Expectation-Maximization Algorithm for Identification of Mesh-Based Compartment Thermal Model of Power Modules
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/49777513:23520/24:43969267
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Expectation-Maximization Algorithm for Identification of Mesh-Based Compartment Thermal Model of Power Modules
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Expectation-Maximization Algorithm for Identification of Mesh-Based Compartment Thermal Model of Power Modules
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Elektrotechnické technologie s vysokým podílem vestavěné inteligence</a><br>
Návaznosti
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
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Heat Transfer Engineering
ISSN
0145-7632
e-ISSN
1521-0537
Svazek periodika
45
Číslo periodika v rámci svazku
12-13
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
15
Strana od-do
1055-1069
Kód UT WoS článku
001058228800001
EID výsledku v databázi Scopus
2-s2.0-85169816275