air cooling technology for power electronic thermal control · air cooling technology for power...
TRANSCRIPT
NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
Air Cooling Technology for Power Electronics Thermal Management
P.I.: Jason A. Lustbader National Renewable Energy Laboratory May 15, 2012
Project ID #: APE019
This presentation does not contain any proprietary, confidential, or otherwise restricted information.
2
“ Everything on a vehicle
is air cooled…
3
“ Everything on a vehicle
is air cooled…
ultimately ”
4
“ Everything on a vehicle
is air cooled…
ultimately ”
Goal: Develop air-cooled thermal management system solutions that help meet DOE’s 2015 technical targets by 2014
5
Challenges and Barriers − Relevance • In current designs, heat is transferred from the source through a heat
exchanger to a liquid, which is pumped to a remote location, and then the heat is rejected to air through another heat exchanger
• Air cooling has the potential to improve thermal management system cost, weight, volume, and reliability, helping to meet Advanced Power Electronics and Electric Motors (APEEM) technical targets
• Air is a poor heat-transfer fluid – low specific heat – low density – low conductivity
• Parasitic power • Perception and novelty
The Challenge • Everything on a vehicle is ultimately air-
cooled
• Rejecting heat to air can eliminate intermediate liquid loops
• Air is benign and need not be carried
• Air is a dielectric and can contact the chip directly
Advantages
6
It Can Be Done….When?….How?
Photograph references: Left 1st row [1], Left 2nd row [2], Right 1st row [3], Right 2nd row [4]
Honda Insight Power Rating 12 to 14 kW
AC Propulsion AC-150 Power Rating 150 kW
7
Overview
Phase II start date: FY10 Project end date: FY14 Phase II complete: 50%
• Cost – Eliminate need for secondary liquid coolant loop and associated cost and complexity
• Weight – Reduce unnecessary coolant, coolant lines, pump and heat exchangers for lower system-level weight
• Performance – Maintain temperatures in acceptable range while reducing complexity and system-level parasitic losses
Vehicle Technologies Program 2015 Targets 12 kW/l, 12 kW/kg, $5/kW
Total Project Funding: DOE Share: $1,650K
Funding Received in FY11: $700K
Funding for FY12: $550 K
Timeline
Budget
Barriers
• Oak Ridge National Laboratory (ORNL) – Madhu Chinthavali
• GE, Momentive Performance Materials, and Sapa
Partners
8
FY12 Plan – Relevance 2011
Oct
Nov
Dec
2012
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Develop device- level test bench
Design and build system- level test bench
Go/ No-Go
2
Go/ No-Go Decision Points: 1. Use modeling to determine feasibility of design, use device-level testing to validate models and use in conjunction
with models to determine promising cooling approaches 2. Confirm module-level improvement over baseline and that inverter is on track to meet targets 3. Use module-level data and fan testing results to confirm adequate system performance for FY13
Demonstrate module-level
thermal performance
Go/ No-Go
1 Device and module-level modeling, validation, and feasibility analysis
Fan and ducting testing
Module testing attachment design and build
Thermal module prototype build and test
Prototype design Go/
No-Go 3
Device-level testing
Module and system level modeling
Advanced device testing Update electrical design based on thermal management results
ORNL Supporting Tasks NREL Tasks
9
Milestones Date Milestone or Go/No-Go Decision
05/11 Go/No-Go 0: Using NREL’s system-level analysis method, found that it may
be possible to approach liquid-cooling power density using advanced technology for air cooling
09/11 Synthetic and steady jet study showed a 30% improvement in heat transfer with synthetic jets
12/11 Completed device-level test bench
02/12 Baseline device-level testing
02/12 Model validated
03/12 Go/ No-Go 1, Initial design feasibility: Use modeling to determine feasibility of design, validate with device-level testing
04/12 Complete system-level test bench and begin fan and ducting experiments
06/12 Go/ No-Go 2, Module prototype design review: Confirm system-level improvement over baseline and that system will meet targets
09/12 Go/No-Go 3, Module level demonstration: Use module-level data and fan testing results to confirm adequate system performance for FY13
10
Approach
11
Approach
Photograph references from left to right: 1. Top [1], Right [2]; 2. Bottom [3]; 3. [4], 4. [5]
FY10 – Fundamental Heat Transfer
FY11 – System R&D
FY12 – FY13 Application
FY14 – Demonstration
12
• Air flow rate control • High accuracy heat transfer measurement • Velocity field characterization
– Hotwire anemometry – Particle image velocimetry
• Computer programmable
Cooling Technology Air Cooling Technology Characterization Platform
[1]
[2]
13
Steady and Synthetic Jet Impingement Advanced technology research
Suction Ejection
Square Heater
y
H
S
Nozzle
Steady Jet Synthetic Jet
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.80
10
20
30
40
50
60
time (ms)
Vel
ocity
(m/s
)
Maximum V =51.08 m/sVmean =17.00 m/s
x
Cen
ter V
eloc
ity a
t 0.5
x D
h (m
/s)
t1
Ejection t2
Suction
Maximum V = 51.2 m/s Vmean
= 17.0 m/s
14
Steady Jet vs. Synthetic Jet Synthetic jet improved heat transfer coefficient by 30%
• Reynolds number calculated using the center-line time-averaged mean velocity
• Developed steady jet heat transfer correlation
• Introduced dynamic Reynolds number concept to collapse steady and synthetic jet data
f
h
kDhNu =Nusselt Number:
Reynolds Number: νhVD
=Re
• He, X., Lustbader, J., Arik, M., Sharma, R. “Characteristics of Low Reynolds Number Steady Jet Impingement Heat Transfer Over Vertical Flat Surfaces.” ITherm 2012. San Diego, CA. May 20 – June 1, 2012. (pending publication)
• Arik, M., Sharma, R., Lustbader, J., He, X.“Comparison of Synthetic and Steady Jets for Impingement Heat Transfer Over Vertical Surfaces.” ITherm 2012. San Diego, CA. May 20 – June 1, 2012. (pending publication)
* Data normalized, pending approval for publications given below
15
Balance-of-System Understand parasitic loads and system coefficient of performance (COP)
• Measure – Fan performance and power – Ducting systems – Module level – Full System level
• Phase I: Build complete in March • Phase II, Noise Measurement:
Build complete in September.
16
Mechanical Package Inverter Case Study - Air Cooled
1/6 of one inverter leg
Air direction
Air direction
[1]
17
1/12 of one inverter leg One inverter leg
[1] [2]
Mechanical Package Inverter Case Study – Liquid Cooled
Application Specification
Power Level
Geometry Restrictions
Package Geometry
Thermal Environment
Package Materials
Package Mechanical Design
Cooling Technology Selection
Cooling Mechanism (Fin, Jet, etc…)
Area Enhancement Geometry
Balance-of-System
Fluid Flow Rate
Flow Path (Series Parallel)
Temperature Constraints Package Thermal
Interfaces
Efficiency Specification Targets
Thermal Load per Package
Unit
Heat Exchanger Performance
(R”th,ha)
Cooling Tech. Performance
(UA)
Package Thermal Performance
Loss Calculation Thermal Design Targets
Cooling Design Targets
Package FEA
Interconnected Calculations
Thermal Performance
Pressure
COP
System-Level Analysis
19
Example air cooling fins
Example liquid cooling
Air-Cooled System Comparison Example design trade-offs
Liquid Cooled, Tinlet = 70°
C
Tj,max = 125°
C
•450 VDC, 400 Arms, 0.5 power factor, and 125°C temperature limit •Power factor adjusted to provide 3:1 heating of IGBT and diode •Assumes capacitor size of 59.5 kW/L (10.53 μF/kW and 1.596e-3 L/μF)
Go/No-Go 0 Proof-of-Principle
Air Cooled, Tinlet = 40°
C
Tj,max = 150°
C Tj,max = 200°
C
Baseline
Tj,max = 125°
C Tj,max = 150°
C
Concept Spreader
20 20
• Device type • Device locations • Electrical duty cycles • Temperature-dependent loss
equations • Inverter efficiency
Thermal Constraints
Full Numerical Design
Thermal Design
Feasibility / Trade-Off
Hardware
Elec
tric
al D
esig
n (O
RNL)
Design
Prototype Dev.
Validation
Electrical Design
High Temperature Air-Cooled Inverter
y = 0.0362x + 0.7628R² = 0.9982
0
0.5
1
1.5
2
2.5
3
0 10 20 30 40 50 60
Vf [V
]
Ic [A]
Diode Single Device
25°C
150°C
Linear (Series1)
*
*Chinthavali, M. “Wide Bandgap Materials.” Section 2.1. DOE 2010 Annual Progress Report for Advanced Power Electronics and Electric Motors. Susan A. Rogers. January 2011.
21 21
• Maximum junction temperature
• Coolant temperature
• Heat generation – Efficiency estimate – Analytical method – Switching model
• Heat exchanger thermal requirements
Thermal Constraints
Full Numerical Design
Thermal Design
Feasibility / Trade-Off
Hardware
Elec
tric
al D
esig
n (O
RNL)
Design
Prototype Dev.
Validation
Thermal Constraints
High Temperature Air-Cooled Inverter
22
Thermal Constraints
Full Numerical Design
Thermal Design
Feasibility / Trade-Off
Hardware
Elec
tric
al D
esig
n (O
RNL)
Design
Prototype Dev.
Validation
Feasibility/Trade-off
Single Fin CFD
Extrapolate system
Add fan
High Temperature Air-Cooled Inverter
23
Tchip=150°C - 200°C
Feasibility Study: Single-Channel Model Case Conjugate heat transfer model for a single channel
24
Extrapolation for Box Array Target heat dissipation 3.2 kW
• 3 by 3 array
• 9 by 1 array
Chip Temperature [°C] 150 200
Required inlet volume flow rate [cfm] 72 45
Pressure loss [Pa] 768 374
Chip Temperature [°C] 150 200
Required inlet volume flow rate [cfm] 150 102
Pressure loss [Pa] 143 84 0
1
2
3
4
5
0
0.1
0.2
0.3
0.4
0.5
0 50 100 150 200 250 300
Pres
sure
Loss
(kPa
)
CFMH
eat D
issi
patio
n (k
W)
0
1
2
3
4
5
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0 20 40 60 80 100 120
Pres
sure
Loss
(kPa
)
CFM
Pressure LossHeat Dissipation_150CHeat Dissipation_200C
Hea
t Dis
sipa
tion
(kW
)
Heat Dissipation 150oC Heat Dissipation 200oC
Pressure Loss
25
0
1
2
3
4
5
0
200
400
600
800
1000
0 50 100 150 200 250 300 350 400 450 500
Pres
sure
Dro
p [P
a]
Flow Rate Through 9-Box Array [CFM]
Heat
Dis
sipa
tion
[kW
]
Example System Flow Study 9-by-1 array design, 175°C
Heat
Pressure
26
0
1
2
3
4
5
0
200
400
600
800
1000
0 50 100 150 200 250 300 350 400 450 500
Pres
sure
Dro
p [P
a]
Flow Rate Through 9-Box Array [CFM]
Heat
Dis
sipa
tion
[kW
]
Example System Flow Study 9-by-1 array design, 175°C
Heat
Pressure Example Fan 50W
Cross point of the fan curve and pressure loss
27
0
1
2
3
4
5
0
200
400
600
800
1000
0 50 100 150 200 250 300 350 400 450 500
Pres
sure
Dro
p [P
a]
Flow Rate Through 9-Box Array [CFM]
Heat
Dis
sipa
tion
[kW
]
Maximum flow rate: 150 cfm
Example System Flow Study 9-by-1 array design, 175°C
Heat
Pressure Example Fan 50W
28
0
1
2
3
4
5
0
200
400
600
800
1000
0 50 100 150 200 250 300 350 400 450 500
Pres
sure
Dro
p [P
a]
Flow Rate Through 9-Box Array [CFM]
Heat
Dis
sipa
tion
[kW
]
Maximum flow rate: 150 cfm
Maximum heat dissipation: 3.5 kW
Example System Flow Study 9-by-1 array design, 175°C
Heat
Pressure Example Fan 50W
Go/No-Go 1
29 29
Thermal Constraints
Full Numerical Design
Thermal Design
Feasibility / Trade-Off
Hardware
Elec
tric
al D
esig
n (O
RNL)
Design
Prototype Dev.
Validation
Thermal Design
Design concept and balance-of-system testing
Model validation and design optimization
High Temperature Air-Cooled Inverter
30
Device Test Results
100 200 300 400 500 6000
20
40
60
80
100
120
140
Flow Rate [SCFM] ----9 by 1 Array Design
Qch
ip [W
]
150 oC, Center175 oC, Center200 oC, Center150 oC, 5mm175 oC, 5mm200 oC, 5mm
100 200 300 400 500 6005
10
15
20
Flow Rate [SCFM] ----9 by 1 Array Design
Hea
t Tra
nsfe
r Enh
ance
men
t (%
)
Center vs. 5mm
150 oC
175 oC
200 oC
31
Model Validation Less Than 6.5% error between model and experiment
• Chip temperature: 150°C, 175°C, 200°C • 5 W/mK heat transfer coefficient at the exterior walls • 70% thermal contact between device and fin
70%
0
200
400
600
800
1000
1200
1 2 3 4 5 6
Pres
sure
Dro
p (P
a)
Inlet Flow Rate (CFM)
Averaged error =5.2% Pressure U95= ± 0.5 %
40
50
60
70
80
90
100
110
120
130
1 2 3 4 5 6
Out
let T
empe
ratu
re (o C
)
Inlet Flow Rate (CFM)
Averaged error = 4.5% Temperature U95= ± 0.12 °C
0
20
40
60
80
100
120
1 2 3 4 5 6
Heat
Dis
sipa
tion
(W)
Inlet Flow Rate (CFM)
Test_150CTest_175CTest_200CModel_150CModel_175CModel_200C
Test 150oC Test 175oC Test 200oC Model 200oC Model 200oC Model 200oC
Averaged error =6.5% Power U95= ± 0.5 %
32
Module Design Improvement Parametric study: Chip location
Inle
t Flo
w R
ate
(CFM
)
Dimensionless Chip Location0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7
90
100
110
120
130
140
150
160
Minimum inlet flow rate is required. ( L* = 0.47)
L*= Lchip
Lmodule
L*=0.26 L*=0.47 L*=0.74
33 33
Thermal Constraints
Full Numerical Design
Thermal Design
Feasibility / Trade-Off
Hardware
Elec
tric
al D
esig
n (O
RNL)
Design
Prototype Dev.
Validation
Full Thermal Design
• Large conjugate heat transfer model to finalize prototype design
• Couple module model to balance-of-system test results
• Design drawings to build thermal management prototype
• System-level model
High Temperature Air Cooled Inverter Go/No-Go 2
34 34
Thermal Constraints
Full Numerical Design
Thermal Design
Feasibility / Trade-Off
Hardware
Elec
tric
al D
esig
n (O
RNL)
Design
Prototype Dev.
Validation
Hardware
• Build prototype thermal management system and test on bench
• Use results to feedback and improve design
• Test 2nd generation with electrical hardware
High Temperature Air Cooled Inverter Go/No-Go 3
35
Proposed Future Work
• FY13 • Build and test air-cooled module-level thermal
management with electrical design from ORNL • Test system-level thermal management system.
Demonstrate with lower power inverter from ORNL • Projected Go/No-Go Decision Point: If projected results
meet the DOE inverter target for volume and weight, pursue full build
• FY14 • Work with ORNL to build and test full air-cooled inverter
system • Projected Go/No-Go Decision Point: If test results meet
the DOE inverter targets for volume and weight, then vehicle-level demonstration will be pursued
36
Summary
• Overcome barriers to adoption of low-cost air-cooled heat sinks for power electronics; air remains the ultimate sink.
• Create system-level understanding and designs addressing advanced cooling technology, balance-of-system, and package thermal interactions; developing solutions from fundamental heat transfer, then system level design, to application − culminating in vehicle-level viability demonstration with research partners.
DOE
Mis
sion
Su
ppor
t Ap
proa
ch
37
Summary
• Showed 30% better heat transfer performance for synthetic jets than steady jets
• Using NREL’s system-level analysis method, found that it may be possible to approach liquid-cooling power density using advanced technology for air-cooling
• Completed device-level test bench, tested baseline fin design, and validated CFD model
• Completed initial design feasibility study
• Strengthened collaboration with ORNL for collaborative high-
temperature air-cooled inverter project • Researching advanced air-cooling technology in collaboration with GE,
Momentive, and Sapa • Interacting with auto OEMs and suppliers for test data, review, and
validation activities
Tech
nica
l Ac
com
plis
hmen
ts
Colla
bora
tions
38
For more information contact: Principal Investigator Jason A. Lustbader [email protected] Phone: (303)-275-4443 APEEM Task Leader Sreekant Narumanchi [email protected] Phone: (303)-275-4062
Acknowledgments:
• Susan Rogers and Steven Boyd U.S. Department of Energy
• Madhu Sudhan Chinthavali Oak Ridge National Laboratory
Team Members:
Kevin Bennion Xin He Charlie King Kyu-Jin Lee Tim Popp Stephen Harmon
Acknowledgments and Contact
39
References Slide 4 1. Honda Insight photograph: John P. Rugh, NREL 2. Honda power electronics photograph: Oak Ridge National Laboratory 3. Electric Mini Cooper photograph: DOE Advanced Vehicle Testing Activity & Idaho National Laboratory 4. AC Propulsion AC-150 photograph: Jason A. Lustbader & Dean Armstrong, NREL Slide 9 1. Synthetic jet photograph: Gopi Krishnan and Charlie King, NREL 2. Micro-fin photograph: Charlie King, NREL 3. Inverter photograph: Mark Mihalic, NREL 4. Inverter photograph: Mark Mihalic, NREL 5. Prius photograph: NREL PIX15141 Slides 10 1. Test bench photograph: Jason A. Lustbader, NREL 2. Constant temperature anemometer, Jason A. Lustbader, NREL Slide 13 1. Air cooling system test bench nozzle chamber: Tim Popp, NREL 2. Air cooling system test bench nozzle chamber: Tim Popp, NREL Slide 14 1. Inverter cold plate: Kevin Bennion, NREL 2. One leg of an inverter: Kevin Bennion, NREL Slides 27-29 1. Device-level test bench setup: Xin He, NREL
Technical Back-Up Slides
(Note: please include this “separator” slide if you are including back-up technical slides (maximum of five). These back-up technical slides will be available for your presentation and will be included in the DVD and Web PDF files released to the public.)
41
Air-Cooled Results Example design trade-offs
Example air cooling fins
Air-Cooled, Tinlet = 40°
C
Tj,max = 200°
C Tj,max = 150°
C Tj,max = 125°
C
Baseline
IGBT Diode
Tj,max
Coolant
Heat Exchanger
•450 VDC, 400 Arms, 0.5 power factor, and 125°C temperature limit •Power factor adjusted to provide 3:1 heating of insulated gate bipolar transistor (IGBT) and diode
42
Air-Cooled Results Example design trade-offs
Air-Cooled, Tinlet = 40°
C
Example Air-cooling fins
Tj,max = 200°
C Tj,max = 150°
C Tj,max = 125°
C
Baseline
Tj,max = 150°C
Tj,max = 125°C
Concept Spreader
IGBT Diode
Tj,max
Coolant
Heat Exchanger
•450 VDC, 400 Arms, 0.5 power factor, and 125°C temperature limit •Power factor adjusted to provide 3:1 heating of IGBT and diode
43
Air-Cooled Results Example design trade-offs
Example air cooling fins
Example liquid cooling
Air-Cooled, Tinlet = 40°
C
Tj,max = 125°
C Tj,max = 150°
C Tj,max = 200°
C
Baseline
Tj,max = 125°
C Tj,max = 150°
C
Concept Spreader
Liquid-Cooled, Tinlet = 70°
C
Tj,max = 125°
C
•450 VDC, 400 Arms, 0.5 power factor, and 125°C temperature limit •Power factor adjusted to provide 3:1 heating of IGBT and diode
44
Steady Jet Nusselt Number Correlations Correlations accurately fit experimental data
44
Dh: nozzle hydraulic diameter a, b, c: least-squares fit based on experimental data Kf: air thermal conductivity
• H/Dh=5
• H/Dh = 10, 15 and 20; y/x ≥ 8
0 500 1000 1500 2000Re
h =
Nu*
Kf/D
h (W/m
2 .k)
H/Dh=10
H/Dh = 15
H/Dh = 20
2nd Order Polynomial Fit
45
Correlating Synthetic and Steady Jet Heat Transfer Dynamic Reynolds number collapses steady and synthetic jet Nusselt number
Dynamic Reynolds Number Conventional Reynolds Number
45
• Unsteady heat transfer coefficient – A function of the changing rate of gas flow – Collapse to the steady jet heat transfer coefficient by introducing dynamic
correction term in Reynolds number • Introducing Dynamic Reynolds number for synthetic jet
C1 is a calibration constant, determined based on the experimental results
0 500 1000 1500 2000 2500Re
Nu
f = 200 Hzf = 300 Hzf = 400 Hzf = 500 Hzf = 600 HzSteady Jet
0 500 1000 1500 2000Dynamic Re
Nu
f = 200 Hzf = 300 Hzf = 400 Hzf = 500 Hzf = 600 HzSteady Jet