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基于部分功率调控的有源–无源电容分裂叠加式高峰均比低频脉冲功率平抑方法

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中国电机工程学报 2023年第3期43卷 1154-1162页

作者：张佐乾吴红飞杨帆高桪单鹏邢岩多电飞机电气系统工信部重点实验室(南京航空航天大学) 江苏省南京市210016 南京邮电大学自动化学院江苏省南京市210023

高峰均比低频脉冲电流载荷影响航天器电源系统高效稳定运行,基于大容量储能电容阵的脉冲功率被动平抑技术极大增加航天器系统的体积重量。以降低航天器电源系统体积重量为目标,提出基于部分功率调控的脉冲功率平抑方法。通过将无源解耦... 详细信息

高峰均比低频脉冲电流载荷影响航天器电源系统高效稳定运行,基于大容量储能电容阵的脉冲功率被动平抑技术极大增加航天器系统的体积重量。以降低航天器电源系统体积重量为目标,提出基于部分功率调控的脉冲功率平抑方法。通过将无源解耦电容分裂为有源电容与无源解耦电容串联,不仅为负载提供稳定的供电电压,而且大幅增加解耦电容电压波动范围、减小解耦电容体积重量。由于有源电容仅需提供部分脉冲负载功率,有效降低了脉冲功率主动平抑所需额外增加的功率电路容量、体积重量和损耗。文中详细分析所提脉冲平抑系统架构、电路实现及其控制方法,实验结果证明了所提方法的可行性和有效性。

关键词：空间电源高峰均比脉冲功率功率解耦部分功率变换有源电容

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多媒体网络教学的思考与对策

高等教育研究学报 2002年第3期25卷 87-88页

作者：张作前海军航空工程学院青岛分院物理教研室副教授266041

多媒体网络教学对现行的教育理论、教育思想和教育方法将产生变革性的影响。本文仅就网络教学的基本形式、特点及其对现行教育模式的潜在影响与对策进步初步探讨。

关键词：多媒体网络教学教学形式交互式学习师生交流教学方法

不同加工阶段对上海熏鱼（草鱼）风味物质的影响

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食品科学 2019年第16期40卷 160-168页

作者：薛永霞张作乾张洪才张菊卫赛超陈舜胜上海海洋大学食品学院上海201306 国家淡水水产品加工技术研发中心(上海) 上海201306

以草鱼鱼肉为研究对象,探究不同加工阶段对上海熏鱼风味物质的影响。通过高效液相色谱法、氨基酸自动分析法和固相微萃取-气相色谱-质谱联用技术对5个加工阶段(生鲜草鱼、一次浸渍、生鲜油爆、一次浸渍后油爆和上海熏鱼(一次浸渍后油爆... 详细信息

以草鱼鱼肉为研究对象,探究不同加工阶段对上海熏鱼风味物质的影响。通过高效液相色谱法、氨基酸自动分析法和固相微萃取-气相色谱-质谱联用技术对5个加工阶段(生鲜草鱼、一次浸渍、生鲜油爆、一次浸渍后油爆和上海熏鱼(一次浸渍后油爆再二次浸渍))中的风味物质进行分析和鉴定。结果表明,各阶段肌苷酸含量呈逐渐上升趋势,是主要的呈鲜味核苷酸。游离氨基酸总量和呈味氨基酸含量也逐渐升高,并呈现显著性差异,其中天冬氨酸和谷氨酸对上海熏鱼风味影响最大。生鲜草鱼、一次浸渍、生鲜油爆、一次浸渍后油爆和上海熏鱼中挥发性物质依次为36、75、34、73、78种,主要由醛类、酮类、醇类和烃类构成。因此,浸渍和油爆是上海熏鱼风味物质形成的主要阶段,并有效改善了草鱼鱼体的腥味。

关键词：草鱼核苷酸游离氨基酸挥发性成分腥味加工阶段

Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

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Energy Engineering 2025年第1期122卷 203-220页

作者： Yu zhang Daoyu zhang TiezhouWu School of Electrical and Electronic Engineering Hubei University of TechnologyWuhan430068China

Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery ***,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity ***,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model *** address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural ***,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity ***,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network *** validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging *** experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.

关键词： Lithium-ion battery state of health differential thermal voltammetry Sparrow Search Algorithm

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中国烟气轮机组远程监测中心的研究及应用

中外能源 2008年第A1期13卷 50-53,71页

作者：张玉峰梁婕张作谦伉大俪中国石油兰州石油化工公司机械厂甘肃兰州730060 大连圣力来监测技术有限公司辽宁大连160031

针对国内YL系列烟气轮机的特点和各用户的实际运行情况,介绍了基于MD-BaseTM数据库的烟气轮机远程监测中心设计思想、体系结构、主要功能、关键技术以及远程中心服务器。并以应用实例说明了该远程监测中心的运行方式和主要特点。

关键词：远程监测烟气轮机组故障分析

高峰均比脉冲功率独立电源系统关键技术研究综述

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电气工程学报 2023年第1期18卷 43-55页

作者：张佐乾吴红飞杨帆杜益如余海涛刘越邢岩南京航空航天大学多电飞机电气系统工信部重点实验室南京210016 南京邮电大学自动化学院南京210023

高性能电源系统是星载、机载、舰载和车载电子装备发展的基础,脉冲功率型电子载荷有效提升了装备的技战术性能,但也为各类装备独立电源系统带来新的挑战。负载功率的大幅频繁脉动,不仅影响电源系统供电质量,而且威胁电源系统的安全性、... 详细信息

高性能电源系统是星载、机载、舰载和车载电子装备发展的基础,脉冲功率型电子载荷有效提升了装备的技战术性能,但也为各类装备独立电源系统带来新的挑战。负载功率的大幅频繁脉动,不仅影响电源系统供电质量,而且威胁电源系统的安全性、稳定性和可靠性。从脉冲功率负载与电源系统的相互作用及其影响、脉冲能量管理技术、脉冲功率平抑技术、脉冲功率独立电源系统的建模和稳定性分析技术等方面,对面向高峰均比脉冲功率负载的独立电源系统关键技术进行全面综述,并进一步总结了脉冲功率电源系统面临的技术挑战,展望了高性能脉冲功率电源系统进一步发展的技术方向。

关键词：脉动功率能量管理脉冲平抑动态响应稳定性分析

同方期刊数据库博看期刊评论

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混合式教学模式在士官物理教学中的实践

电子技术（上海） 2020年第4期49卷 92-93页

作者：王永瑛姜先策张作前海军航空大学青岛校区山东266041

基于职业技术教育的实用物理课程,开展网络线上与线下混合式教学实践,以学生为主体的教学理念,设计混合式教学方案,实施后取得了良好的教学效果。

关键词：互联网混合式教学职业教育物理教学

A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection

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Computers, Materials & Continua 2025年第1期82卷 521-542页

作者： Xiaoyun Chen Lanyao zhang Xiaoling Chen Yigang Cen Linna zhang Fugui zhang School of Mechanical Engineering Guizhou UniversityGuiyang550025China School of Computer Science and Technology Beijing Jiaotong UniversityBeijing100044China

Solar cell defect detection is crucial for quality inspection in photovoltaic power generation *** the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it challenging to collect defective ***,the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective *** paper proposes a novel Lightweight Multiscale Feature Fusion network(LMFF)to address these *** network comprises a feature extraction network,a multi-scale feature fusion module(MFF),and a segmentation ***,a feature extraction network is proposed to obtain multi-scale feature outputs,and a multi-scale feature fusion module(MFF)is used to fuse multi-scale feature information *** order to capture finer-grained multi-scale information from the fusion features,we propose a multi-scale attention module(MSA)in the segmentation network to enhance the network’s ability for small target ***,depthwise separable convolutions are introduced to construct depthwise separable residual blocks(DSR)to reduce the model’s parameter ***,to validate the proposed method’s defect segmentation and localization performance,we constructed three solar cell defect detection datasets:SolarCells,SolarCells-S,and *** and SolarCells-S are monocrystalline silicon datasets,and PVEL-S is a polycrystalline silicon *** results show that the IOU of our method on these three datasets can reach 68.5%,51.0%,and 92.7%,respectively,and the F1-Score can reach 81.3%,67.5%,and 96.2%,respectively,which surpasses other commonly usedmethods and verifies the effectiveness of our LMFF network.

关键词： Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block

Bilevel Optimal Scheduling of Island Integrated Energy System Considering Multifactor Pricing

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Energy Engineering 2025年第1期122卷 349-378页

作者： Xin zhang Mingming Yao Daiwen He Jihong zhang Peihong Yang Xiaoming zhang School of Automation and Electrical Engineering Inner Mongolia University of Science and TechnologyBaotou014010China

In this paper,a bilevel optimization model of an integrated energy operator(IEO)–load aggregator(LA)is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy system(IIES).The upper level represents the integrated energy operator,and the lower level is the electricity-heatgas load *** to the benefit conflict between the upper and lower levels of the IIES,a dynamic pricing mechanism for coordinating the interests of the upper and lower levels is proposed,combined with factors such as the carbon emissions of the IIES,as well as the lower load interruption *** price of selling energy can be dynamically adjusted to the lower LA in the mechanism,according to the information on carbon emissions and load interruption *** benefits and win-win situations are achieved between the upper and lower ***,CPLEX is used to iteratively solve the bilevel optimization *** optimal solution is selected according to the joint optimal discrimination *** results indicate that the sourceload coordinate operation can reduce the upper and lower operation *** the proposed pricingmechanism,the carbon emissions and load interruption power of IEO-LA are reduced by 9.78%and 70.19%,respectively,and the capture power of the carbon capture equipment is improved by 36.24%.The validity of the proposed model and method is verified.

关键词： Bilevel optimal scheduling load aggregator integrated energy operator carbon emission dynamic pricing mechanism