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基于光电热理论和BP神经网络的LED阵列光功率计算方法 被引量:4

Calculation Method of LED Array Optical Power Based on Photoelectric Thermal Theory and BP Neural Network
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摘要 LED阵列光功率受热学、电学影响:LED芯片的光电热(PET)参数耦合,而且LED阵列中热耦合关系复杂,给大功率光源的结构设计带来困难。基于PET理论提出了一个光功率计算模型:首先根据LED芯片的工作机理,构建其电功率、结温、热功率之间的耦合关系;其次,将LED阵列的热耦合仿真结果,作为训练样本,获得输入为布局间距和热功率,输出为LED结温的BP神经网络;最后,将神经网络获得的结温作为PET方程的温度条件,计算LED阵列的光功率。为验证该模型的准确性,进行实验验证,最大误差为7.6%。该模型可分析LED阵列在不同布局参数及热沉温度下的最大光功率工作点,解决LED阵列布局及热沉结构的优化设计问题。 The optical power of the LED array was affected by thermology and electricity.The photo-electricthermal(PET)parameters of the LED chip were coupled,and the thermal coupling relationship in the LED array was complicated,which makes it difficult to design the structure of the high-power light source.This paper proposes an optical power calculation model based on PET theory.Firstly,according to the working mechanism of the LED chip,the coupling relationship between its electrical power,junction temperature and thermal power was constructed.Secondly,by using the thermal coupling simulation result of the LED array as the training sample of the BP neural network,we obtain a BP neural network with input as layout spacing and thermal power and output as LED junction temperature.Finally,the junction temperature obtained by ANN was used as the temperature condition of the PET equation to calculate the optical power of the LED array.In order to verify the accuracy of the model,the experimental verification was performed.The maximum error was 7.6%.This model can analyze the maximum optical power operating point of the LED array under different layout parameters and heat sink temperatures.The optimization design problem of the LED array layout and heat sink structure was solved.
作者 洪哲扬 薛凌云 钱依凡 Hong Zheyang;Xue Lingyun;Qian Yifan(School of Automation,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China)
出处 《激光与光电子学进展》 CSCD 北大核心 2022年第5期272-279,共8页 Laser & Optoelectronics Progress
基金 国家重大科研仪器研制资助项目(61427808)。
关键词 LED阵列 光电热理论 BP神经网络 光功率 LED array photo-electric-thermal theory BP neural network optical power
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