-loop control algorithm for autonomous positioning of electrode inside single *** we demonstrate the novel,fully integrated system of glass–polysilicon microelectrode,microscale actuators,and controller for autonomous intracellular recordings from single neurons in the abdominal ganglion of Aplysia californica(n=5 cells).Consistent resting potentials(60 mV)were recorded after each successful penetration attempt with the controller and microactuated glass–polysilicon *** success rate of penetration and quality of intracellular recordings achieved using electrothermal microactuators were comparable to that of conventional positioning *** data from in vivo experiments in anesthetized rats show successful intracellular *** MEMS-based system offers significant advantages:(1)reduction in overall size for potential use in behaving animals,(2)scalable approach to potentially realize multi-channel recordings,and(3)a viable method to fully automate measurement of intracellular *** system will be evaluated in vivo in future rodent studies.

关键词： recording electrode system

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Passive activity enhances residual control ability in patients with complete spinal cord injury

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Neural Regeneration Research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng Rao Guiyun Song Wei Song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of Rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual Reality Technology and systems Beihang UniversityBeijingChina Department of Rehabilitation engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

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Pathogenesis, diagnosis, and treatment of epilepsy: electromagnetic stimulation-mediated neuromodulation therapy and new technologies

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Neural Regeneration Research 2025年第4期20卷 917-935页

作者： Dian Jiao Lai Xu Zhen Gu Hua Yan Dingding Shen Xiaosong Gu Academy of Medical engineering and Translational Medicine Tianjin UniversityTianjinChina Key Laboratory of Advanced Drug Delivery systems of Zhejiang Province College of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang ProvinceChina Affiliated Hospital of Nantong University NantongJiangsu ProvinceChina

Epilepsy is a severe,relapsing,and multifactorial neurological *** regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of *** pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota *** results are lacking for conventional treatments for *** resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with ***-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research *** review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of *** also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current *** studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic ***,many new technologies for the diagnosis and treatment of epilepsy are being ***,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.

关键词： diagnosis drug treatment electroencephalography epilepsy monitoring epilepsy nerve regeneration neurostimulation non-drug interventions pathogenesis prediction

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