Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/34832
Title: Behavioural SiC IGBT Modelling Using Non-Linear Voltage and Current Dependent Capacitances
Authors: Almpanis, Ioannis 
Evans, Paul 
Li, Ke 
Lophitis, Neophytos 
Major Field of Science: Engineering and Technology
Keywords: Behavioural modelling;Power electronics;Power semiconductor device modelling;Silicon Carbide IGBT;Virtual prototyping
Issue Date: 1-Jan-2023
Source: 2023 IEEE Design Methodologies Conference (DMC)
Conference: 2023 IEEE Design Methodologies Conference 
Abstract: This paper presents a behavioural silicon carbide (SiC) IGBT model that utilizes voltage and current dependent capacitances to simulate its switching characteristics, and a voltage dependent current source to simulate the static characteristics. The non-linear capacitances are extracted from dynamic Current-Voltage (IV) measurements, eliminating the need for non-standard Capacitance-Voltage (C-V) characterization methods under high voltage and high current. The accuracy of the compact model is compared with previously validated numerical Technology Computer Aided Design (TCAD) simulation results across a wide range of operational conditions. The model performance is demonstrated by accurately predicting the unique characteristics of a 27kV SiC IGBT, including dV/dt, dI/dt and losses, while significantly reducing the simulation time by 4-5 orders of magnitude. Additionally, the model convergence is tested using a buck converter topology with non-ideal parasitic elements.
URI: https://hdl.handle.net/20.500.14279/34832
ISBN: [9798350315547]
DOI: 10.1109/DMC58182.2023.10412584
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Proceedings
Affiliation : University of Nottingham 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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