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Programmable and Reconfigurable Cyber-Physical Networked Microgrids through Software-Defined Networking 通过软件定义网络的可编程和可重构网络-物理网络微电网
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490123
Yan Li, Liang Du
{"title":"Programmable and Reconfigurable Cyber-Physical Networked Microgrids through Software-Defined Networking","authors":"Yan Li, Liang Du","doi":"10.1109/ITEC51675.2021.9490123","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490123","url":null,"abstract":"Networked microgrids provide promising solutions to modernize the electric power grids. To promote the physical networked microgrids' operations, Software-Defined Networking (SDN) technology is used to establish a programmable communication network for the physical system. By using OpenFlow protocol, SDN separates the data plane from its control plane, which makes it easy to flexibly program the cyber-layer when necessary. Based on SDN, the cyber-physical system's formation, partition, and reconfiguration are introduced. Extensive tests verify the effectiveness of SDN technology in enabling programmable and reconfigurable networked microgrids system. The test results also offer an insight into enhancing the resilience of networked microgrids by reconfiguring the system using SDN.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122428126","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
High Fidelity Rapid Modeling of Hybrid Rotor PM Machines using Equivalent Machine Model 基于等效机器模型的混合转子永磁电机高保真快速建模
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490181
Dheeraj Bobba, B. Sarlioglu
{"title":"High Fidelity Rapid Modeling of Hybrid Rotor PM Machines using Equivalent Machine Model","authors":"Dheeraj Bobba, B. Sarlioglu","doi":"10.1109/ITEC51675.2021.9490181","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490181","url":null,"abstract":"Machines that use a combination of rotor types, i.e., hybrid rotor machines, have additional degrees of freedom with rotor combinations and are shown to produce a wide array of operating characteristics with minimal design changes. However, the axial asymmetric nature of the hybrid rotor PM machines requires 3D finite element analysis (FEA) based modeling approach, which is time-consuming and computationally expensive despite the use of rotational and axial symmetry to reduce model size. This article aims to develop a faster analysis method that combines 2D FEA models with an analytical equivalent machine model of the hybrid rotor PMSM. The proposed analysis method is compared with 3D FEA to verify the accuracy and will be shown to significantly reduce the computation time while maintaining high fidelity.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"402 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116659695","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
Performance Enhancement of a Hybrid Battery-Supercapacitor EV Energy Storage System 混合电池-超级电容器电动汽车储能系统的性能提升
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490063
Hazem M. Sharf, Eiman ElGhanam, Mohamed S. Hassan, A. Osman, A. Elmeligy
{"title":"Performance Enhancement of a Hybrid Battery-Supercapacitor EV Energy Storage System","authors":"Hazem M. Sharf, Eiman ElGhanam, Mohamed S. Hassan, A. Osman, A. Elmeligy","doi":"10.1109/ITEC51675.2021.9490063","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490063","url":null,"abstract":"The energy consumption pattern of the Lithium-ion (Li-ion) battery bank in Electric Vehicles (EVs) exhibits rapid fluctuations for different driving cycles, leading to battery degradation and shortening its lifetime. This paper presents an energy management strategy for a hybrid EV energy storage system (HESS) that integrates the EV battery with a bank of supercapacitors (SC), aiming to reduce the degradation rate of EV batteries. The presented work uses data from driving simulations conducted on Simulation of Urban MObility (SUMO) traffic simulator tool for a low-speed zone, particularly a university campus. A MATLAB/Simulink-based simulation is conducted for the proposed energy management strategy to demonstrate how the system manages the energy flow between the battery and the supercapacitors. Results reveal that the proposed model is able to reduce the EV battery temperature and hence reduce its degradation by approximately 50% compared to the situation when the Li-ion battery is solely used.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115244212","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
Small Signal Analysis and Control of Single-Phase Bridgeless Cuk-based PFC Converter for On-Board EV Charger 车载充电器单相无桥PFC变换器的小信号分析与控制
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490141
Sukanya Dutta, S. Gangavarapu, Venkata R. Vakacharla, A. Rathore, V. Khadkikar, H. Zeineldin
{"title":"Small Signal Analysis and Control of Single-Phase Bridgeless Cuk-based PFC Converter for On-Board EV Charger","authors":"Sukanya Dutta, S. Gangavarapu, Venkata R. Vakacharla, A. Rathore, V. Khadkikar, H. Zeineldin","doi":"10.1109/ITEC51675.2021.9490141","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490141","url":null,"abstract":"This work presents detailed small-signal-modeling and closed-loop controller design of novel Cuk-based PFC converter for on-board EV charger. Since the converter is designed to operate in discontinuous conduction mode (DCM) for attaining power factor correction (PFC) naturally on the input side. Thus, only the output voltage sensing is required as the input voltage and current sensing is not necessary. Thereby, making the operation of the converter less-costly, reliable, and intensifying the robustness towards higher frequency noise. The control strategy is straightforward requiring one control loop and sensor. This article describes the complete derivation of control-to-output transfer function along with optimal selection of control parameters. Finally, to validate the controller design, simulation and hardware results are provided.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123757262","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
Identifying Hopf Bifurcations of Networked Microgrids Induced by the Integration of EV Charging Stations 电动汽车充电站集成引发的网络微电网Hopf分叉辨识
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490159
X. Jiang, Yan Li, Liang Du, Daning Huang
{"title":"Identifying Hopf Bifurcations of Networked Microgrids Induced by the Integration of EV Charging Stations","authors":"X. Jiang, Yan Li, Liang Du, Daning Huang","doi":"10.1109/ITEC51675.2021.9490159","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490159","url":null,"abstract":"A continuation method considering the dynamics of distributed energy resources (DERs) is presented to identify Hopf bifurcations in the networked microgrids induced by the integration of electrical vehicle (EV) charging stations. The dynamic model of networked microgrids is developed for bifurcation analysis. An adaptive predictor-corrector approach is presented for inclusively searching for equilibrium points in the space of bifurcation parameters. Extensive numerical results have demonstrated and validated the prediction of the subcritical Hopf bifurcation, based on which corresponding control strategies can be employed to stabilize the system when necessary. These features make the continuation method an effective tool for determining the system's critical operations and providing early warnings.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123761654","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
Fault-tolerant Method Based on Reconstructed Modulation for H-bridge Converter in Power Electronic Traction Transformer 电力电子牵引变压器h桥变换器重构调制容错方法
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490127
N. Zhao, Zedong Zheng, Yongdong Li
{"title":"Fault-tolerant Method Based on Reconstructed Modulation for H-bridge Converter in Power Electronic Traction Transformer","authors":"N. Zhao, Zedong Zheng, Yongdong Li","doi":"10.1109/ITEC51675.2021.9490127","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490127","url":null,"abstract":"A fault-tolerant method for H-bridge converter in power electronic traction transformer is proposed. This fault-tolerant mothed can ensure safe operation for H-bridge converter under open-circuit fault condition based on modulation reconstruction strategy. The faulty module can still transfer certain power. The influence of open-circuit fault on a single full-bridge circuit is illustrated, and the influence on modulation and PWM voltage is analyzed. Based on the analysis, the fault-tolerant method is given to reconstruct the modulations of both faulty module and normal modules with the change of current direction. Correctness and efficiency are validated through experimentation.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"16 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123209830","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
A Kalman Filter Based Battery State of Charge Estimation MATLAB Function 基于卡尔曼滤波的电池电量状态估计MATLAB函数
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490163
Fauzia Khanum, Eduardo Louback, Federico Duperly, Colleen Jenkins, P. Kollmeyer, A. Emadi
{"title":"A Kalman Filter Based Battery State of Charge Estimation MATLAB Function","authors":"Fauzia Khanum, Eduardo Louback, Federico Duperly, Colleen Jenkins, P. Kollmeyer, A. Emadi","doi":"10.1109/ITEC51675.2021.9490163","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490163","url":null,"abstract":"This paper proposes a Kalman filter based state-of-charge (SOC) estimation MATLAB function using a second-order RC equivalent circuit model (ECM). The function requires the SOC-OCV (open circuit voltage) curve, internal resistance, and second-order RC ECM battery parameters. Users have an option to use an extended Kalman filter (EKF) or adaptive extended Kalman filter (AEKF) algorithms as well as temperature dependent battery data. An example of the function is illustrated using the LA92 driving cycle of a Turnigy battery performed at multiple temperature ranging from −10°C to 40°C.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125322428","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: 11
An Accurate Online Parameter Estimation Technique for Inductive Electric Vehicle Charging Systems 感应式电动汽车充电系统参数在线准确估计技术
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490175
H. Jafari, Temitayo O. Olowu, M. Moghaddami, A. Sarwat
{"title":"An Accurate Online Parameter Estimation Technique for Inductive Electric Vehicle Charging Systems","authors":"H. Jafari, Temitayo O. Olowu, M. Moghaddami, A. Sarwat","doi":"10.1109/ITEC51675.2021.9490175","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490175","url":null,"abstract":"An accurate online parameter estimation method for inductive power transfer (IPT) systems is introduced. Using the proposed parameter estimation method both magnetic coupling factor and battery charging current can be estimated simultaneously. This method is specifically suitable for inductive electric vehicle (EV) charging systems in which the battery charging load dynamically varies during the charging process. The proposed method only requires measurements from the primary side and thereby eliminates the need for data communication between the transmitter and receiver. The technique is based on the use of resonance frequency tracking controllers that continuously match the switching frequency the resonance frequency of the IPT system. Detailed analytical formulations for the derivation of magnetic coupling factor and battery charging current and voltage are presented. Theoretical analysis, simulation models and experimental validations of the proposed parameter estimation method are presented. The results show that the proposed method can accurately estimate the magnetic coupling factor and battery charging current in real-time. The experimental results confirm that the proposed method can be easily implemented in any IPT system.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"4 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120903817","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
Fully Decentralized Energy Management Strategy Based on Model Predictive Control in a Modular Fuel Cell Vehicle 基于模型预测控制的模块化燃料电池汽车全分散能量管理策略
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490041
A. Soltani, L. Boulon, Xiaosong Hu
{"title":"Fully Decentralized Energy Management Strategy Based on Model Predictive Control in a Modular Fuel Cell Vehicle","authors":"A. Soltani, L. Boulon, Xiaosong Hu","doi":"10.1109/ITEC51675.2021.9490041","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490041","url":null,"abstract":"Power allocation strategy (PAS) plays an essential role in fuel cell vehicles (FCVs). Current studies mainly focus on centralized PASs (C-PASs) without adequately providing flexibility (plug & play) and robustness. In this regard, a decentralized PAS (D-PAS) based on prediction is proposed for a modular FCV powertrain. The performance of this suggested approach is analyzed for various driving scenarios. Based on the numerical results, the proposed D-PAS provides superior performance compared to the centralized ones.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123653793","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
Small Signal Modeling and Control of Resonant Switched Capacitor Converter 谐振开关电容变换器的小信号建模与控制
2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490057
Yan Liu, Xiaofeng Yang, Chengzhang Yan, Qian Chen, S. Igarashi, T. Takaku
{"title":"Small Signal Modeling and Control of Resonant Switched Capacitor Converter","authors":"Yan Liu, Xiaofeng Yang, Chengzhang Yan, Qian Chen, S. Igarashi, T. Takaku","doi":"10.1109/ITEC51675.2021.9490057","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490057","url":null,"abstract":"Featured with low switching loss, resonant switched capacitor converter (RSCC) has attracted more attention in recent years. However, as the key basis for controller design, the small signal model of RSCC is rarely studied. This paper firstly introduces the operation principle of RSCC under phase shift control. Then the small signal model of RSCC is studied based on the extended describing function (EDF) method. With the small signal model, the controller is designed to improve the RSCC dynamic performance. Finally, the simulation and experimental results verify the correctness of the small signal model and the effectiveness of the controller designed in this paper.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129638369","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
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