2018 IEEE Applied Power Electronics Conference and Exposition (APEC) 2018
DOI: 10.1109/apec.2018.8341428
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Finite element model optimization and thermal network parameter extraction of press-pack IGBT

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Cited by 11 publications
(3 citation statements)
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“…It is found in [20] that even cyclic junction temperature variations with low amplitude during normal operation may contribute to the aging process of a power module, even if it does not directly initiate a crack, which means that the stress concentration may have an impact on the thermal impedance changes. A multi-input and multi-output thermal network model of a press-pack IGBT device is established in [21] to simplify the calculation of some model parameters, but only the thermal coupling effect between chips is taken into account. To conclude, although various efforts have been made to calculate the junction temperature of the IGBT module and the converter system, there is still room for research in the improved junction temperature estimation method based on a multi-layer coupled thermal impedance model considering the device-level and module-level thermal coupling effects.…”
Section: B Existing Temperature Monitoring Methodsmentioning
confidence: 99%
“…It is found in [20] that even cyclic junction temperature variations with low amplitude during normal operation may contribute to the aging process of a power module, even if it does not directly initiate a crack, which means that the stress concentration may have an impact on the thermal impedance changes. A multi-input and multi-output thermal network model of a press-pack IGBT device is established in [21] to simplify the calculation of some model parameters, but only the thermal coupling effect between chips is taken into account. To conclude, although various efforts have been made to calculate the junction temperature of the IGBT module and the converter system, there is still room for research in the improved junction temperature estimation method based on a multi-layer coupled thermal impedance model considering the device-level and module-level thermal coupling effects.…”
Section: B Existing Temperature Monitoring Methodsmentioning
confidence: 99%
“…, n) can be calculated based on the equal sublayer energy Q 1 (0) . The thermal network parameters are obtained from Equations ( 13) and (14). Then, the temperature distribution T(x,t) is obtained from the thermal network model.…”
Section: Chip Vertical Path Thermal Network Modelmentioning
confidence: 99%
“…In [13], by building a two-dimensional TCAD finite element model of a field-stop IGBT chip, the effect of the peak electric field on the temperature distribution inside the chip was shown. In [5,14], the heat source in the active area of the finite element model was divided into surface heat source and body heat source according to the on-state voltage drop distribution of the IGBT chip, and it concluded that the loading of the distributed heat source can predict the chip junction temperature more accurately; Reference [15] performed the IGBT module longitudinal cut to obtain the cross temperature distribution of the seven-layer structure of the module, but there were only two monitoring points along the chip vertical path, and the temperature distribution during the switching transient could not be obtained due to the limitation of the sampling frequency of the thermal imager.…”
Section: Introductionmentioning
confidence: 99%