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A Generic Battery Model and Its Parameter Identification

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Energy and Power Engineering 2018年第1期10卷 10-27页

作者： Datong Song Colin Sun qianpu wang Darren Jang Energy Ming and Environment Research Centre National Research Council of Canada Vancouver Canada

A new dynamic model is developed in this paper based on the generic MATLAB battery model. The battery capacity is expressed as a function of the self-discharge rate, the discharge current, the cycling life and the temperature of the battery. The dependence of the model parameters on cycle life and temperature are estimated from the first order approximation. The detailed procedures and formula to extract the model parameters are presented and the extraction relies only on the discharge curves at two different discharge currents, at two different life cycles, and at two different temperatures. These discharge curves are typically provided in the battery manufacturer’s datasheet. The proposed model is verified for both nickel-metal hydride and lithium-ion batteries by comparing the calculated discharge curves with the results from the generic MATLAB model. The model is further validated for the Sinopoly lithium-ion battery (SP-LFP1000AHA) by comparing the model results with the discharge curves from the manufacturer’s datasheet at different discharge currents, different cycling numbers, and different temperatures. Simulation results show that the new model can correctly predict voltage separation beyond the nominal zone while maintaining the same level of accuracy as the generic MATLAB model in the exponential and nominal zones.

关键词： Battery Model Parameter Identification Self-Discharge Capacity Fade/Degradation Cycling Life

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反应溅射沉积技术制备燃料电池催化层的模拟

工程热物理学报 2014年第1期35卷 95-99页

作者：胡桂林 Neagu R wang qianpu 李国能张治国郑友取浙江科技学院轻工学院浙江杭州310023 Institute for Fuel Cell Innovation National Research CouncilBCCanadaV6T1W5

反应溅射沉积技术(RSDT)可以生成纳米大小的颗粒并有效溅射形成性能稳定的催化层,是一项崭新的催化层制备技术。为从理论上研究RSDT过程的复杂物理化学过程,本文提出了RSDT过程的三维综合数学模型,模型描述了流体流动、热/质传递,并与... 详细信息

反应溅射沉积技术(RSDT)可以生成纳米大小的颗粒并有效溅射形成性能稳定的催化层,是一项崭新的催化层制备技术。为从理论上研究RSDT过程的复杂物理化学过程,本文提出了RSDT过程的三维综合数学模型,模型描述了流体流动、热/质传递,并与燃料气的化学反应和液滴的燃烧相耦合。RNGκ-ε模型用于描述湍动燃烧气流,液滴的跟踪和分析在拉格朗日框架下进行,并利用Monte Carlo方法生成了催化层的表面结构。计算结果可以为该技术的优化提供一定的参考。

关键词：反应溅射沉积技术数值模拟 RNG k—ε模型蒙特卡洛法多组分反应

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高校图书馆服务的社会化优势与模式研究

科教文汇 2014年第33期 221-222页

作者：王倩璞陕西财经职业技术学院图书馆陕西咸阳712000

随着时代的发展与社会的进步,我国的教育也在不断接受改革,目前大部分高校图书馆是处于封闭状态的,它们必须利用自身优势向社会开放,以便服务于社会,在开发与传递信息的同时促进自身发展。文章简要介绍了高校图书馆服务在资源、技术、... 详细信息

随着时代的发展与社会的进步,我国的教育也在不断接受改革,目前大部分高校图书馆是处于封闭状态的,它们必须利用自身优势向社会开放,以便服务于社会,在开发与传递信息的同时促进自身发展。文章简要介绍了高校图书馆服务在资源、技术、人才、资金、空间、地域以及服务等方面的社会化优势,以及促进开展社会化服务模式的几项措施,使高校图书馆可逐渐开拓新的服务领域,拓展自身的生存空间。

关键词：高校图书馆服务社会化优势措施

PEMFC催化层参数优化的聚团模型和数值模拟

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PEMFC催化层参数优化的聚团模型和数值模拟

The reformation of catalyst:From a trial-and-error synthesis to rational design

能源高效清洁利用及新能源技术——2012动力工程青年学术论坛暨第五届青年学术年会

作者：胡桂林 qianpu wang 李国能郑友取张治国浙江科技学院轻工学院 Institute for Fuel Cell Innovation National Research Council Canada

为深入揭示催化层的孔隙大小、聚合物含量、Pt载量等对电池性能的影响,从而优化电池催化层的性能,本文建立了一个一维稳态、非等温的PEMFC综合数学模型。阳极和阴极催化层内的反应采用聚团模型予以描述,模型考虑了阴极水生成的不同形态... 详细信息

为深入揭示催化层的孔隙大小、聚合物含量、Pt载量等对电池性能的影响,从而优化电池催化层的性能,本文建立了一个一维稳态、非等温的PEMFC综合数学模型。阳极和阴极催化层内的反应采用聚团模型予以描述,模型考虑了阴极水生成的不同形态对电池性能的影响。分析计算了聚合物含量、Pt载量、聚团直径和孔隙率等对电池性能的影响。结果表明:电池性能随聚合物含量的增加而下降,随Pt载量的增加而上升,随聚团直径的增加而下降,随孔隙率的增加而下降。计算结果对电池催化层的优化设计具有良好的参考价值。

关键词：聚团催化层优化结构参数

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Nano Research 2024年第4期17卷 3261-3301页

作者： Ligang wang Jiabin Wu Shunwu wang Huan Liu Yao wang Dingsheng wang Department of Chemistry Tsinghua UniversityBeijing 100084China

The appropriate catalysts can accelerate the reaction rate and effectively boost the efficient conversion of various molecules,which is of great importance in the study of chemistry,chemical industry,energy,materials and environmental ***,efficient,environmentally friendly,and easy to operate synthesis methods have been used to prepare various types of *** previous studies have reported the synthesis and characterization of the aforementioned catalysts,more still remain in trial and error methods,without in-depth consideration and improvement of traditional synthesis ***,we comprehensively summarize and compare the preparation methods of the trial-and-error synthesis strategy,structure–activity relationships and density functional theory(DFT)guided catalysts rational design for nanomaterials and atomically dispersed *** also discuss in detail the utilization of the nanomaterials and single atom catalysts for converting small molecules(H_(2)O,O_(2),CO_(2),N_(2),etc.)into value-added products driven by electrocatalysis,photocatalysis,and ***,the challenges and outlooks of mass preparation and production of efficient and green catalysts through conventional trial and error synthesis and DFT theory are featured in accordance with its current development.

关键词： trial-and-error synthesis structure–activity relationships density functional theory(DFT)guidance nanomaterials atomically dispersed catalysts

Numerical Analysis of PRISM-PY Calculations for Hard-and Soft-Core Generic Polymer Models

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Chinese Journal of Polymer Science 2024年第4期42卷 532-543页

作者： Qiang wang Department of Chemical and Biological Engineering Colorado State University1370 Campus DeliveryFort CollinsCO80523-1370USA

Generic polymer models capturing the chain connectivity and excluded-volume interactions between polymer segments can be classified, according to whether or not the 3D integral of the latter diverges, into hard- and soft-core models. Taking homogeneous systems of compressible homopolymer melts (or equivalently homopolymer solutions in an implicit, good solvent) in the continuum as an example, we recently compared the correlation effects on the structural and thermodynamic properties of the hard- and soft-core models given by the polymer reference interaction site model (PRISM) theory with the Percus-Yevick (PY) closure (Polymers 2023, 15, 1180). Here we analyzed in detail the numerical errors and behavior of the interchain pair correlation functions (PCFs) given by the PRISM-PY calculations of these models using an efficient numerical approach that we proposed. Our numerical approach has the least number of independent variables to be iteratively solved, analytically treats the discontinuities caused by the non-bonded pair potential (such as that of the hard spheres) and takes only the inverse Fourier transform of the interchain indirect PCF between polymer segments (which is continuous and decays towards 0 with increasing wavenumber much faster than both the interchain direct and total PCFs), and is essential for us to accurately solve the PRISM-PY theory for chain length N as large as 106. To capture the correlation-hole effect, the real-space cut-off in the PRISM calculations should be proportional to the square root of N.

关键词： Generic polymer models Soft potentials Polymer reference interaction site model theory

Linear-Quadratic Pareto Cooperative Game for Mean-Field Backward Stochastic System

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Journal of Systems Science & Complexity 2024年第3期37卷 947-964页

作者： wang Yu School of Control Science and Engineering Shandong UniversityJinan 250061China

This paper focuses on a Pareto cooperative differential game with a linear mean-field backward stochastic system and a quadratic form cost functional. Based on a weighted sum optimality method, the Pareto game is equivalently converted to an optimal control problem. In the first place,the feedback form of Pareto optimal strategy is derived by virtue of decoupling technology, which is represented by four Riccati equations, a mean-field forward stochastic differential equation(MF-FSDE),and a mean-field backward stochastic differential equation(MF-BSDE). In addition, the corresponding Pareto optimal solution is further obtained. Finally, the author solves a problem in mathematical finance to illustrate the application of the theoretical results.

关键词： Backward stochastic differential equation linear-quadratic control mean-field Pareto optimality

A multi-source information fusion layer counting method for penetration fuze based on TCN-LSTM

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Defence Technology（防务技术） 2024年第3期33卷 463-474页

作者： Yili wang Changsheng Li Xiaofeng wang Nanjing University of Science and Technology Nanjing 210094JiangsuChina State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China

When employing penetration ammunition to strike multi-story buildings,the detection methods using acceleration sensors suffer from signal aliasing,while magnetic detection methods are susceptible to interference from ferromagnetic materials,thereby posing challenges in accurately determining the number of *** address this issue,this research proposes a layer counting method for penetration fuze that incorporates multi-source information fusion,utilizing both the temporal convolutional network(TCN)and the long short-term memory(LSTM)recurrent *** leveraging the strengths of these two network structures,the method extracts temporal and high-dimensional features from the multi-source physical field during the penetration process,establishing a relationship between the multi-source physical field and the distance between the fuze and the target plate.A simulation model is developed to simulate the overload and magnetic field of a projectile penetrating multiple layers of target plates,capturing the multi-source physical field signals and their patterns during the penetration *** analysis reveals that the proposed multi-source fusion layer counting method reduces errors by 60% and 50% compared to single overload layer counting and single magnetic anomaly signal layer counting,*** model's predictive performance is evaluated under various operating conditions,including different ratios of added noise to random sample positions,penetration speeds,and spacing between target *** maximum errors in fuze penetration time predicted by the three modes are 0.08 ms,0.12 ms,and 0.16 ms,respectively,confirming the robustness of the proposed ***,the model's predictions indicate that the fitting degree for large interlayer spacings is superior to that for small interlayer spacings due to the influence of stress waves.

关键词： Penetration fuze Temporal convolutional network(TCN) Long short-term memory(LSTM) Layer counting Multi-source fusion

FlowGANAnomaly: Flow-Based Anomaly Network Intrusion Detection with Adversarial Learning

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Chinese Journal of Electronics 2024年第1期33卷 58-71页

作者： Zeyi LI Pan wang Zixuan wang School of Computer Science Nanjing University of Posts and Telecommunications School of Modern Posts Nanjing University of Posts and Telecommunications School of Internet of Things Nanjing University of Posts and Telecommunications

In recent years, low recall rates and high dependencies on data labelling have become the biggest obstacle to developing deep anomaly detection(DAD) techniques. Inspired by the success of generative adversarial networks(GANs) in detecting anomalies in computer vision and imaging, we propose an anomaly detection model called Flow GANAnomaly for detecting anomalous traffic in network intrusion detection systems(NIDS). Unlike traditional GAN-based approaches, which are composed of a flow encoder, a convolutional encoder-decoder-encoder, a flow decoder and a convolutional encoder, the architecture of this model consists of a generator(G) and a discriminator(D).Flow GANAnomaly maps the different types of traffic feature data from separate datasets to a uniform feature space,thus can capture the normality of network traffic data more accurately in an adversarial manner to mitigate the problem of the high dependence on data labeling. Moreover, instead of simply detecting the anomalies by the output of D, we proposed a new anomaly scoring method that integrates the deviation between the output of two Gs’ convolutional encoders with the output of D as weighted scores to improve the low recall rate of anomaly detection. We conducted several experiments comparing existing machine learning algorithms and existing deep learning methods(Auto Encoder and VAE) on four public datasets(NSL-KDD, CIC-IDS2017, CIC-DDo S2019, and UNSW-NB15). The evaluation results show that Flow GANAnomaly can significantly improve the performance of anomaly-based NIDS.

关键词： Deep learning Machine learning algorithms Computational modeling Network intrusion detection Imaging Telecommunication traffic Generative adversarial networks