This paper proposes a method for accurate temperature estimation of thermally-aware power electronics systems. The duality between electrical systems and thermal systems was considered for thermal modeling. High dimensional thermal models present a challenge for online estimation. The complexity of the thermal network was reduced by applying a structure-preserving model order reduction technique. An optimal number of temperature sensors that increases the observability of the system was used in a Kalman filter to accurately estimate the dynamic spatial thermal behavior of the system.
|Original language||English (US)|
|Title of host publication||2017 American Control Conference, ACC 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||7|
|State||Published - Jun 29 2017|
|Event||2017 American Control Conference, ACC 2017 - Seattle, United States|
Duration: May 24 2017 → May 26 2017
|Name||Proceedings of the American Control Conference|
|Other||2017 American Control Conference, ACC 2017|
|Period||5/24/17 → 5/26/17|
Bibliographical noteFunding Information:
Research supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro Thermal Systems (POETS) with cooperative agreement EEC-1449548.
© 2017 American Automatic Control Council (AACC).