System-level Reliability Assessment of Power Stage in Fuel Cell Application

Dao Zhou; Huai Wang; Frede Blaabjerg; Søren Knudsen Kær; Daniel Blom Hansen

doi:10.1109/ECCE.2016.7855492

System-level Reliability Assessment of Power Stage in Fuel Cell Application

Dao Zhou, Huai Wang, Frede Blaabjerg, Søren Knudsen Kær, Daniel Blom Hansen

AAU Energy

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

27 Citations (Scopus)

117 Downloads (Pure)

Abstract

High efficient and less pollutant fuel cell stacks are emerging and strong candidates of the power solution used for mobile base stations. In the application of the backup power, the availability and reliability hold the highest priority. This paper considers the reliability metrics from the component-level to the system-level for the power stage used in a fuel cell application. It starts with an estimation of the annual accumulated damage for the key power electronic components according to the real mission profile of the fuel cell system. Then, considering the parameter variations in both the lifetime model and the stress levels, the Weibull distribution of the power semiconductors lifetime can be obtained by using Monte Carlo analysis. Afterwards, the reliability block diagram can further be adopted to evaluate the reliability of the power stage based on the estimated power semiconductor reliability. In a case study of a 5 kW fuel cell power stage, the parameter variations of the lifetime model prove that the exponential factor of the junction temperature fluctuation is the most sensitive parameter. Besides, if a 5-out-of-6 redundancy is used, it is concluded both the B10 and the B1 system-level lifetime can be remarkably increased compared to when no redundancy is used.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	8
Publisher	IEEE Press
Publication date	Sept 2016
ISBN (Electronic)	978-1-5090-0737-0
DOIs	https://doi.org/10.1109/ECCE.2016.7855492
Publication status	Published - Sept 2016
Event	8th Annual IEEE Energy Conversion Congress & Exposition: ECCE 2016 - Milwaukee, WI, United States Duration: 18 Sept 2016 → 22 Sept 2016 http://www.ieee-ecce.org/

Conference

Conference	8th Annual IEEE Energy Conversion Congress & Exposition
Country/Territory	United States
City	Milwaukee, WI
Period	18/09/2016 → 22/09/2016
Sponsor	IEEE, IEEE Industry Applications Society (IAS), IEEE Power Electronics and Industry Applications Societies (PELS)
Internet address	http://www.ieee-ecce.org/

Access to Document

10.1109/ECCE.2016.7855492

PID4353245

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

@inproceedings{45c2b269f6f84c94a79a379934b544a7,

title = "System-level Reliability Assessment of Power Stage in Fuel Cell Application",

abstract = "High efficient and less pollutant fuel cell stacks are emerging and strong candidates of the power solution used for mobile base stations. In the application of the backup power, the availability and reliability hold the highest priority. This paper considers the reliability metrics from the component-level to the system-level for the power stage used in a fuel cell application. It starts with an estimation of the annual accumulated damage for the key power electronic components according to the real mission profile of the fuel cell system. Then, considering the parameter variations in both the lifetime model and the stress levels, the Weibull distribution of the power semiconductors lifetime can be obtained by using Monte Carlo analysis. Afterwards, the reliability block diagram can further be adopted to evaluate the reliability of the power stage based on the estimated power semiconductor reliability. In a case study of a 5 kW fuel cell power stage, the parameter variations of the lifetime model prove that the exponential factor of the junction temperature fluctuation is the most sensitive parameter. Besides, if a 5-out-of-6 redundancy is used, it is concluded both the B10 and the B1 system-level lifetime can be remarkably increased compared to when no redundancy is used. ",

author = "Dao Zhou and Huai Wang and Frede Blaabjerg and K{\ae}r, {S{\o}ren Knudsen} and Hansen, {Daniel Blom}",

year = "2016",

month = sep,

doi = "10.1109/ECCE.2016.7855492",

language = "English",

booktitle = "Proceedings of the 2016 IEEE Energy Conversion Congress and Exposition (ECCE)",

publisher = "IEEE Press",

note = " 8th Annual IEEE Energy Conversion Congress & Exposition : ECCE 2016, ECCE 2016 ; Conference date: 18-09-2016 Through 22-09-2016",

url = "http://www.ieee-ecce.org/",

}

Zhou, D , Wang, H , Blaabjerg, F, Kær, SK & Hansen, DB 2016, System-level Reliability Assessment of Power Stage in Fuel Cell Application. in Proceedings of the 2016 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 8th Annual IEEE Energy Conversion Congress & Exposition, Milwaukee, WI, United States, 18/09/2016. https://doi.org/10.1109/ECCE.2016.7855492

TY - GEN

T1 - System-level Reliability Assessment of Power Stage in Fuel Cell Application

AU - Zhou, Dao

AU - Wang, Huai

AU - Blaabjerg, Frede

AU - Kær, Søren Knudsen

AU - Hansen, Daniel Blom

PY - 2016/9

Y1 - 2016/9

N2 - High efficient and less pollutant fuel cell stacks are emerging and strong candidates of the power solution used for mobile base stations. In the application of the backup power, the availability and reliability hold the highest priority. This paper considers the reliability metrics from the component-level to the system-level for the power stage used in a fuel cell application. It starts with an estimation of the annual accumulated damage for the key power electronic components according to the real mission profile of the fuel cell system. Then, considering the parameter variations in both the lifetime model and the stress levels, the Weibull distribution of the power semiconductors lifetime can be obtained by using Monte Carlo analysis. Afterwards, the reliability block diagram can further be adopted to evaluate the reliability of the power stage based on the estimated power semiconductor reliability. In a case study of a 5 kW fuel cell power stage, the parameter variations of the lifetime model prove that the exponential factor of the junction temperature fluctuation is the most sensitive parameter. Besides, if a 5-out-of-6 redundancy is used, it is concluded both the B10 and the B1 system-level lifetime can be remarkably increased compared to when no redundancy is used.

AB - High efficient and less pollutant fuel cell stacks are emerging and strong candidates of the power solution used for mobile base stations. In the application of the backup power, the availability and reliability hold the highest priority. This paper considers the reliability metrics from the component-level to the system-level for the power stage used in a fuel cell application. It starts with an estimation of the annual accumulated damage for the key power electronic components according to the real mission profile of the fuel cell system. Then, considering the parameter variations in both the lifetime model and the stress levels, the Weibull distribution of the power semiconductors lifetime can be obtained by using Monte Carlo analysis. Afterwards, the reliability block diagram can further be adopted to evaluate the reliability of the power stage based on the estimated power semiconductor reliability. In a case study of a 5 kW fuel cell power stage, the parameter variations of the lifetime model prove that the exponential factor of the junction temperature fluctuation is the most sensitive parameter. Besides, if a 5-out-of-6 redundancy is used, it is concluded both the B10 and the B1 system-level lifetime can be remarkably increased compared to when no redundancy is used.

U2 - 10.1109/ECCE.2016.7855492

DO - 10.1109/ECCE.2016.7855492

M3 - Article in proceeding

BT - Proceedings of the 2016 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE Press

T2 - 8th Annual IEEE Energy Conversion Congress & Exposition

Y2 - 18 September 2016 through 22 September 2016

ER -

System-level Reliability Assessment of Power Stage in Fuel Cell Application

Abstract

Conference

Access to Document

AUB Link

Fingerprint

Cite this