Back to Search
Start Over
Numerical Simulation-Based Investigation of the Limits of Different Quasistatic Models
- Source :
- Applied Sciences, Applied Sciences, 2021, Applied Sciences, 11 (23), pp.11218. ⟨10.3390/app112311218⟩, Applied Sciences; Volume 11; Issue 23; Pages: 11218, Applied Sciences, Vol 11, Iss 11218, p 11218 (2021)
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; The modeling of the capacitive phenomena, including the inductive effects becomes critical, especially in the case of a power converter with high switching frequencies, supplying an electrical device. At a low frequency, the electro-quasistatic (EQS) model is widely used to study the coupled resistive-capacitive effects, while the magneto-quasistatic (MQS) model is used to describe the coupled resistive-inductive effects. When the frequency increases, the Darwin model is preferred, which is able to capture the coupled resistive-capacitive-inductive effects by neglecting the radiation effects. In this work, we are interested in specifying the limits of these models, by investigating the influence of the frequency on the electromagnetic field distributions and the impedance of electromagnetic devices. Two different examples are carried out. For the first one, to validate the Darwin model, the measurement results are provided for comparison with the simulation results, which shows a good agreement. For the second one, the simulation results from three different models are compared, for both the local field distributions and the global impedances. It is shown that the EQS model can be used as an indicator to know at which frequency the Darwin model should be applied.
- Subjects :
- Electromagnetic field
Technology
QH301-705.5
QC1-999
Capacitive sensing
inductive effects
[SPI]Engineering Sciences [physics]
General Materials Science
electromagnetic
finite-element method
quasistatic models
resistive
capacitive
Biology (General)
QD1-999
Instrumentation
Electrical impedance
Local field
Fluid Flow and Transfer Processes
Physics
Computer simulation
Process Chemistry and Technology
General Engineering
Mechanics
Engineering (General). Civil engineering (General)
Computer Science Applications
Power (physics)
Chemistry
Darwin (ADL)
TA1-2040
Quasistatic process
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Database :
- OpenAIRE
- Journal :
- Applied Sciences, Applied Sciences, 2021, Applied Sciences, 11 (23), pp.11218. ⟨10.3390/app112311218⟩, Applied Sciences; Volume 11; Issue 23; Pages: 11218, Applied Sciences, Vol 11, Iss 11218, p 11218 (2021)
- Accession number :
- edsair.doi.dedup.....65aed90422c34b634e7e3825270e34df
- Full Text :
- https://doi.org/10.3390/app112311218⟩