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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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