Least Squares Method for Identification of IGBT Thermal Impedance Networks Using Direct Temperature Measurements

Humphrey Mokom Njawah Achiri, Vaclav Smidl, Zdenek Peroutka and Lubos Streit
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Humphrey Mokom Njawah Achiri: Regional Innovation Centre for Electrical Engineering, University of West Bohemia, 301 00 Plzeň 3, Czech Republic
Vaclav Smidl: Regional Innovation Centre for Electrical Engineering, University of West Bohemia, 301 00 Plzeň 3, Czech Republic
Zdenek Peroutka: Regional Innovation Centre for Electrical Engineering, University of West Bohemia, 301 00 Plzeň 3, Czech Republic
Lubos Streit: Regional Innovation Centre for Electrical Engineering, University of West Bohemia, 301 00 Plzeň 3, Czech Republic

Energies, 2020, vol. 13, issue 14, 1-13

Abstract: State-of-the-art methods for determining thermal impedance networks for IGBT (Insulated Gate Bipolar Transistor) modules usually involves the establishment of the relationship between the measured transistor or diode voltage and temperature under homogenous temperature distribution across the IGBT module. The junction temperature is recomputed from the established voltage–temperature relationship and used in determining the thermal impedance network. This method requires accurate measurement of voltage drop across the transistors and diodes under specific designed heating and cooling profiles. Validation of the junction temperature is usually done using infrared camera or sensors placed close to the transistors or diodes (in some cases and open IGBT module) so that the measured temperature is as close to the junction as possible. In this paper, we propose an alternative method for determining the IGBT thermal impedance network using the principles of least squares. This method uses measured temperatures for defined heating and cooling cycles under different cooling conditions to determine the thermal impedance network. The results from the proposed method are compared with those obtained using state-of-the-art methods.

Keywords: thermal impedance; junction temperature; foster network; Cauer network; least squares (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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