High-Power LED Photoelectrothermal Analysis Based on Backpropagation Artificial Neural Networks

被引:18
|
作者
Liu, Hongwei [1 ,2 ]
Guo, Kai [1 ,2 ]
Zhang, Zanyun [1 ,3 ]
Yu, Dandan [1 ]
Zhang, Jianxin [1 ,3 ]
Ning, Pingfan [1 ,3 ]
Cheng, Junchao [1 ,2 ]
Li, Xiaoyun [1 ,2 ]
Niu, Pingjuan [1 ,3 ]
机构
[1] Tianjin Polytech Univ, Sch Elect & Informat Engn, Tianjin 300387, Peoples R China
[2] Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin 300387, Peoples R China
[3] Tianjin Key Lab Adv Elect Engn & Energy Technol, Tianjin 300387, Peoples R China
关键词
Backpropagation (BP) artificial neural network (ANN); finite-element method (FEM); light-emitting diode (LED); photoelectron-thermal (PET) couple; thermal management; MODEL;
D O I
10.1109/TED.2017.2701346
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As an electroluminescent device, the coupling relationship between light-emitting diode (LED) input currents, optical power, and LED junction temperature is a complicated multiphysics process. In this paper, a simplified LED photoelectron-thermal (PET) model by artificial neural network (ANN), which can translate multiphysics field issue into a single physics field problem, is mentioned to study the coupling relationship. In the first, an LED lumens, optical power, and electric power at different temperatures are monitored in a temperature controlling integrating sphere. Then, a backpropagation (BP) ANN is trained by these data to construct an LED Photo-Electron-Thermal (PET) relationship. In addition, LED luminaire thermal analyzing is performed using a finite-element method on the outputs of the BP ANN. Finally, the advantage of this method in terms of saving computing resources and computing time is analyzed by comparing the degrees of freedom in different models. The result shows that at least 6.7 times computing resource are saved by this method, which will reduce the LED thermal management system analyzing time greatly. Finally, the application and extension of this model are discussed.
引用
收藏
页码:2867 / 2873
页数:7
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