Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity

Jannick Kjær Jørgensen; Nicklas Christensen; Dipen Narendra Dalal; Asger Bjørn Jørgensen; Hongbo Zhao; Stig Munk-Nielsen; Christian Uhrenfeldt

doi:10.1109/ECCE.2019.8913066

Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity

Jannick Kjær Jørgensen, Nicklas Christensen, Dipen Narendra Dalal, Asger Bjørn Jørgensen, Hongbo Zhao, Stig Munk-Nielsen, Christian Uhrenfeldt

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

15 Citations (Scopus)

Abstract

Advances in high breakdown voltage SiC MOSFETs allows design of medium voltage power modules with simpler topologies, however, high dv/dt in addition to high di/dt makes parasitics of power modules more important to consider in loss estimations. Correct estimations can help prevent costly and time-consuming problems in a design process. Data sheet values can be used directly for loss estimation, but more detailed approaches in using device-level SPICE model fitting and inclusion of power module parasitics will give a more detailed estimation and may be used to predict transient behavior at a cost of increased complexity. This paper will quantitatively compare the switching loss predictive capability of different approaches in the case study of a custom-built medium voltage power module for varying operating conditions. It is found that by including parasitics loss prediction error is reduced from 15-25% to a few percent at high DC-link voltage for the case-study chosen.

Original language	English
Title of host publication	Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	7
Place of Publication	Baltimore, MD, USA
Publisher	IEEE Press
Publication date	Sept 2019
Pages	4102-4108
Article number	8913066
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8913066
Publication status	Published - Sept 2019
Event	2019 IEEE Energy Conversion Congress and Exposition - Baltimore, United States Duration: 29 Sept 2019 → 3 Oct 2019 Conference number: 2019 http://www.ieee-ecce.org/2019/

Conference

Conference	2019 IEEE Energy Conversion Congress and Exposition
Number	2019
Country/Territory	United States
City	Baltimore
Period	29/09/2019 → 03/10/2019
Internet address	http://www.ieee-ecce.org/2019/

Series	IEEE Energy Conversion Congress and Exposition
ISSN	2329-3721

Keywords

Loss Estimation
SPICE
Q3D
Medium Voltage
SiC MOSFET

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10.1109/ECCE.2019.8913066

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Cite this

Jørgensen, J. K., Christensen, N., Dalal, D. N., Jørgensen, A. B., Zhao, H., Munk-Nielsen, S., & Uhrenfeldt, C. (2019). Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity. In Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (pp. 4102-4108). Article 8913066 IEEE Press. https://doi.org/10.1109/ECCE.2019.8913066

@inproceedings{f0f3e972c23545d9b7afa01ce392666e,

title = "Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity",

abstract = "Advances in high breakdown voltage SiC MOSFETs allows design of medium voltage power modules with simpler topologies, however, high dv/dt in addition to high di/dt makes parasitics of power modules more important to consider in loss estimations. Correct estimations can help prevent costly and time-consuming problems in a design process. Data sheet values can be used directly for loss estimation, but more detailed approaches in using device-level SPICE model fitting and inclusion of power module parasitics will give a more detailed estimation and may be used to predict transient behavior at a cost of increased complexity. This paper will quantitatively compare the switching loss predictive capability of different approaches in the case study of a custom-built medium voltage power module for varying operating conditions. It is found that by including parasitics loss prediction error is reduced from 15-25% to a few percent at high DC-link voltage for the case-study chosen.",

keywords = "Loss Estimation, SPICE, Q3D, Medium Voltage, SiC MOSFET",

author = "J{\o}rgensen, {Jannick Kj{\ae}r} and Nicklas Christensen and Dalal, {Dipen Narendra} and J{\o}rgensen, {Asger Bj{\o}rn} and Hongbo Zhao and Stig Munk-Nielsen and Christian Uhrenfeldt",

year = "2019",

month = sep,

doi = "10.1109/ECCE.2019.8913066",

language = "English",

series = "IEEE Energy Conversion Congress and Exposition",

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booktitle = "Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)",

publisher = "IEEE Press",

note = "2019 IEEE Energy Conversion Congress and Exposition , ECCE ; Conference date: 29-09-2019 Through 03-10-2019",

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Jørgensen, JK, Christensen, N, Dalal, DN, Jørgensen, AB , Zhao, H , Munk-Nielsen, S & Uhrenfeldt, C 2019, Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity. in Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)., 8913066, IEEE Press, Baltimore, MD, USA, IEEE Energy Conversion Congress and Exposition, pp. 4102-4108, 2019 IEEE Energy Conversion Congress and Exposition , Baltimore, Maryland, United States, 29/09/2019. https://doi.org/10.1109/ECCE.2019.8913066

Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity. / Jørgensen, Jannick Kjær; Christensen, Nicklas; Dalal, Dipen Narendra et al.
Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE). Baltimore, MD, USA: IEEE Press, 2019. p. 4102-4108 8913066 (IEEE Energy Conversion Congress and Exposition).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity

AU - Jørgensen, Jannick Kjær

AU - Christensen, Nicklas

AU - Dalal, Dipen Narendra

AU - Jørgensen, Asger Bjørn

AU - Zhao, Hongbo

AU - Munk-Nielsen, Stig

AU - Uhrenfeldt, Christian

N1 - Conference code: 2019

PY - 2019/9

Y1 - 2019/9

N2 - Advances in high breakdown voltage SiC MOSFETs allows design of medium voltage power modules with simpler topologies, however, high dv/dt in addition to high di/dt makes parasitics of power modules more important to consider in loss estimations. Correct estimations can help prevent costly and time-consuming problems in a design process. Data sheet values can be used directly for loss estimation, but more detailed approaches in using device-level SPICE model fitting and inclusion of power module parasitics will give a more detailed estimation and may be used to predict transient behavior at a cost of increased complexity. This paper will quantitatively compare the switching loss predictive capability of different approaches in the case study of a custom-built medium voltage power module for varying operating conditions. It is found that by including parasitics loss prediction error is reduced from 15-25% to a few percent at high DC-link voltage for the case-study chosen.

AB - Advances in high breakdown voltage SiC MOSFETs allows design of medium voltage power modules with simpler topologies, however, high dv/dt in addition to high di/dt makes parasitics of power modules more important to consider in loss estimations. Correct estimations can help prevent costly and time-consuming problems in a design process. Data sheet values can be used directly for loss estimation, but more detailed approaches in using device-level SPICE model fitting and inclusion of power module parasitics will give a more detailed estimation and may be used to predict transient behavior at a cost of increased complexity. This paper will quantitatively compare the switching loss predictive capability of different approaches in the case study of a custom-built medium voltage power module for varying operating conditions. It is found that by including parasitics loss prediction error is reduced from 15-25% to a few percent at high DC-link voltage for the case-study chosen.

KW - Loss Estimation

KW - SPICE

KW - Q3D

KW - Medium Voltage

KW - SiC MOSFET

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U2 - 10.1109/ECCE.2019.8913066

DO - 10.1109/ECCE.2019.8913066

M3 - Article in proceeding

T3 - IEEE Energy Conversion Congress and Exposition

SP - 4102

EP - 4108

BT - Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE Press

CY - Baltimore, MD, USA

T2 - 2019 IEEE Energy Conversion Congress and Exposition

Y2 - 29 September 2019 through 3 October 2019

ER -

Jørgensen JK, Christensen N, Dalal DN, Jørgensen AB , Zhao H , Munk-Nielsen S et al. Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity. In Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE). Baltimore, MD, USA: IEEE Press. 2019. p. 4102-4108. 8913066. (IEEE Energy Conversion Congress and Exposition). doi: 10.1109/ECCE.2019.8913066

Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Medium Voltage Based on SiC (MV-BASIC)

Modeling and Reducing the Parasitic Capacitance in Medium-Voltage Inductors

Cite this

Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Medium Voltage Based on SiC (MV-BASIC)

Research output

Modeling and Reducing the Parasitic Capacitance in Medium-Voltage Inductors

Cite this