Abstract
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) |
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| Title of host publication | 2017 American Control Conference, ACC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3463-3469 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781509059928 |
| DOIs | |
| State | Published - Jun 29 2017 |
| Externally published | Yes |
| Event | 2017 American Control Conference, ACC 2017 - Seattle, United States Duration: May 24 2017 → May 26 2017 |
Publication series
| Name | Proceedings of the American Control Conference |
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| ISSN (Print) | 0743-1619 |
Other
| Other | 2017 American Control Conference, ACC 2017 |
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| Country/Territory | United States |
| City | Seattle |
| Period | 5/24/17 → 5/26/17 |
Bibliographical note
Funding Information:Research supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro Thermal Systems (POETS) with cooperative agreement EEC-1449548.
Publisher Copyright:
© 2017 American Automatic Control Council (AACC).