Browsing by Author "Karabasoglu, Orkun"

Now showing 1 - 7 of 7

Citation - WoS: 2
Citation - Scopus: 3
A dynamic functional model of diode bridge rectifier for unbalanced input voltage conditions
(John Wiley and Sons Inc, 2021) Adel Deriszadeh; Orkun Karabasoglu; Martin P. Ćalasan; Farnaz Mehdipour; Deriszadeh, Adel; Karabasoglu, Orkun; Calasan, Martin P.; Mehdipour, Farnaz
Diode bridge rectifiers are employed in many industrial applications wherein under practical operating conditions input voltages can be occasionally or inherently unbalanced. Using the switching function method this paper proposes a new accurate functional model of the diode bridge rectifier capable of dealing with unbalanced input voltage conditions. To take all degrees of unbalanced conditions into account this paper introduces uneven commutation intervals phenomenon between diodes occurring under unbalanced voltage conditions and proposes dynamically updating switching functions. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 93
Citation - Scopus: 103
Active battery cell equalization based on residual available energy maximization
(ELSEVIER SCI LTD, 2018) Weiping Diao; Nan Xue; Vikram Bhattacharjee; Jiuchun Jiang; Orkun Karabasoglu; Michael Pecht; Bhattacharjee, Vikram; Xue, Nan; Diao, Weiping; Karabasoglu, Orkun; Pecht, Michael; Jiang, Jiuchun
The residual available energy (RAE) of a battery pack is an important parameter for determination of the amount of energy left in the battery pack. The RAE is defined as a function of the cell's initial state of charge (SOC) discharge current cell capacity and internal resistance. Battery management systems achieve active equalization through balancing either the SOC or the terminal voltage of battery packs. Recent research discovered that these equalization schemes cannot maximize RAE of the battery pack due to the variation of internal resistances and capacities of the cells in the pack. On the other hand terminal voltage equalization is not applicable for batteries having a flat SOC-open-circuit voltage curve. This paper introduces the framework to calculate the RAE of a battery pack incorporating the variation of internal resistance and capacity of the individual cells in a pack. It further proposes a novel active battery cell equalization technique based on an RAE maximization scheme. The effectiveness of the proposed equalization scheme is validated through experimental results with a comparison of the energy utilization efficiency. The solution methodology and the results are discussed in the paper.
Citation - WoS: 10
Citation - Scopus: 13
Excitation procedure for brushless woundrotor synchronous starter generator with seamless transitions
(Institution of Engineering and Technology JBristow@theiet.org, 2019) Adel Deriszadeh; Orkun Karabasoglu; Salih Baris Ozturk; Deriszadeh, Adel; Ozturk, Salih Baris; Karabasoglu, Orkun
An analytical model of excitation system of brushless wound-rotor synchronous starter generator for aircraft applications is developed and presented in this study. During engine start-up process the starter generator operates as a motor to start the aircraft turbine and to assist it up to the self-sustaining speed. On the basis of rotation speed of the starter generator in the engine start-up process there are three excitation modes for the exciter and two transient modes for the field current of the main generator (MG). In this study for each excitation mode the relationship between the excitation current (field current of the exciter) and the field current of MG is investigated by taking into account the influence of power electronic parts. This study also proposes a control method for the generator field current in all excitation modes which can detect optimum operating points for transition between excitation modes. Furthermore a seamless transient control strategy is proposed for the transient modes of the generator field current. Simulation and experimental results are provided to demonstrate the feasibility of the proposed solution. © 2019 Elsevier B.V. All rights reserved.
Hibrit ve Elektrikli Araçlar için Güç Aktarım Sistemi Bağlantılı Yeşil Rotalama
(2021) Orkun Karabasoglu; Karabasoglu, Orkun
Bu çalışma gelişmiş araç teknolojileri için aracın güç aktarım unsurlarının durumlarını ve trafikşartlarını göz önünde bulunduran yenilikçi bir yeşil rota optimizasyonu stratejisi önermektedir.Geleneksel navigasyon sistemleri optimal rotayı belirlerken sürücülere en kısa mesafe en kısa süreveya en çok tercih edilen yollar gibi seçenekler sunmaktadır. Bu seçenekler doğrultusunda bulunanoptimum rota çevreye zararlı olan gaz emisyonlarını minimum seviyede tutmayı garantietmemektedir. Özellikle hibrit ve elektrikli araçlar gibi gelişmiş araçlar söz konusu olduğundaoptimum rotanın belirlenmesine etki eden faktörler değişmektedir. Bu sebeple bu çalışmada rotaoptimizasyonuna araç aktarım sistemi dinamikleri elektrikli ve benzinli motor verimlilikleri kontrolmodları batarya boyutu bataryanın enerji seviyesi ve trafik durumu gibi girdilerin entegre edildiği“Araç Güç Aktarım Sistemi Bağlantılı Yeşil Rota Optimizasyonu” olarak adlandırılan bir yöntemönerilmiştir. Rota optimizasyonu probleminin çözümünde yukarıdaki faktörler göz önündebulundurulmuş amaç fonksiyonunu en düşük 𝐶𝑂2 emisyonu olarak belirlenmiş ve çözüm yöntemiolarak Dijkstra algoritması kullanılmıştır. Ek olarak önerilen stratejinin farklı araç teknolojilerinin𝐶𝑂2 emisyon miktarını azaltma oranları ve optimal rotalara etkileri analiz edilmiştir. Sırasıylageleneksel ve elektrikli araçlar için en kısa mesafe algoritmasına kıyasla bu çalışmada önerilenoptimizasyon yöntemi kullanıldığında geleneksel araçların yolculuklarının yaklaşık %80’i veelektrikli araçla yapılan yolculukların %60'ı yeni yeşil optimal rotalara sahip olmaktadırlar. Ayrıca önerilen strateji sayesinde en kısa yol stratejisine kıyasla sırasıyla geleneksel ve elektrikli araçlariçin %60 ve %30'a kadar varan emisyon tasarrufu sağlanmaktadır
Citation - WoS: 33
Citation - Scopus: 29
Hierarchical electric vehicle charging aggregator strategy using dantzig-wolfe decomposition
(IEEE Computer Society help@computer.org, 2018) M. Hadi Amini; Paul Mc Namara; Paul Weng; Orkun Karabasoglu; Yinliang Xu; Weng, Paul; Xu, Yinliang; Amini, M. Hadi; McNamara, Paul; Karabasoglu, Orkun
This article focuses on reducing a charging cost for electric vehicles (EVs). A charging strategy is proposed to minimize the charging cost of EVs within the charging station constraints. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 68
Citation - Scopus: 82
Optimal operation of interdependent power systems and electrified transportation networks
(MDPI AG indexing@mdpi.com Postfach Basel CH-4005, 2018) M. Hadi Amini; Orkun Karabasoglu; Amini, M. Hadi; Karabasoglu, Orkun
Electrified transportation and power systems are mutually coupled networks. In this paper a novel framework is developed for interdependent power and transportation networks. Our approach constitutes solving an iterative least cost vehicle routing process which utilizes the communication of electrified vehicles (EVs) with competing charging stations to exchange data such as electricity price energy demand and time of arrival. The EV routing problem is solved to minimize the total cost of travel using the Dijkstra algorithm with the input from EVs battery management system electricity price from charging stations powertrain component efficiencies and transportation network traffic conditions. Through the bidirectional communication of EVs with competing charging stations EVs' charging demand estimation is done much more accurately. Then the optimal power flow problem is solved for the power system to find the locational marginal price at load buses where charging stations are connected. Finally the electricity prices were communicated from the charging stations to the EVs and the loop is closed. Locational electricity price acts as the shared parameter between the two optimization problems i.e. optimal power flow and optimal routing problem. Electricity price depends on the power demand which is affected by the charging of EVs. On the other hand location of EV charging stations and their different pricing strategies might affect the routing decisions of the EVs. Our novel approach that combines the electrified transportation with power system operation holds tremendous potential for solving electrified transportation issues and reducing energy costs. The effectiveness of the proposed approach is demonstrated using Shanghai transportation network and IEEE 9-bus test system. The results verify the cost-savings for both power system and transportation networks. © 2018 Elsevier B.V. All rights reserved.
Citation - Scopus: 74
Smart vehicle monitoring and assistance using cloud computing in vehicular Ad Hoc networks
(Elsevier B.V., 2018) Yash Agarwal; Kritika Jain; Orkun Karabasoglu; Jain, Kritika; Karabasoglu, Orkun; Agarwal, Yash
The increasing number of on road vehicles has become a major cause for congestion accidents and pollution. Intelligent Transportation Systems (ITS) might be the key to achieve solutions that help in reducing these problems significantly. The connected vehicular networks stream is a rapidly growing field for research and development of various real-time applications. In this paper novel techniques have been proposed to serve the speed based lane changing collision avoidance and time of arrival (TOA) based localization in Vehicular Ad Hoc Networks (VANETs). As GPS requires clear line-of-sight for accurate services of positioning and localization applications we designed a Time of Arrival (ToA) based algorithm for areas where strong GPS signals are unavailable. Collision avoidance using automatic braking and camera-based surveillance are a few other applications that we addressed. The feasibility and the viability of the algorithms were demonstrated through simulations in Simulation of Urban Mobility (SUMO) and Network Simulator-2 (NS-2). We prototyped a working hardware and tested it on actual vehicles to assess the effectiveness of the proposed system. We designed a mobile app interface for the on-board unit for smart efficient and remote traffic monitoring. The integrated VANET Cloud Computing architecture acts as the platform for the proposed applications. © 2022 Elsevier B.V. All rights reserved.