reliability & lifetime calculations using power tester & flotherm … · 2019. 6. 28. ·...
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Reliability & Lifetime calculations using Power Tester & FloTHERMVoon Hon Wong, PhD.Field Product Manager May 2019
Realize innovation.Restricted © Siemens AG 2019
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Importance of Thermals
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The Importance of Thermal design in electronics
In any semiconductor IC package, we are concerned with the Junction TemperatureTemperature effects are linked to:
Functional performance• Timing errors in digital ICs• Performance of analog circuits• LED colour and brightness
Reliability• Solder joint cracking• PCB trace delamination• PCB FR4 melt• Fusing• Broken bond wires
Source: Lumileds
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How Thermal Simulations can help ?
Minimise the risk of 1st physical prototype failure
By observing performance of simulated ‘virtual prototypes’ throughout the design process
Can also be used to help predict life time and reliability of products
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Power Electronics - IGBT technology trend:Power densities are increasing
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Insulated Gate Bipolar Transistors (IGBT) / Power ElectronicsApplications
Motor drives• Commercial motor drives• Motor drives discrete• Motor drives modules• Motor drives IPMUPS• UPS discrete• UPS modulesPhotoVoltaic inverters• Commercial PV• Residential PV• Solar farmsElectric Vehicles/Hybrids • PHEV/EV• Full HEV• Mild HEV• Micro HEV• EV/HEV charging stations
Railway traction Rail traction inverters Rail auxiliary inverters
Wind turbines Wind turbine >1MW Residential/commercial wind
turbines
Industrial applications Welding Other industrial
Consumer applications Induction heating DSC–DSLR camera flash Air conditioner Washing machine Microwave oven Flat panel (LCD/PDP) Lighting supplies Other home appliances
Others Other power supplies
(SMPS) Automotive ignition Marine propulsion Medical applications Defibrillators Avionics converters Heavy duty vehicles Grid –T&D
Classification by Yole Développement
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IGBT Market Forecast by Segment
Source: Yole Developpement - IGBT Markets & Application Trends, 2013
$0B
$1B
$2B
$3B
$4B
$5B
$6B
$7B
2011 2012 2013-E 2014-E 2015-E 2016-E 2017-E 2018-E
Others
Consumer applications
Industrial applications
Wind turbines
Rail traction
EV/HEV (+chargers)
PV inverter
UPS
Motor drives
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Test Methodologies
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Commonly used test methods
IGBT testing includes some major branches, like• Module electrical characterization tests (QM and QC)• Environmental tests (QE)• Lifetime tests (QL)• etc. (mechanical tolerances, chemical resistance, …)
Siemens expertise covers an important range of these testing branches,
especially those which are related to powering solutions and thermal effects
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Environmental testing (QE) for automotive industry
The environmental tests serve to verify the suitability of power electronics modules for use in motor vehicles.
Some commonly used environmental test solutions • Temperature shock tests (TST)• Contactability (CO)• Vibration (V)• Mechanical shock (MS)
We focus only on those which induce mechanical damage in the heat conduction path of the power module• Combined with structure function evaluation it is a good
test method• Power Cycling Tests
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Vulnerable areas of a typical power device
The thermo-mechanical stress is the largest when the temperature difference between layers is high and the contact surface is large
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Vulnerable areas of a typical power device
The thermo-mechanical stress is the largest when the temperature difference between layers is high and the contact surface is largeSolder joint between the base plate and the back-side metallization of the substrate
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Vulnerable areas of a typical power device
The thermo-mechanical stress is the largest when the temperature difference between layers is high and the contact surface is largeDie attach – There was extensive research in this field towards better materials and processes
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Vulnerable areas of a typical power device
The thermo-mechanical stress is the largest when the temperature difference between layers is high and the contact surface is largeBond wires - Small area but high temperature swing and CTE mismatch make it vulnerable
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Temperature gradient development during power cycling
The ageing process (cycling) has to be simulation based
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Mission Profile Based Lifetime Testing
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Power Cycling Tests – Our Solution: Power Tester
Uses T3Ster technology• Structure Functions
High Power applications• 600A, 1500A, 1800A, 2400A, 3600A
Automated Power Testing and Power Cycling tests
For MOSFETs, IGBTs & generic two-pole devices
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Example: Electric traction in a car
Heating and cooling is determined by the motion of the wheel
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Definition of the application –The driving profile
For the design of the power module the exact definition of the task is necessaryPossible input data:• Electrical data: V, I• Velocity vs. time functions
Driving profile examplesTest standards defined by the US EPA
• FTP-75 for the general city driving• UDDS: Inside the city for light vehicles• US06: Aggressive driver• HWFET: Highway, standard driver
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1. Lifetime calculation workflow1. Driving Profile 2. Power Profile 3. Temperature Profile
4. Distribution of Temperature Changes 5. Lifetime Curves
Expected Lifetime
(e.g 12 yrs)
Calculation
Calculation
Simulation
Ageing byPower Cycling Calculation 6. Lifetime calculations
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2. Power profile based on mission profile
Forces used for modeling the movement of a car Rolling resistance: 𝐹 𝜇 𝑚𝑔
Air resistance: 𝐹 𝜌𝐴𝐶 𝑣 Acceleration resistance: 𝐹 𝑚𝑎 Elevating resistance: 𝐹 𝑚𝑔𝑠𝑖𝑛 𝜑 (neglected)
Engine power: 𝑃 𝑡 Σ𝐹𝑣 𝑡
Total required power: 𝑃 𝑡 (𝜂 – efficiency)
Power loss: 𝑃 𝑡 𝑃 𝑡 𝑃 𝑡 𝑃 𝑡 is partially the conduction and switching loss of the IGBT
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3. Temperature profile simulation
Step 1.
3D model
FloTHERM/FloTHERM XT detailed model of a single IGBT module.• Same environmental conditions
as PwT tests.• Same power dissipations of the
dies.
Step 2
Use Auto-Calibration to calibrate the simulation model. Gives us:• Accurate transient behavior• Confidence with simulation
model
Step 3
With a calibrated IGBT module in FT, we can now create a system level of the inverter (> 1 IGBTs + coldplate)Simulate with driving cycleWe obtain the resulting temperature vs. time profile for the die(s)
Calibrated
Uncalibrated
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4. Temperature histogram calculation
Count the individual temperature gradient components in the temperature profile – future weighting factor in cycling
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5. Power cycling
Switching the power between two defined states• Induces mechanical stress• Leading to failure
Monitoring the phenomenon with optical/thermal tests
Checking the maximum temperature change of the sample in each cycle
► Reliability/ lifetime test
No. of cycles to failure
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6. Measure points of the lifetime curvesand estimate lifetime
Arrhenius model: 𝑁 𝑒 · Cycles to failureExtended Arrhenius models:
• 𝑁 ∆𝑇 𝐴 · ∆𝑇 · 𝑒 · (used by: F* Company)
• 𝑁 ∆𝑇 𝐴 · 𝑓 · ∆𝑇 · 𝑒 · (used by: I* Company)
Lifetime estimation𝑁 _ ∑
_
𝑡 𝑁 _ · 𝑡
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Case Study
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IGBT Sample
We opened up and measured the sample’s geometry
9 mm
Solder
Ceramic
Copper layer
Copper layer
Baseplate
DieDie attach
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IGBT Detailed simulation model
Material Properties assigned to the different layers in FloTHERM
Imported into
FloTHERMto be
calibrated
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Model calibration
• Adjustment of material properties until a perfect match is achieved between structure functions
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
1e-4
0.01
1
100
10000
1e-4
0.01
1
100
10000
Rth [K / W]
Cth
[W
s / K
]
K [W
²s /
K²]
T3Ster Master: structure function(s)
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
1e-4
0.01
1
100
10000
1e-4
0.01
1
100
10000
Rth [K / W]
Cth
[W
s / K
]
K [W
²s /
K²]
T3Ster Master: structure function(s)
Original Modified
LayersDensity[kg/m3]
Specific heat[J/kgK]
Thermal conductivity
[W/mK]
Density[kg/m3]
Specific heat[J/kgK]
Thermal conductivity
[W/mK]Chip 2330 700 117,5 2330 700 100DA 14520 151 59 14000 1000 67
Copper 8930 385 385 8930 385 385Ceramics 3300 725 170 3300 725 170
Solder 1 1 57 1 1 57Copper base 8930 385 385 8930 385 385
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Simulation of the IGBT’s temperature profileTransient Power profile for IGBT
Temperature profiles of the different layers in the IGBT
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ΔT HistogramRainflow Algorithm to determine the distribution of ΔT from temperature results
Rainflow Algorithmhttps://en.wikipedia.org/wiki/Rainflow-counting_algorithm
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Num
ber c
ount
of Δ
T
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Samples were tested at 3 different environmental temperatures: 110°C, 100°C, 90°C.
Accelerated lifetime tests
Average ΔT
[°C]Cycle number to failure [-]
SKM6 105 51104
SKM9 101 61969
SKM5 92 68465
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No. of cycles
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Lifetime curve
Curve fitting following the Coffin-Manson modelN A · ∆T
𝑨 α
3,69448∙108 -1,89743
No.
of c
ycle
s
Lifetime curveTest points
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Lifetime prediction
N _1
∑ wN _
t N _ · t
ΔT [°C] Count (𝒘𝒊)Cycle number
(𝑵𝒊)5 7 17430372
10 11 467868015 4 216771620 6 125585625 2 82235630 1 58186050 1 220737
𝑵𝒇_𝒔𝒖𝒎 𝒕𝒄𝒊𝒌𝒍𝒖𝒔 𝐬 𝐭𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐡
55382 240 3692
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Questions ?
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Thank you.Voon Hon Wong, [email protected]