Reduced order thermal models for electronic devices

In this paper, a novel method to determine from experimental observations the thermal models of integrated devices is presented. In particular, we focus on experimental data providing the temperature distribution over the device surface and determine a model in which the spatial diffusion of heat loads is explicitly taken into account and modeled. The adoption of this approach leads to the possibility to sensibly reduce the order of complete thermal model, with respect to classical approaches, even considering numerically generated datasets.

[1]  Z. Khatir,et al.  Experimental validation of a thermal modelling method dedicated to multichip power modules in operating conditions , 2003, Microelectron. J..

[2]  Computationally Efficient Integration of Complex Thernal Multi-Chip Power Module Models into Circuit Simulators , 2007, 2007 Power Conversion Conference - Nagoya.

[3]  Nabeel A. O. Demerdash,et al.  On Shortening the Numerical Transient in Time-Stepping Finite Element Analysis of Induction Motors: Method Implementation , 2019, 2019 IEEE International Electric Machines & Drives Conference (IEMDC).

[4]  Andrew J. Forsyth,et al.  Rapid Thermal Analysis of Nanocrystalline Inductors for Converter Optimization , 2020, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[5]  Ping Liu,et al.  Online Junction Temperature Estimation Method for SiC Modules With Built-in NTC Sensor , 2019, CPSS Transactions on Power Electronics and Applications.

[6]  S. Waffler,et al.  Performance trends and limitations of power electronic systems , 2010, 2010 6th International Conference on Integrated Power Electronics Systems.

[7]  Luigi Fortuna,et al.  Temperature Model Identification of FTU Liquid Lithium Limiter , 2018, IEEE Transactions on Control Systems Technology.

[8]  Luigi Fortuna,et al.  Lumped Parameter Modeling for Thermal Characterization of High-Power Modules , 2014, IEEE Transactions on Components, Packaging and Manufacturing Technology.