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Open AccessArticle

Fast and Accurate Model of Interior Permanent-Magnet Machine for Dynamic Characterization

1
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia
2
Mahle Electric Drives Slovenia, Polje 15, SI-5290 Šempeter pri Gorici, Slovenia
*
Author to whom correspondence should be addressed.
Energies 2019, 12(5), 783; https://doi.org/10.3390/en12050783
Received: 31 January 2019 / Revised: 20 February 2019 / Accepted: 22 February 2019 / Published: 26 February 2019
(This article belongs to the Special Issue Permanent Magnet Synchronous Machines)
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Abstract

A high-fidelity two-axis model of an interior permanent-magnet synchronous machine (IPM) presents a convenient way for the characterization and validation of motor dynamic performance during the design stage. In order to consider a nonlinear IPM nature, the model is parameterized with a standard dataset calculated beforehand by finite-element analysis. From two possible model implementations, the current model (CM) seems to be preferable to the flux-linkage model (FLM). A particular reason for this state of affairs is the rather complex and time-demanding parameterization of FLM in comparison with CM. For this reason, a procedure for the fast and reliable parameterization of FLM is presented. The proposed procedure is significantly faster than comparable methods, hence providing considerable improvement in terms of computational time. Additionally, the execution time of FLM was demonstrated to be up to 20% shorter in comparison to CM. Therefore, the FLM should be used in computationally intensive simulation scenarios that have a significant number of iterations, or excessive real-time time span. View Full-Text
Keywords: digital simulation; motor drives; interior permanent-magnet machines; finite-element analysis; modeling; automotive applications; electric vehicle (EV); hybrid electric vehicle (HEV); mathematical model; saturation digital simulation; motor drives; interior permanent-magnet machines; finite-element analysis; modeling; automotive applications; electric vehicle (EV); hybrid electric vehicle (HEV); mathematical model; saturation
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Drobnič, K.; Gašparin, L.; Fišer, R. Fast and Accurate Model of Interior Permanent-Magnet Machine for Dynamic Characterization. Energies 2019, 12, 783.

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