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An Improved Core Loss Model of Ferromagnetic Materials Considering High-Frequency and Nonsinusoidal Supply

IEEE transactions on industry applications, 2021
With the emerging power electronic technologies, numerous electrical devices use high-frequency and nonsinusoidal supplies. Such sources generate complex harmonic fields that overburden the accurate prediction of core losses using the conventional finite
Haisen Zhao   +6 more
semanticscholar   +1 more source

Core Loss Model for Arbitrary Excitations With DC Bias Covering a Wide Frequency Range

IEEE transactions on magnetics, 2021
Core loss prediction is quite complex as the excitation of magnetic materials varies depending on the topology and the operating mode of switched-mode power supplies.
E. Stenglein, T. Dürbaum
semanticscholar   +1 more source

Modified Core Loss Calculation for High-Speed PMSMs With Amorphous Metal Stator Cores

IEEE transactions on energy conversion, 2021
This paper presents the modified core loss calculation of the high-speed (HS) permanent magnet synchronous machines (PMSMs) with amorphous metal (AM) stator cores.
W. Tong   +4 more
semanticscholar   +1 more source

Transfer Learning Methods for Magnetic Core Loss Modeling

Compel, 2021
Transfer learning is a machine learning technique where a model developed for one task is reused as the starting point to initiate the model for another.
Evan Dogariu   +5 more
semanticscholar   +1 more source

Dimensional Effects of Core Loss and Design Considerations for High Frequency Magnetics

European Conference on Cognitive Ergonomics, 2021
To date, LLC Resonant converters, are deployed in many applications for improved efficiency, density, and reliability. With the introduction of WBG devices coupled with the soft switching feature, the switching frequency can be extended beyond MHz.
Ahmed Nabih   +3 more
semanticscholar   +1 more source

Core Loss Testing

IEEE Industry Applications Magazine, 2011
This Article Discusses the Basic components of core loss (hysteresis and eddy-current losses), the effect of frequency and lamination thickness, and other contributing factors. It also explains the effect of operating frequency of squirrel cage type-rotors and armatures and provides correction factors.
Chuck Yung, Travis Griffith
openaire   +1 more source

Core Loss Estimation in Electric Machines With Flux-Controlled Core Loss Tester

IEEE Transactions on Industry Applications, 2016
The complexity of core loss estimation is an essential limitation for electric machine design engineers. It is critical to estimate the core losses and reduce them in the design stage to improve the machine efficiency. Current estimation methods based on the Steinmetz equation and loss separation are not accurate enough even at the rated conditions ...
Burak Tekgun   +4 more
openaire   +1 more source

MagNet: A Machine Learning Framework for Magnetic Core Loss Modeling

Compel, 2020
This paper presents a two-stage machine learning framework – MagNet – for magnetic core loss modeling. The first stage of MagNet is a waveform transformation network, which generates 2-D images (tensors) and extracts both the frequency and time domain ...
Haoran Li   +5 more
semanticscholar   +1 more source

Core-Loss Analysis of High-Speed Doubly Salient Electromagnetic Machine for Aeronautic Starter/Generator Application

IEEE transactions on industrial electronics (1982. Print), 2020
Core-loss calculation is an important issue in the design and analysis of electric machines, especially in high-speed applications. However, because of the severe uneven distribution and local supersaturation of the flux density, in combination with the ...
Wanying Jia, Lan Xiao, Deming Zhu
semanticscholar   +1 more source

High-Frequency Core Loss Modeling Based on Knowledge-Aware Artificial Neural Network

IEEE transactions on power electronics
High-frequency core loss modeling plays a critical role in the magnetics design of power electronics. However, existing modeling tools fail to achieve both high speed and high precision.
Junyun Deng   +5 more
semanticscholar   +1 more source

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