Electrical–thermal–luminous–chromatic model of phosphor-converted white light-emitting diodes

Ye, Huaiyu; Koh, Sau; Yuan, Chong; Zeijl, Henk van; Gielen, A.W.J.; Lee, S. W. Ricky; Zhang, G.

doi:10.1016/j.applthermaleng.2013.11.058

Cited by 38 publications

(7 citation statements)

References 23 publications

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“…Each element of the matrix is the error computed at each of test conditions, and the error at the rated condition is taken to be zero. The average root mean squared error (RMSE) is determined using equation (15). The statistical calculations are done for all three models M1, M2 and M3 separately and are as shown in Table 8 Error The percentage error matrix is determined, and the maximum percentage error (%E) element of the matrix is identified and the range of percentage error along with the RMSE is shown in Table 8.…”

Section: Stagementioning

confidence: 99%

“…In addition, Gacio et al 14 tried to understand the effects of the junction temperature on the dynamic resistance of white LEDs. An electrical thermal luminous chromatic model was developed to predict the light performance with thermal management under in situ temperature for a phosphorconverted white LED by Ye et al 15 A novel two-step thermoelectric modelling for junction temperature prediction of LED lamps is performed in Tian et al 16 Overall, the study of heat dissipation based on the design and materials of the heat sink has been carried out.…”

Section: Introductionmentioning

confidence: 99%

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A generalised approach for the estimation of junction temperature and its effect on light output

Padmasali

Kini

2019

Lighting Research & Technology

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LED lighting is the most promising lighting technology of the current era because it is highly reliable and energy efficient. The reliability of an LED luminaire is dependent primarily on its junction temperature in operation. Since LED luminaire design differs across manufacturers, a generalised experimental procedure and simplified model is adapted to estimate the junction temperature of an LED luminaire. The results are analysed, and the model is validated with an experimental study on two different luminaires. Further, to analyse the effect of junction temperature on the light output, a novel model and methodology are adopted such that light output can be estimated for any operating temperature, if the light output at a reference temperature is known. Three models were selected to estimate the light output at different temperatures, and four different LEDs were selected for the experimental study. A linear model for the thermal multiplier is selected as the best model to estimate the light output at a desired temperature and is validated using statistical tools. Thus, this simple model and generalised experimental procedures will help in estimating the effect of junction temperature on the performance of LED luminaires.

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Section: Stagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A generalised approach for the estimation of junction temperature and its effect on light output

Padmasali

Kini

2019

Lighting Research & Technology

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“…The PET theory was combined with spectral power distribution (SPD) by them to predict the CCT and CRI [37]. Ye et al [38] proposed an electrical-thermal-luminous-chromatic model, combining the electrical-thermal model and the thermal-luminous-chromatic model, to predict the chromatic performance of WLED under certain operation temperatures. Fu et al [39] provided an empirical model based on the band gap transition scheme described by the Gaussian functions and experimentally verified the accuracy in prediction of chromatic characteristics for WLED.…”

Section: Introductionmentioning

confidence: 99%

Dynamic prediction of optical and chromatic performances for a light-emitting diode array based on a thermal-electrical-spectral model

Fan¹,

Chen²,

Yuan³

et al. 2020

Opt. Express

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Light-emitting diode (LED) arrays have attracted increased attention in the area of high power intelligent automotive headlamps because of their superiority in disposing of the power limit of an individual LED package and controllably luminous intensity and illumination pattern. The optical and chromatic performances of an LED array do not equal to the sum of individual LED packages' performances, as the thermal interactions between individual LED packages can't be ignored in the actual application. This paper presents a thermal-electrical-spectral (TES) model to dynamically predict the optical and chromatic performances of the LED array. The thermal-electrical (TE) model considering the thermal coupling effect in the LED array is firstly proposed to predict the case temperature of each individual LED package, and the Spectral power distributions (SPDs) of individual LED package is then decomposed by the extended Asym2sig model to extract the spectral characteristic parameters. Finally, the experimental measurements of the designed LED arrays operated under usage conditions are used to verify the TES model. Some validation case studies show that the prediction accuracy of the proposed TES model, which is expressed as a quadratic polynomial function of current and case temperature, can be achieved higher than 95%. Therefore, it can be concluded that this TES model offers a convenient method with high accuracy to dynamically predict the optical and chromatic performances of LED arrays at real usages.

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“…In the study of non-contact measurement of junction temperature of white LED, Tamura et al [15] discovered that the power of LED chip and phosphor decay with different rate as Tj increasing. Ye et al [16], [17] proved the functional relationship of Excitation efficiency and Tj, which could be used for Tj measurement. Hisashi et al [18] proposed a model that the ratio of yellow light energy to blue light energy (Y/B) was related to the Tj of white LED.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Junction Temperature Variation of LED on the Lifetime Estimation During Accelerated Aging Test

et al. 2019

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In this paper, seven LED lamps are selected to investigate how the junction temperature (Tj) of LED varies during the step-stress temperature accelerated aging test. The ambient temperatures are 80 • C and 70 • C for the first and second step of the aging test, respectively, and the total aging time is 2180 h. A non-contact method for monitoring junction temperatures of samples, by the ratio of white light energy to blue light energy (W/B), is applied. Experimental measurements show that the W/B ratio and Tj satisfy good linear relationship during the aging for all samples. Then, the junction temperatures are acquired at eight typical points of aging time which are used to eliminate the impact of Tj variation on the estimation of the decay rate and accelerated lifetime. It is shown that the estimated lifetime is longer than that acquired by the traditional method. The estimation errors of the accelerated lifetimes by the traditional method are in a range from 12.8% to 18.6% under the aging temperature of 80 • C and from 12.5% to 20.3% under the aging temperature of 70 • C for the seven samples. The estimation accuracy of the decay rates and accelerated lifetimes of LED lamps in the step-stress accelerated aging test is improved by the proposed methodology to a certain extent. INDEX TERMS Life testing, lifetime estimate, light emitting diodes.

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Electrical–thermal–luminous–chromatic model of phosphor-converted white light-emitting diodes

Cited by 38 publications

References 23 publications

A generalised approach for the estimation of junction temperature and its effect on light output

A generalised approach for the estimation of junction temperature and its effect on light output

Dynamic prediction of optical and chromatic performances for a light-emitting diode array based on a thermal-electrical-spectral model

The Influence of Junction Temperature Variation of LED on the Lifetime Estimation During Accelerated Aging Test

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