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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 Technology College of Electric Power Inner Mongolia University of Technology School of Pharmacy and Life Sciences Robert Gordon University Department of Energy Technology Aalborg University

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 ga

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

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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

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Critical Review on Improved Electrochemical Impedance Spectroscopy-cuckoo Search-Elman Neural Network Modeling Methods for Whole-life-cycle Health State Estimation of Lithium-ion Battery Energy Storage Systems

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Protection and Control of Modern Power Systems 2024年第2期9卷 75-100页

作者： Ran Xiong shunli wang Paul Takyi-Aninakwa Siyu Jin Carlos Fernandez Qi Huang Weihao Hu Wei Zhan School of Information Engineering Southwest University of Science and TechnologyMianyangChina School of Information Engineering Southwest University of Science and TechnologyMianyang621010 China Mechanical Engineering from Kwame Nkrumah Uni-versity of Science and Technology Ghana Northeastern University ShenyangChina Robert Gordon University Scotland Southwest University of Science and Technology(SWUST) Mian-yangChina University of Electronic Science and Technology of China ChengduChina Xi’an Jiaotong University Xi’anChina SPIC Southwest Energy Research Institute ChengduChina

Efficient and accurate health state estimation is crucial for lithium-ion battery(LIB)performance monitoring and economic *** estimating the health state of LIBs online is the key but is also the most difficult task for energy storage *** high adaptability and applicability advantages,battery health state estimation based on data-driven techniques has attracted extensive attention from researchers around the *** neural network(ANN)-based methods are often used for state estimations of *** one of the ANN methods,the Elman neural network(ENN)model has been improved to estimate the battery state more efficiently and *** this paper,an improved ENN estimation method based on electrochemical impedance spectroscopy(EIS)and cuckoo search(CS)is established as the EIS-CS-ENN model to estimate the health state of ***,the paper conducts a critical review of various ANN models against the EIS-CS-ENN *** demonstrates that the EIS-CS-ENN model outperforms other *** review also proves that,under the same conditions,selecting appropriate health indicators(HIs)according to the mathematical modeling ability and state requirements are the keys in estimating the health state *** the calculation process,several evaluation indicators are adopted to analyze and compare the modeling accuracy with other existing *** the analysis of the evaluation results and the selection of HIs,conclusions and suggestions are put ***,the robustness of the EIS-CS-ENN model for the health state estimation of LIBs is verified.

关键词： Lithium-ion battery health state esti-mation elman neural network electrochemical imped-ance spectroscopy cuckoo search health indicators

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近年来中国式现代化问题研究的回顾与展望

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山东大学学报（哲学社会科学版） 2024年第4期 1-13页

作者：沈成飞王顺利中山大学马克思主义学院广州510275

近年来,“中国式现代化”成为学界讨论的热点问题。已有研究主要围绕五个方面展开:对中国式现代化的内涵、特征等基本问题和具体内容的探讨和总结,从理论维度阐释中国式现代化的科学性和合理性,从历史维度理解中国式现代化的发展脉络,... 详细信息

近年来,“中国式现代化”成为学界讨论的热点问题。已有研究主要围绕五个方面展开:对中国式现代化的内涵、特征等基本问题和具体内容的探讨和总结,从理论维度阐释中国式现代化的科学性和合理性,从历史维度理解中国式现代化的发展脉络,从现实维度分析中国式现代化的推进路径和未来发展,从中外比较视域把握中国式现代化所具有的现代化共同特征与中国特色。现有研究在宏观分析的基础上日益走向精细化,问题性学术取向明显增强,初步构建起了中国式现代化的研究谱系。为进一步推进中国式现代化研究,学界应增强理论阐释的学理性和学术对话的主动性,将宏观历史梳理和微观具体考察相结合,强化中国式现代化问题的实证研究,加强与西方学者在现代化研究方面的学术对话。

关键词：中国式现代化中国共产党学术对话问题导向

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纳入量子效应的变阱宽方阱链流体状态方程

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中国科学：化学 2024年第7期54卷 1135-1142页

作者：李佳书王顺利贺青春叶青李进龙江苏省绿色催化材料与技术重点实验室常州大学石油化工学院常州213164 中盐常州化工股份有限公司常州213200

氦、氢等小分子物质在低温高密区常呈现出显著的量子效应,经典分子热力学方法难以精确描述.在统计缔合流体理论框架下,我们将表征量子效应的特征参数德布罗意波长引入修正经典方阱势能函数的作用范围,构建了新的可高精度描述具量子效应... 详细信息

氦、氢等小分子物质在低温高密区常呈现出显著的量子效应,经典分子热力学方法难以精确描述.在统计缔合流体理论框架下,我们将表征量子效应的特征参数德布罗意波长引入修正经典方阱势能函数的作用范围,构建了新的可高精度描述具量子效应流体热力学性质的变阱宽方阱链状态方程(QSWCF-VR),将描述常规流体和具量子效应流体热力学性质的模型统一到同一理论框架.基于氦、氢、氘、氖纯组分气液平衡实验数据,获得了表征各纯物质特性的分子参数,并据此高精度预测了它们的完整相图和临界性质.本工作可为具量子效应流体热力学性质描述及氢能应用等提供理论支撑.

关键词：状态方程量子效应方阱链相平衡

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Prediction of network public opinion features in urban planning based on geographical case-based reasoning

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International Journal of Digital Earth 2022年第1期15卷 890-910页

作者： Rui Li Jingqi wang shunli wang Huayi Wu State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Hubei Luojia Laboratory WuhanPeople’s Republic of China Collaborative Innovation Center of Geospatial Technology WuhanPeople’s Republic of China

As a significant part of sustainable urban development proposed by the United Nations,urban planning is related to the ecological environment and transportation,especially affecting quality of life and social well-being. In the process of urban planning,the public express their opinions on open network platforms,resulting in large quantities of network public opinion data,which has important implications for evaluating urban planning. Based on the idea of geographical case-based reasoning (CBR),this paper constructs an expression framework for urban planning cases in the form of a ‘case problem–case attribute–case result’ triad. On this basis,this paper proposes a similarity calculation method of urban planning cases that integrates case attribute. Finally,based on an improvement to the traditional k-nearest neighbors method,the proposed public opinion feature calculation model considers similarity weights,which allow us to predict network public opinion features,including viewpoint-level emotional tendency and concerned groups of urban planning cases. The experimental result shows similarity weights (SWs) model could effectively improve the prediction accuracy,where the average MIC-F1 score reached more than 74%. Based on CBR,the proposed method can predict the development trends of public opinion in future planning cases,and provide scientific and reasonable decision support for urban planning.

关键词： Geographic case-based reasoning urban planning case similarity weight prediction of public opinion features

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基于磁控溅射系统的大尺寸Ga_(2)O_(3)薄膜沉积模型与性能研究

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浙江理工大学学报（自然科学版） 2024年第3期51卷 310-318页

作者：肖厚恩王顺利浙江理工大学材料科学与工程学院杭州310018 浙江理工大学理学院杭州310018 浙江理工大学常山研究院有限公司浙江衢州324200

薄膜型Ga_(2)O_(3)光电探测器具有成本低廉、性能优异、可重复性高等优点,实现Ga_(2)O_(3)薄膜大尺寸均匀生长对批量制备薄膜型Ga_(2)O_(3)光电探测器具有重要意义。为了实现大尺寸Ga_(2)O_(3)薄膜的高效生长,采用Matlab软件对磁控溅射... 详细信息

薄膜型Ga_(2)O_(3)光电探测器具有成本低廉、性能优异、可重复性高等优点,实现Ga_(2)O_(3)薄膜大尺寸均匀生长对批量制备薄膜型Ga_(2)O_(3)光电探测器具有重要意义。为了实现大尺寸Ga_(2)O_(3)薄膜的高效生长,采用Matlab软件对磁控溅射系统中倾斜圆形平面靶与旋转水平工作台上Ga_(2)O_(3)薄膜沉积模型进行了仿真,分析了靶基距和溅射靶转动角度对薄膜性能的影响,并进行了实验验证。结果表明:靶基距的增加会提高沉积薄膜的均匀性,在一定的靶基距下溅射靶转动角度的增加会使薄膜均匀性先提高后降低,Ga_(2)O_(3)薄膜均匀性实验分析结果与仿真结果基本一致;在靶基距为100 mm、溅射靶转动角度为35°的条件下,在蓝宝石衬底上沉积得到了平均厚度偏差为1.27%的Ga_(2)O_(3)薄膜;以沉积的薄膜批量制备Ga_(2)O_(3)光电探测器,得到的光电探测器对254 nm的光源具有基本一致的光响应。该研究为大批量制备高质量Ga_(2)O_(3)薄膜探测器提供了一定的理论依据。

关键词： Ga_(2)O_(3) 磁控溅射大尺寸倾斜圆型平面靶 Matlab

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广西歧舌苔属植物研究及一中国新记录种毛缘歧舌苔

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西北植物学报 2024年第8期44卷 1338-1344页

作者：王顺莉韦玉梅唐启明何文钏彭涛贵州师范大学生命科学学院贵阳550025 广西壮族自治区中国科学院广西植物研究所广西喀斯特植物保育与恢复生态学重点实验室广西桂林541006 国家公园局新加坡植物园新加坡259569

【目的】了解歧舌苔属植物在广西的实际分布情况,为广西苔藓植物研究增加新资料的同时,也为中国苔藓植物多样性保护添加必要的基础数据。【方法】通过野外调查结合广西植物标本馆(IBK)馆藏标本的核查,获得歧舌苔属植物研究材料,经室内... 详细信息

【目的】了解歧舌苔属植物在广西的实际分布情况,为广西苔藓植物研究增加新资料的同时,也为中国苔藓植物多样性保护添加必要的基础数据。【方法】通过野外调查结合广西植物标本馆(IBK)馆藏标本的核查,获得歧舌苔属植物研究材料,经室内形态观察及查阅相关文献,确定其物种多样性。【结果】发现广西歧舌苔属植物标本10份,最终确认广西歧舌苔属植物3种,分别为毛缘歧舌苔[Schistochila sciurea(Nees)Schiffn.]、大歧舌苔[***(Nees&Blume)***&Steph.]、阔叶歧舌苔[***(Nees)Trevis.]。【结论】歧舌苔科以及歧舌苔属均为首次在广西记录的科属,其中毛缘歧舌苔是中国新记录种。文章对毛缘歧舌苔的形态特征进行详细描述,对另外2个种主要形态特征进行归纳,并提供各个种的引证标本信息、地理分布以及彩色图版。

关键词：歧苔类植物歧舌苔属广西新分布

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基于二阶RC等效电路和SR-DUKF算法的锂电池SOC估算研究

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电源学报 2024年第4期22卷 236-242页

作者：贾先屹王顺利曹文乔家璐西南科技大学信息工程学院绵阳621010 中国电源学会

锂离子电池的荷电状态是电池管理系统BMS(battery management system)运维的重要参数,对其准确估算关系到锂离子电池的实时监测和安全控制。传统无迹卡尔曼滤波UKF(unscented Kalman filter)算法在估算锂电池SOC时有使协方差矩阵负定的... 详细信息

锂离子电池的荷电状态是电池管理系统BMS(battery management system)运维的重要参数,对其准确估算关系到锂离子电池的实时监测和安全控制。传统无迹卡尔曼滤波UKF(unscented Kalman filter)算法在估算锂电池SOC时有使协方差矩阵负定的风险,存在估计精度不高的问题。为解决该算法的不足,以三元锂电池为研究对象,建立二阶RC等效电路模型对电池的工作特性进行表征,在传统的UKF算法基础上提出一种双UT变换的平方根无迹卡尔曼滤波SR-DUKF(square-root double unscented Kalman filter)算法,并结合多种工况对改进后的算法进行验证。实验结果表明,改进后的SR-DUKF算法通过二阶RC等效电路能够较好地对锂离子电池SOC进行估算,在HPPC、BBDST工况下的平均误差分别为0.59%、0.52%,2种工况下的收敛时间分别为60 s和110 s,验证了改进后SR-DUKF算法具有更高的估算精度、更好的收敛性及更优的鲁棒性。

关键词：锂离子电池二阶RC模型荷电状态平方根双无迹卡尔曼滤波电池管理系统

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Utilization of surface differences to improve dyeing properties of poly（m-phenylene isophthalamide） membranes

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Frontiers of Materials Science 2018年第2期12卷 129-138页

作者： Shenshen OUYANG Tao wang Longgang ZHONG shunli wang Sheng wang Key Laboratory of Advanced Textile Materials and Manufacturing Technology (Ministry of Education) Zhejiang Sci-Tech University Hangzhou 310018 China

Bulk poly-m-phenylene isophthalamide （PMIA） can achieve flexibility upon dissolution by a LiCI/dimethylacetamide co-solvent, but remains hydrophobic despite the occasional emergence of cis amide groups providing a weak negative charge. In this study, based on the significant surface differences between PMIA membranes processed by nanofiber electrospinning and casting, a series of chemical analyses, in-situ Au nanoparticle depositions, and dye-adsorption experiments revealed that more cisconfiguration amide groups appeared on the surface of the electrospun PMIA membrane than on that of the cast membrane. Based on this surface difference, a strategy was proposed to improve the dyeing properties of PMIA by reversibly changing the cisltrans configurations of electrospun and cast membranes. The reversible chain-segment switch mechanism is a novel method for tuning the macroscale properties of polymer materials based on inherent molecular characteristics.

关键词： wettability polymer surface difference electrospun PMIA interfaces

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