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2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)最新文献

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Selective Harmonics Elimination for Nine Level Inverter Based on Linear System Solution 基于线性系统方案的九电平逆变器选择性谐波消除
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210691
C. Buccella, M. G. Cimoroni, Carlo Cecati
{"title":"Selective Harmonics Elimination for Nine Level Inverter Based on Linear System Solution","authors":"C. Buccella, M. G. Cimoroni, Carlo Cecati","doi":"10.1109/IESES45645.2020.9210691","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210691","url":null,"abstract":"An analytical method for elimination of low order harmonics has been setup for a 9-level, single phase cascaded H-bridge inverter. The method requires the solution of a linear system and returns a set of four switching angles capable to delete some predetermined low order harmonics and their multiples, thus improving the quality of the output voltage. In this paper, after a description of the proposed method some simulaiton results and analysis are reported in order to demonstrate the quality of achievable results.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123340164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning Approaches in Battery Management Systems: State of the Art: Remaining useful life and fault detection 电池管理系统中的机器学习方法:最新进展:剩余使用寿命和故障检测
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210642
R. Ardeshiri, Bharat Balagopal, Amro Alsabbagh, Chengbin Ma, M. Chow
{"title":"Machine Learning Approaches in Battery Management Systems: State of the Art: Remaining useful life and fault detection","authors":"R. Ardeshiri, Bharat Balagopal, Amro Alsabbagh, Chengbin Ma, M. Chow","doi":"10.1109/IESES45645.2020.9210642","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210642","url":null,"abstract":"Lithium-ion battery packs have been widely applied in many high-power applications which need battery management system (BMS), such as electric vehicles (EVs) and smart grids. Implementations of the BMS needs a combination between software and hardware, which includes battery state estimation, fault detection, monitoring and control tasks. This paper provides a comprehensive study on the state-of-the-art of machine learning approaches on BMS. It differentiates between these methods on the basis of principle, type, structure, and performance evaluation.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
Assessment of a hydrogen production, storage and utilization system in a demonstrative microgrid 示范性微电网制氢、储氢和利用系统评估
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210669
F. Serra, Mario Petrollese, M. Lucariello, G. Cau
{"title":"Assessment of a hydrogen production, storage and utilization system in a demonstrative microgrid","authors":"F. Serra, Mario Petrollese, M. Lucariello, G. Cau","doi":"10.1109/IESES45645.2020.9210669","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210669","url":null,"abstract":"This paper aims to investigate the expected performance of a hydrogen storage system integrated in a microgrid located in Sardinia (Italy). The microgrid includes several energy production and storage systems and serves a building with a number of offices and laboratories. The hydrogen is produced by two hydrogen generators during the weekends, stored in four stainless steel tanks and used in the following weekdays to partially cover the load demand through a fuel cell and to feed a methanation process. A proper modeling of the hydrogen-based microgrid has been developed and the expected performance in terms of annual hydrogen production and postponed use in the fuel cell have been analyzed. A preliminary economic analysis has been finally conducted for investigating the cost-effectiveness of integrating hydrogen production plants in facilities provided by photovoltaic plants and characterized by low electric demand during the weekends.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116160391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Supercapacitor Assisted Hybrid DC-DC Converter for Applications Powered by Renewable Energy Sources 用于可再生能源的超级电容器辅助混合DC-DC变换器
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210633
Thilanga Ariyarathna, N. Kularatna, D. A. Steyn-Rosse
{"title":"Supercapacitor Assisted Hybrid DC-DC Converter for Applications Powered by Renewable Energy Sources","authors":"Thilanga Ariyarathna, N. Kularatna, D. A. Steyn-Rosse","doi":"10.1109/IESES45645.2020.9210633","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210633","url":null,"abstract":"The unstable and unreliable nature of renewable energy sources such as solar, wind and sea waves, could make them inoperable within next few years as a primary energy source in industry applications although they are not causing any critical environmental problems. Storing energy for temporary basis in batteries is not an effective solution for applications demanding instant high current. Batteries due to their limited cycle and calendar life as well as disposal issues make them less attractive in many renewable applications. Introducing supercapacitors as short term energy storage devices is a viable solution to overcome the above problems. Supercapacitor (SC) assisted low drop-out regulator (SCALDO) is a very low frequency DC-DC converter technique, with high end-to-end efficiency, where the load receives a high slew rate capable low noise output of a linear regulator. In this hybrid DC-DC converter, a switched-mode SC assisted input stage reduces the overall switch count of SCALDO and this helps to reduce switching losses at very high input to output voltage ratios. A series supercapacitor is introduced in the input loop with the transformer providing isolation and SC acts as an electronic shock absorber. Series SC is also acting as short term DC-UPS for the power converter. This paper provides an overview of this novel hybrid power converter, discusses control strategy in detail. Experimental results and simulation outcomes are presented to prove the technical feasibility of the concept.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116241017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation of Energy-saving Control Method for Multi Source District Heating and Cooling System 多源区域供热供冷系统节能控制方法评价
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210670
Michiki Nakano, T. Fukumoto, N. Komoda
{"title":"Evaluation of Energy-saving Control Method for Multi Source District Heating and Cooling System","authors":"Michiki Nakano, T. Fukumoto, N. Komoda","doi":"10.1109/IESES45645.2020.9210670","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210670","url":null,"abstract":"We have proposed a control method for reducing energy consumption of pumps in multi source district heating and cooling system. The method consists of an optimization technology and a control technology to compensate for modeling error. To clarify the effectiveness of the method, the energy saving effect was evaluated in the diversified network configurations and specifications of heating and cooling systems. In the most effective case, the simulation results show the method is able to reduce 8.00 – 10.08% of the total energy consumption of pumps in all cases.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132256684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Battery management system with testing protocols for kW-class vanadium redox flow batteries 电池管理系统与测试协议的千瓦级钒氧化还原液流电池
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210697
Andrea Trovò, M. Guarnieri
{"title":"Battery management system with testing protocols for kW-class vanadium redox flow batteries","authors":"Andrea Trovò, M. Guarnieri","doi":"10.1109/IESES45645.2020.9210697","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210697","url":null,"abstract":"A Battery Management System (BMS) for a kW-class vanadium redox flow battery (VRFB) was developed and is reported in this paper. This kind of BMSs is intrinsically different from those of solid-state batteries, due to the very different battery operating principle. Such BMS was built entirely in-house around a desktop computer provided with LabVIEW software which results in an expandable and flexible system capable of providing the battery with SCADA functions. It acquires and processes all data generated by the thermo-fluid and electric sensors, which are necessary to carry out the subsequent analyses. Moreover, this BMS also creates the feedback signals for controlling every operation, including experiments such as polarization curves plotting and efficiency computation. As regards polarization curves, this algorithm implements an experimental protocol that allows to obtain such performance in reproducible conditions and possibly comparable with those of similar stacks. The efficiency computation algorithm computes the energy absorbed (or delivered) by the battery while acquiring and controlling all signals so as to ensure safe conditions. The management of signal between stack and BMS includes the galvanic insulation of cell and stack voltages, consisting of multiple opto-isolators and a DC/DC transformer.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133277033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Online Data-based Cell State Estimation of a Lithium-Ion Battery 基于数据的锂离子电池状态在线估计
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210644
A. Fill, Arber Avdyli, K. Birke
{"title":"Online Data-based Cell State Estimation of a Lithium-Ion Battery","authors":"A. Fill, Arber Avdyli, K. Birke","doi":"10.1109/IESES45645.2020.9210644","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210644","url":null,"abstract":"To fulfill the battery requirements of an electric vehicle in terms of power, driving range and safety an accurate online estimation of the cell states is essential. In this paper two data-based approaches, which continuously estimate the resistance of each cell with low computational effort and memory capacity needed, are presented. The long- and short-term changes of the estimated resistance distribution are used to give insights into temperature and SoH gradients between the cells of a battery. The algorithms are validated by measurements of a battery, consisting of two modules each containing 50 automotive lithium-ion pouch cells. Decreasing cell temperatures close to the module edges are detected by the algorithms, which is validated by the use of temperature sensors.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115138691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Energy Storage Systems and Charging Technologies for Electric Vehicles 电动汽车的储能系统和充电技术
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/ieses45645.2020.9210634
{"title":"Energy Storage Systems and Charging Technologies for Electric Vehicles","authors":"","doi":"10.1109/ieses45645.2020.9210634","DOIUrl":"https://doi.org/10.1109/ieses45645.2020.9210634","url":null,"abstract":"","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"8 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling Techniques and Virtual Prototyping of Silicon Carbide MOSFET and IGBT Power Modules 碳化硅MOSFET和IGBT功率模块的建模技术和虚拟样机
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210673
G. Bazzano, D. Cavallaro, Alessandra Raffa, Filippo Di Giovanni, Alessandra Manzitto, A. Cascio
{"title":"Modeling Techniques and Virtual Prototyping of Silicon Carbide MOSFET and IGBT Power Modules","authors":"G. Bazzano, D. Cavallaro, Alessandra Raffa, Filippo Di Giovanni, Alessandra Manzitto, A. Cascio","doi":"10.1109/IESES45645.2020.9210673","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210673","url":null,"abstract":"In the fast-growing market of electric vehicles, power modules, used as switching elements for the main traction inverter feeding the electrical motor, are playing a key role. In this context a robust and reliable methodology has to be developed to assess the power modules' electro-thermal behaviour at the early design stage. The final goal of this paper is to describe this methodology, developed by using Finite Element Analysis (FEA) and SPICE circuit simulations, to help define a more robust solution and to verify compliance with the mission profile at hand.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124730307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Non-intrusive load disaggregation via a fully convolutional neural network: improving the accuracy on unseen household 基于全卷积神经网络的非侵入式负荷分解:提高隐性家庭的准确率
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) Pub Date : 2020-09-01 DOI: 10.1109/IESES45645.2020.9210661
L. Massidda, M. Marrocu, Simone Manca
{"title":"Non-intrusive load disaggregation via a fully convolutional neural network: improving the accuracy on unseen household","authors":"L. Massidda, M. Marrocu, Simone Manca","doi":"10.1109/IESES45645.2020.9210661","DOIUrl":"https://doi.org/10.1109/IESES45645.2020.9210661","url":null,"abstract":"The application of load disaggregation techniques based on neural networks is often limited to users included in the training dataset. A methodology based on techniques typical of the semantic segmentation of images has been proposed for this task, which allows to obtain a high accuracy and good generalization. We introduce here a novel data augmentation technique for improving forecasts for unmonitored houses that does not require any interaction with the user, nor further measurements of consumption of household appliances.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133436658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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