Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter

Junchong Fan; Dihao Ma; Jin Wang; Madhu Chinthavali; R. S.K. Moorthy

doi:10.1109/ECCE50734.2022.9947453

Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter

Junchong Fan, Dihao Ma, Jin Wang, Madhu Chinthavali, R. S.K. Moorthy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper proposes and demonstrates a real-time condition monitoring method using gate driver integrated sensing circuits and sensor fusion algorithms. Power device on-state voltage (VDSon) measurement and junction temperature (Tj) sensing circuits with high noise immunity are built and integrated into an adaptive gate driver circuit for power modules. Considering the inherently noisy measurement environment of power converters, VDSon together with several other measurements are fused together to provide accurate descriptions of the stress and degradation of each power device. Furthermore, the gate driver circuit can actively control the turn-on gate voltage (VGSon) for each device based on the stress and degradation state. The proposed sensing circuits and power device condition assessment algorithms are implemented in a 75 KVA grid-tied power converter. This paper focuses on the sensing circuits hardware designs and testing in grid-tied power converter prototype and device stress index generation. More comprehensive results on the device state of health index generation will be presented in future work.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9947453
State	Published - 2022
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: Oct 9 2022 → Oct 13 2022

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	10/9/22 → 10/13/22

Funding

ACKNOWLEDGMENT This project was supported by Oak Ridge National Laboratory, 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

Condition monitoring
Kalman filter (KF)
MOSFET reliability
fault diagnosis
health monitoring
silicon-carbide (SiC)

Access to Document

10.1109/ECCE50734.2022.9947453

Cite this

Fan, J., Ma, D., Wang, J., Chinthavali, M., & Moorthy, R. S. K. (2022). Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9947453

@inproceedings{5e33dad7509c4765a40c67d5d1a0a89d,

title = "Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter",

abstract = "This paper proposes and demonstrates a real-time condition monitoring method using gate driver integrated sensing circuits and sensor fusion algorithms. Power device on-state voltage (VDSon) measurement and junction temperature (Tj) sensing circuits with high noise immunity are built and integrated into an adaptive gate driver circuit for power modules. Considering the inherently noisy measurement environment of power converters, VDSon together with several other measurements are fused together to provide accurate descriptions of the stress and degradation of each power device. Furthermore, the gate driver circuit can actively control the turn-on gate voltage (VGSon) for each device based on the stress and degradation state. The proposed sensing circuits and power device condition assessment algorithms are implemented in a 75 KVA grid-tied power converter. This paper focuses on the sensing circuits hardware designs and testing in grid-tied power converter prototype and device stress index generation. More comprehensive results on the device state of health index generation will be presented in future work.",

keywords = "Condition monitoring, Kalman filter (KF), MOSFET reliability, fault diagnosis, health monitoring, silicon-carbide (SiC)",

author = "Junchong Fan and Dihao Ma and Jin Wang and Madhu Chinthavali and Moorthy, {R. S.K.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 ; Conference date: 09-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/ECCE50734.2022.9947453",

language = "English",

series = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Fan, J, Ma, D, Wang, J, Chinthavali, M & Moorthy, RSK 2022, Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 10/9/22. https://doi.org/10.1109/ECCE50734.2022.9947453

Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter. / Fan, Junchong; Ma, Dihao; Wang, Jin et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Fan, Junchong

AU - Ma, Dihao

AU - Wang, Jin

AU - Chinthavali, Madhu

AU - Moorthy, R. S.K.

PY - 2022

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N2 - This paper proposes and demonstrates a real-time condition monitoring method using gate driver integrated sensing circuits and sensor fusion algorithms. Power device on-state voltage (VDSon) measurement and junction temperature (Tj) sensing circuits with high noise immunity are built and integrated into an adaptive gate driver circuit for power modules. Considering the inherently noisy measurement environment of power converters, VDSon together with several other measurements are fused together to provide accurate descriptions of the stress and degradation of each power device. Furthermore, the gate driver circuit can actively control the turn-on gate voltage (VGSon) for each device based on the stress and degradation state. The proposed sensing circuits and power device condition assessment algorithms are implemented in a 75 KVA grid-tied power converter. This paper focuses on the sensing circuits hardware designs and testing in grid-tied power converter prototype and device stress index generation. More comprehensive results on the device state of health index generation will be presented in future work.

AB - This paper proposes and demonstrates a real-time condition monitoring method using gate driver integrated sensing circuits and sensor fusion algorithms. Power device on-state voltage (VDSon) measurement and junction temperature (Tj) sensing circuits with high noise immunity are built and integrated into an adaptive gate driver circuit for power modules. Considering the inherently noisy measurement environment of power converters, VDSon together with several other measurements are fused together to provide accurate descriptions of the stress and degradation of each power device. Furthermore, the gate driver circuit can actively control the turn-on gate voltage (VGSon) for each device based on the stress and degradation state. The proposed sensing circuits and power device condition assessment algorithms are implemented in a 75 KVA grid-tied power converter. This paper focuses on the sensing circuits hardware designs and testing in grid-tied power converter prototype and device stress index generation. More comprehensive results on the device state of health index generation will be presented in future work.

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KW - Kalman filter (KF)

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KW - fault diagnosis

KW - health monitoring

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Y2 - 9 October 2022 through 13 October 2022

ER -

Real-time Condition Monitoring of Power Modules in Grid-tied Power Converter

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