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Junction Temperature Prediction for LED Luminaires Based on a Subsystem-Separated Thermal Modeling Method

Journal Article (2019)
Author(s)

Miao Cai (Guilin University of Electronic Technology)

Zhi Liang (Guilin University of Electronic Technology)

Kun Miao Tian (Guilin University of Electronic Technology)

Ming Hui Yun (Guilin University of Electronic Technology)

Ping Zhang (Guilin University of Electronic Technology)

Daoguo Yang (Guilin University of Electronic Technology)

Guo Qi Zhang (Guilin University of Electronic Technology, TU Delft - Electronic Components, Technology and Materials)

Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.1109/ACCESS.2019.2936924
More Info
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Publication Year
2019
Language
English
Research Group
Electronic Components, Technology and Materials
Volume number
7
Pages (from-to)
119755-119764
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Abstract

The junction temperature (Tj) of LEDs in an LED luminaire is useful for projecting the luminous flux maintenance or lifetime of luminaires. Normally, a LED luminaire has a unique and complex geometric outline, and its LED package size is only a few millimeters. The thermal modeling procedure with one luminaire model is complex. Achieving a precise Tj of luminaires quickly in modeling is still a great challenge. In this work, aiming at providing a simple modeling method to predict a precise luminaire Tj, a subsystem-separated thermal modeling method for luminaires is proposed by following the existing form of multi-domain modeling. The detailed package model is linked with the luminaire model, while the average temperature at the bottom surface of the LED package is associated with an assumed equivalent convective heat transfer coefficient (ECHTC) at the package model. An adequately assumed ECHTC is obtained, while a unique average temperature is achieved from the luminaire model. Results show that a precise luminaire Tj is projected rapidly by modeling the package model with the adequate ECHTC and a proposed power law equation. The proposed modeling method not only provides a precise Tj prediction with a small error but also effectively simplifies the modeling of LED luminaires.