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

Klemen Drobnič, Lovrenc Gašparin and Rastko Fišer
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Klemen Drobnič: Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia
Lovrenc Gašparin: Mahle Electric Drives Slovenia, Polje 15, SI-5290 Šempeter pri Gorici, Slovenia
Rastko Fišer: Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia

Energies, 2019, vol. 12, issue 5, 1-20

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.

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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