2022
DOI: 10.1109/jestpe.2021.3063305
|View full text |Cite
|
Sign up to set email alerts
|

Reviewing Thermal-Monitoring Techniques for Smart Power Modules

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 46 publications
(12 citation statements)
references
References 105 publications
0
12
0
Order By: Relevance
“…A digital twin consists of three main parts: a real-time simulation of the physical system or a part of it in the virtual domain, measurements of the physical system, and an optimization algorithm adjusting the virtual model parameters for an optimal representation of the physical system by the virtual model. This definition fits also for what is known as adaptive thermal observer [1]. This approach gives an optimized representation of the real thermal behavior by the model in the estimator part of the observer.…”
Section: Reliability-driven Control For Power System Applications: Dy...mentioning
confidence: 95%
See 2 more Smart Citations
“…A digital twin consists of three main parts: a real-time simulation of the physical system or a part of it in the virtual domain, measurements of the physical system, and an optimization algorithm adjusting the virtual model parameters for an optimal representation of the physical system by the virtual model. This definition fits also for what is known as adaptive thermal observer [1]. This approach gives an optimized representation of the real thermal behavior by the model in the estimator part of the observer.…”
Section: Reliability-driven Control For Power System Applications: Dy...mentioning
confidence: 95%
“…power losses estimation [11]) will effectively eliminate this error, correcting model deviations, and therefore enhancing the estimated temperatures over the thermal network. Thermal observers are mainly used in two scenarios: For monitoring thermal state variables, and for adaptive parameter estimation, which are key enablers for degradation monitoring and state of health estimation [1]. Additional features can be highlighted about thermal observers, such as their capability of estimating temperature with zero phase-lag, or the noise suppression present in Kalman-filter implementations.…”
Section: Optical Sensing For Enhanced Thermalmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, it is crucial to select appropriate technology to mitigate the limitations imposed by equipment requirements and operating conditions. There have been several reviews covering general temperature measurement techniques [28], semiconductor temperature measurement [29,30], and various electronic modules [31][32][33][34]. Numerous methods have been proposed for detecting the thermal characteristics of LEDs, with existing junction temperature measurement methods primarily focused on identifying temperature-sensitive parameters (TSPs), including temperature-sensitive electrical parameters (TSEPs) and temperature-sensitive optical parameters (TSOPs) [35][36][37][38][39].…”
Section: Introductionmentioning
confidence: 99%
“…There have been some reviews that presented general temperature measurement techniques [ 53 ], temperature measurement of semiconductors [ 54 , 55 ], and various electronic modules [ 56 , 57 , 58 , 59 ]. However, to the best of our knowledge, an extensive review that focuses explicitly on experimental T j measurement of LEDs has yet to be completed.…”
Section: Introductionmentioning
confidence: 99%