@inproceedings{90887f2ea09040218bd2e9db453ce1e1,
title = "Dynamic temperature estimation of power electronics systems",
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.",
author = "Tannous, {Pamela J.} and Peddada, {Satya R.T.} and Allison, {James T.} and Thomas Foulkes and Pilawa-Podgurski, {Robert C.N.} and Alleyne, {Andrew G.}",
note = "Publisher Copyright: {\textcopyright} 2017 American Automatic Control Council (AACC).; 2017 American Control Conference, ACC 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jun,
day = "29",
doi = "10.23919/ACC.2017.7963482",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3463--3469",
booktitle = "2017 American Control Conference, ACC 2017",
address = "United States",
}