Fast and accurate model of interior permanent-magnet machine for dynamic characterization

Autor: Klemen Drobnic, Lovrenc Gašparin, Rastko Fiser
Jazyk: angličtina
Rok vydání: 2021
Předmět:
automotive applications
motor drives
Control and Optimization
Computer science
020209 energy
avtomobilske aplikacije
Energy Engineering and Power Technology
02 engineering and technology
electrical drives
lcsh:Technology
udc:621.31
modeliranje
0202 electrical engineering
electronic engineering
information engineering
digital simulation
interior permanent-magnet machines
Electrical and Electronic Engineering
Engineering (miscellaneous)
digitalne simulacije
motor z notranjimi trajnimi magneti
lcsh:T
Renewable Energy
Sustainability and the Environment
električni pogoni
saturation
020208 electrical & electronic engineering
modeling
Finite element method
finite-element analysis
electric vehicle (EV)
hybrid electric vehicle (HEV)
mathematical model
Nonlinear system
Magnet
Synchronous motor
Algorithm
metoda končnih elementov
Energy (miscellaneous)
Zdroj: Energies, vol. 12, no. 5, 783, 2019.
Energies; Volume 12; Issue 5; Pages: 783
Energies, Vol 12, Iss 5, p 783 (2019)
ISSN: 1996-1073
Popis: 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.
Databáze: OpenAIRE
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