TY - GEN
T1 - Model-based Parameter Tuning of Semiconductor Devices in DC Power Cycling Test
AU - Zhang, Yichi
AU - Zhang, Yi
AU - Yao, Bo
AU - Wang, Huai
N1 - Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach.
PY - 2024/6
Y1 - 2024/6
N2 - Power cycling test serves as a widely employed accelerated test for semiconductor package reliability analysis, and has received considerable research attention in this area in the last few decades. Before the test is run formally, how to set test parameters to efficiently achieve the desired thermal stress is a crucial yet underreported aspect. The several attempts may be feasible but invariably result in a time-consuming process. To address this issue, this paper presents an approach based on the established thermal model, which quantifies the required thermal stresses, junction temperature fluctuation (∆Tj), and maximum junction temperature (Tjmax). Moreover, the adjustable parameters affecting two key thermal indicators are revealed. Then a flowchart for the parameter tuning is proposed. In addition, the model also can provide the thermal stress range of the tested module within the constraints of these adjustable parameters, which offers a valuable reference for implementing various testing conditions. Finally, the effectiveness of the method is validated through the experimental case study.
AB - Power cycling test serves as a widely employed accelerated test for semiconductor package reliability analysis, and has received considerable research attention in this area in the last few decades. Before the test is run formally, how to set test parameters to efficiently achieve the desired thermal stress is a crucial yet underreported aspect. The several attempts may be feasible but invariably result in a time-consuming process. To address this issue, this paper presents an approach based on the established thermal model, which quantifies the required thermal stresses, junction temperature fluctuation (∆Tj), and maximum junction temperature (Tjmax). Moreover, the adjustable parameters affecting two key thermal indicators are revealed. Then a flowchart for the parameter tuning is proposed. In addition, the model also can provide the thermal stress range of the tested module within the constraints of these adjustable parameters, which offers a valuable reference for implementing various testing conditions. Finally, the effectiveness of the method is validated through the experimental case study.
UR - https://www.scopus.com/pages/publications/85202066775
U2 - 10.30420/566262271
DO - 10.30420/566262271
M3 - Conference article published in proceeding or book
AN - SCOPUS:85202066775
T3 - PCIM Europe Conference Proceedings
SP - 1931
EP - 1936
BT - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2024
PB - Mesago PCIM GmbH
T2 - 2024 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2024
Y2 - 11 June 2024 through 13 June 2024
ER -