2022
DOI: 10.1109/tec.2022.3181983
|View full text |Cite
|
Sign up to set email alerts
|

Finite Element Analysis of Axial Flux Permanent Magnetic Hysteresis Dampers Based on Vector Jiles-Atherton Model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(2 citation statements)
references
References 24 publications
0
2
0
Order By: Relevance
“…The results showed good consistency between the 3D FEM simulation results of temperature and braking torque and the experimental test results. Reference [127] proposed a modeling technique for axial-flux PMECCs based on a vector J-A hysteresis model. The parameters of the J-A hysteresis model were obtained using a fast identification method based on numerical methods and genetic algorithms (GAs), and the model was applied to numerical calculations to improve the convergence and reduce the calculation time.…”
Section: Methodsmentioning
confidence: 99%
“…The results showed good consistency between the 3D FEM simulation results of temperature and braking torque and the experimental test results. Reference [127] proposed a modeling technique for axial-flux PMECCs based on a vector J-A hysteresis model. The parameters of the J-A hysteresis model were obtained using a fast identification method based on numerical methods and genetic algorithms (GAs), and the model was applied to numerical calculations to improve the convergence and reduce the calculation time.…”
Section: Methodsmentioning
confidence: 99%
“…In addition to the above-mentioned commonly used scalar hysteresis models, there are also some vector hysteresis models, such as the Enokizono and Soda (E&S) model [ 15 ]. The vector hysteresis models can be constructed by superimposing the scalar models in different directions, such as the vector Preisach model [ 16 ], the vector J-A model [ 17 ].…”
Section: Introductionmentioning
confidence: 99%