检索结果-南通市图书馆

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

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

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

引用

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

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

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

引用

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.

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

TPS空气桥与内部流场分析

引用

沈阳航空航天大学学报 2015年第2期32卷 33-37页

作者：王凯徐让书韩雷朱建勇沈阳航空航天大学航空航天工程学部(院) 沈阳110136 沈阳航空航天大学辽宁省航空推进系统先进测试技术重点实验室沈阳110136

TPS试验技术是目前风洞试验方法中最先进的涡扇发动机模拟技术,空气桥是TPS风洞试验的动力供给装置,也是TPS风洞试验测量系统的关键部件。简要介绍了TPS和空气桥的工作原理,重点阐述了空气桥的布局与结构以及设计过程中的重点并对国内... 详细信息

TPS试验技术是目前风洞试验方法中最先进的涡扇发动机模拟技术,空气桥是TPS风洞试验的动力供给装置,也是TPS风洞试验测量系统的关键部件。简要介绍了TPS和空气桥的工作原理,重点阐述了空气桥的布局与结构以及设计过程中的重点并对国内外空气桥的研究发展情况作了简单叙述。为了研究高压气体对空气桥内部流场的影响,在最后部分对空气桥内部流场进行了建模和数值模拟并对计算结果进行了分析。

关键词： TPS 空气桥结构内部流场数值模拟

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

某型航空发动机燃烧室出口温度场数值模拟

引用

沈阳航空工业学院学报 2009年第2期26卷 1-4页

作者：吴超徐让书蒲宁李修宝沈阳航空工业学院辽宁沈阳110136

由于航空发动机燃烧室内复杂的物理化学变化,利用数学模拟的方法来计算其温度场,预测燃烧室出口温度分布,对减小燃烧室研制费用,缩短研制周期具有重要意义。采用fluent软件对某型航空发动机环型燃烧室在不同工作状态下的温度场进行了数... 详细信息

由于航空发动机燃烧室内复杂的物理化学变化,利用数学模拟的方法来计算其温度场,预测燃烧室出口温度分布,对减小燃烧室研制费用,缩短研制周期具有重要意义。采用fluent软件对某型航空发动机环型燃烧室在不同工作状态下的温度场进行了数值模拟,得到了不同工况下燃烧室的出口温度分布。计算结果能够很好地反应环形燃烧室温度场的特点,对预测环形燃烧室的出口温度分布有一定参考价值。

关键词：航空发动机燃烧室出口温度分布数值模拟

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

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

引用

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

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

航空发动机燃烧室流动数值计算中湍流模型的比较

引用

沈阳航空工业学院学报 2008年第5期25卷 24-27页

作者：蒲宁徐让书吴超李修宝沈阳航空工业学院动力与能源工程学院辽宁沈阳110136

分别采用标准k-ε湍流模型、RNGk-ε湍流模型、Realizablek-ε湍流模型以及雷诺应力模型,对某型航空发动机燃烧室流动进行了数值计算。近壁处理采用标准壁面函数法,计算得到速度矢量分布以及质量流量、湍流粘度比和湍流强度等参数。四... 详细信息

分别采用标准k-ε湍流模型、RNGk-ε湍流模型、Realizablek-ε湍流模型以及雷诺应力模型,对某型航空发动机燃烧室流动进行了数值计算。近壁处理采用标准壁面函数法,计算得到速度矢量分布以及质量流量、湍流粘度比和湍流强度等参数。四种湍流模型计算的总体流动差别较小,但流场的细节有较明显的不同。标准k-ε模型、Realizablek-ε模型和雷诺应力模型的湍流粘性计算结果较为接近,而RNGk-ε模型计算的湍流粘性较小。

关键词：航空发动机湍流模型数值计算燃烧室

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Analysis of Micromechanical Properties at the Interface of Pre-wet SBS Modified Asphalt Mixture Based on Molecular Simulation Technology

引用

Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 103-113页

作者： CHEN Wuxing CHEN Shuang YU Yan ZHANG Jiangyi xu Haiyang GUO Wei School of Mines China University of Mining and TechnologyXuzhou 221000China College of Construction Engineering Jilin Uni-versityChangchun 130026China

The pre-wetting of aggregate surface is a means to improve the interface performance of SBS modified asphalt and *** effect of pre-wetting technology on the interaction between SBS modified asphalt and aggregate was analyzed by molecular dynamics *** diffusion coefficient and concentration distribution of SBS modified asphalt on aggregate surface are *** simulation results show that the diffusion coefficient of the aggregate surface of SBS modified asphalt is increased by 47.6%and 70.5%respectively after 110#asphalt and 130#asphalt are *** concentration distribution of SBS modified asphalt on the aggregate surface after pre-wetting is more *** to the results of interface energy calculation,the interface energy of SBS modified bitumen and aggregate can be increased by about 5%after *** to the results of molecular dynamics simulation,the pre-wetting technology can effectively improve the interface workability of SBS modified bitumen and aggregate,so as to improve the interface performance.

关键词： pre-wet oil-stone interface interface interaction interface mechanics molecular dynamics simulation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

超级稻先锋组合在长沙与三亚的栽培特性比较研究

引用

湖南农业科学 2010年第1期 19-21,25页

作者：邓锋杨峰熊绪让谢兵白德朗国家杂交水稻工程技术研究中心湖南长沙410125

2008年在长沙、三亚两地进行了5个超级杂交稻先锋组合的示范性栽培,对两地栽培的生态条件、生育特性、经济性状和米质性状等进行了比较和分析。针对两地各有的优质高产栽培的优势条件和不利因素,提出了进行超高产栽培的应对策略。

关键词：超级杂交稻先锋组合栽培特性比较

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

辅助动力装置排气系统气膜冷却效果

引用

沈阳航空航天大学学报 2012年第1期29卷 6-10页

作者：徐让书沙朋朋徐慧思刘涛宗庆贺沈阳航空航天大学航空宇航工程学部沈阳110136 辽宁科技大学材料与冶金学院辽宁鞍山114051

为研究辅助动力装置(APU)排气系统的冷却空气引射孔、引射缝以及飞机后整流罩形状等对冷却效果的影响,采用商业CFD软件Fluent,选用realizable k-ε湍流模型和DO热辐射模型建立了13个有不同引射孔位置、引射缝尺寸和飞机尾罩形状的排气... 详细信息

为研究辅助动力装置(APU)排气系统的冷却空气引射孔、引射缝以及飞机后整流罩形状等对冷却效果的影响,采用商业CFD软件Fluent,选用realizable k-ε湍流模型和DO热辐射模型建立了13个有不同引射孔位置、引射缝尺寸和飞机尾罩形状的排气系统流动和传热数值计算模型,得到了流场、温度场和热流分布。计算结果表明,冷却空气引射缝大小、引射孔的位置与形状面积以及后整流罩形状对APU排气系统的气膜冷却效果有重要影响。

关键词：辅助动力装置排气引射温度气膜冷却数值计算

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：