A Viable Pathway from Durability to Reliability and Safety · 2017-03-20 · A Viable Pathway from...
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A Viable Pathway from Durability to Reliability and Safety
Boryann (Bor Yann) Liaw, Ph.D. FECS Energy Storage and Advanced Vehicles Department Idaho National Laboratory Idaho Falls, ID 83415 February 22-23, 2017 Meeting the Challenge: 2017 ESS Safety Forum Santa Fe, NM
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Performance Science: Half-Cell to Vehicle & Pack
Vehicles, Energy Storage & Infrastructure
Half-Cell / Coin
Pouch / Cell
Pack
Vehicle
Development of Next-Generation Low Cost / Reliable Batteries: • Leverage unique INL capabilities to lead Performance
Science • Foundation: Battery Testing Center & Advanced
Vehicle Testing • Growth via strong partnerships with:
o DOE-EERE (USABC) o Automotive OEMs o Battery Developers
• Impact: Enabling / accelerating next gen low cost, safe and reliable batteries
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Performance, durability, reliability and safety in a proper perspective – Risk assessment & management
System Device
Durability Reliability Safety
Manuals • Installation • Operation
Policies & regulations • Protocols & procedures • Control, management & auditing
Education, training & enforcement
Catastrophic Events Abuse Tolerance
Human Factors: • Duty cycle &
schedule • Frequency
• Habit • Preference
• …
Environmental Factors: • Mechanical
• Electrical • Thermal
• Chemical
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Safety relies on proper cell design and deep understanding of cell performance
Materials selection & processing Electrode architecture
Cell balance Manufacturing quality
System control and management Preventive measures
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Pouch / Cell
Half-Cell / Coin
Design-Build-Test Paradigm • Forward-looking design principles – Insufficient to enable failure mode
and effect analysis (FMEA)
Pack
Sources: various literature documents
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Engineering approach FMEA
Prognostics Diagnostics
Quantitative Analysis
Durability Reliability
Safety
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Cell Variability – Origins
Chemistry: Redox Couple
Crystal Structure Architecture
Cell Balance Packaging
Voltage
Theoretical Capacity Rate capability Cycle life
Polarization resistance
Nominal capacity Cell specific capacity
Intrinsic Electrode Processing
Cell Manufacturing Δ Rate Capability
Δ Resistance Δ Capacity
Δ Weight
Δ PERFORMANCE
Morphology
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Experimental • 100 commercial AAA size 300 mAh Gr/LiCoO2 cells. • Charging regime: CC @C/2 + CV @4.2V and 0.5 hrs cutoff • Discharge regime: C/5, C/2 (RPT: C/25, C/3, 1C and 2C)
– High rate: Solartron 1470 – Low rate: Bio-logic VMP3
• Rest: 3 hrs è relaxed cell voltage (RCV) • SOC = Q/Q25 è pseudo-OCV vs. SOC curve • SOC determination by RCV
Int. J. Energy Res. 2010; 34:216–231
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Speciation in cell metrics to performance variations
W = 8.89±0.15 g (±1.69%)
RCV = 3.880±0.018V (±0.45%)
Q2 = 295.5±5.5 mAh (±1.9%)
Q5 = 298.6±4.7 mAh (±1.6%)
Int. J. Energy Res. 2010; 34:216–231
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EOC to BOD Int. J. Energy Res. 2010; 34:216–231
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BOD to EOD Int. J. Energy Res. 2010; 34:216–231
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EOD to Capacity Int. J. Energy Res. 2010; 34:216–231
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Capacity normalization to SOC Int. J. Energy Res. 2010; 34:216–231
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Cell variability in SOC during testing Int. J. Energy Res. 2010; 34:216–231
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Capacity ration (mAh/%SOC) Int. J. Energy Res. 2010; 34:216–231
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Impacts from DCR on SOC Int. J. Energy Res. 2010; 34:216–231
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Impacts from DCR on capacity Int. J. Energy Res. 2010; 34:216–231
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High fidelity of cell model and simulation
Int. J. Energy Res. 2010; 34:216–231
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Every cell in the pack can be modeled precisely Int. J. Energy Res. 2010; 34:216–231
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Cell variability in aging & capacity fading • Even with the best state-of-the-art cell design and manufacturing,
variability in endurance remains as an issue that impacts durability, reliability and safety
0 100 200 300 400 500 60040
50
60
70
80
90
100
Cycle #
Norm
alize
d Ca
pacit
y (%
)
Cell 1Cell 2Cell 3Cell 4Cell 5
6% spread Commercial 2.8 Ah G || LCO + NMC 18650 cells
2.82 2.84 2.86 2.88 2.90
2
4
6
8
10
12
Measured C/5 Capacity (Ah)
Cel
l Cou
nt
2863.09 ± 11.35 mAh (± 0.40%)
60 65 70 75 800
5
10
15
Measured DC Resistance (mOhms)
Cel
l Cou
nt
66.30 ± 2.45 mΩ (± 3.7%)
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Quantify Cell Variability over Aging
• 51 commercial G || LCO + NMC 2.8 Ah 18650 cells
Dubarry and Liaw, “Assessing Cell-To-Cell Variations in Commercial Batteries”, 218th ECS, Las Vegas, B2- #326: Battery Safety and Abuse Tolerance, 2010 M. Dubarry et al. Internat. J. Energy Res. 34 (2010) 216-231
0 100 200 300 400 500 60040
50
60
70
80
90
100
Cycle #
Norm
alize
d Ca
pacit
y (%
)
Cell 1Cell 2Cell 3Cell 4Cell 5
6% spread 0 100 200 300 400 500 60075
80
85
90
95
100
Cycle #
Nor
mal
ized
Cap
acity
(%)
Cell 1Cell 2Cell 3Cell 4Cell 5
Thermodynamics
Linear fade of low-rate capacity 2% spread
0.04 0.06 0.08 0.1 0.12 0.14-0.06
-0.04
-0.02
0
0.02
0.04
Re(Z)
-Im(Z
)
InitialCell 1Cell 2Cell 3Cell 4Cell 5
Kinetics
Resistance build-up 0 100 200 300 400 500 6000
10
20
30
40
50
60
Cycle #
Cap
acity
Los
s(%
)
KineticsLAMdeNELLICell #1Cell #2Cell #3Cell #4Cell #5
High rate
Low rate
Performance* LLI*(%)* LAMdeNE*(%)*
Base% 22.5% 14%
Under% 25.5%(!)% 16%(!)%
Over% 20.5%(")% 13%(")%
Batch& 22.5+3,2& 14+2,1&Avg&ra3o& 1.6& 1&
LAMdeNE=f(LLI)%
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