Thermal Parameter Monitoring of IGBT Module Using Junction Temperature Cooling Curves

2019 ◽  
Vol 66 (10) ◽  
pp. 8148-8160 ◽  
Author(s):  
Jun Zhang ◽  
Xiong Du ◽  
Yaoyi Yu ◽  
Shuai Zheng ◽  
Pengju Sun ◽  
...  
Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1791 ◽  
Author(s):  
Qingyi Kong ◽  
Mingxing Du ◽  
Ziwei Ouyang ◽  
Kexin Wei ◽  
William Gerard Hurley

On-state voltage is an important thermal parameter for insulated gate bipolar transistor (IGBT) modules. It is employed widely to predict failure in IGBT module bond wires. However, due to restrictions in work environments and measurement methods, it is difficult to ensure the measurement accuracy for the on-state voltage under practical working conditions. To address this problem, an on-state voltage separation strategy is proposed for the IGBT modules with respect to the influence of collector current (Ic) and junction temperature (Tj). This method involves the separation of the on-state voltage into a dependent part and two independent parts during the IGBT module bond wire prediction. Based on the proposed separation strategy, the independent parts in the failure prediction can be removed, making it possible to directly monitor the voltage variations caused by bond wire failure. The experimental results demonstrate that the proposed diagnosis strategy can accurately predict the bond wire failure stage in an IGBT module under different conditions.


2019 ◽  
Vol 34 (8) ◽  
pp. 7942-7956 ◽  
Author(s):  
Jun Zhang ◽  
Xiong Du ◽  
Yu Wu ◽  
Quanming Luo ◽  
Pengju Sun ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3962 ◽  
Author(s):  
Zilang Hu ◽  
Xinglai Ge ◽  
Dong Xie ◽  
Yichi Zhang ◽  
Bo Yao ◽  
...  

The aging fracture of bonding wire is one of the main reasons for failure of insulated gate bipolar transistor (IGBT). This paper proposes an online monitoring method for IGBT bonding wire aging that does not interfere with the normal operation of the IGBT module. A quantitative analysis of aging degree was first performed, and the results of multivariate and univariate monitoring were compared. Based on the relationship between the monitoring parameters and the aging of the IGBT bonding wire, gradual damage of the IGBT bond wire was implemented to simulate aging failure and obtain the aging data. Moreover, the change of junction temperature was considered to regulate monitoring parameters. Then, the aging degree was evaluated by an artificial neural network (ANN) algorithm. The experimental results showed the effectiveness of the proposed method.


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