Print Email Facebook Twitter Prediction of Lumen Depreciation and Color Shift for Phosphor-Converted White Light-Emitting Diodes Based on A Spectral Power Distribution Analysis Method Title Prediction of Lumen Depreciation and Color Shift for Phosphor-Converted White Light-Emitting Diodes Based on A Spectral Power Distribution Analysis Method Author Qian, Cheng (Chinese Academy of Sciences; Changzhou Institute of Technology Research for Solid State Lighting) Fan, Jiajie (Hohai University; Beijing Research Center; Changzhou Institute of Technology Research for Solid State Lighting) Fan, Xuejun (Lamar University; Changzhou Institute of Technology Research for Solid State Lighting) Zhang, Kouchi (TU Delft Electronic Components, Technology and Materials; Chinese Academy of Sciences) Date 2017 Abstract The spectral power distribution (SPD) is considered as the figureprint of a light emitting diode (LED). Based on the analysis on its SPD, a method to predict both lumen depreciation and color shift for the phosphor converted white LEDs (pc-LEDs) is proposed in this paper. First, the entire SPD of a pc-LED is predicted by superimposing two asymmetric double sigmoidal (Asym2sig) models, which represent the decomposed blue light and phosphor converted light peaks, respectively. For a better understanding of how the SPD model affects the photometric and colorimetric characteristics of a pc-LED, a sensitivity study of the SPD parameters is then performed on its luminous flux Φ, color coordinates CIE1976( u′, v′). Second, the evolutionary process of the SPD is predicted for a pc-LED with the color temperature as 3000 K under degradation testing. And based on these predicted SPDs, the drift curves of Φ, u′, v′, and du′ v′are further predicted. Finally, lifetimes of the pc-LED due to lumen depreciation and color shift are estimated simultaneously from the predicted Φ and du′ v′ drift curves. Subject Light emitting diodesprediction methodssemiconductor device reliabilityspectral analysis To reference this document use: http://resolver.tudelft.nl/uuid:19823cdb-2603-485a-bc51-e9c8edfd9ceb DOI https://doi.org/10.1109/ACCESS.2017.2716354 ISSN 2169-3536 Source IEEE Access, 5, 24054-24061 Part of collection Institutional Repository Document type journal article Rights © 2017 Cheng Qian, Jiajie Fan, Xuejun Fan, Kouchi Zhang Files PDF 44933217_07950923.pdf 7.49 MB Close viewer /islandora/object/uuid:19823cdb-2603-485a-bc51-e9c8edfd9ceb/datastream/OBJ/view