GaN-HEMT dynamic ON-state resistance characterisation and modelling

GaN-HEMTs suffer from trapping effects which might increase device ON-state resistance (RDS(on)) values. Thus, dynamic RDS(on) of a commercial GaN-HEMT is characterized at different bias voltages in the paper by a proposed measurement circuit. Based on the measurement results, a behavioural model is...

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Main Authors: Li, Ke, Evans, Paul, Johnson, Christopher Mark
Format: Conference or Workshop Item
Published: 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/34921/
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author Li, Ke
Evans, Paul
Johnson, Christopher Mark
author_facet Li, Ke
Evans, Paul
Johnson, Christopher Mark
author_sort Li, Ke
building Nottingham Research Data Repository
collection Online Access
description GaN-HEMTs suffer from trapping effects which might increase device ON-state resistance (RDS(on)) values. Thus, dynamic RDS(on) of a commercial GaN-HEMT is characterized at different bias voltages in the paper by a proposed measurement circuit. Based on the measurement results, a behavioural model is proposed to represent device dynamic RDS(on) values, in which trapping and detrapping time constant is represented by a series of RC network. The model is simulated in PSPICE, of which the simulation results of RDS(on) values are compared and validated with the measurement when device switches in a power converter with different duty cycles and switching voltages. The results show that RDS(on) values of this device would increase due to trapping effects.
first_indexed 2025-11-14T19:24:32Z
format Conference or Workshop Item
id nottingham-34921
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:24:32Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling nottingham-349212020-05-04T17:54:36Z https://eprints.nottingham.ac.uk/34921/ GaN-HEMT dynamic ON-state resistance characterisation and modelling Li, Ke Evans, Paul Johnson, Christopher Mark GaN-HEMTs suffer from trapping effects which might increase device ON-state resistance (RDS(on)) values. Thus, dynamic RDS(on) of a commercial GaN-HEMT is characterized at different bias voltages in the paper by a proposed measurement circuit. Based on the measurement results, a behavioural model is proposed to represent device dynamic RDS(on) values, in which trapping and detrapping time constant is represented by a series of RC network. The model is simulated in PSPICE, of which the simulation results of RDS(on) values are compared and validated with the measurement when device switches in a power converter with different duty cycles and switching voltages. The results show that RDS(on) values of this device would increase due to trapping effects. 2016-06-30 Conference or Workshop Item PeerReviewed Li, Ke, Evans, Paul and Johnson, Christopher Mark (2016) GaN-HEMT dynamic ON-state resistance characterisation and modelling. In: 17th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2016, 27–30 June 2016, Trondheim, Norway. GaN-HEMT; Dynamic ON-state resistance; Power semiconductor device characterisation; Power semiconductor device modelling; Behavioural model
spellingShingle GaN-HEMT; Dynamic ON-state resistance; Power semiconductor device characterisation; Power semiconductor device modelling; Behavioural model
Li, Ke
Evans, Paul
Johnson, Christopher Mark
GaN-HEMT dynamic ON-state resistance characterisation and modelling
title GaN-HEMT dynamic ON-state resistance characterisation and modelling
title_full GaN-HEMT dynamic ON-state resistance characterisation and modelling
title_fullStr GaN-HEMT dynamic ON-state resistance characterisation and modelling
title_full_unstemmed GaN-HEMT dynamic ON-state resistance characterisation and modelling
title_short GaN-HEMT dynamic ON-state resistance characterisation and modelling
title_sort gan-hemt dynamic on-state resistance characterisation and modelling
topic GaN-HEMT; Dynamic ON-state resistance; Power semiconductor device characterisation; Power semiconductor device modelling; Behavioural model
url https://eprints.nottingham.ac.uk/34921/