Case Study: LED-Based Downlight System

CASE STUDY
DESIGN, DEVELOPMENT AND ANALYSES FOR
A LED-BASED DOWNLIGHT SYSTEM
This article examines the thermal management of a light emitting diode (LED)based lighting system developed by Advanced Thermal Solutions, Inc. First,
we discuss the environment in which the lighting system will be used. Then, we
look at the system’s cooling needs and the various analyses used to confirm
that the LED thermal requirements are being met. The article concludes with
a comparison of the results.
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Ceiling air
temperature
LED-Based Lighting System Requirements
An LED-based lighting system was to be designed to replace
a halogen-based downlight. A downlight is typically installed
in a hollow opening in a ceiling and provides a concentrated
output in the downward direction. A thermal management
analysis was needed to properly design a cooling method for
the LED system, which had to include a natural convection
heat sink. This environment is shown in Figure 1
From Table 1, with a forward current of 1000 mA, the junction temperature needs to be kept below 124ºC to achieve
a 60,000 hours lifetime.
Ceiling
Room ambient temperature
Figure 1. A Typical Downlight Environment.
(B50,
L70)
lifetimes
InGaNLUXEON
LUXEONK2
K2
(B50,
L70)
lifetimes
forforInGaN
70,000
60,000
Lifetime (Hours)
Product Requirements
The lifetime of an LED relates to its junction temperature and
forward current. The new downlight includes three InGaNbased LUXEON cool white K2 LEDs at a forward current of
1000 mA. The maximum operational junction temperature
for these cool white LEDs is 150ºC [1]. The downlight has
a lifetime requirement of 60,000 hours. Figure 2 shows the
lifetimes of the cool white LED for different forward currents,
junction temperatures, and for the B10, L70 lifetime condition
(which implies that for a specific lifetime, 10% of the LEDs
are expected to fail at the specified junction temperature and
forward current.) The failure criterion is when the light output
of the LED has been reduced to 70% of its original light out.
To achieve the 60,000 hours lifetime with a B10, L70 condition, the junction temperatures required for specific forward
currents are shown in Table 1.
Downlight
350mA
50,000
700mA
40,000
1A
30,000
1.5A
20,000
10,000
0
90
100
110
120
130
140
150
160
Junction
Temperature
Junction temperature
(C) (C)
170
180
190
Figure 7. Expected (B50, L70) lifetimes for InGaN LUXEON K2
Figure
2. Lifetimes for Different InGaN
Versions of the LUXEON K2 LED [2].
For this study, in order to achieve a 60,000 hours lifetime the
LED junction temperature must be kept under 124ºC, with an
average year-round temperature of 20ºC. Under maximum
temperature conditions, the junction temperature must be
less than 150ºC at an ambient temperature of 40ºC.
Forward Current
[mA]
Max Junction
Temperature [ºC]
350
154
700
134
1000
124
Thermal Management Analysis
The lifetime and maximum temperature conditions were determined previously; now, a thermal management analysis is
applied to each condition. This is a confidence level analysis
performed to build in safety margins for all unknowns in all
engineering phases. The analysis comprises three sections:
analytical, numerical (CFD) and experimental.
1500
112
1. Analytical analysis
a. Based on the unknowns in the analysis and
shortcomings of empirical and experimental
correlations, assumptions made in order to
do the analysis
Table 1. Required Junction Temperatures of LUXEON K2
LEDs for Specific Forward Currents to Achieve 60,000
Hours Lifetime Under the B10, L70 Lifetime Condition [2].
Type of Analysis
CFL
Analytical
80%
Numerical
80% to 85%
Experimental
90%
Table 2. Confidence Factor Level, CFL, for
Different Types of Analyses
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200
2. Numerical or CFD analysis
a. Unknowns and assumptions made in order
to do the analysis
b. Shortcomings in the numerical code
3.Experimental
a. Incorrect thermocouple placement
b. Variations in thermocouple response
c. Errors in velocity probe calibration
d. Power input measurement
Equation 1 is used for the confidence level analysis, where
Tj is the required junction temperature and CFL is the
confidence level being applied. Additionally, Tj,condiction is the
specified junction temperature and Treference is the reference or
ambient temperature. The temperature difference between
the required junction temperature and the reference temperature, ΔTcondition, is used when comparing different conditions.
Analytical Analysis
As a starting point, an LED junction temperature of 108ºC
is assumed, with a required forward current of 1000 mA.
The usable light tool [3] gives a light efficiency of 9.4% and
electrical power dissipation, Pe, of 3.53 W. The light efficiency
is the ratio of the light power, Pl that the LED emits to the
electrical power input, Pe. This is also given by Equation 7,
which can be re-arranged in the form shown in Equation 8.
ηl =Pl Pe
(7)
Pl = ηlPe
(8)
Pl
Pe
Tj − Treference
∆Tcondition
=
≤ CFL (1)
Tj,condition − Treference Tj,condition − Treference
A confidence level of 90% is used in this study. Re-arranging
Equation 1 yields Equation 2. Applying the lifetime conditions
to Equation 2 determines the temperature difference for the
lifetime condition.
(
∆Tcondition =
CFL × Tj,condition − Treference
)
∆Tlifetime = 0.9 × (124 − 20 ) = 93.6 K
Figure 3. Control Volume Around an LED.
(2)
(3)
The maximum temperature difference can also be determined, as shown in Equation 4.
∆Tmaximum = 0.9 × (150 − 40 ) = 99 K
.
Qj
(4)
Consider the control volume around the LED in Figure 3. The
electrical power input, Pe enters the control volume while the
.
heat dissipated, Qj and the light power, Pl leave the control
volume. Applying an energy balance to the control volume
yields Equation 10.

Pe= Pl + Q
j
(10)
Re-arranging Equation 10 yields Equation 11:
From Equations 3 and 4, the lifetime condition is the most
severe condition. Re-arranging Equation 1 yields Equation 5,
(
)
Tj =×
CFL Tj,condition − Treference + Treference
(5)
Therefore, the junction temperatures to be determined by
different analyses must be less than 113.3ºC at an ambient
of 20ºC.
= P + P
Q
j
e
l
(11)
Substituting Equation 8 into 11 yields Equation 12.
Re-arranging Equation 12 gives Equation 13:
= P − η P
Q
j
e
l e
(12)

=
Q
Pe (1 − ηl )
j
(13)
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Because all other values of Equation 13 are known, the
heat dissipated by the LED can be calculated.
 = 3.53 × (1 − 0.094=
Q
) 3.2 W
j
(14)
Standard FR-4 boards can be used for LEDs with up to
0.5 W of dissipation, but metallic substrates are required
for higher levels [4]. Because the LED heat dissipation is
3.2 W, a metal core board type PCB was used. Figure 4
is a sketch of the LED junction to heat sink. It shows each
material that the heat from the LED must transfer through
before it reaches the heat sink. Figure 4 also provides
a thermal resistance diagram based on the sketch. The
resistances are considered to be in series.
The metal core board’s spreading resistance, Rmetalcore can
be determined using the spreading resistance calculation
method explained in [5]. The effective in-plane thermal
conductivity can be calculated using Equation 15, as described in [6]:
Equation 15 can be modified to accommodate the PCB’s
aluminum layer, as shown in Equation 16. Additionally, the
coverage percentage of each layer can be taken into account
by the factor βi,
∑ βik c t c,i + ∑ βik g t g,i + β ALk AL t AL
=i 1 =i 1
k p,e =
∑ k c t c,i + ∑ k g t g,i
=i 1 =i 1
k p,e =
(16)
t
where tAL is the aluminum thickness and kAL is the thermal
conductivity of the aluminum.
The PCB’s material properties are shown in Table 3. Using the
spreading resistance calculation and effective in-plane thermal
conductivity methods previously mentioned, along with the
PCB’s material properties, the spreading resistance in the metal
core board was calculated as Rmetalcore = 1 K/W.
Ng
Nc
Ng
Nc
Material
Coverage
[%]
Conductivity
[W/m∙K]
Thickness
[µm]
Copper
50
385
70
Dielectric
100
3
150
Aluminum
100
180
1600
(15)
t
where t is the total thickness of the PCB, tc,i and tg,i are the
thicknesses of the copper and glass-epoxy or prepreg/
dielectric layers, and kc and kg are the thermal conductivities
of the copper and glass-epoxy, respectively.
Table 3. PCB Material Properties
Prepreg
150µm
Rj-s
Metal
Core
Board
Aluminum
1.6mm
Copper
17.5 - 70µm
Solder paste
150µm
Heat slug
Interface
Material
Rs-soldier
Rmetalcore
Rinterface
R
hs base,
spreading
Heat Sink
Base
Figure 4. Heat Sink-to-LED Junction and Corresponding Thermal Resistance Diagram
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The other thermal resistance needs are as follows:
1. Rs-solder is the thermal resistance in the solder under the
LED slug. It is 146 µm thick with a thermal conductivity
of 50 W/m∙K and an area of 22.5 mm². This results in
a thermal resistance of 0.13 K/W.
2. The interface resistance is assumed to be 0.2 K/W. This
is comparable to the resistance of Chomerics T405-R
thermal interface material.
3. The spreading in the heat sink base, Rhs base,spreading is
assumed to be zero.
4. The junction-to-heat slug thermal resistance of the LED
is 9 K/W [1].
Consider the thermal resistance in the heat transfer path from
the junction to the heat sink base shown in Figure 4. These
resistances are considered to be in series, and the junction-toheat sink resistance is the sum of the individual resistances.
Using Fourier’s law of heat conduction in a one-dimensional
differential form, the heat transfer rate between the junction and
the heat sink can be expressed by Equation 17. Because the
required lifetime junction temperature, the heat dissipated by
the LED, and the thermal resistance from the junction to heat
sink are known, Equation 17 can be re-arranged to calculate
the heat sink temperature, Equation 18.
 = Tj − Ths
Q
j
R j−hs
(17)
 R
Ths= Tj − Q
j j−hs
(18)
Ths= 113.3 − 3.2 × 10.3= 80.34 ºC
(19)
Because there are three LEDs on the heat sink, the sink must
be able to transfer 3 x 3.2 W = 9.6 W from a heat sink temperature of 80.34ºC to an ambient of 20ºC. Using the thermal
resistance diagram shown in Figure 5, the thermal resistance
from the heat sink to ambient can be calculated using Equation
21. From Equation 22, the heat sink thermal resistance must be
less then 6.28 K/W or the heat sink must be able to dissipated
9.6 W at a temperature difference of 60.34 K.
 = Ths − Tamb
Q
hs
Rhs−amb
Rhs−amb =
(20)
Ths − Tamb

Q
(21)
hs
=
Rhs−amb
80.34 − 20
= 6.28 K/W
9.6
(22)
Tj = 113.3ºC
.
.
.
Qj
Qj
Qj
Rj-hs
Rj-hs
Rj-hs
.
.
Ths = 80.34ºC
Qhs =3x Qj = 9.6W
Rhs-amb
Tamb = 20ºC
Figure 5. Thermal Resistance Diagram of
LED Junction to Ambient
For the analytical simulation, two methods available to
determine the heat sink thermal resistance. The first is
to refer to the heat sink’s data sheet, which, in this study,
shows that 9.6 W can be dissipated at a 56.3K temperature
difference (see Figure 6.) This is less than the required 63.4
K temperature difference.
The second method is to use an analytical model of the
heat sink ( the part number is ATSEU-077B-C4-R0.) The
results of the analytical analyses are shown in Table 4.
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10.00
0.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00 11.00 12.00
Experimental Results
P ow er D issipation [W ]
An experimental model of the downlight was manuVertic
al m ounted
factured and tested. This was
done
in order to verify
the results of the analytical and numerical analyses.
The LEDs were calibrated using the forward voltage
method, also referred to as the electrical method. In
the forward voltage method, the LED is calibrated
at a sense current. Thereafter, the LED is tested
at the required forward current of 1000 mA. When
steady-state has been reached, the junction voltage
at the sense current is measured and the junction
temperature can be calculated from the calibration
curve. A detailed example of the forward voltage/
electrical test method is given in [8].
Comparing the Analytical, Numerical and
Experimental Results
Table 4 summarizes the analytical, numerical and
experimental results for the LED lighting system.
The table shows that the results obtained using the
different methods are within 10% of each other and
have a high confidence level. The maximum temperature difference calculated for the CFD results
is 93 K. Further, the experimental results have a
temperature of 87 K. Both of these results are below
the required 93.6 K for the lifetime condition. Therefore, the analyses have shown that the LED-based
downlight system satisfies the lifetime temperature
condition. The LED-based downlight lighting system
end product is shown in Figure 9.
T herm al P erform ance G raph
DThs-am bient [K ]
DThs-am bient [K ]
Numerical Results
T herm al
P erform ance
G raph of the
Based on the analytical
results,
a model
downlight was
created.
It
was
simulated
in a free air
80.00
70.00
environment.
60.00The boundary conditions for a free air
50.00
environment
are discussed in [7]. The results of the
40.00
30.00
numerical analysis
are shown in Table 4.
20.00
80.00
70.00
60.00
50.00
40.00
30.00
20.00
10.00
0.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00
11.00
12.00
P ow er D issipation [W ]
Vertic al m ounted
Figure 6. Experimental Results Using the ATSEU-077B-C4-R0 Heat Sink
Figure 7. Numerical Results of the Downlight Analysis
Figure 8. Experimental Analysis & IR Result
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(c)(c)
Units
Analytical, with
experimental
hs-data
Analytical,
only
CFD
Experimental
Tambient
°C
20
20
20
20
Iforward
mA
1000
1000
1000
1000
Light efficiency
%
9%
9%
9%
9%
Pdissipated,total
W
9.6
9.6
9.6
9.6
Theatsink base
°C
68
76
75
71
Tboard
°C
73
81
84
78
Tj, led
°C
102
110
113
107
Comparison of methods
%
95%
103%
105%
100%
ΔTj-amb
K
82
90
93
87
TRUE
TRUE
TRUE
TRUE
Parameter
Less than the required temperature
difference of 93.6K
Table 4. Comparison of the Analytical, Numerical and Experimental Data, Normalized to an Ambient Temperature of 20ºC
Summary
This article explains the development of an LED-based downlight system.
The LED lighting system uses 3 LUXEON K2 LEDs at a forward current
of 1000 mA. The article discusses analytical, numerical and experimental
analysis methods A comparison of the different analysis results are given.
For reliability, it is recommended that at least two independent results be
obtained, and that these not differ by more than 20%.
Figure 9. Final LED-based Downlight
Cooling Solution
References:
1. Luxeon K2 Technical data sheet, DS51, http://www.philipslumileds.com/
pdfs/DS51.pdf, September 2009.
2. Luxeon K2 Reliability Datasheet RD06, http://www.philipslumileds.com/
pdfs/RD06.pdf, September 2009.
3. Future Electronics, Usable Light Tool, www.futurelightingsolutions.com.
4. Petroski, J., Thermal Challenges in LED Cooling, Electron­ics Cooling
Magazine, November 2006.
5. Spreading Thermal Resistance: Its Definition and Control, Qpedia
eMagazine, September 2007.
6. Shabany, Y, Component Size and Effective Thermal Conductivity of
Printed Circuit Boards, ITHERM, 2002.
7. Boundary Conditions for Natural Convection CFD Simulations, Qpedia
eMagazine, June 2009.
8. Hulett, J. and Kelly, C., Measuring LED Junction Temperature, http://
www.photonics.com/Content/ReadArticle.aspx?ArticleID=34316, September 2009/
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