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Construction of Hybrid Thermal Network Model and Estimation Method for Its Junction Temperature
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Zhaoping WANG1, Jinlei XIN2, Mingxing DU1
Journal of Power Supply | 2024, 22(3) : 30 - 37
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Journal of Power Supply | 2024, 22(3): 30-37
Power Device Modeling
Construction of Hybrid Thermal Network Model and Estimation Method for Its Junction Temperature
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Zhaoping WANG1, Jinlei XIN2, Mingxing DU1
Affiliations
  • 1 Tianjin Key Laboratory of New Energy Power Conversion, Transmission and Intelligent Control Tianjin 300384 China
  • 2 Chengdong Power Supply Branch, State Grid Tianjin Electric Power Company Tianjin 300250 China
Published: 2024-05-30 doi: 10.13234/j.issn.2095-2805.2024.3.30
Outline
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With the widespread applications of insulated gate bipolar transistors (IGBTs) in power electronic systems, the accurate acquisition of junction temperature which affects their reliability has become crucial. However, one of the main forms of module failure is the aging of the solder layer, which can have a significant impact on the junction temperature. To accurately estimate the junction temperature, the advantages of two traditional thermal network models (i.e., Cauer and Foster) are combined in this paper, and an interface method for the two models is studied, so that the combination is completed. The aging of the chip solder layer is taken into account, and a hybrid thermal network model is proposed. Finally, through the comparison of finite element simulation and experimental test with the calculation results of the hybrid thermal network model, it is verified that the hybrid thermal network model can achieve an accurate junction temperature estimation, providing a basis for monitoring the operating status of the module.

Insulated gate bipolar transistor(IGBT) module  /  hybrid thermal network model  /  junction temperature estimation
Zhaoping WANG, Jinlei XIN, Mingxing DU. Construction of Hybrid Thermal Network Model and Estimation Method for Its Junction Temperature[J]. Journal of Power Supply, 2024 , 22 (3) : 30 -37 . DOI: 10.13234/j.issn.2095-2805.2024.3.30
Year 2024 volume 22 Issue 3
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.3.30
  • Receive Date:2024-01-10
  • Online Date:2025-07-21
  • Published:2024-05-30
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History
  • Received:2024-01-10
  • Revised:2024-03-03
  • Accepted:2024-03-05
Affiliations
    1 Tianjin Key Laboratory of New Energy Power Conversion, Transmission and Intelligent Control Tianjin 300384 China
    2 Chengdong Power Supply Branch, State Grid Tianjin Electric Power Company Tianjin 300250 China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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