AI Article Synopsis

  • LEDs are gaining popularity for general lighting due to higher efficiency and innovative design possibilities offered by remote phosphor technology, unlike traditional configurations where phosphors are directly on the LED die.
  • The study focuses on characterizing a remote phosphor converter (RPC) using a bi-directional scattering distribution function (BSDF) and measuring how blue light interacts with the RPC for better performance optimization.
  • An iterative model was developed to predict the power and light distribution of the remote phosphor system, showing successful alignment with experimental data, thus validating its accuracy in assessing system efficiency with minimal errors.

Article Abstract

Light-emitting diodes (LEDs) are becoming increasingly important for general lighting applications. The remote phosphor technology, with the phosphor located at a distance from the LEDs, offers an increased extraction efficiency for phosphor converted LEDs compared to intimate phosphor LEDs where the phosphor is placed directly on the die. Additionally, the former offers new design possibilities that are not possible with the latter. In order to further improve the system efficiency of remote phosphor LEDs, realistic simulation models are required to optimize the actual performance. In this work, a complete characterization of a remote phosphor converter (RPC) consisting of a polycarbonate diffuser plate with a phosphor coating on one side via the bi-directional scattering distribution function (BSDF) is performed. Additionally, the bi-spectral BSDF which embraces the wavelength conversion resulting from the interaction of blue light with the RPC is determined. An iterative model to predict the remote phosphor module power and photon budget, including the recuperation of backward scattered light by a mixing chamber, is introduced. The input parameters for the model are the bi-spectral BSDF data for the RPC, the emission of the blue LEDs and the mixing chamber efficiency of the LED module. A good agreement between experimental and simulated results was found, demonstrating the potential of this model to analyze the system efficiency with errors smaller than 4%.

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http://dx.doi.org/10.1364/OE.22.0A1079DOI Listing

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