Fredrik Bajers Vej 5
Postboks 159 9100 Aalborg
Telefon: 9940 9940
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15.09.2017 kl. 13.00 - 16.00
Emanuel Petre Eni, Department of Energy Technology, will defend the thesis "Characterisation and Analysis of high Voltage Silicon Carbide Mosfet".
Characterisation and Analysis of high Voltage Silicon Carbide Mosfet
Emanuel Petre Eni
Professor Remus Teodorescu
Associate Professor Erik Schaltz
Professor Francesco Iannuzzo, Dept. of Energy Technology, Aalborg University (Chairman)
Professor Johann Walter Kolar, ETH Zurich, Switzerland
Arnost Kopta, ABB Zurich, Switzerland
Silicon-Carbide materials, due to their physical properties, promise to provide improved performances in semiconductor switching devices in terms of breakdown voltages, switching frequency and operating temperatures. Continuous research in this field has already brought to the market SiC devices with voltages up to 3.3 kV which demonstrated superior performances compared to their Si counterparts in terms of efficiency and operating junction temperature. This also translated to a certain extent in improved reliability when considering the lower operating temperature of the Si devices for a similarly size heatsink.
Due to material properties and continuous research, 10 kV 4H-SiC devices are currently under development as engineering samples. These promise to be a good candidate for replacing Si based IBGTs in the high power high voltage applications where an improved efficiency and higher switching frequency could decrease the converter costs and size while offsetting the semiconductor higher price.
A very important requirement for power electronics devices employed in power converters is their reliability and behavior during transients such as short-circuits. This is highly relevant as the device needs to be able to sustain and safely turn-off such a transient in order for it to be consider as a suitable candidate for high voltage high power converters, where reliability is a key requirement.
Therefore the investigation of the behavior of the 10 kV 4H-SiC device during short-circuit and its degradation mechanism is of high interest. This summarizes both degradation during single event long short-circuit pulses but also during short and repetitive short-circuit events, which initially would not appear as a stress.
The work focused on studying the 10 kV first generation 4H-SiC DMOSFETs from Wolfspeed both in terms of device static and dynamic characteristics and short-circuit capability. As SiC still has to reach the technology maturity of Si, a theoretical comparison between SiC and Si highlights the better material properties of 4H-SiC in unipolar power devices. This was also emphasized by comparing the two semiconductor material figures of merit.
The dynamic behavior of the 10 KV SiC is studied to investigate the device behavior during operation at different voltages which the devices is expected to encounter during normal operation. The analysis provided a large 3D matrix of switching losses versus currents drain voltage and gate voltages for a large range of temperatures.
As the device showed promising results during switching, the short-circuit withstand capability, a relevant parameter for grid connected applications, has been investigated. This in term showed the device degrading at long pulses, with the degradation accumulating as the pulse lengths increased. Thermal simulations showed temperatures inside the package reaching surface metalization melting point. This triggered further investigations into the degradation mechanism in an attempt to isolate the possible root causes of the degradation. While the investigation could not find the exact culprit, as the device physical characteristics have not been shared by the manufacturer, it managed to narrow down the list of possible causes and identify the electrical parameters that degraded the most. Based on this, different hypothesis have been proposed in order to explain the observed degradation, some which have coincided with other findings published in literature.
In the end, it was clear that the high temperature reached in the device during long short-circuit transient was the main cause of the degradation. This high temperature in the device estimated based on the thermal simulation was confirmed and by a Scanning Electron Microscope investigation. Degradation of the SiC crystal structure, charges implanted in the oxide during the short-circuit, interface state charges or other similar material defects associated with the high temperature stressing and high electric field experienced during short‑circuit are the most plausible explanation for the degradation in device mobility.
Department of Energy Technology
Pontoppidanstræde 111, auditorium
30.10.2017 kl. 09.00 - 23.11.2017 kl. 16.00
På SBi's kursus om fugt og efterisolering får du en introduktion til relevant varme- og fugtteori samt gode, konkrete råd om, hvordan du forebygger fugtproblemer, både under projektering og udførelse.
13.11.2017 kl. 09.00 - 04.12.2017 kl. 16.00
Efteruddannelsen i radonrenovering kvalificerer dig til at få adgang til det voksende marked for radonrenovering. Underviserne er de førende eksperter fra Teknologisk Institut og Statens Byggeforskningsinstitut (SBi). Efteruddannelsen varer tre dage.
20.11.2017 kl. 17.30 - 20.11.2017 kl. 19.30
Brænder du for at arbejde med kreative og innovative læreprocesser? Hvordan fremmes kreative og innovative læreprocesser på din arbejdsplads? Hvis de spørgsmål er relevante for dig, så kom til fyraftensmøde på Aalborg Universitet med kreativitetsforsker Julie Borup Jensen.
21.11.2017 kl. 09.45 - 21.11.2017 kl. 16.30
The seminar is open to employees and students at Aalborg University. The seminar will be held in English.
21.11.2017 kl. 10.00 - 16.00
In collaboration, AU Datalab and DIGETIK invite all researchers (including PhD students) working with personal data and/or data derived from human behaviour and communication who are facing ethical and legal dilemmas in this regard to participate in a one-day research seminar focusing on the perils and practices of researching our increasingly digitally saturated social lives.
21.11.2017 kl. 14.00 - 21.11.2017 kl. 17.00
Klinisk Institut, Aalborg Universitet og Aalborg Universitetshospital har den glæde at invitere til ph.d.-forsvar ved cand.psych., specialpsykolog i børne- og ungdomspsykiatri Ditte Lammers Vernal, Forskningsenhed for børne- og ungdomspsykiatri, som forsvarer ph.d.-afhandlingen: Forløb af skizofreni hos børn og unge (Outcomes of Early-Onset Schizophrenia)
22.11.2017 kl. 08.30 - 24.11.2017 kl. 16.00
This mini conference is targeted at practitioners of qualitative video ethnography and ethnomethodological conversation analysis. The conference welcomes you, who are exploring new ways of collecting time-based records of social, material and embodied practices as live-action events in real or virtual worlds.
22.11.2017 kl. 13.00 - 22.11.2017 kl. 16.00
22.11.2017 kl. 13.00 - 24.11.2017 kl. 17.10
As part of a three year project, The Primacy of Tense: A.N. Prior Now and Then, a three day workshop called "Logic and Philosophy of Time: Themes from Prior" will be held in Copenhagen 22 – 24 November 2017. The project is funded by The Danish Council for Independent Research (FKK).
23.11.2017 kl. 09.30 - 23.11.2017 kl. 10.30
23.11.2017 kl. 10.45 - 23.11.2017 kl. 11.45
23.11.2017 kl. 13.00 - 23.11.2017 kl. 14.00
Department of Electronic Systems and the Signal and Information Processing section are pleased to announce the following Inaugural Lecture by Professor Zheng-Hua Tan. Title of the lecture: "Deep Learning for Signals and Data: Intelligent Machines are Reshaping Our World"
23.11.2017 kl. 14.00 - 23.11.2017 kl. 16.30
Interesserer du dig for børn og unges læring og udvikling? Så kom til eftermiddagsseminar med professor Thomas Nordahl, der ved denne lejlighed tiltræder som adjungeret professor på Institut for Læring og Filosofi, Aalborg Universitet.
24.11.2017 kl. 13.00 - 24.11.2017 kl. 16.00
Lotte Raun will defend her PhD Thesis entitled Designing for service change
24.11.2017 kl. 13.00 - 24.11.2017 kl. 16.00
Ramin Irani will defend his PhD Thesis entitled COMPUTER VISION-BASED METHODS FOR DETECTION AND MEASUREMENT OF PSYCHOPHYSIOLOGICAL INDICATORS