DocumentCode :
708463
Title :
Prediction of bond wire fatigue of IGBTs in a PV inverter under long-term operation
Author :
Reigosa, Paula Diaz ; Huai Wang ; Yongheng Yang ; Blaabjerg, Frede
Author_Institution :
Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
fYear :
2015
fDate :
15-19 March 2015
Firstpage :
3052
Lastpage :
3059
Abstract :
Bond wire fatigue is one of the dominant failure mechanisms in IGBT modules. However, the bond wire lifetime is not easily predictable and measurable to date due to several challenges. To overcome this challenge, this paper proposes a Monte Carlo based analysis method to predict the lifetime consumption of bond wires in a Photovoltaic (PV) inverter under long-term operation. The parameter distributions of IGBTs due to manufacturing variation and the annual stress profiles due to intermittent nature of solar irradiance and ambient temperature are taken into consideration. The proposed method enables a more realistic lifetime prediction with a specified confidence level compared to the state-of-the-art approaches. A study case on IGBT modules in a 10 kW three-phase PV inverter demonstrates the procedure and the results of the analysis. Finally, the lifetime distribution of bond wires permits to estimate the risk of unreliability of a single IGBT in a Photovoltaic (PV) inverter.
Keywords :
Monte Carlo methods; fatigue; insulated gate bipolar transistors; invertors; power bipolar transistors; IGBT; Monte Carlo based analysis; bond wire fatigue prediction; bond wire lifetime; lifetime distribution; lifetime prediction; parameter distributions; photovoltaic inverter; power 10 kW; solar irradiance; three-phase PV inverter; Analytical models; Insulated gate bipolar transistors; Inverters; Loss measurement; Temperature distribution; Temperature measurement; Wires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2015 IEEE
Conference_Location :
Charlotte, NC
Type :
conf
DOI :
10.1109/APEC.2015.7104787
Filename :
7104787
Link To Document :
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