Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Iron Loss Prediction Using Modified IEM-Formula during the Flux Weakening for Permanent Magnet Synchronous Machines

Version 1 : Received: 23 October 2017 / Approved: 24 October 2017 / Online: 24 October 2017 (04:52:15 CEST)

A peer-reviewed article of this Preprint also exists.

Asef, P.; Bargallo, R.; Lapthorn, A. Iron Loss Prediction Using Modified IEM-Formula during the Field Weakening for Permanent Magnet Synchronous Machines. Machines 2017, 5, 30. Asef, P.; Bargallo, R.; Lapthorn, A. Iron Loss Prediction Using Modified IEM-Formula during the Field Weakening for Permanent Magnet Synchronous Machines. Machines 2017, 5, 30.

Abstract

During flux weakening operation time (FWOT), the total iron loss rises and affects the accuracy of loss prediction and efficiency especially if a large range of FWOT exists. Iron loss prediction is widely employed in investigations for a fast electrical machine analysis using 2-D FEA. This paper studies harmonic loss analytically by a steady-state equivalent circuit. Consideration of skin effects and iron saturation are utilized in order to examine the accuracy through the relative error distribution in the frequency domain of each model from 50 to 700 Hz. Additionally, this comparative study presents a torque-frequency-flux density calculation over each single term of the modified IEM-formula. The analytical calculation is performed using 2-D FEA for a classic and modified IEM-formula along with experimental verifications on a surface-mounted PMSG for a wind generation application.

Keywords

electrical machine; field weakening; IEM-formula; wind energy; iron loss; synchronous generator; equivalent circuit; harmonic loss

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.