Three-phase motor inverter and current sensing GaN power IC
Abstract: A three-phase GaN-based motor inverter IC with three integrated phase current mirror sensors (sense-FETs or sense-HEMTs, 1200:1 ratio), a temperature sensor, and an amplifier is presented and experimentally operated. The three low-side currents are read out by virtual grounding transimpedance amplifiers. A modified summed DC current readout circuit using only one amplifier is also discussed. During continuous 24 V motor operation with space-vector pulse width modulation (SVPWM), the sensor signal is measured and a bidirectional measurement capability is verified. The measured risetime of the sensor signal is 51 ns, indicating around 7 MHz bandwidth (without intentional optimization for high bandwidth). The IC is operated up to 32 V on DC-biased semi-floating substrate to limit negative static back-gating of the high-side transistors to around −7% of the DC-link voltage. Analysis of the capacitive coupling from the three switch-nodes to the substrate is calculated for SVPWM based on capacitance measurement, resulting in four discrete semi-floating substrate voltage levels, which is experimentally verified. Integrated advanced power converter topologies with sensors improve the power density of power electronics applications, such as for low-voltage motor drive
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Sensors. - 23, 14 (2023) , 6512, ISSN: 1424-8220
- Klassifikation
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Elektrotechnik, Elektronik
- Ereignis
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Veröffentlichung
- (wo)
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Freiburg
- (wer)
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Universität
- (wann)
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2023
- Urheber
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Moench, Stefan
Reiner, Richard
Basler, Michael
Grieshaber, Daniel
Benkhelifa, Fouad
Waltereit, Patrick
Quay, Rüdiger
- DOI
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10.3390/s23146512
- URN
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urn:nbn:de:bsz:25-freidok-2390749
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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25.03.2025, 13:43 MEZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Moench, Stefan
- Reiner, Richard
- Basler, Michael
- Grieshaber, Daniel
- Benkhelifa, Fouad
- Waltereit, Patrick
- Quay, Rüdiger
- Universität
Entstanden
- 2023
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