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Department: Atılım UniversityPublisher: Transilvania University of Brasov 1

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Now showing 1 - 4 of 4
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    Optimal Bore Diameter for Power Dense Traction Motor
    (Transilvania University of Brasov 1, 2025) Siddique, Muhammad Salik; Bülent Ertan, Hulusi
    The sine-wave permanent magnet brushless machine (PMSM) and Induction machine (IM) are the favorite motor types for traction applications. Modern permanent magnets (PM) are produced only in a few countries, and PM motors have higher efficiency. However, IM offers a robust, mature, rare-earth-material-free, and cost-effective. This study investigates the possibility of increasing IM efficiency by choosing an optimal bore diameter to reduce copper loss. Optimal bore diameter ensures that the motor operates at flux density levels that maintain a high power factor and give the possibility of increasing stator and rotor slot area to reduce copper loss. The investigation here is based on an experimentally verified FE model of the motor. This study illustrates that the rotor copper loss can be reduced by 25% with the choice of optimal bore diameter at rated voltage and frequency. A further 1% copper loss reduction is possible by introducing a sleeve over the stator slots to reduce air gap harmonics and, thus, surface losses on the rotor side. © 2025 Elsevier B.V., All rights reserved.
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    Citation - Scopus: 2
    Predicting Thermal Behavior of Lithium-Ion Batteries for Electric Car Applications
    (Transilvania University of Brasov 1, 2023) Azuaje-Berbeci,B.J.; Ertan,H.B.
    As the popularity of electric vehicles increases, significant research is being performed on lithium-ion batteries (LIB). Safety is a serious issue in the applications using high energy-density LIBs. A phenomenon known as thermal runaway (TR) is the major exothermal process that may cause a LIB's catastrophic failure. It is very important to predict TR conditions in order to prevent an uncontrollable chemical reaction caused by TR. For this purpose, a reliable model is needed. This paper constructs an electrochemical-thermal model, which includes the effects of the chemical reactions during TR, for a commercially available pouch L i F e P O4 (LFP) battery. A detailed analysis of the proposed models is performed and then validated against experimental results. Simulation results showed good agreement with the experimental data. The study presented here helps identify conditions at which TR may occur and provides a guide to the safe design of battery management systems. © 2023 IEEE.
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    Citation - Scopus: 1
    Advanced Control of Eleven Level Modular Converter Connected To the Power Grid Via Hvdc Transmission Line
    (Transilvania University of Brasov 1, 2023) Koulali,M.; Negadi,K.; Berkani,A.; Aimer,A.F.; Marignetti,F.; Bullent Ertan,H.
    The implementation of an advanced control system for an eleven-level modular converter connected to the power grid via an HVDC transmission line is discussed in this study. The control system's goal is to maintain stable and dependable converter operation under a variety of operating circumstances and grid disruptions. The control system includes a number of control loops, including feedforward compensation loops for voltage, current, and power. In order to share active and reactive power between parallel-connected converters, a droop control approach is also used. Through simulation studies for various scenarios, such as changes in grid voltage and frequency, load variations, and converter faults, the control system is created and validated. The findings show that the suggested control system is capable of effectively controlling the converter's output voltage and power, suppressing harmonic distortion, and ensuring the converter's stable and dependable functioning in the face of grid disruptions. Therefore, the enhanced control method can enhance the HVDC transmission system's performance and dependability, resulting in the creation of a more effective and intelligent power grid. © 2023 IEEE.
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    Rotor Resistance Estimation of Induction Motors With a Novel Innovation-Based Adaptive Extended Kalman Filter for Self-Tuning
    (Transilvania University of Brasov 1, 2023) Inan,R.; Bulent Ertan,H.
    In this study a novel estimator is developed to identify the rotor resistance of the induction motor (IM) at standstill for self-tuning. For this purpose, an innovation-based adaptive extended Kalman (IAEKF) filter estimator is designed. IAEKF provides a more dynamic estimation compared to the conventional extended Kalman filter (EKF), as they have a mechanism where the system noise covariance matrix can be updated continuously, unlike conventional EKF. To increase estimation stability and also for position and amplitude information of the motor flux required for the dynamic control methods, stator stationary axis (-αβ) components of stator current and -αβ components of stator flux are estimated with rotor resistance by using the correlation between states and parameters defined as nonlinear inputs. The estimation performance of the proposed IAEKF algorithm is tested both in the simulation and on the real-time IM experimental setup at standstill. Simulation and real-time results show that the estimation achievement of the proposed IAEKF algorithm is quite impressive. © 2023 IEEE.