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A review of data-driven whole-life state of health prediction for lithium-ion batteries:Data preprocessing,aging characteristics,algorithms,and future challenges

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Journal of Energy Chemistry 2024年第10期97卷 630-649,I0013页

作者： Yanxin Xie Shunli Wang Gexiang Zhang Paul Takyi-Aninakwa carlos fernandez Frede Blaabjerg School of Information Engineering Southwest University of Science and TechnologyMianyang 621010SichuanChina College of Electric Power Inner Mongolia University of TechnologyHohhot 010080Inner MongoliaChina School of Pharmacy and Life Sciences Robert Gordon UniversityAberdeen AB10-7GJUK Department of Energy Technology Aalborg UniversityPontoppidanstraede 1119220 Aalborg EastDenmark

Lithium-ion batteries are the preferred green energy storage method and are equipped with intelligent battery management systems(BMSs)that efficiently manage the *** not only ensures the safety performance of the batteries but also significantly improves their efficiency and reduces their damage *** their whole life cycle,lithium-ion batteries undergo aging and performance degradation due to diverse external environments and irregular degradation of internal *** degradation is reflected in the state of health(SOH)***,this review offers the first comprehensive analysis of battery SOH estimation strategies across the entire lifecycle over the past five years,highlighting common research focuses rooted in data-driven *** delves into various dimensions such as dataset integration and preprocessing,health feature parameter extraction,and the construction of SOH estimation *** approaches unearth hidden insights within data,addressing the inherent tension between computational complexity and estimation *** enha nce support for in-vehicle implementation,cloud computing,and the echelon technologies of battery recycling,remanufacturing,and reuse,as well as to offer insights into these technologies,a segmented management approach will be introduced in the *** will encompass source domain data processing,multi-feature factor reconfiguration,hybrid drive modeling,parameter correction mechanisms,and fulltime health *** on the best SOH estimation outcomes,health strategies tailored to different stages can be devised in the future,leading to the establishment of a comprehensive SOH assessment *** will mitigate cross-domain distribution disparities and facilitate adaptation to a broader array of dynamic operation *** article reviews the current research landscape from four perspectives and discusses the challenges that lie *** and practitioners can gain

关键词： Lithium-ion batteries Whole life cycle Aging mechanism Data-driven approach State of health Battery management system

Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency

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Journal of Energy Chemistry 2023年第7期82卷 521-536,I0011页

作者： Haotian Shi Shunli Wang Jianhong Liang Paul Takyi-Aninakwa Xiao Yang carlos fernandez Liping Wang School of Information Engineering Southwest University of Science and TechnologyMianyang 621010SichuanChina Department of Mechanical Engineering Tsinghua UniversityBeijing 100084China School of Pharmacy and Life Sciences Robert Gordon UniversityAberdeen AB10-7GJUK

The electrification of vehicles puts forward higher requirements for the power management efficiency of integrated battery management systems as the primary or sole energy *** this paper,an efficient adaptive multi-time scale identification strategy is proposed to achieve high-fidelity modeling of complex kinetic processes inside the *** specifically,a second-order equivalent circuit model network considering variable characteristic frequency is constructed based on the high-frequency,medium-high-frequency,and low-frequency characteristics of the key kinetic ***,two coupled sub-filters are developed based on forgetting factor recursive least squares and extended Kalman filtering methods and decoupled by the corresponding time-scale *** coupled iterative calculation of the two sub-filter modules at different time scales is realized by the voltage response of the kinetic diffusion *** addition,the driver of the low-frequency subalgorithm with the state of charge variation amount as the kernel is designed to realize the adaptive identification of the kinetic diffusion process ***,the concept of dynamical parameter entropy is introduced and advocated to verify the physical meaning of the kinetic *** experimental results under three operating conditions show that the mean absolute error and root-mean-square error metrics of the proposed strategy for voltage tracking can be limited to 13 and 16 mV,***,from the entropy calculation results,the proposed method can reduce the dispersion of parameter identification results by a maximum of 40.72%and 70.05%,respectively,compared with the traditional fixed characteristic frequency *** proposed method paves the way for the subsequent development of adaptive state estimators and efficient embedded applications.

关键词： Lithium-ion battery Kinetic parameters Entropy evaluation Parameter identification Frequency characteristic

A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction

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Green Energy and Intelligent Transportation 2024年第2期3卷 50-59页

作者： Yuan Chen Wenxian Duan Yigang He Shunli Wang carlos fernandez School of Artificial Intelligence Anhui UniversityHefei 230009China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430000China School of Information Engineering Southwest University of Science and TechnologyMianyang 621010China School of Pharmacy and Life Sciences Robert Gordon UniversityAberdeenAB10-7GJUK

Battery life prediction is of great significance to the safe operation,and reduces the maintenance *** paper proposes a hybrid framework considering feature extraction to achieve more accurate and stable life prediction performance of the *** feature extraction,eight features are obtained to fed into the life prediction *** hybrid framework combines variational mode decomposition,the multi-kernel support vector regression model and the improved sparrow search algorithm to solve the problem of data backward,uneven distribution of high-dimensional feature space and the local escape ability,*** parameters of the estimation model are obtained by introducing the elite chaotic opposition-learning strategy and adaptive weights to optimize the sparrow search *** algorithm can improve the local escape ability and convergence performance and find the global *** comparison is conducted by dataset from National Aeronautics and Space Administration which shows that the proposed framework has a more accurate and stable prediction *** with other algorithms,the SOH estimation accuracy of the proposed algorithm is improved by 0.16%–1.67%.With the advance of the start point,the RUL prediction accuracy of the proposed algorithm does not change much.

关键词： State of heath Improved sparrow search algorithm Remaining useful life Variational mode decomposition Multi-kernel support vector regression Feature extraction

High interpretable machine learning classifier for early glaucoma diagnosis

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International Journal of Ophthalmology(English edition) 2021年第3期14卷 393-398页

作者： carlos Salvador fernandez Escamez Elena Martin Giral Susana Perncho Martinez Nicolas Toledano fernandez Ophthalmology Department Hospital de FuenlabradaMadrid 28942Spain Doctorate Program in Heath Sciences Universidad Rey Juan CarlosAlcorcon 28922MadnidSpain

AIM:To develop a classifier for differentiating between healthy and early stage glaucoma eyes based on peripapillary retinal nerve fiber layer(RNFL)thicknesses measured with optical coherence tomography(OCT),using machine learning algorithms with a high ***:Ninety patients with early glaucoma and 85 healthy eyes were *** glaucoma eyes showed a visual field(VF)defect with mean deviation>-6.00 d B and characteristic glaucomatous *** thickness in every quadrant,clock-hour and average thickness were used to feed machine learning *** analysis was conducted to detect and exclude *** gradient boosting algorithms were used to calculate the importance of parameters on the classifier and to check the relation between their values and its impact on the *** with the lowest importance were excluded and a weighted decision tree analysis was applied to obtain an interpretable *** under the ROC curve(AUC),accuracy and generalization ability of the model were estimated using cross validation ***:Average and 7 clock-hour RNFL thicknesses were the parameters with the highest impor *** between parameter values and impact on classification displayed a stepped pattern for average *** tree model revealed that average thickness lower than 82μm was a high predictor for early *** scores had AUC of 0.953(95%CI:0.903-0998),with an accuracy of 89%.CONCLUSION:Gradient boosting methods provide accurate and highly interpretable classifiers to discriminate between early glaucoma and healthy *** and 7-hour RNFL thicknesses have the best discriminant power.

关键词： machine learning glaucoma diagnosis optical coherence tomography

Coherent interface strengthening of ultrahigh pressure heat-treated Mg-Li-Y alloys

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Journal of Materials Science & Technology 2020年第16期47卷 79-83页

作者： Shun Zhang Yong Sun Ruizhi Wu Xiang Wang Xiao-Bo Chen carlos fernandez Qiuming Peng State Key Laboratory of Metastable Materials Science and Technology Yanshan UniversityQinhuangdao066004China Key Laboratory of Superlight Materials&Surface Technology Ministry of EducationHarbin Engineering UniversityHarbin150001China School of Engineering RM IT UniversityCarlton3053VICAustralia School of Pharmacy and Life Sciences Robert Gordon UniversityAberdeenAB107GJUK

Achieving good strength-ductility of Mg alloys has always been a crucial issue for the widespread applications of Mg-based structural ***,an unexpected double-stage strengthening phenomenon was discovered in Mg-8Li-1Y(wt.%)alloys through high pressure(6 GPa)heat treatments over a range of 700-1300℃.Attractively,the yield strength values are improved remarkably without losing their *** low temperature strengthening mechanism is mainly driven by the formation of large-volume nanoscale contraction *** contrast,the high-temperature strengthening reason is ascribed to the presence of densely nano-sized stacking *** coherent interfaces contribute effectively to high mechanical strength without any tradeoff in ductility.

关键词： Mg alloys Nano-twins Stacking faults Strengthening

T follicular helper expansion and humoral-mediated rejection are independent of the HVEM/BTLA pathway

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Cellular & Molecular Immunology 2017年第6期14卷 497-510页

作者： Jose-Ignacio Rodriguez-Barbosa carlos fernandez-Renedo Ana Maria Bravo Moral Leo Biihler Maria-Luisa del Rio Transplantation Immunobiology Section Institute of Biomedicine University of Leon and Castilla and Leon Regional Transplantation Coordination Leon University Hospital Leon Spain Department of Veterinary Clinical Sciences University of Santiago de Compostela Veterinary Faculty Lugo Spain Visceral and Transplantation Surgery Department of Surgery University Hospitals of Geneva and Faculty of Medicine Geneva Switzerland

The molecular pathways contributing to humoral-mediated allograft rejection are poorly defined. In this study, we assessed the role of the herpesvirus entry mediator/B- and T-lymphocyte attenuator （HVEM/BTLA） signalling pathway in the context of antibody-mediated allograft rejection. An experimental setting was designed to elucidate whether the blockade of HVEM/BTLA interactions could modulate de novo induction of host antidonor-specific antibodies during the course of graft rejection. To test this hypothesis, fully allogeneic major histocompatibility complex-mismatched skin grafts were transplanted onto the right flank of recipient mice that were treated with isotype control, anti-CD40L or modulatory antibodies of the HVEM/BTLA signalling pathway. The frequencies of CD4 T follicular helper （Tfh） cells （B220-, CD4＋ CXCR5＋ PD-lhigh）, extrafollicular helper cells （B220-, CD4＋ CXCR5- PD-1＋ and PD-1-） and germinal centre （GC） B cells （B220＋Fas＋ GL7＋） were analysed by flow cytometry in draining and non-draining lymph nodes at day 10 post transplantation during the acute phase of graft rejection. The host antidonor isotype-specific humoral immune response was also assessed. Whereas blockade of the CD40/CD40L pathway was highly effective in preventing the allogeneic humoral immune response, antibody-mediated blockade of the HVEM/BTLA-interacting pathway affected neither the expansion of Tfh cells nor the expansion of GC B cells. Consequently, the course of the host antidonor antibody-mediated response proceeded normally, without detectable evidence of impaired development. In summary, these data indicate that HVEM/BTLA interactions are dispensable for the formation of de novo host antidonor isotype-specific antibodies in transplantation.

关键词： BTLA (CD272) humoral immunity HVEM (TNFRSF14, CD270) T follicular helper cells transplantation

Improved Multiple Feature-electrochemical Thermal Coupling Modeling of Lithium-ion Batteries at Low-temperature with Real-time Coefficient Correction

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Protection and Control of Modern Power Systems 2024年第3期9卷 157-173页

作者： Shunli Wang Haiying Gao Paul Takyi-Aninakwa Josep M.Guerrero carlos fernandez Qi Huang IET the School of Electric Power Inner Mongolia University of TechnologyInner Mongolia 010051China the School of Information Engineering Southwest University of Science and TechnologyMianyang 621010China Southwest University of Science and Technology(SWUST) the Smart Energy Storage Institute the Department of Energy Technology Aalborg UniversityDenmark Robert Gordon University IEEE Southwest University of Science and Technology

Monitoring various internal parameters plays a core role in ensuring the safety of lithium-ion batteries in power supply *** also influences the sustainability effect and online state of charge *** improved multiple feature-electrochemical thermal coupling modeling method is proposed considering low-temperature performance degradation for the complete characteristic expression of multi-dimensional *** is to obtain the parameter influence mechanism with a multi-variable coupling *** optimized decoupled deviation strategy is constructed for accurate state of charge prediction with real-time correction of time-varying current and temperature *** innovative decoupling method is combined with the functional relationships of state of charge and open-circuit voltage to capture energy management ***,an adaptive equivalent-prediction model is constructed using the state-space equation and iterative feedback correction,making the proposed model adaptive to fractional *** maximum state of charge estimation errors of the proposed method are 4.57% and 0.223% under the Beijing bus dynamic stress test and dynamic stress test conditions,*** improved multiple feature-electrochemical thermal coupling modeling realizes the effective correction of the current and temperature variations with noise influencing coefficient,and provides an efficient state of charge prediction method adaptive to complex conditions.

关键词： Adaptive inner state characterization lithium-ion batteries low-temperature automatic-guided-vehicle multiple feature-electrochemical thermal coupling modeling real-time coefficient correction

On the bramble way to Mg metal anodes in secondary Mg ion batteries

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Journal of Materials Science & Technology 2023年第19期150卷 175-189页

作者： Guodong Zou Jiawen Feng Xue Zhao Jinming Wang Yangyang Wang Weihao Yang Mengyao Wei Yimin Wang Lanjie Li Liqun Ren carlos fernandez Qiuming Peng State Key Laboratory of Metastable Materials Science and Technology School of Materials Science and EngineeringYanshan UniversityQinhuangdao 066004China Department of General Surgery First Hospital of QinhuangdaoHebei Medical UniversityQinhuangdao 066000China Chengde Iron and Steel Group Co. Ltd.HBIS Group Co.Ltd.Chengde 067102China Laboratory of Spinal Cord Injury and Rehabilitation Chengde Medical UniversityChengde 067000China School of Pharmacy and Life Sciences Robert Gordon UniversityAberdeen AB107GJUnited Kingdom

As a prospective alternative to lithium-ion batteries,rechargeable magnesium metal batteries(RMBs)have many unparalleled advantages,including direct use of Mg metal as the electrode;large nature abundance;intrinsically safe merits;high theoretical volumetric ***,there exist a large number of challenges on electrodes for their *** them,surface passivation,uneven deposition/dissolution,and corrosion are critical issues that severely hinder the development of Mg anodes in *** review gives a specific comprehensive,and in-depth summary of mechanisms relative to these ***,it displays the protection progresses of the Mg metal anode via three-dimensional host nanostructure fabrication,Mg alloys anode design,current collector modification,artificial solid-electrolyte interphase construction,and electrolyte ***,future perspectives and outlooks in developing the other blossom of these strategies for rechargeable Mg batteries are also *** overview provides significant guidance for designing and fabricating high-performance Mg metal anodes in secondary Mg batteries and boosting their commercial applications.

关键词： Mg metal anode Mg alloys Deposition/dissolution Dendrite Artificial solid-electrolyte interphase Mg ion battery

Assessing cotton defoliation, regrowth control and root rot infection using remote sensing technology

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International Journal of Agricultural and Biological Engineering 2011年第4期4卷 1-11页

作者： Chenghai Yang Shoil M.Greenberg James H.Everitt carlos J.fernandez USDA-ARS Kika de la Garza Subtropical Agricultural Research CenterWeslacoTexas 78596USA Texas AgriLife Research and Extension Center Corpus ChristiTexas 78406USA

Cotton defoliation and post-harvest destruction are important cultural practices for cotton *** root rot is a serious and destructive disease that affects cotton yield and lint *** paper presents an overview and summary of the methodologies and results on the use of remote sensing technology for evaluating cotton defoliation and regrowth control methods and for assessing cotton root rot infection based on published *** reflectance spectra and airborne multispectral and hyperspectral imagery were used in these *** reflectance spectra effectively separated different levels of defoliation and airborne multispectral imagery permitted both visual and quantitative differentiations among defoliation *** ground reflectance and airborne imagery were able to differentiate cotton regrowth among different herbicide treatments for cotton stalk *** multispectral and hyperspectral imagery accurately identified root rot-infected areas within cotton *** from these studies indicate that remote sensing can be a useful tool for evaluating the effectiveness of cotton defoliation and regrowth control strategies and for detecting and mapping root rot damage in cotton *** with traditional visual observations and ground measurements,remote sensing techniques have the potential for effective and accurate assessments of various cotton production operations and pest conditions.

关键词： remote sensing cotton defoliation regrowth control root rot reflectance spectrum airborne multispectral imagery airborne hyperspectral imagery