基于中视觉的亮度可调白光LED光谱优化

Spectral Optimization of White LED with Brightness Adjustable Based on Mesopic Vision

已有用蓝光发光二极管(LED)激发绿橙双色荧光粉的荧光粉涂覆型白光LED的中视觉发光效率最大化光谱优化问题,目标函数为最大化多个亮度水平下的平均中视觉发光效率,该优化模型是对相关色温(CCT)进行离散穷举,仅能获得固定色温下不同亮度水平的平均中视觉发光效率最大值。为了在不同亮度水平下获得最大中视觉发光效率,提出了一种目标函数简单的非线性约束优化模型,同时将CCT作为在一定范围内变化的优化参数。实验结果表明,该模型可以在满足显色指数、色彩保真度和给定中视觉亮度水平的要求下,获得最优的LED光谱,真正实现在指定亮度水平下中视觉发光效率最大化的目的。

A spectrum optimization problem of maximizing the mesopic visual luminous efficiency of phosphorcoated white lightemitting diodes(LED)by exciting green and orange phosphors with a blue LED.The objective function is to maximize the average mesopic visual luminous efficiency at multiple brightness levels.The optimization model for correlated color temperature(CCT)is discrete and exhaustive,and it can only maximize the average mesopic visual luminous efficiency for varied brightness levels under a constant color temperature.A nonlinear constrained optimization model with a simple objective function is suggested in this study to attain the maximum mesopic visual luminous efficiency at varied brightness levels,and the CCT is considered an optimization parameter varying in a specific range.The experimental results show that the model can obtain the optimal LED spectrum,while meeting the requirements of color rendering index,color fidelity,and a given mesopic visual brightness level,and that it truly achieves the purpose of maximizing the medium visual luminous efficiency under the specified brightness level.