Worldwide Physics-Based Analysis of Solder Bond Failure in c-Si Modules for Lifetime Prediction

被引:9
|
作者
Asadpour, Reza [1 ]
Patel, Muhammed Tahir [1 ]
Clark, Steven [2 ]
Alam, Muhammad A. [1 ]
机构
[1] Purdue Univ, W Lafayette, IN 47907 USA
[2] San Diego Supercomp Ctr, La Jolla, CA 92093 USA
基金
美国国家科学基金会;
关键词
solder bond failure; characterization; predictive modeling; series resistance; lifetime prediction; qualification test; output power;
D O I
10.1109/PVSC43889.2021.9518931
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Lifetime prediction of the fielded c-Si solar modules due to location-specific weather conditions has been an important topic of photovoltaic research and the economic viability of solar energy. Data analytic techniques such as Performance Ratio method, Statistical Clear Sky model, and Suns-Vmp methods quantify the degradation from measured data of a solar farm, however, the non-linear time-dependence and correlated degradations make it difficult to use the empirical degradation rates for ultimate lifetime projection. In this paper, we propose a complementary physics-based model to predict the solder bond failure caused by mechanical stress associated with the daily or seasonal variations of the temperature. Given the worldwide weather information from NASA database, the proposed model predicts the location-specific output power degradation and the lifetime of a module due to solder bond failure. The model parameters are obtained by calibrating against qualification tests involving thermal cycling. This model will serve as a building block of a more comprehensive reliability model that can predict the lifetime of a module that experiences simultaneous and correlated degradation mechanisms involving yellowing, corrosion, and potential-induced degradations.
引用
收藏
页码:260 / 263
页数:4
相关论文
共 50 条
  • [31] Lifetime prediction for power modules in wind-energy converters based on temperature variations in a large area substrate solder connection☆
    Zoellner, Nils
    Schilling, Oliver
    Uebelacker, David
    Heise, Tobias
    Eckel, Hans-Guenter
    MICROELECTRONICS RELIABILITY, 2025, 168
  • [32] Degradation of micromorphous thin-film silicon (α-Si/μc-Si) solar modules: Evaluation of seasonal efficiency based on the data of monitoring
    D. A. Bogdanov
    G. A. Gorbatovskii
    V. N. Verbitskii
    A. V. Bobyl
    E. I. Terukov
    Semiconductors, 2017, 51 : 1180 - 1185
  • [33] Degradation of micromorphous thin-film silicon (α-Si/μc-Si) solar modules: Evaluation of seasonal efficiency based on the data of monitoring
    Bogdanov, D. A.
    Gorbatovskii, G. A.
    Verbitskii, V. N.
    Bobyl, A. V.
    Terukov, E. I.
    SEMICONDUCTORS, 2017, 51 (09) : 1180 - 1185
  • [34] Failure Mechanism Analysis and Physics-of-Failure Lifetime Prediction Method for Press-Pack Thyristor of Converter Valve
    Liang, Ning
    Zhang, Zhigang
    Gou, Yating
    Liu, Cuicui
    Yang, Zebin
    Chen, Jiangnan
    Zhuo, Fang
    Wang, Feng
    2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA), 2018, : 1157 - 1161
  • [35] Physics-based natural gradient boosting probabilistic prediction model for seismic failure modes of reinforced concrete columns
    Cheng, Hao
    Yu, Bo
    STRUCTURES, 2024, 66
  • [36] Physics of failure-based degradation modeling and lifetime prediction of the momentum wheel in a dynamic covariate environment
    Jin, Guang
    Matthews, David
    Fan, Youwen
    Liu, Qiang
    ENGINEERING FAILURE ANALYSIS, 2013, 28 : 222 - 240
  • [37] Determination of Dominant Failure Modes Using FMECA on the Field Deployed c-Si Modules Under Hot-Dry Desert Climate
    Shrestha, Sanjay Mohan
    Mallineni, Jaya Krishna
    Yedidi, Karan Rao
    Knisely, Brett
    Tatapudi, Sai
    Kuitche, Joseph
    TamizhMani, GovindaSamy
    IEEE JOURNAL OF PHOTOVOLTAICS, 2015, 5 (01): : 174 - 182
  • [38] Statistical Analysis of back surface vs. cell temperatures of c-Si Modules using Measurement Error Models
    Kuitche, Joseph M.
    Pan, Rong
    TamizhMani, Govindasamy
    2012 38TH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC), 2012, : 2953 - 2956
  • [39] Long-term reliability of photovoltaic c-Si modules - A detailed assessment based on the first Italian BIPV project
    Del Pero, C.
    Aste, N.
    Leonforte, F.
    Sfolcini, F.
    SOLAR ENERGY, 2023, 264
  • [40] Moisture Ingress Modeling in c-Si PV Modules using Finite Element Simulations Based on Dual Transport Diffusion
    Anagha, E. R.
    Kulkarni, S., V
    Shiradkar, Narendra
    2021 IEEE 48TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC), 2021, : 2470 - 2474