Showing papers by "Janusz Zarębski published in 2020"
TL;DR: In this article, a single SiC power bipolar junction transistor (BJT) was evaluated by comparison of measurement and simulation results of selected characteristics of the BT1206-AC SiC BJT manufactured by TranSiC.
Abstract: This paper refers to the issue of modelling characteristics of SiC power bipolar junction transistor (BJT), including the self-heating phenomenon. The electrothermal model of the tested device is demonstrated and experimentally verified. The electrical model is based on the isothermal Gummel–Poon model, but several modifications were made including the improved current gain factor (β) model and the modified model of the quasi-saturation region. The accuracy of the presented model was assessed by comparison of measurement and simulation results of selected characteristics of the BT1206-AC SiC BJT manufactured by TranSiC. In this paper, a single device characterization has only been performed. The demonstrated results of research show the evident temperature impact on the transistor d.c. characteristics. A good compliance between the measured and calculated characteristics of the considered transistor is observed even in quasi-saturation mode.
4 citations
TL;DR: In this article, a modified model of silicon carbide junction field effect transistors (JFETs) was proposed to increase modelling accuracy and an evaluation of the accuracy of the modified model was performed by comparison of the measured and calculated capacitance-voltage characteristics as well as the switching characteristics of JFET.
Abstract: The paper deals with the problem of modelling and analyzing the dynamic properties of a Junction Field Effect Transistor (JFET) made of silicon carbide. An examination of the usefulness of the built-in JFET Simulation Program with Integrated Circuit Emphasis (SPICE) model was performed. A modified model of silicon carbide JFET was proposed to increase modelling accuracy. An evaluation of the accuracy of the modified model was performed by comparison of the measured and calculated capacitance–voltage characteristics as well as the switching characteristics of JFETs.
4 citations
23 Sep 2020
TL;DR: In this paper, the authors proposed to use the method of structural identification based on a combination of swarm intelligence elements and interval data analysis methods to build the model of the generated power by photovoltaic installation taking into account the peculiarities of seasonal phenomena of a certain geographical area.
Abstract: The task of mathematical model building for the dynamics of the generated power by a photovoltaic installation is considered. Models of such installations are actual both for the industrial electricity generation and for the creation of special intelligent modules with autonomous power supply. To build this mathematical model, it is proposed to use the method of structural identification based on a combination of swarm intelligence elements and interval data analysis methods. This is due to the fact that the requirements to mathematical model accuracy are contained into the obtained experimental data. And, as a result, the guaranteed prognostic properties of the model are ensured. At this, it is proposed to build the model of dynamics of the generated power by photovoltaic installation taking into account the peculiarities of seasonal phenomena of a certain geographical area in the paper. The results of analysis of known models of such type have shown that they may be unsuitable for certain climate zonez. In particular, this applies to such climate zones which are characterized by seasonal phenomena inherent in different seasons. During synthesis of the mentioned mathematical model, it is proposed to take into account the seasonal peculiarities inherent in the photovoltaic installation location by modifying the structural elements formation phase in the task of model structural identification. This allowed to adapt the method of structural identification for building models of dynamics of the generated power by photovoltaic installation (within the inductive approach) which can be used for any place in the world.
01 Sep 2020
TL;DR: A task of building of a mathematical model of dynamics of generated electric power by photovoltaic installation is considered and application of a structural identification method of interval discrete models based on artificial bee colony algorithm has been proposed and justified.
Abstract: A task of building of a mathematical model of dynamics of generated electric power by photovoltaic installation is considered in the paper. Built interval discrete model of a real photovoltaic installation takes into account a seasonality factor. To build the model, application of a structural identification method of interval discrete models based on artificial bee colony algorithm has been proposed and justified. Numerical experiments that confirmed an efficiency of the proposed approach to building of non-autonomous models based on an interval data analysis has been conducted.