Optimization-Based Network Identification for Thermal Transient Measurements

Nils J. Ziegeler, Peter W. Nolte and Stefan Schweizer
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Nils J. Ziegeler: Faculty of Electrical Engineering, South Westphalia University of Applied Sciences, 59494 Soest, Germany
Peter W. Nolte: Fraunhofer Application Center for Inorganic Phosphors, Branch Lab of Fraunhofer Institute for Microstructure of Materials IMWS, 59494 Soest, Germany
Stefan Schweizer: Faculty of Electrical Engineering, South Westphalia University of Applied Sciences, 59494 Soest, Germany

Energies, 2021, vol. 14, issue 22, 1-14

Abstract: Network identification by deconvolution is a proven method for determining the thermal structure function of a given device. The method allows to derive the thermal capacitances as well as the resistances of a one-dimensional thermal path from the thermal step response of the device. However, the results of this method are significantly affected by noise in the measured data, which is unavoidable to a certain extent. In this paper, a post-processing procedure for network identification from thermal transient measurements is presented. This so-called optimization-based network identification provides a much more accurate and robust result compared to approaches using Fourier or Bayesian deconvolution in combination with Foster-to-Cauer transformation. The thermal structure function obtained from network identification by deconvolution is improved by repeatedly solving the inverse problem in a multi-dimensional optimization process. The result is a non-diverging thermal structure function, which agrees well with the measured thermal impedance. In addition, the associated time constant spectrum can be calculated very accurately. This work shows the potential of inverse optimization approaches for network identification.

Keywords: compact thermal models; thermal impedance; transient thermal measurement; time constant spectrum; thermal structure function; network identification by deconvolution (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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