Research Repot on A123 Battery Modeling
Post on 03-Jun-2018
222 Views
Preview:
Transcript
8/13/2019 Research Repot on A123 Battery Modeling
1/30
1
Research Repot on A123 Battery
Modeling
Task 4 Members:
Faculty: Dr. Mo-Yuen Chow, Dr. Srdjan LukicResearch Assistants: Lei Wang, Arvind Govindaraj
http://www.ncsu.edu/8/13/2019 Research Repot on A123 Battery Modeling
2/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Presentation Outline
2
Research Objectives
Battery Properties
Battery Model
Future Research
8/13/2019 Research Repot on A123 Battery Modeling
3/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Research Objectives
Battery Modeling
Develop Charging Algorithms
3
8/13/2019 Research Repot on A123 Battery Modeling
4/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Presentation Outline
4
Research Objectives
Overview of battery properties
Battery Model
Future Research
8/13/2019 Research Repot on A123 Battery Modeling
5/30
Future Renewable Electr ic Energy Delivery and Management System s Center
PHEV Battery Operation Modes
Charge-depleting mode: vehicle uses battery poweruntil SOC reaches a predetermined level
Charge-sustaining mode: uses both battery and engine
power
Blended mode: charge-depleting mode with enginepower to reach high speed
Ex. 90% of time discharging,
10% charging
Ex. 30% discharging, 70%
charging
8/13/2019 Research Repot on A123 Battery Modeling
6/30
Future Renewable Electr ic Energy Delivery and Management System s Center
A123 Lithium Ion ANR26650M1
ANR26650M1 Datasheet AUGUST 2008
25C, C/30
< 20A tested
SoH
8/13/2019 Research Repot on A123 Battery Modeling
7/30Future Renewable Electr ic Energy Delivery and Management System s Center
A123 Lithium Ion ANR26650M1
Not available
Maximum discharge: 70A
Model may fail at high discharge current due
to irregular shape of the discharge curve
Operating range: -30c to 60c
Performance under different temperatures
was not testedDischarge curve shape changes at extreme
temperatures, thus may not be described by
model equations
First Step: Have a model that satisfies the nominal condition
8/13/2019 Research Repot on A123 Battery Modeling
8/30Future Renewable Electr ic Energy Delivery and Management System s Center
Quantify Battery
State of Charge (SoC): 100% > SoC > 0%
SoC = (remaining capacity) / (capacity of fully chargedbattery)
SoC = (remaining capacity) / (Total amount of usablecharge at a given C-rate)
SoC = (CnQb) / Cn Cn: nominal capacity Qb: net discharge
Remaining Capacity Usable Capacity
Usable capacity depends on the cutoff voltage
Usable capacity depends on the age of the battery
Capacity of fully charged battery Total amount of usable
charge at a given C-rate Cn (C/30)
8
8/13/2019 Research Repot on A123 Battery Modeling
9/30Future Renewable Electr ic Energy Delivery and Management System s Center
Usable Capacity
9
0 1000 2000 3000 4000 5000 6000 7000 80002.6
2.8
3
3.2
3.4
3.6
3.8
4
Time (s)
Voltage
(v)
T=7738s
Discharge Rate = 1A7738s x 1A / 3600s = 2.149Ah
0 200 400 600 800 1000 1200 1400 16001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
Time (s)
Voltage
(v)
Discharge Rate = 5A
1537s x 5A / 3600s = 2.136Ah
T=1537s
0 100 200 300 400 500 600 700 8001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
Time (s)
Voltage
(v)
Discharge Rate = 10A
1389s x 10A / 3600s = 2.1215Ah
T=1389s
0 50 100 150 200 250 300 350 4001.8
2
2.2
2.4
2.6
2.8
3
Time (s)
Voltage
(v)
Discharge Rate = 20A
683s x 20A / 3600s = 2.098Ah
T=683s
8/13/2019 Research Repot on A123 Battery Modeling
10/30Future Renewable Electr ic Energy Delivery and Management System s Center
Usable Capacity vs Discharge rate
10
2.06
2.11
2.16
2.21
2.26
2.31
0 5 10 15 20 25
Rated Capacity at 2.3Ah (using C/30
discharging rate)
8/13/2019 Research Repot on A123 Battery Modeling
11/30Future Renewable Electr ic Energy Delivery and Management System s Center
Quantify State of Health (SoH)
Full Discharge Test (SOH)SoH = (measured capacity) /(rated capacity)
1 > SoH > 0 A battery is at its end of lifetime at SoH of 0.8 .(EnergyInstitute Battery Research Group)
Increase in internal resistance resulting active powerloss
Increase in self discharge
Counting charge/discharge cycles
Voltage drop during initial discharge
Two-Pulse Load Test
11
8/13/2019 Research Repot on A123 Battery Modeling
12/30Future Renewable Electr ic Energy Delivery and Management System s Center
State of Function (SoF)
Capability of the battery to perform a specificduty which is relevant for the functionality of a
system powered by the battery.
For example: Use 20A to discharge a battery
after 683s battery reaches the cutoff voltage 2v Battery still has the capacity left to be discharged by 10A
SoF is a function of the batterys SoC, SoH and
operating temperature.
12
8/13/2019 Research Repot on A123 Battery Modeling
13/30Future Renewable Electr ic Energy Delivery and Management System s Center
Presentation Outline
13
Research Objectives
Battery Properties
Battery Model
Model results and analysis
Future Research
8/13/2019 Research Repot on A123 Battery Modeling
14/30Future Renewable Electr ic Energy Delivery and Management System s Center
Discharging Results
0 2000 4000 6000 8000 10000 12000 14000
1.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
3.8
1
2
3
4
51A
0 500 1000 1500 2000 2500 3000
1.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
1
2
3
4
5
5A
0 200 400 600 800 1000 1200 1400
1.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
1
2
3
4
5
10A
0 100 200 300 400 500 600 700
1.8
2
2.2
2.4
2.6
2.8
3
3.2
1
2
3
4
5
20A
8/13/2019 Research Repot on A123 Battery Modeling
15/30Future Renewable Electr ic Energy Delivery and Management System s Center
Discharging Results - Average
15
0 1000 2000 3000 4000 5000 6000 7000 80002.6
2.8
3
3.2
3.4
3.6
3.8
4
Time (s)
Voltage
(v)
0 200 400 600 800 1000 1200 1400 16001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
Time (s)
Voltage
(v)
0 100 200 300 400 500 600 700 8001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
Time (s)
Voltage
(v)
0 50 100 150 200 250 300 350 4001.8
2
2.2
2.4
2.6
2.8
3
Time (s)
Voltage
(v)
8/13/2019 Research Repot on A123 Battery Modeling
16/30Future Renewable Electr ic Energy Delivery and Management System s Center
Temperature vs Time
Temperature vs. Time
0
5
10
15
20
25
30
35
40
45
0 5 10 15 20 25 30 35 40 45
Time (s)
Temperatur
1A
5A
10A
20A
8/13/2019 Research Repot on A123 Battery Modeling
17/30
8/13/2019 Research Repot on A123 Battery Modeling
18/30Future Renewable Electr ic Energy Delivery and Management System s Center
Constant Current Discharging
@ 20A, 10A, 5A, 1A
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 11.5
2
2.5
3
3.5
4A123 High Power Lithium Ion ANR26650 Cell Discharge Curves
R2_01A = 0.99
R2_05A = 0.97
R2_10A = 0.93
R2_20A = 0.85
Y: observed dataF: model data
8/13/2019 Research Repot on A123 Battery Modeling
19/30Future Renewable Electr ic Energy Delivery and Management System s Center
Voltage Error: Actual voltageestimated
0 2000 4000 6000 8000 10000 12000 14000-0.14
-0.12
-0.1
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
1A:
8/13/2019 Research Repot on A123 Battery Modeling
20/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Model 20% - 80% of SOC
At a low state of charge: nearly all the charging
current is absorbed by the chemical reaction.
Above 80% of SOC, more and more energy
goes into heat.reduce current for the last 20%
8/13/2019 Research Repot on A123 Battery Modeling
21/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Model output: Smooth line
21
0 2000 4000 6000 8000 10000 12000 140001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
3.8
8/13/2019 Research Repot on A123 Battery Modeling
22/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Measured
22
4000 4200 4400 4600 4800 5000 5200 5400 5600 5800 60003.23
3.235
3.24
3.245
3.25
3.255
3.26
3.265
3.27
Zoomed in
8/13/2019 Research Repot on A123 Battery Modeling
23/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Interval Discharge
5A for 60s & 20A for 30s
0 100 200 300 400 500 600 700 800 9001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
Time (s)
Voltage
(V)
Experimental data
Model output
Purpose: When driving, different discharging currents are applied to the battery
8/13/2019 Research Repot on A123 Battery Modeling
24/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Hysteresis
Hysteresis slowly changes as the cell
is charged or discharged
Hysteresis is considerably larger at
low temperatures.
8/13/2019 Research Repot on A123 Battery Modeling
25/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Modeling hysteresis effect
constant tunes the rate of decay
M is a function that gives the maximum polarization due to hysteresis as a function of
SOC and the rate-of-change of SOC.
8/13/2019 Research Repot on A123 Battery Modeling
26/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Relaxation effect
If a cell is pulsed with current, it takes time for thevoltage to converge to its steady-state level.Relaxation effect may be implemented as a low-passfilter on ik
The output equation had the form:
8/13/2019 Research Repot on A123 Battery Modeling
27/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Simulink Model
filter
i filter
To Workspace
VTSubsystem
i/cn hysteresis
Scope 5
Scope 4
Scope 3
Scope 2
Scope 1
Scope
Pulse
Generator 1
Pulse
Generator
Battery Cell
ik
i/cn
ocv
Add2
Add 1
Add
8/13/2019 Research Repot on A123 Battery Modeling
28/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Result
0 100 200 300 400 500 600 700 800 9001.8
2
2.2
2.4
2.6
2.8
3
3.2
3.4
3.6
Time (s)
Voltage
(V)
Experimental data
Model output
8/13/2019 Research Repot on A123 Battery Modeling
29/30
Future Renewable Electr ic Energy Delivery and Management System s Center
Future Work
Pulse Discharging
SoH, SoF
Charging Algorithms
Optimum power usage
29
8/13/2019 Research Repot on A123 Battery Modeling
30/30
30
Acknowledgement
Please use one of the following three languages
1. This work was supported by ERC Program ofthe National Science Foundation under AwardNumber EEC-08212121.
2. This work made use of ERC shared facilitiessupported by the National Science Foundationunder Award Number EEC-08212121.
3. This work was partially supported by theNational Science Foundation (NSF) underAward Number EEC-08212121.
top related