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Transcript
Electrothermal Modelling of Power Semiconductor Devices for Renewable Energy Conversion
With the increased penetration of renewable energy into the electrical grid, power
semiconductor device switches are becoming an indispensable part of the power system. Power
semiconductor devices like insulated gate bipolar transistors (IGBTs) and metal oxide on
semiconductor field effect transistors (MOSFETs) are increasingly being used to convert electrical
power generated from renewable sources like wind turbines and solar cells. This is more so the case
for high-voltage DC (HVDC) transmission of wind generated electrical power from off-shore wind
turbines to the on-shore electrical grid. These power conversion devices are invariably fabricated out
of silicon; however, recent advances have been made in new wide bandgap semiconductors like
silicon carbide and gallium nitride. Reliability is critical, hence, predictive electrothermal reliability
modelling has become critical especially in the light of advanced semiconductor material systems.
The goal of this project is to develop advanced reliability predictive electrothermal models for high
voltage power converters implemented in advanced material systems like silicon carbide and gallium
nitride.
The objective of this
project is to develop
models that can accurately
predict the lifetime of the
semiconductor devices that
make up the power
converter. By coupling
electrical, thermal and
mechanical equations into
predictive models, the
number of cycles to failure
can be evaluated. This
information can be fed into
the design process where the semiconductor devices can be optimized for higher efficiency. Existing
electrothermal modelling packages either use finite element or finite difference models to solve
semiconductor equations with high precision. In these packages, the carrier flow equations are
coupled with heat flow equations for a fully coupled electrothermal solution. However, this was
initially developed for microelectronic applications with very short electrical and thermal time
constants and small physical dimensions. They have been adapted for power electronic applications
with long electrical and thermal time constants using various techniques; however, they have not
kept up to speed with advances in power electronics. Other modelling packages use compact
electrical and thermal models that treat devices like lumped elements. This, however, does not
capture the complexity of critical failure modes like thermal runaway in high temperature power
electronics. The hypothesis that will be explored in this project is a multi-scale modelling approach
that uses finite element modelling techniques at the micro-scale and compact modelling at the
macro-scale. The project will involve the use of advanced computational techniques to solve real
power flow problems in converters. There is a very high probability that the project will lead to a
PhD project.