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Author: Ertan, H. BulentWoS Q: N/A

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    Optimal Bore Diameter for Power Dense Traction Motor
    (Transilvania University of Brasov 1, 2025) Siddique, Muhammad Salik; Bülent Ertan, Hulusi; Ertan, H. Bulent
    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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    Driving Conditions Leading To Thermal Runaway in Li-Ion Battery EV's
    (IEEE, 2024) Ertan, H. Bulent; Azuaje-Berbeci, Bernardo J.
    The adoption of high-energy-density lithium-ion batteries (LIB) as the energy source in electric vehicles (EV) introduces significant safety concerns. Thermal runaway (TR), a self-accelerating rise in battery temperature resulting in catastrophic failure, is a significant safety concern. Cooling system failure within the EV's thermal management system is one of several factors that can trigger TR. Typically, TR is initiated by exceeding a critical temperature threshold under abusive conditions. Understanding the operating conditions that lead to the path of TR is essential for ensuring EV and occupant safety. Recently, a detailed electrochemical-thermal model that incorporates the chemical reactions within the battery until TR is introduced. This paper aims to illustrate how this model can be used to identify the conditions leading to TR under realistic EV driving scenarios. For this purpose, an Advisor/Matlab-based model of a hybrid EV is developed and verified by tests, is used to estimate the current required from the vehicle's battery pack at a given driving condition. This is followed by the prediction of battery thermal response using the mentioned finite-element-analysis-based battery model. Several scenarios are tested in this paper to determine whether TR occurs and to identify the factors contributing to TR. This study aids in comprehending the factors that contribute to TR and the development of preventative measures for battery management system design.