TY - GEN
T1 - Evaluation of an automated modeling tool applied to new 600 v, 2 a vertical GaN transistors
AU - Watt, Grace
AU - Courtay, Alan
AU - Romero, Amy
AU - Burgos, Rolando
AU - Chu, Rongming
AU - Boroyevich, Dushan
N1 - Funding Information:
Monolith SiC MOSFET devices were provided under subrecipient agreement and subsequently referenced device test data in Section V, resulted in part, from work supported by the U.S. Department of Energy, Vehicle Technologies Office (VTO) under Award Number DE-EE-0007285, Highly Integrated Wide Bandgap Power Module for Next Generation Plug-in Vehicles.
Funding Information:
The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR000450 (SWITCHES), managed by Dr. Isik Kizilyalli.
Funding Information:
The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR000450, Strategies for Wide-Bandgap, Inexpensive Transistors for Controlling High Efficiency Systems (SWITCHES), with HRL Laboratories, LLC., managed by Dr. Isik Kizilyalli.
Funding Information:
The authors acknowledge the financial support provided by the U.S. Department of Energy Advanced Manufacturing Office through the Wide Bandgap Generation (WBGen) Fellowship at the Center for Power Electronics Systems (CPES) at Virginia Tech (http://www.eng.vt.edu/WBGen).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/24
Y1 - 2019/5/24
N2 - The Power MOSFET Tool through Synopsys® Saber® can estimate static and dynamic behaviors of devices given measured static and dynamic characteristic curves. Model parameters are made accessible for behavior simulation and design optimization even if a datasheet is unavailable or more advanced device properties are in developmental stages. This functionality makes the tool ideal for predicting the behavior of a new GaN semiconductor in a circuit. Therefore, this paper first demonstrates a SiC model with accurate static and dynamic waveforms confirming the efficacy of the tool beyond Si. Second, this paper presents a model of a vertical GaN transistor using the Power MOSFET Tool which is compared against experimental static and dynamic measurements. The vertical GaN subcircuit model matches the experimental static results within 8.42% error. The model predicts the 8.48 ns turn-on and 30.2 turn-off time within a couple nanoseconds. With optimization of the parasitic elements in the circuit, the model matches the rise and fall rates as well as the frequency and magnitude of the ringing. Therefore, the model would simulate reliable switching times and losses critical for predicting devices' behavior in prospective applications.
AB - The Power MOSFET Tool through Synopsys® Saber® can estimate static and dynamic behaviors of devices given measured static and dynamic characteristic curves. Model parameters are made accessible for behavior simulation and design optimization even if a datasheet is unavailable or more advanced device properties are in developmental stages. This functionality makes the tool ideal for predicting the behavior of a new GaN semiconductor in a circuit. Therefore, this paper first demonstrates a SiC model with accurate static and dynamic waveforms confirming the efficacy of the tool beyond Si. Second, this paper presents a model of a vertical GaN transistor using the Power MOSFET Tool which is compared against experimental static and dynamic measurements. The vertical GaN subcircuit model matches the experimental static results within 8.42% error. The model predicts the 8.48 ns turn-on and 30.2 turn-off time within a couple nanoseconds. With optimization of the parasitic elements in the circuit, the model matches the rise and fall rates as well as the frequency and magnitude of the ringing. Therefore, the model would simulate reliable switching times and losses critical for predicting devices' behavior in prospective applications.
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U2 - 10.1109/APEC.2019.8721880
DO - 10.1109/APEC.2019.8721880
M3 - Conference contribution
AN - SCOPUS:85067130281
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 2920
EP - 2927
BT - 34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019
Y2 - 17 March 2019 through 21 March 2019
ER -