scholarly journals Iron Loss Modelling of Electrical Traction Motors for Improved Prediction of Higher Harmonic Losses

2020 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Jan Rens ◽  
Lode Vandenbossche ◽  
Ophélie Dorez

A Finite Element (FE) modelling approach is presented to account for the core losses in electrical machines that are generated by higher harmonic frequencies, for example those caused by Pulse Width Modulation (PWM) switching or by space harmonics due to the machine geometry. The model builds further on a post-processing calculation tool that was recently developed to take into account the magnetic skin effect in electrical steel laminations at high frequencies, and extends this by a more detailed loss analysis of the minor hysteresis loops that are caused by the higher harmonics. Further, these tools for high-frequency loss analysis are integrated into a complete electrical machine model with separate consideration of the major and minor loops. The modelling approach relies strongly on extensive magnetic measurement data of the electrical steel, in order to accurately predict the different loss components for minor hysteresis loops as a function of the DC bias field, frequency and amplitude of the minor loop. Results from the model are shown for an automotive traction motor, illustrating the losses caused by PWM harmonics and demonstrating the relevance of including the skin effect in these calculations.

2020 ◽  
Vol 90 (1) ◽  
pp. 10901
Author(s):  
Bram Daniels ◽  
Timo Overboom ◽  
Elena Lomonova

Power transformer design requires to model the loss and hysteresis behavior of the laminated steel core, constructed out of high-permeability grain-oriented electrical steel. This work predicts the magnetic loss and hysteresis behavior in the rolling direction of three transformer grade steels, for magnetic flux densities up to and including 1.9 T, and frequencies up to and including 300 Hz. Material characterization parameters for the excess loss, obtained by statistical loss separation for sinusoidal concentric hysteresis loops, are applied in a hysteresis model and govern the dynamic field behavior. The modeled loss is compared and verified with measurement data obtained by an Epstein frame for each steel gauge.


Author(s):  
Ines Gilch ◽  
Tobias Neuwirth ◽  
Benedikt Schauerte ◽  
Nora Leuning ◽  
Simon Sebold ◽  
...  

AbstractTargeted magnetic flux guidance in the rotor cross section of rotational electrical machines is crucial for the machine’s efficiency. Cutouts in the electrical steel sheets are integrated in the rotor sheets for magnetic flux guidance. These cutouts create thin structures in the rotor sheets which limit the maximum achievable rotational speed under centrifugal forces and the maximum energy density of the rotating electrical machine. In this paper, embossing-induced residual stress, employing the magneto-mechanical Villari effect, is studied as an innovative and alternative flux barrier design with negligible mechanical material deterioration. The overall objective is to replace cutouts by embossings, increasing the mechanical strength of the rotor. The identification of suitable embossing geometries, distributions and methodologies for the local introduction of residual stress is a major challenge. This paper examines finely distributed pyramidal embossings and their effect on the magnetic material behavior. The study is based on simulation and measurements of specimen with a single line of twenty embossing points performed with different punch forces. The magnetic material behavior is analyzed using neutron grating interferometry and a single sheet tester. Numerical examinations using finite element analysis and microhardness measurements provide a more detailed understanding of the interaction of residual stress distribution and magnetic material properties. The results reveal that residual stress induced by embossing affects magnetic material properties. Process parameters can be applied to adjust the magnetic material deterioration and the effect of magnetic flux guidance.


Author(s):  
Ricardo de A. Elias ◽  
Carlos A. C. Wengerkievicz ◽  
Guilherme H. Souza Reis ◽  
Nelson Sadowski ◽  
Nelson J. Batistela ◽  
...  

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