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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： Contrastive Learning

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Targets capture by distributed active swarms via bio-inspired reinforcement learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun xu Yue Li Jun Sun Shuyuan Du Xinpeng Di Yuguang yang Bo Li Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Institute of Nuclear and New Energy Technology Tsinghua University Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural swarms arranged from cells to herds are usually decentralized but display intriguing collective intelligence in coordinating individuals across large scales to efficiently achieve their common goals. Learning from nature may provide new strategies for controlling collective dynamics of synthetic swarms to accomplish specific functions. Here, we present a bioinspired computational framework that steers distributed active swarms to collectively capture and merge targets via reinforcement learning. We exploit collective milling structures of natural herds to cage the targets, and adopt a switching control policy inspired by sperms' chiral dynamics to optimize the trajectories of individuals, through which the active swarms can selforganize to enclose single or multiple distant targets in a dynamical, adaptive and scalable manner. There exists a critical swarm size, beyond which the excessive competition between agents would generate large mechanical forces, leading to capture instability but enabling the transition from short-distance to long-distance merging capture of multiple targets. This work provides physical insights into distributed active swarms and could offer a multilevel, decentralized strategy toward controlling swarm robotics in wide applications such as bio-medical devices, machine immunity, and target clearance.

关键词： swarm intelligence robotics multi-tasks artificial intelligence bionics

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Seismic Performance of Assembled Shear Wall with Defective Sleeve Connection

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Computer Modeling in Engineering & Sciences 2022年第4期131卷 199-217页

作者： hua yan Bo Song Dongsheng xu Guodong Zhang School of Civil and Resource Engineering University of Science and Technology BeijingBeijing100083China School of Architecture and Engineering Langfang Normal UniversityLangfang065000China Beijing International Science and Technology Cooperation Base for Earthquake Research on Mass Transit Railway Project Beijing100083China

In this paper,three kinds of shear walls with full sleeve grouting,fully defective sleeve and partially defective are designed for finite element analysis to analyze the influence of defects on the seismic performance of shear *** research shows that at the beginning of loading(5 s),the three models begin to appear compressive damage at the bottom of the wall in all three *** damage of the defect-free model develops rapidly,and the damage of the fully defective model is basically the same as that of the partially defective *** the gradual increase of displacement control(15 s),the compressive damages at the foot of the wall in the defect-free and partially defective grouting model are obvious,with plastic hinge formed in the foot of the wall,and the phenomenon of development along the pier body showing *** the structure is damaged,the overall compressive damages of the wall in the defect-free and partially defective models are obvious,and the damage on the defective side of the partially defective model is slightly *** the maximum stress of pre-stressed reinforcement in the defect-freemodel is concentrated at the top of the sleeve,themaximumstress of the pre-stressed steel bar in the fully defective model appears at the end of the steel bar in the *** hysteresis curve shape of the non-defectmodel and partially defective model are basically the same,showing a“shuttle”shape with a sound energy dissipation *** hysteresis curve shape of the fully defective model appears an obvious“pinch”*** yield displacement levels of the defect-free and partially defective models are smaller than that of the fully defective model *** stiffness degradation curves of the three models basically overlap with one *** the limit displacement,the stiffness results of the non-defect model and the partially defective model are greater than that of the fully defective *** the displacement is loaded to 20 mm,

关键词： Grouting sleeve defects shear wall finite element analysis seismic performance

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大麦、油菜的抗耐病性与过氧化物酶同工酶的关系

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上海师范大学学报（自然科学版） 2001年第3期30卷 52-55页

作者：沈光华许燕庄薇薇上海师范大学生命与环境科学学院上海200234

利用过氧化物酶同工酶分析比较了上海地区大麦抗、感黄花叶病的品种和油菜耐、感菌核病的品种间的酶谱差异 .结果表明 ,两类作物的抗耐病性在酶谱上呈现相同趋势 .感病品种的酶带数量和强度要高于抗耐病品种 .试验显示 ,过氧化物酶同工... 详细信息

利用过氧化物酶同工酶分析比较了上海地区大麦抗、感黄花叶病的品种和油菜耐、感菌核病的品种间的酶谱差异 .结果表明 ,两类作物的抗耐病性在酶谱上呈现相同趋势 .感病品种的酶带数量和强度要高于抗耐病品种 .试验显示 ,过氧化物酶同工酶分析可作为大麦。

关键词：大麦油菜抗耐病性过氧化物酶同工酶酶谱抗病育种

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Enantioselective β-alkenylation of α,β-unsaturated aldehydes via chiral biphosphine ligand modified dirhodium(II) catalysis

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Science China Chemistry 2025年

作者： Guangli xu Hongda Chen Xiaoming Wang State Key Laboratory of Organometallic Chemistry and Shanghai Hongkong Joint Laboratory in Chemical Synthesis Center for Excellence in Molecular Synthesis Shanghai Institute of Organic Chemistry University of Chinese Academy of Sciences Chinese Academy of Sciences School of Chemistry and Materials Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences School of Chemistry and Chemical Engineering Henan Normal University

Dirhodium(II) complexes have achieved great success in organic synthesis,and fine-tuning their catalytic properties with various bridging ligands is well-investigated in carbene ***,combining dirhodium(II) with a sophisticated ligand as a catalyst in other reactions is still extremely challenging,especially for the asymmetric synthesis of valuable chiral ***,we report a dirhodium(II)/(S)-MeO-BIPHEP catalytic system for the challenging asymmetric β-alkenylation of α,β-unsaturated aldehydes,affording the corresponding chiral conjugate addition products in good yields with high enantioselectivities.A couple of drug-derived substrates were also compatible with the protocol,which has been successfully used to prepare biologically relevant pyranochromene *** mechanistic studies suggested that the dirhodium core might remain intact over the catalytic cycle,and the chiral diphosphine ligand plays a key role in this novel reactivity and determining the high enantioselectivities of the asymmetric conjugate addition.

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Suspension of Australian National Electricity Market in 2022 Necessitates Mechanism Evolution Ensuring Power Supply Security

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 674-679页

作者： Zhenfei Tan hua Geng Xiaoyuan xu Sijie Chen Zheng yan Key Laboratory of Control of Power Transmission and Conversion Ministry of Educationand Shanghai Non-Carbon Energy Conversion and Utilization InstituteShanghai Jiao Tong UniversityShanghai 200240China

The National Electricity Market(NEM)in Australia was suspended during June 15-23,2022,with a primary attribution to the lack of available generation *** incident is noteworthy because it was the first market suspension in NEM’s history and took place in a major energy exporting *** this letter,we review the outline and impacts of the *** the perspectives of market regulation,electricity supply,and electricity demand,we identify three underlying causes of the market suspension and offer four recommendations for the market mechanism evolution to ensure power supply security.

关键词： Electricity market administered pricing power system security energy crisis demand response

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Solution for polarimetric radar cross section measurement and calibration

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Journal of Systems Engineering and Electronics 2014年第2期25卷 211-216页

作者： Peikang huang Chao Ning Xiaojian xu hua yan Zhaoguo Hou Science and Technology on Electromagnetic Scattering Laboratory School of Electronic and Information Engineering Beihang University

The exact radar cross-section （RCS） measurement is difficult when the scattering of targets is low. Ful polarimetric cali-bration is one technique that offers the potential for improving the accuracy of RCS measurements. There are numerous polarimetric calibration algorithms. Some complex expressions in these algo-rithms cannot be easily used in an engineering practice. A radar polarimetric coefficients matrix （RPCM） with a simpler expression is presented for the monostatic radar polarization scattering matrix （PSM） measurement. Using a rhombic dihedral corner reflector and a metal ic sphere, the RPCM can be obtained by solving a set of equations, which can be used to find the true PSM for any target. An example for the PSM of a metal ic dish shows that the proposed method obviously improves the accuracy of cross-polarized RCS measurements.

关键词： radar cross section (RCS) polarization scattering ma-trix (PSM) polarimetric calibration polarimetry.

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Inspires effective alternatives to backpropagation:predictive coding helps understand and build learning

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Neural Regeneration Research 2025年第11期20卷 3215-3216页

作者： Zhenghua xu Miao Yu Yuhang Song School of Health Sciences and Biomedical Engineering Hebei University of TechnologyTianjinChina Department of Computer Science University of OxfordOxfordUK

Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.

关键词： assignment learning enable

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机械应力调控血管平滑肌细胞的凋亡

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中国组织工程研究 2025年第5期29卷 1064-1072页

作者：徐飞闫金强柴守栋北京航空航天大学生物与医学工程学院北京市100083 聊城市人民医院中心实验室山东省聊城市252000 聊城市人民医院病理科山东省聊城市252000 聊城市人民医院心外科山东省聊城市252000

背景:随着生物力学的发展,其在心血管疾病中的研究也日益广泛,通过研究血管的力学特性可以有效地揭示动脉粥样硬化、再狭窄等心血管疾病的发病机制,开发心血管疾病治疗的新思路和新方法。目的:综述机械应力刺激对血管平滑肌细胞凋亡的... 详细信息

背景:随着生物力学的发展,其在心血管疾病中的研究也日益广泛,通过研究血管的力学特性可以有效地揭示动脉粥样硬化、再狭窄等心血管疾病的发病机制,开发心血管疾病治疗的新思路和新方法。目的:综述机械应力刺激对血管平滑肌细胞凋亡的研究现状,寻找临床治疗潜在靶分子和信号通路,以期改善临床动脉粥样硬化及再狭窄等心血管疾病的临床治疗效果。方法:检索1992年1月至2023年5月在中国知网、PubMed及ScienceDirect数据库收录的文献。中文检索词为“血管平滑肌细胞,机械应力,剪切力,牵张力,凋亡”;英文检索词为“vascular smooth muscle cell,mechanical stress,shear stress,stretch stress,apoptosis”,最终纳入63篇文献进行综述分析。结果与结论:①血管平滑肌细胞的生理性和病理性凋亡都是为了适应血管力学变化而发生的适应性重构。不同部位的平滑肌细胞承受不同的力学刺激,其发病机制也不同。②低剪切力、生理剪切力和高剪切力可通过直接与平滑肌细胞表面分子、受体及蛋白等作用调控凋亡信号分子和抑制增殖实现对血管平滑肌细胞凋亡的调控,该部分未对促进增殖的研究进行综述。③低牵张力、生理牵张力和高牵张力可导致平滑肌细胞凋亡,但仍存在争议。平滑肌表面存在多种力学感受分子(如整合素及受体络氨酸激酶等)可以将力学信号转导为细胞内的化学信号(如Hippo通路),启动平滑肌细胞的凋亡信号,调控平滑肌细胞的凋亡。④总之,不同力学刺激通过多种信号分子,启动多个信号通路共同作用,调控平滑肌细胞的凋亡,例如剪切力主要通过刺激分泌前列腺素、转化生长因子等影响Fas/FasL、Akt通路;而牵张力主要通过Yes相关蛋白等调控YAP通路和Notch通路等。这些分子在不同的作用时间,或不同作用强度下可能发挥相反的双向作用,比如,小鼠血管平滑肌细胞受到10%生理牵张1 h时,其增殖增加;然而,人的血管平滑肌细胞牵张12 h后可以减少其增殖。临床可以通过寻找其关键作用时间点干扰力学转导关键分子,达到预防和治疗临床心血管疾病的目的。

关键词：血管平滑肌细胞机械应力凋亡牵张力剪切应力整合素受体络氨酸激酶 G蛋白偶联受体和G蛋白离子通道

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复方化学消毒剂中西吡氯铵的高效液相色谱测定研究

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中国消毒学杂志 2018年第3期35卷 171-173页

作者：李放陈蓓朱峰张昊刘华良徐燕江苏省疾病预防控制中心南京210009

目的建立测定复方化学消毒剂中西吡氯铵的高效液相色谱方法。方法样品经流动相提取,以甲醇和0.05 mol/L乙酸铵(pH 5.0)为流动相等度洗脱,氰基色谱柱分离,检测波长为259 nm,外标法定量。结果在2.5~100.0 mg/L范围内线性关系良好(r=0.999 ... 详细信息

目的建立测定复方化学消毒剂中西吡氯铵的高效液相色谱方法。方法样品经流动相提取,以甲醇和0.05 mol/L乙酸铵(pH 5.0)为流动相等度洗脱,氰基色谱柱分离,检测波长为259 nm,外标法定量。结果在2.5~100.0 mg/L范围内线性关系良好(r=0.999 9),两种不同基质中分别添加10、30和60 mg/L,回收率范围90.3%~107.2%,相对标准偏差均<5%,方法检出限为1.0 mg/L,定量限为2.5 mg/L。结论该方法简单、快速、准确,适合于复方化学消毒剂中西吡氯铵的定量分析。

关键词：西吡氯铵高效液相色谱法消毒剂季铵盐阳离子表面活性剂

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