Research on Machine Learning-Assisted Numerical Simulation Methods for IGBT Module Bonded Interface Fatigue Damage

Bonded interface cracking is the primary failure mode of insulated gate bipolar transistor (IGBT) modules during prolonged operation. A numerical simulation method that effectively characterizes fatigue crack propagation at the bonded interface of IGBT modules under power cycling conditions was developed in this study. First, power cycling tests were performed for different numbers of cycles, followed by pull tests on the Al bond wires, obtaining load-displacement (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ) curves for the bonded interface after different power cycles. Then, a finite element-fatigue cohesive zone model (FE-FCZM) was established, considering the cumulative effects of interface damage during the power cycling. To determine the FCZM parameters, the influence of these parameters on the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curves was investigated using sensitivity analysis, and the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curves for different degrees of damage at the bonded interface were calculated after various numbers of power cycles. A machine learning (ML) model was subsequently established utilizing the simulated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curve as input and the FCZM parameters as outputs, effectively identifying the FCZM parameters. Finally, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curves obtained from numerical simulations and experiments, as well as the degree of damage at the bonded interface, were compared to verify the accuracy of the ML method and the numerical simulation method for bonded interface fatigue damage proposed in this study. In addition, the proposed method was used to predict the lifetime of IGBT modules, and compared with several commonly used lifetime models. The results show that the proposed method has the smallest error among all the models that were compared. This article provides a numerical method for describing the damage failure of the bonded interface in IGBT modules, which is significant for lifetime prediction and reliability assessment.

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Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2025-04-21
DOI
https://doi.org/10.1109/jestpe.2025.3562891
Citations
3
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
2.19

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article

Research on Machine Learning-Assisted Numerical Simulation Methods for IGBT Module Bonded Interface Fatigue Damage

Tong An, Fei Qin, Shaojun Zhao
3 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
Silicon Carbide Semiconductor Technologies
2.19
article

Research on Machine Learning-Assisted Numerical Simulation Methods for IGBT Module Bonded Interface Fatigue Damage

Tong An, Fei Qin, Shaojun Zhao
article en
3 citations

Abstract

Bonded interface cracking is the primary failure mode of insulated gate bipolar transistor (IGBT) modules during prolonged operation. A numerical simulation method that effectively characterizes fatigue crack propagation at the bonded interface of IGBT modules under power cycling conditions was developed in this study. First, power cycling tests were performed for different numbers of cycles, followed by pull tests on the Al bond wires, obtaining load-displacement (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ) curves for the bonded interface after different power cycles. Then, a finite element-fatigue cohesive zone model (FE-FCZM) was established, considering the cumulative effects of interface damage during the power cycling. To determine the FCZM parameters, the influence of these parameters on the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curves was investigated using sensitivity analysis, and the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curves for different degrees of damage at the bonded interface were calculated after various numbers of power cycles. A machine learning (ML) model was subsequently established utilizing the simulated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curve as input and the FCZM parameters as outputs, effectively identifying the FCZM parameters. Finally, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i>-δ curves obtained from numerical simulations and experiments, as well as the degree of damage at the bonded interface, were compared to verify the accuracy of the ML method and the numerical simulation method for bonded interface fatigue damage proposed in this study. In addition, the proposed method was used to predict the lifetime of IGBT modules, and compared with several commonly used lifetime models. The results show that the proposed method has the smallest error among all the models that were compared. This article provides a numerical method for describing the damage failure of the bonded interface in IGBT modules, which is significant for lifetime prediction and reliability assessment.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(3)
Beijing Institute of Technology (CN), Beijing University of Technology (CN), Institute of Electronics (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 13%
Silicon Carbide Semiconductor Technologies
2.19
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