Expectation-Maximization Algorithm for Identification of Mesh-Based Compartment Thermal Model of Power Modules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F24%3A43969267" target="_blank" >RIV/49777513:23220/24:43969267 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23520/24:43969267
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/01457632.2023.2241174" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/01457632.2023.2241174</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/01457632.2023.2241174" target="_blank" >10.1080/01457632.2023.2241174</a>
Alternative languages
Result language
angličtina
Original language name
Expectation-Maximization Algorithm for Identification of Mesh-Based Compartment Thermal Model of Power Modules
Original language description
Accurate prediction of temperatures in power modules is crucial for proper thermal management. Lumped parameter thermal models are preferred in this application for their low computational cost. The estimation procedure of the parameters of these models requires measurements of temperatures of all active elements. This requirement is relaxed in this contribution. Specifically, the previously used dark gray-box compartment model is replaced by a structured compartment model utilizing a mesh-based discretization of the physical layout of the module. Compartments are categorized into several types with common parameters for each type. The parameters are identified from the data of the measured elements using the Expectation-Maximization algorithm. The algorithm internally predicts the temperatures of the unmeasured elements. The sensitivity of the estimation to regularization of the process covariance matrix is also studied. The implied high-dimensionality of the state-space increases the computational cost of the conventional estimation procedure, therefore, a simplified procedure with a much lower computation cost is proposed. The performance of the proposed approach is tested on simulated data.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Heat Transfer Engineering
ISSN
0145-7632
e-ISSN
1521-0537
Volume of the periodical
45
Issue of the periodical within the volume
12-13
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1055-1069
UT code for WoS article
001058228800001
EID of the result in the Scopus database
2-s2.0-85169816275