On-Line Junction Temperature Monitoring of Switching Devices with Dynamic Compact Thermal Models Extracted with Model Order Reduction
Fabio Di Napoli,
Alessandro Magnani,
Marino Coppola,
Pierluigi Guerriero,
Vincenzo D’Alessandro,
Lorenzo Codecasa,
Pietro Tricoli and
Santolo Daliento
Additional contact information
Fabio Di Napoli: Department of Electrical Engineering and Information Technology, University Federico II, via Claudio 21, 80125 Naples, Italy
Alessandro Magnani: Department of Electrical Engineering and Information Technology, University Federico II, via Claudio 21, 80125 Naples, Italy
Marino Coppola: Department of Electrical Engineering and Information Technology, University Federico II, via Claudio 21, 80125 Naples, Italy
Pierluigi Guerriero: Department of Electrical Engineering and Information Technology, University Federico II, via Claudio 21, 80125 Naples, Italy
Vincenzo D’Alessandro: Department of Electrical Engineering and Information Technology, University Federico II, via Claudio 21, 80125 Naples, Italy
Lorenzo Codecasa: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
Pietro Tricoli: School of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK
Santolo Daliento: Department of Electrical Engineering and Information Technology, University Federico II, via Claudio 21, 80125 Naples, Italy
Energies, 2017, vol. 10, issue 2, 1-14
Abstract:
Residual lifetime estimation has gained a key point among the techniques that improve the reliability and the efficiency of power converters. The main cause of failures are the junction temperature cycles exhibited by switching devices during their normal operation; therefore, reliable power converter lifetime estimation requires the knowledge of the junction temperature time profile. Since on-line dynamic temperature measurements are extremely difficult, in this work an innovative real-time monitoring strategy is proposed, which is capable of estimating the junction temperature profile from the measurement of the dissipated powers through an accurate and compact thermal model of the whole power module. The equations of this model can be easily implemented inside a FPGA, exploiting the control architecture already present in modern power converters. Experimental results on an IGBT power module demonstrate the reliability of the proposed method.
Keywords: real-time temperature estimation; Dynamic Compact Thermal Models (DCTMs); Model Order Reduction (MOR); converter failures (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: 2017
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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:2:p:189-:d:89741
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