کنفرانس بین المللی ماشین و محرکه های الکتریکی

| ورود به سامانه | ثبت نام

صفحه اصلی / icemd2023

2D Lumped Parameter Model for Temperature Prediction in a Radial Flux Switching Generator with Two Permanent Magnet Types

نویسندگان :

Ali Zarghani¹ Mohammad Farahzadi² Aghil Ghaheri³ Karim Abbaszadeh⁴ Hossein Torkaman⁵ Ebrahim Afjei⁶

1- دانشگاه شهید بهشتی 2- دانشگاه علم و فرهنگ تهران 3- Shahid Beheshti University Tehran, Iran 4- دانشگاه صنعتی خواجه نصیرالدین طوسی 5- دانشگاه شهید بهشتی 6- دانشگاه شهید بهشتی

کلمات کلیدی :

flux switching generator،lumped parameter thermal model،permanent magnet،temperature prediction

چکیده :

In compact electric machines with high torque density and direct continuity heat sources, irreversible damage results from overheating. Therefore, accurate temperature forecasting is essential. The objective of this study is to present an analytical approach for constructing a lumped parameter model (LPM) for thermal analysis of a hybrid permanent magnet (PM) radial flux switching generator (HPM-RFSG). The HPM-RFSG consists of a segmented rotor and stator that utilize two distinct PM types. The losses derived from finite element analysis (FEA) are employed as heat sources in LPM. The heat transfer between different regions and components is accounted for in the proposed LPM via conduction and convection thermal resistances. Comparisons are provided between the steady-state temperature results of the proposed LPM and FEA. Results comparison validated that the proposed LPM predicts the temperature of various components with acceptable accuracy, while also reducing computation time by 99.5 %.