Digital Twin Model Design of Three-phase Inverter for Reliability Prediction

Cen Chen; Chengzhi Sun; Wei Zheng; Yuchen Zhang; Yi Xu; Xuerong Ye; Guofu Zhai

Digital Twin Model Design of Three-phase Inverter for Reliability Prediction

Cen Chen
, Chengzhi Sun
, Wei Zheng
, Yuchen Zhang
, Yi Xu
, Xuerong Ye
, Guofu Zhai

School of Electrical Engineering and Automation

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

Abstract

Three-phase inverter is widely used in DC-AC power supply, motor drive, photovoltaic inverter, etc., whose reliability and stability are fundamental of efficient operation of various electrical systems. Digital twin technology can realize the life cycle performance analysis of the product by ingeniously combining data derived from multi-source and multi-level. Aiming at the reliability prediction, Saber, ANSYS and other software are used as carriers, and a 270V DC three-phase inverter is carried out to study the method of establishing the digital prototype model by integrating circuit models, behavior models and physical models. On this basis, taking DC/DC modules, diodes, MOSFETs, operational amplifiers, drivers as examples, the equivalent injection method of physics of failure models integrating performance degradation and functional failure is studied. Finally, a test method for products is researched to verify the validity and accuracy of the three-phase inverter digital twin model.

Original language	English
Title of host publication	ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts
Editors	Jingqin Wang, Jingying Zhao
Publisher	International Academic Publishers
Pages	202-206
Number of pages	5
ISBN (Electronic)	9789881532374
State	Published - 2022
Event	8th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2022 - Xiamen, China Duration: 18 Nov 2022 → 20 Nov 2022

Publication series

Name	ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts

Conference

Conference	8th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2022
Country/Territory	China
City	Xiamen
Period	18/11/22 → 20/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Three phase inverter
digital prototype model
failure physical model
test method

Cite this

Chen, C., Sun, C., Zheng, W., Zhang, Y., Xu, Y., Ye, X., & Zhai, G. (2022). Digital Twin Model Design of Three-phase Inverter for Reliability Prediction. In J. Wang, & J. Zhao (Eds.), ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts (pp. 202-206). (ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts). International Academic Publishers.

Chen, Cen ; Sun, Chengzhi ; Zheng, Wei et al. / Digital Twin Model Design of Three-phase Inverter for Reliability Prediction. ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts. editor / Jingqin Wang ; Jingying Zhao. International Academic Publishers, 2022. pp. 202-206 (ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts).

@inproceedings{c88708a2149c4926bcc38f3753f14ff9,

title = "Digital Twin Model Design of Three-phase Inverter for Reliability Prediction",

abstract = "Three-phase inverter is widely used in DC-AC power supply, motor drive, photovoltaic inverter, etc., whose reliability and stability are fundamental of efficient operation of various electrical systems. Digital twin technology can realize the life cycle performance analysis of the product by ingeniously combining data derived from multi-source and multi-level. Aiming at the reliability prediction, Saber, ANSYS and other software are used as carriers, and a 270V DC three-phase inverter is carried out to study the method of establishing the digital prototype model by integrating circuit models, behavior models and physical models. On this basis, taking DC/DC modules, diodes, MOSFETs, operational amplifiers, drivers as examples, the equivalent injection method of physics of failure models integrating performance degradation and functional failure is studied. Finally, a test method for products is researched to verify the validity and accuracy of the three-phase inverter digital twin model.",

keywords = "Three phase inverter, digital prototype model, failure physical model, test method",

author = "Cen Chen and Chengzhi Sun and Wei Zheng and Yuchen Zhang and Yi Xu and Xuerong Ye and Guofu Zhai",

note = "Publisher Copyright: {\textcopyright} ICREPEC 2022.All rights reserved; 8th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2022 ; Conference date: 18-11-2022 Through 20-11-2022",

year = "2022",

language = "英语",

series = "ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts",

publisher = "International Academic Publishers",

pages = "202--206",

editor = "Jingqin Wang and Jingying Zhao",

booktitle = "ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts",

}

Chen, C, Sun, C, Zheng, W, Zhang, Y, Xu, Y, Ye, X & Zhai, G 2022, Digital Twin Model Design of Three-phase Inverter for Reliability Prediction. in J Wang & J Zhao (eds), ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts. ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts, International Academic Publishers, pp. 202-206, 8th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2022, Xiamen, China, 18/11/22.

Digital Twin Model Design of Three-phase Inverter for Reliability Prediction. / Chen, Cen; Sun, Chengzhi; Zheng, Wei et al.
ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts. ed. / Jingqin Wang; Jingying Zhao. International Academic Publishers, 2022. p. 202-206 (ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts).

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

TY - GEN

T1 - Digital Twin Model Design of Three-phase Inverter for Reliability Prediction

AU - Chen, Cen

AU - Sun, Chengzhi

AU - Zheng, Wei

AU - Zhang, Yuchen

AU - Xu, Yi

AU - Ye, Xuerong

AU - Zhai, Guofu

PY - 2022

Y1 - 2022

N2 - Three-phase inverter is widely used in DC-AC power supply, motor drive, photovoltaic inverter, etc., whose reliability and stability are fundamental of efficient operation of various electrical systems. Digital twin technology can realize the life cycle performance analysis of the product by ingeniously combining data derived from multi-source and multi-level. Aiming at the reliability prediction, Saber, ANSYS and other software are used as carriers, and a 270V DC three-phase inverter is carried out to study the method of establishing the digital prototype model by integrating circuit models, behavior models and physical models. On this basis, taking DC/DC modules, diodes, MOSFETs, operational amplifiers, drivers as examples, the equivalent injection method of physics of failure models integrating performance degradation and functional failure is studied. Finally, a test method for products is researched to verify the validity and accuracy of the three-phase inverter digital twin model.

AB - Three-phase inverter is widely used in DC-AC power supply, motor drive, photovoltaic inverter, etc., whose reliability and stability are fundamental of efficient operation of various electrical systems. Digital twin technology can realize the life cycle performance analysis of the product by ingeniously combining data derived from multi-source and multi-level. Aiming at the reliability prediction, Saber, ANSYS and other software are used as carriers, and a 270V DC three-phase inverter is carried out to study the method of establishing the digital prototype model by integrating circuit models, behavior models and physical models. On this basis, taking DC/DC modules, diodes, MOSFETs, operational amplifiers, drivers as examples, the equivalent injection method of physics of failure models integrating performance degradation and functional failure is studied. Finally, a test method for products is researched to verify the validity and accuracy of the three-phase inverter digital twin model.

KW - Three phase inverter

KW - digital prototype model

KW - failure physical model

KW - test method

UR - https://www.scopus.com/pages/publications/85153533746

M3 - 会议稿件

AN - SCOPUS:85153533746

T3 - ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts

SP - 202

EP - 206

BT - ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts

A2 - Wang, Jingqin

A2 - Zhao, Jingying

PB - International Academic Publishers

T2 - 8th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2022

Y2 - 18 November 2022 through 20 November 2022

ER -

Chen C, Sun C, Zheng W, Zhang Y, Xu Y, Ye X et al. Digital Twin Model Design of Three-phase Inverter for Reliability Prediction. In Wang J, Zhao J, editors, ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts. International Academic Publishers. 2022. p. 202-206. (ICREPEC 2022 - Proceedings of the 8th International Conference on Reliability of Electrical Products and Electrical Contacts).

Digital Twin Model Design of Three-phase Inverter for Reliability Prediction

Abstract

Publication series

Conference

UN SDGs

Keywords

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