SiC-Based Intelligent Power Stage with Device Prognosis & Diagnosis and ZVRT Capability

Xiaofeng Dong; Hui Li; Sandro Martin; Sanghun Kim; Dongwoo Han; Fang Z. Peng; Jinyeong Moon; Yuan Li; M. S. Chinthavali; R. S.K. Moorthy

doi:10.1109/APEC43599.2022.9773384

SiC-Based Intelligent Power Stage with Device Prognosis & Diagnosis and ZVRT Capability

Xiaofeng Dong, Hui Li, Sandro Martin, Sanghun Kim, Dongwoo Han, Fang Z. Peng, Jinyeong Moon, Yuan Li, M. S. Chinthavali, R. S.K. Moorthy

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

Abstract

A SiC-based intelligent power stage (IPS) with zero-voltage-ride-through (ZVRT) and device prognosis & diagnosis (P&D) capability is proposed for power electronics grid interface systems. Compared to other grid-tied power converters, the proposed IPS embeds online health monitoring of SiC device into its intelligent and integrated gate drivers (i2GDs). In addition, a low-latency hardware-based approach with fast-response is developed to suppress large inrush current during ZVRT transients. The fiber-optic based robust communication architecture to transfer SiC device health status signals, P&D information, PWM signals, as well as fault signals between IPS local controller and i2GDs are illustrated. A 50kW IPS prototype is built and tested in the laboratory. Simulation and experimental results are presented to validate the advanced features of proposed IPS.

Original language	English
Pages	1525-1531
Number of pages	7
DOIs	https://doi.org/10.1109/APEC43599.2022.9773384
State	Published - 2022
Event	37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022 - Houston, United States Duration: Mar 20 2022 → Mar 24 2022

Conference

Conference	37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022
Country/Territory	United States
City	Houston
Period	03/20/22 → 03/24/22

Funding

ACKNOWLEDGMENT This project was supported by Oak Ridge National Laboratory (ORNL) funded through the Department of Energy (DOE) - Office of Electricity’s (OE), Transformer Resilience and Advanced Components (TRAC) program led by the program manager Andre Pereira.

Keywords

Active gate drive
Communication
Health monitoring
Intelligent power stage
Prognosis & diagnosis
SiC
Zero-voltage-ride-through

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10.1109/APEC43599.2022.9773384

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Dong, X., Li, H., Martin, S., Kim, S., Han, D., Peng, F. Z., Moon, J., Li, Y., Chinthavali, M. S., & Moorthy, R. S. K. (2022). SiC-Based Intelligent Power Stage with Device Prognosis & Diagnosis and ZVRT Capability. 1525-1531. Paper presented at 37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022, Houston, United States. https://doi.org/10.1109/APEC43599.2022.9773384

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title = "SiC-Based Intelligent Power Stage with Device Prognosis & Diagnosis and ZVRT Capability",

abstract = "A SiC-based intelligent power stage (IPS) with zero-voltage-ride-through (ZVRT) and device prognosis & diagnosis (P&D) capability is proposed for power electronics grid interface systems. Compared to other grid-tied power converters, the proposed IPS embeds online health monitoring of SiC device into its intelligent and integrated gate drivers (i2GDs). In addition, a low-latency hardware-based approach with fast-response is developed to suppress large inrush current during ZVRT transients. The fiber-optic based robust communication architecture to transfer SiC device health status signals, P&D information, PWM signals, as well as fault signals between IPS local controller and i2GDs are illustrated. A 50kW IPS prototype is built and tested in the laboratory. Simulation and experimental results are presented to validate the advanced features of proposed IPS.",

keywords = "Active gate drive, Communication, Health monitoring, Intelligent power stage, Prognosis & diagnosis, SiC, Zero-voltage-ride-through",

author = "Xiaofeng Dong and Hui Li and Sandro Martin and Sanghun Kim and Dongwoo Han and Peng, {Fang Z.} and Jinyeong Moon and Yuan Li and Chinthavali, {M. S.} and Moorthy, {R. S.K.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022 ; Conference date: 20-03-2022 Through 24-03-2022",

year = "2022",

doi = "10.1109/APEC43599.2022.9773384",

language = "English",

pages = "1525--1531",

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Dong, X, Li, H, Martin, S, Kim, S, Han, D, Peng, FZ, Moon, J, Li, Y, Chinthavali, MS & Moorthy, RSK 2022, 'SiC-Based Intelligent Power Stage with Device Prognosis & Diagnosis and ZVRT Capability', Paper presented at 37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022, Houston, United States, 03/20/22 - 03/24/22 pp. 1525-1531. https://doi.org/10.1109/APEC43599.2022.9773384

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AU - Dong, Xiaofeng

AU - Li, Hui

AU - Martin, Sandro

AU - Kim, Sanghun

AU - Han, Dongwoo

AU - Peng, Fang Z.

AU - Moon, Jinyeong

AU - Li, Yuan

AU - Chinthavali, M. S.

AU - Moorthy, R. S.K.

PY - 2022

Y1 - 2022

N2 - A SiC-based intelligent power stage (IPS) with zero-voltage-ride-through (ZVRT) and device prognosis & diagnosis (P&D) capability is proposed for power electronics grid interface systems. Compared to other grid-tied power converters, the proposed IPS embeds online health monitoring of SiC device into its intelligent and integrated gate drivers (i2GDs). In addition, a low-latency hardware-based approach with fast-response is developed to suppress large inrush current during ZVRT transients. The fiber-optic based robust communication architecture to transfer SiC device health status signals, P&D information, PWM signals, as well as fault signals between IPS local controller and i2GDs are illustrated. A 50kW IPS prototype is built and tested in the laboratory. Simulation and experimental results are presented to validate the advanced features of proposed IPS.

AB - A SiC-based intelligent power stage (IPS) with zero-voltage-ride-through (ZVRT) and device prognosis & diagnosis (P&D) capability is proposed for power electronics grid interface systems. Compared to other grid-tied power converters, the proposed IPS embeds online health monitoring of SiC device into its intelligent and integrated gate drivers (i2GDs). In addition, a low-latency hardware-based approach with fast-response is developed to suppress large inrush current during ZVRT transients. The fiber-optic based robust communication architecture to transfer SiC device health status signals, P&D information, PWM signals, as well as fault signals between IPS local controller and i2GDs are illustrated. A 50kW IPS prototype is built and tested in the laboratory. Simulation and experimental results are presented to validate the advanced features of proposed IPS.

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KW - Communication

KW - Health monitoring

KW - Intelligent power stage

KW - Prognosis & diagnosis

KW - SiC

KW - Zero-voltage-ride-through

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T2 - 37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022

Y2 - 20 March 2022 through 24 March 2022

ER -

SiC-Based Intelligent Power Stage with Device Prognosis & Diagnosis and ZVRT Capability

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