A methodology for performance evaluation of LEDs based on ac small signal analysis

Colegiado de Engenharia Elétrica, Universidade Federal do Vale do São Francisco (UNIVASF), 56305-971, Petrolina, PE, Brazil; E-mail: [e-mail]

ABSTRACT

This paper shows fundamentals and results that support a promising methodology for evaluation in locus of a LED from its own radiating signal, and that allows monitoring of its aging by remote inference on which degradation mechanism is acting internally to the device's structure. It brings out also an alternative route for estimation of parameters of the Shockley's equation directly from small-signal ac analysis in a simple bench circuit. This last approach is shown to be effective and advantageous relatively to methods which take near a hundred points to achieve good estimations, while it uses only two points of the I-V static characteristic. Both approaches __ referred to as remote inference method (RIM) and two-points method (TPM) __ are applied together to show that external quantum efficiency (EQE) can be closely correlated to the injection process assumed to take place in that emitting device, meanwhile overvalued serial resistances due to neutral layers and ohmic contacts in electrodes affect only its electrical performance.

Index Terms: curves I-V, diode, LED, Shockley equation

I. INTRODUCTION

Static I-V plots use to be analyzed to quality evaluation of diodes or parameterization of their electrical behavior in terms of charge-carrier transport and injection phenomenology, according to the theoretical model adopted a priori. When real diodes are assumed to follow the Shockley's formalism __ i.e, their current are due to either diffusion of minority carriers (p-n barrier junction) or thermionic emission of majority carriers (Schottky barrier junction) [1] __ deviations from the ideal exponential dependence of current on voltage predicted by theory are "saw" by means of an ideality factor (n). Even for complex last generation LEDs evaluating the n is still a practical use for quality control [2]. Such parameter exhibit values, for example, lying in the range 1<n<2 when a competition between the ideal carrier drift-diffusion process (with n=1) and some generation-recombination process (as the known Sah-Noyce-Shockley's or Shockley-Read-Hall's, for which n=2) takes place into the LED [3].

In his paper from late 80's Werner [4] proposed three approaches to treat I-V data graphically, one of them being cited latter [5]-[8] as a referential methodology for efficient estimation of parameters of the Shockley equation, when applied for analysis of data from p-n junction and Schottky barrier diodes. For evaluating solar cells and Schottky diodes he applied the well known concepts of differential resistance and differential conductance all through their curves I-V, and dealt with data directly in relationships (which can be easily demonstrated from Shockley equation [4]) by fitting selected regions in graphs. Discussions on reliability and precision of estimations for methodologies like that are surrounded by limitations imposed by internal serial resistance (R_S) [6]-[8]. Devices of special interest like organic LEDs (OLEDs), for example, that have recently increased their importance in display technology, actually exhibit typical values for R_S much higher than their counterpart crystalline inorganic rivals [9]. That parameter arises in Shockley's formulation because injection of carriers, either through p-n or Schottky barriers, both are limited by rates the carriers arrive the junction neighborhood. Therefore, prior to their injection and radiative interaction electrons and holes are transported in the LED's structure from electrodes towards its optically active junction or layer. Transport layers play a fundamental role not only in light-emission efficiency, but also in the overall device's electrical performance because they are also responsible for both undesirable effects of additional voltage drops and ohmic power dissipation.

Special attention is paid to R_S in many approaches due to the suggested sequences of estimation that often start by this parameter. The reason is because the knowledge of its value prior to the others allows the distortion caused by R_S in the I-V data to be compensated in the semi-logarithmic scale [4].

In this work a common IR LED (the photo-emitter, PE), available in market elsewhere, is optically coupled to a photo-detector (PD) whose spectrum matches perfectly to the first. The hypotheses which justify the key-idea of monitoring internal processes taking place at the PE by means of analysis of the electrical signals photo-induced in the PD are promptly explained. An innovative methodology for evaluation of two of the key parameters in the Shockley equation (n and R_S) is presented where only a simple circuit, a two channel oscilloscope and a sinusoidal waveform generator are necessary in the experimental setup. We start by showing the theoretical fundamentals supporting the method which is based on small-signal regime operation of the LED. Procedures for characterization of a given LED are described in detail and algebraic relationships are deduced to be used for estimations from wave-forms acquired under controlled conditions. Simultaneously the experimental setup is presented for biasing and excitation of that device as well as for sensing its radiant signal. Then details of the methodology are described along with the characterization of one sampling device for sake of exemplification. Estimations for parameters n and R_S by means of the referential Werner's method are driven from data which were acquired previously and values are compared. Finally, preliminary results are discussed as well as perspectives and obstacles to be overcome to achieve a better performance of this novel methodology.

II. THEORETICAL FUNDAMENTS

The Shockley equation (1), which expresses the behavior I-V either for diodes of p-n junction type or Schottky junction type [1], and that can be used also for modeling optoelectronic devices like solar cells [4] and OLEDs [10]-[11], expresses the main current component as

In (1) I₀ is the reverse current, R_S is the serial resistance (due to ohmic contacts at electrodes and to non-null resistivity of neutral layers), n is the ideality factor and kT/e ~ 0,026 V at 300 K. The ideality factor n is introduced to fit theoretical curves to experimental data with values greater then unit due to co-existing injection processes taking place together with the main injection process in each kind of diode [1]. Parameters in (1) are meaningful of what internal charge injection and transportation processes take place through the structures. So their estimations from analysis of the characteristic behavior I-V bring fundamental information relatively to those phenomena.

A. Experimental setup

Nothing more than the simple circuits shown in Fig.1a-b are necessary to characterization of the sampling device under test (DUT). They are composed by one voltage supply (V_CC) to bias the PD, and one ac voltage signal source (V_s), with internally adjustable dc off-set voltage, which is used to bias and simultaneously to excite the DUT properly. That device should operate under "small-signal" regime [12] with fixed frequency at a quiescent voltage beyond its forward conductive threshold. Like described elsewhere when a specific DUT is put to work under such conditions its behavior can be analyzed according to its equivalent linear model [12], whose parameters are promptly expressed from the dc and ac analyses of the circuit. Figure 1a shows the setup for acquisition of the waveforms arising as result of the electric sinusoidal excitation in the circuit of the PE; while Fig.1b shows how the resulting sinusoidal radiant signal is monitored (i.e, how the optic sinusoidal excitation of the PD is used by means of that circuit to get the information transported by the radiant signal).

Proceeding with a typical dc circuit analysis in Fig.1a one easily achieves the expression to estimating the DUT's threshold voltage:

where V_os is the off-set voltage level of the source, r_d is the DUT's dynamic resistance [4,12] and I_D is the quiescent value of current (bias current or off-set current). On the other hand, ac analysis leads to

allowing the dynamic resistance to be estimated in the quiescent point directly from readings of signal waveforms acquired with aid of an oscilloscope (in Chanel A: voltage signal across the DUT, v_a; in Chanel B: current signal through the DUT, v_b/R₁, with dephasing of 180° relatively to the source).

Since the off-set voltage will be defined as a function of the point of quiescent operation Q(I_D, V_D) on the I-V curve, according to

this expression is inserted to (2) together with (3) for allowing one to estimate also V_D0 directly from readings at oscilloscope screen,

In (5), which can obviously be deduced from DUT's equivalent linear model [12], V_A and V_B are the dc voltage levels acquired also by means of channels A and B of that instrument, respectively.

Now looking at the circuit in Fig.1b, where the PD is optically coupled to the DUT along with its electrical characterization as described before, the photo-generated current exhibits both a dc level (I_R) and an ac signal (i_r), with the same frequency as the source at the left-hand side circuit (Fig.1a).

B. The Remote Inference Method - RIM

Components I_R and i_r keep straight correlations with the DUT's EQE and dynamic resistance (r_d), respectively, since the responsivity of the PD stay stable. Because of the bias current (I_D) stability the level of optical intensity may translate LED's EQE, meanwhile at the operating point, due to the dependence on r_d of the amplitude of its exciting signal (i_d), the correspondent amplitude of the optical intensity signal is limited proportionally. In other words, excursions allowed by DUT's structure to its proper current signal i_d (see Fig.1a-b) makes its optical emission excursions limited as well, giving an amplitude to the photo-generated current i_r in the PD which depends on r_d in the PE.

For a given setup with fixed geometry including the coupled pair PE/PD the ratio between the photo-induced and the exciting currents (R) can be defined such that

Proceeding with the dc and ac analyses of circuits in Fig.1b one achieves, respectively,

that can also be monitored by means of the bench oscilloscope.

The ratio R could be estimated a priori from (7a or 7b) along with aging of the PE (DUT) giving a "measure" of its EQE, since PD is supposed to maintain its responsivity [13] for a much longer time. However, for engineering application purposes it is the level V_R and the signal v_r that have to be monitored along with life-time of LEDs, since (7a) shows an explicit linear dependence on R (i.e, on EQE of the DUT), while (7b) "brings" also the amplitude of the exciting signal i_d (i.e, the information on r_d) to the PD by means of v_b/R₁.

C. The Two Points Method - TPM

When the ac (small-signal) analysis and the Shockley equation are brought together an innovative way to estimate the aimed parameter R_S in (1) is revealed. Taking hand of the dynamic conductance definition (inverse of dynamic resistance [4,12]), an expression arises from (1),

showing that R_S can be estimated from establishment of an adequate bias point to the DUT,

Now, combining (9) and (3) and checking the bias current by means of the dc voltage on R₁, the knowledge a priori of the diode's ideality allows one to estimate R_S again from readings at the bench instrument, taking hand of

To conclude the methodology description we suggest n to be estimated by application of (9) in a following step, when the same procedure is run in a second bias point on the LED's I-V characteristic.

From the hypothesis that r_d, n and R_S are all independent on each other, as well as the last two parameters are independent on the bias voltage, we get

such that

Here it is worthy to remember the dynamic resistances at both operating points can be expressed according to (3), while quiescent currents can be measured directly from both dc voltages on each step across R₁. Expression (12) can be put into the format

such that the DUT's ideality factor is estimated from readings at oscilloscope at each moment.

Now it is pointed out that procedures could be quite simplified whether the choice for such a second bias point was criteriously close to the threshold voltage V_D0. Taking hand of (3) again, (13) could be written as

and the ideality factor could be measured directly from circuit in the second bias point at once.

III. PROCEDURES

The kernel of the proposed methodology is to characterize a given LED primarily under its equivalent linear model for small-signals (available elsewhere [12]), by estimating r_d and V_D0 always in the same bias current I_D. Such estimations are obtained by means of (3) and (5) directly from readings at oscilloscope screen. Immediately after the "linear characterization" of that DUT, still taking hand of direct readings in that same bench instrument, two of the parameters in the nonlinear model expressed by (1) are estimated, n and R_S, in this order, by means of (13) and (10). It is preferable choosing two bias points from which to acquire the waveforms in (13) as suggested before, instead of estimating n by means of (14) from the second bias point only (due to practical reasons to be discussed later). The third parameter (I₀) __ whose value could be estimated from plotting the graph i_Dvs ln(v_D- R_Si_D) in a following step __ is not included because it is not crucial to the arguments relative to the aging processes covered by this article.

A. Quiescent operating points and test conditions

An IR LED is now characterized according to the RIM and TPM fundaments. For sake of verification the efficiency of the proposed methodology is tested by comparing estimations for parameters n and R_S to the values obtained under the Werner's Plot A method [4]. Its I-V curve is shown in Fig. 2, considering the cables' resistance effect (R_{S, ext}= 0.8 Ω).

According to that typical I-V curve a bias current I_D = 80 mA is established for a dc voltage level near to V_D = 1.4 V. So this is the chosen test current for RIM application purposes, and the first bias current at which the waveforms in the PE circuit (Fig.1a) are acquired for TPM application purposes. In circuit of Fig.1a R₁ = 100 Ω, so that a dc referential voltage V_B = -8.0 V must be verified (by means of the oscilloscope) as the starting step. The excitation signal from source (v_s) is a sinusoidal wave-form with amplitude 500 mV and frequency 100 Hz, displaced by an off-set of around V_os = 9.4 V according to what is prescribed in (4).

Plots obtained by handling the original data points in the I-V curve (Fig. 2), for analysis applying the referential methodology [4], are shown in Fig. 3 together with estimations to n, R_S and I₀.

B. Application of new approaches

Typical waveforms from circuit setup are shown in Fig. 4, which are visualized at the oscilloscope screen for operation around the quiescent point (I_D = 80 mA) along with the procedures for characterization of the DUT under the proposed methodology.

Based on those waveforms and according to (3) one could immediately estimate the dynamic resistance of the DUT at quiescent operation as r_d = 3.33 Ω, while the threshold voltage could be estimated by (5) as V_D0 = 1.36 V. For estimating n and R_S to equation (1) a second quiescent point is required, according to the novel methodology, since (13) now can be used to get a value of ideality which leads to a serial resistance when inserted to (10), together with readings from screen. The waveforms resulting from circuit operation around the lower quiescent current (I_D2 = 20 mA) for the same exciting signal, now displaced by V_os2 = 3.36 V accordingly to (4), are shown in Fig. 5.

The Shockley equation (1) possesses a third parameter (I₀) whose value will not be estimated, although it could be obtained from plotting the graph i_Dvs ln(v_D- R_Si_D) in a following step. However, it is not crucial to the arguments relative to the supposed aging processes of interest.

According to the waveforms in Fig. 5 the LED's dynamic resistance increased considerably in the second quiescent point Q₂ (see Fig. 2): r_d2 = 5.53 Ω. Such a higher value is expected due to the greater proximity to threshold voltage on I-V characteristic. Now tanking hand of (13) an estimation for ideality is available (n = 2.29) as well as the estimation for serial resistance (R_S = 2.60 Ω) by means of (10), always keeping in mind the readings at screen of the oscilloscope (Fig.4a-b and Fig.5a-b). Recordings of the trace "2" (Chanel A) in Fig.5a makes it clear, however, how the poor ratio signal/noise in this waveform can affect considerably the precision of estimations. It must be emphasized that automatic voltage amplitude evaluations the equipment drives by itself are majored, and some refinement of estimations must be directed (even visually) by the operator.

Turning to the waveforms originated from the coupled circuits and shown in Fig. 6a-b __ which were obtained simply by taking probe A (i.e, Chanel A of oscilloscope) from point 2 in Fig. 1a to point 2 in Fig.1b __ the ratio between the photo-induced and the exciting currents (R) can be estimated by means of (7a-b) promptly. The PD's bias circuit uses a voltage supply V_CC = 12 V and a resistance R₂ = 100 kΩ such that R = 4.6x10^-4. This ratio R must be gauged prior to each test of performance of a given LED, becoming a referential "measure" for evaluating its EQE evolution.

C. Simulating increase of R_S

When a discrete resistor (R_S,ext) is associated externally in series with the DUT, simulating some degradation process of contacts or transport layers in its internal structure, the TPM is applied again to get estimations for n and R_S, while the RIM's working is verified. The correspondent voltage signals and levels measured and used for estimations are shown in Fig.7a-f. Particularly the waveforms in Fig.7e-f bellow were obtained for R_S,ext = 15.8 Ω, keeping the same conditions of excitation of the DUT's biasing circuit, as can be confirmed by adding the amplitudes of v₁ and v₂ in Figs.4a,7a. Note the re-distribution of voltage signals that got apparent due to the voltage divider performed by R₁ and DUT association in Fig.1a-b. However, due to the resulting increase of "dynamic load" (composed by this set with two devices) to the exciting source (V_s in Fig.1a), a reduction is expected to take place to the current signal v_b/R₁ measured by means of Chanel B of the oscilloscope. The dc voltage across the DUT, which is measured by means of Chanel A in Fig.1a, is expected to rise since the bias current is kept the same (I_D = 80 mA) in this test. It is clearly shown that both amplitudes were shortened in Fig.7e, relatively to Fig.6a, meanwhile dc voltage levels measured in Chanel B exhibit almost the same values in Fig. 7f as before (compare with Fig. 6b). It is worthy to emphasize that such behaviors agree with predictions from (7a-b) for a stable R, since in reality there was not enough time of work to depreciate the internal structure of the LED under test in terms of its level of emission.

Trying to remove effects of noise in the estimations obtained earlier we assumed, according to Fig.5a, that automatic evaluation for amplitude of signal v_a is majored by 10 mV (i.e, this is the average amplitude peak-to-peak supposed for noise). When such an assumption is used to estimating more refined values to the parameters of interest, one achieves n' = 2.27 and R_S' = 2.08 Ω (associating R_S,ext = 0.8 Ω) and n'' = 0.49 and R_S'' = 18.29 Ω (associating R_S,ext = 15.8 Ω). For sake of comparisons both estimations for parameters of the Shockley equation (1) from Werner's method and from TPM (with R_S,ext = 0.8 Ω and R_S,ext = 15.8 Ω) were inserted to TABLE I bellow.

IV. RESULTS AND DISCUSSIONS

Comparing the estimations obtained to the parameters of interest in the Shockley equation (1) (recorded in TABLE I) from application of both the Werner's method and the TPM, the notorious discrepancies appear unacceptable. Such results, however, cannot be attributed to greater efficiency of one or other methodology in treating the data obtained from I-V curves of a given LED (Fig. 2). Werner's plot A (Fig. 3) exhibits spreading of experimental points due to limitations (noise) imposed by the instrumentation available in tests. So, linear fittings were obtained only for small sub-sets of points that align jointly, the reason why they have been selected for linear approximation purposes. Certainly the estimations are affected by unsatisfactory inclusions or exclusions of significant data points. It is pointed out, for example, that estimation of I₀ seems not to be reliable because of the value much lower than expected for a real device. Values listed in the first row of TABLE I serve, however, as referential estimations for sake of comparison relatively to the values obtained from TPM.

On the other hand, values listed in the second row (TPM) confirm that proposed methodology is sensible for estimating n and R_S, with earnings in terms of fastness, ease and practicity for tests in laboratory. Even though those values suffer of inexactness, their estimation took only few minutes of work on bench. It is mandatory to emphasize that "small-signal hypothesis" exact voltage signals with amplitudes smaller than [12] 10% of nkT/e (i.e, smaller than 2.5 mV) otherwise the linear approximation subsidizing the adopted model is severely deniable. To downsize voltage signals, however, requires additional efforts directed to improvement of the ratio signal/noise (S/N), something hardly tried at the moment but still not surpassed in our lab. The strength of our theoretical fundamentation in the TPM's formulation composes the main argument to uphold its applicability on quality control of devices, as well as to continue employing efforts on its improvement. Greater efforts were dedicated for stabilization of waveforms in tests for estimation of ideality factors (n), because the DUT had to be operated closer to its threshold where the dynamic resistances (r_d2) are significantly higher. In the second quiescent point Q₂nonlinear distortion is stronger due to the "knees" of curves. Efforts would be compensated whether the estimation for n by means of (14) could be satisfactory (according to the waveforms in Fig. 5a, one reaches an alternative value n''' = 3.9). However, (14) can be deduced directly from (8) or (11) when R_S = 0 in that expressions. That is the reason why estimating n by means of (14) seems not to be the best choice. In fact, the closer is the quiescent point to the "knee" of the LED the smaller is the voltage drop (due to R_S) in equation (1).

Contents of TABLE I include also estimations for simulated increase on R_S (due to aging processes related to ohmic contacts or transport layers in the structure of LEDs) by means of inserting an external resistance R_S,ext = 15.8 Ω (this value results from serial association of one resistor of 15 Ω and the cable's original resistance), to make clear that TPM is reliable for evaluation of LEDs even for samples with higher serial resistances. The estimation of ideality becomes difficult, however, when the dynamic resistance gets closer to the serial resistance (now r_d = 18.45 W, based on waveforms in Fig.7a), because (9) shows this fact implies the "junction resistance" parcel nkT/eI_D tends to vanish.

It is worthy to emphasize that even for highly resistive neutral layers the rate of radiative recombination (i.e, the EQE) can still be made noticeable provided that the bias circuit preserves its capability to sustain the same level of current injected through the structure. In other words it must be noted that along with its aging a typical LED experiences both increasing of R_S and decreasing of EQE, but not necessarily these effects happen together or directly related to each other. Speaking about OLEDs again, for sake of information, one well known mechanism leading the resistances of transport layers to rise is the bond-breaking by atmospheric attack, compromising the conjugation in the polymeric main-chains. Their EQE would not be compromised, however, whether the peripheral ligand molecules were not affected via chemical reaction with oxygen or water [9].

On the other hand, it has to be mentioned the existing discussions on the belief that carrier injection is governed by another regime in OLEDs, which is known as space-charge limited current (SCLC) [9], [14]-[15], due to their typically much higher resistive transport layers. Because of the abrupt change in mobility of electrons when crossing the interface metal-organic semiconductor at cathode, there would be carriers accumulated imposing further opposition to injection of current in the structure. In such a point of view the high valued resistance of that neutral layer (said electron-transport layer [9]) does imply reduction of the EQE of the LED in the sense that it depends on balanced injection of both positive and negative charge-carriers. In that case effects of higher resistive neutral layers and lower efficiency for radiative recombination are not distinguishable and must be thought under more careful criteria. Because of the inorganic nature of LEDs treated in this article, the Shockley Equation is adopted and the alternative formalism based on SCLC is fully discarded. It does not mean, however, that TPM cannot be applicable for evaluation purposes to OLED's, since Shockley formalism is not completely discarded to modeling devices with organic features [10].

Now turning to the tests of performance by remote monitoration via optical signals emitted by the given LED, it is noticeable the clarity (low noise) of traces in the oscilloscope screen shown if Fig. 6a and in Fig. 7e, as well as the apparent absence of nonlinear distortion in the transmitted optical signal. That traces demonstrate the possibility of monitoration of the current signal in the DUT from photocurrent generated in the PD optically coupled to it, according to (6) and (7a-b). Connecting the discrete resistor R_S,ext = 15.8 Ω an immediate amplitude shortening is noted in the current signal of excitation (DUT), according to Chanel 1 (compare v_b in Fig. 6a to Fig. 7e). This "information" is transmitted to the PD which receives an optical signal with shorter amplitude, according to Chanel 2. On the other hand, since the same dc level of current (I_D = 80 mA) flows through the DUT (whose EQE is kept unchanged), the level of photo-current stays stable (compare Fig. 6b to Fig. 7f). These observations open good perspectives for application of the RIM in monitoration of R_S and EQE, because it seems to allow one to identify which mechanism of degradation acts internally to the LED's structure.

In laboratory the ratio R between exciting and photo-induced currents defined in (6) was also measured by means of (7b) after insertion of R_S,ext to confirm the stability of the EQE, supposed earlier from levels V_R shown in Figs.6b-7f, according to what is expressed by (7a). Further arguments could arise from estimations to the parameter V_D0 by means of (5) in the linear model approximation, since mechanisms that lead to increasing r_d in the quiescent point are not the same as the mechanisms that could lead to increasing the threshold voltage along with LED's lifetime. Equation (9) suggests that changes of r_d could be due to changes either in R_S (related to transport phenomena) or in n (related to injection phenomena) for a given temperature. So, measuring v_r could only indicate whether a change in r_d has happened or not, but it does not allow to identify which mechanism is acting internally to DUT's structure. Measuring V_R simultaneously to v_r could, however, allow the hypothesis of change in n to be discarded for those cases where R was not altered, according to (7a). In such cases V_R keeps unchanged and v_r exhibits "how" r_d behaves (i.e, due to R_Sonly) directly since, for the same level of charge injection (always I_D = 80 mA), the R maintenance points towards the hypothesis of injection phenomena being preserved. Following the same clue the voltage threshold estimation (V_D0) would arise as some "counter-proof" because it should also exhibit a stable value along with time. In other words, it is known [1],[16] that positioning of the "knee" of curves I-V is hardly dependent on the ideality n, since this parameter determines how fast the LED's current "turns on" with voltage in the exponential law (1).

Otherwise when V_R changes (probably to a higher value), a behavior that can be attributed only to changes in R according to (7a), it is certainly due to EQE evolution on time. However, measuring v_r simultaneously to V_R could not give conclusive information relatively to R_S in the LED because changes of R imply also changes of amplitude of the transmitted signal. For that cases, it is possible to take hand of (7a) and (7b) to estimate, separately, values to the ratio R allowing to conclude whether R_S has also changed (same R value) or not (differing R values). Such a test makes sense only in laboratory, being hard to be implemented in circuitry for engineering purposes. Finally, it must be pointed out the strongly improbable possibility of an increase in V_R (i.e, decrease of the EQE) to occur simultaneously to a decrease in R_S (i.e, improvement of contacts and/or conductivity of transport layers) leading the amplitude of v_r to stay the same or to increase with time. Such a behavior is not expected to happen in generic LEDs along with their life-time.

V. CONCLUSIONS

It is possible to evaluate electrical behavior of LEDs by means of their equivalent linear model for "small-signals" taking hand of the simple circuit setup shown in Fig.1 operated around a specific bias point. The same DUT could be evaluated periodically often times along with its aging, when operated under identical charge injection conditions. Also, distinct DUTs taken out of the same lot in industry could be evaluated under standard operating conditions to establish working parameters and for quality control purposes. Operation under "small-signal" regime exacts the tests to be run near to the operational limit of instruments on bench. Maybe the qualification of the new methodology as "state of the art" resides in this fact. Additional efforts searching for reduction of noise must be driven, aiming to improve exactness and precision of estimations to parameters of the Shockley equation. However, we already demonstrated the potentiality of this methodology for estimation of ideality n and serial resistance R_S in LEDs, with good precision only from two points on its I-V curve. That is an enormous advantage relatively to other methods, as the Werner's plot A, which applies many experimental points for those estimations. Other merits of this new methodology that must be emphasized are its easy, practicity and fastness for estimative procedures, because it employs essentially one simple circuit and two common bench instruments. Finally, we also emphasize that the greater merit of all is to bring with it a possibility of remote monitoration of the performance of a given LED, supplying meaningful sense of internal processes taking place during degradation of its structure. In the best of our efforts on researching for anteriority this is a pioneer work.

ACKNOWLEDGMENT

THE AUTHORS ACKNOWLEDGE THE FINANCIAL SUPPORT FROM CNPQ AND FACEPE FOR SCHOLARSHIPS AND GRANTS.

Received 21 Oct 2012

For review 7 Dec 2012

Accepted 4 July 2013

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A methodology for performance evaluation of LEDs based on ac small signal analysis

Isnaldo J. Souza Coêlho; James N. da Silva

Publication Dates

• Publication in this collection
  10 Feb 2014
• Date of issue
  Dec 2013

History

• Received
  21 Oct 2012
• Accepted
  04 July 2013
• Reviewed
  07 Dec 2012