New modeling of the power diode using the VHDL-AMS language

Najjari, M.; Mnif, Hassène; Samet, Hekmet; Nouri, Mohammad

doi:10.1051/epjap:2007176

Cited by 117 publications

(7 citation statements)

References 10 publications

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“…As it is reported in [2], the model is formulated for a P + -IN + type diode based on the Lauritzen power diode model [1]. Lauritzen and Al.…”

Section: Pin Diode Model Descriptionmentioning

confidence: 99%

“…An improvement was made in [2], which consists of introducing some empirical equations. In this study the developed PIN diode model considers the variation of depletion regions width in the p + -i and i-n + junctions as depicted in Figure 2.…”

Section: Pin Diode Model Descriptionmentioning

confidence: 99%

“…By adding this new concept to Najjari's and Al. Model [2], many parameters, especially the carrier transit time, will be affected and it's crucial to investigate on this.…”

Section: A Moving Boundary Diffusion Modelmentioning

confidence: 99%

“…The model parameters for the power diode are estimated using the same parameter extraction procedure described in [2] at reverse recovery condition. The Table 2 gives a summary of these model parameters values for the BYT12P600 power diode [7] which are valid for all operation conditions.…”

Section: Comparison With Experimental Datamentioning

confidence: 99%

“…In [2], the power PIN diode model includes three empirical and non physical equations to escape the extraction procedure when using the model for multi-bias conditions.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Bias Model for Power Diode Using a Very High Description Language

Mnif¹,

Najari²,

Samet³

et al. 2010

EPE

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This study focused on the determination and analysis of an accurate analytical model for PIN diode under different bias conditions. This approach employs analytically derived expressions including the variation of the depletion regions in the device to make the used model available over a wide range of testing conditions without remake the parameters extraction procedure. The validity of the proposed extraction procedure has been verified by the very good agreement between simulated and measured current and voltage waveforms reverse recovery at different range of the operation conditions. The model is developed and simulated with the VHDL-AMS language under Ansoft Simplorer® Environment.

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“…As it is reported in [2], the model is formulated for a P + -IN + type diode based on the Lauritzen power diode model [1]. Lauritzen and Al.…”

Section: Pin Diode Model Descriptionmentioning

confidence: 99%

Section: Pin Diode Model Descriptionmentioning

confidence: 99%

“…By adding this new concept to Najjari's and Al. Model [2], many parameters, especially the carrier transit time, will be affected and it's crucial to investigate on this.…”

Section: A Moving Boundary Diffusion Modelmentioning

confidence: 99%

Section: Comparison With Experimental Datamentioning

confidence: 99%

“…In [2], the power PIN diode model includes three empirical and non physical equations to escape the extraction procedure when using the model for multi-bias conditions.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multi-Bias Model for Power Diode Using a Very High Description Language

Mnif¹,

Najari²,

Samet³

et al. 2010

EPE

View full text Add to dashboard Cite

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Polymer‐Based Magnetoelectric Materials

Martins

Lanceros‐Méndez

2013

Adv Funct Materials

310

296

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Polymer‐based magnetoelectric (ME) materials are an interesting, challenging and innovative research field, that will bridge the gap between fundamental research and applications in the near future. Here, the current state of the art on the different materials, the used configurations for the development of sensors and actuators, as well as the main values of the ME coupling obtained for the different polymer‐based systems are summarized. Further, some of the specific applications that are being developed for those polymer‐based ME materials are addressed as well as the main advantages and remaining challenges in this research field.

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Tensile testing of individual ultrathin electrospun poly(L‐lactic acid) fibers

Jaeger

Schischka

Bagdahn

et al. 2009

J of Applied Polymer Sci

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The mechanical properties of ultrathin electrospun poly(L-lactic acid) (PLLA) fibers were studied by performing tensile tests on individual fibers. The tests were carried out on microelectronic mechanical systems (MEMSs) which were developed for characterizing the mechanical properties of thin polymer fibers. Force-displacement curves were obtained from video recordings of the experiments which were carried out in a scanning electron microscope. Each video was processed with an image processing routine to determine the elongation of the fiber and the elastic deformation of a component of the MEMS which yielded the force acting on the specimen. PLLA fibers with diameters ranging from 150 nm to 2 m were tested. The elastic modulus and the ultimate tensile strength of the fibers increased significantly for fiber diameters below 1 m. This indicates a higher degree of orientation of the polymer chains in ultrathin fibers

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New modeling of the power diode using the VHDL-AMS language

Cited by 117 publications

References 10 publications

Multi-Bias Model for Power Diode Using a Very High Description Language

Multi-Bias Model for Power Diode Using a Very High Description Language

Polymer‐Based Magnetoelectric Materials

Tensile testing of individual ultrathin electrospun poly(L‐lactic acid) fibers

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