TuhinPresentation_0729.ppt
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A CONTROL STRATEGY FOR LOAD DISTRIBUTION IN
HYBRID FUEL CELL SYSTEMS
Dr. Tuhin Das Assistant Professor Rochester Institute of Technology Department of Mechanical Engineering Rochester, NY 14623
Fuel Cell System Overview
Modeling Methodology Hierarchical libraries
| 2. | Physical component models |
| 3. | Scalability and Flexibility |
System Model
No. of cells = 100
Fuel flow = 0.0035 moles/s
Air flow = 0.035 moles/s
Recirculation = 70% A nominal operating point obtained through simulations Simulation and Model Validation
Reforming Reactions
Internal Reforming & Electro-chemistry
Anode reactions Cathode reaction Reaction (b) at equilibrium
| 2. | Presence of Ni in anode makes |
| (e) much slower compared to | |
| (b) and (d) | |
| Electrochemical conversion of |
CO to CO2 negligible Observations:
Mass Balance Equations
Coupled dynamics Inputs
| 2. | Fuel flow |
| 1. | Current draw |
| 3. | Recirculation fraction |
Characterization Prediction of steady state conditions
| 2. | Prediction of transient behavior |
| 3. | Fuel optimization |
| 4. | Control design |
Critical variables:
Utilization
| 2. | Steam-to-carbon ratio |
| 3. | Cell voltage |
Utilization Definition Coordinate transformation:
With coupled dynamics, utilization is independent of reaction rates
2. Steady-state utilization can be predicted exactly:
Steam-to-Carbon Balance Definition With coupled dynamics, STCB is independent of reaction rates
2. Steady-state STCB can be predicted exactly:
Coordinate transformation:
Fuel Optimization Problem statement:
Given the … Current demand:
| 2. | Constraints: |
| Under what condition will a solution region exist in the space? |
2. What will be the minimum fuel operating condition?
Can we determine …
Optimum Fuel Operating Conditions Existence:
Minimum Fuel:
Transient Performance Considerations Fuel control based on steady-state analysis:
Considerations:
How well does the control respond to load transients in presence of fuel dynamics?
How much deviation is observed from target Utilization during transients and for what duration?
How much deviation is observed in STCR/STCB during transients and for what duration?
Fuel supply may be rate-limited or display a specific dynamic behavior (say 1st order dynamics) Fuel supply cannot respond instantaneously to sudden load changes.
Effect of Load Transients Fuel flow follows first order dynamics with time constant of 2s
0 100 200 300 0 100 200 300 140 160 180 200 time (s) time (s) time (s)
0 100 200 300 0 100 200 300 0 100 200 300
C el l c ur re nt
(A m ps
0.04
0.05
0.06
0.07
Fu fl ow
(m ol es /s
U til iz at io n
Effect of Load Transients Fuel flow follows first order dynamics with time constant of 2s
0 100 200 300
1.6
1.8
2.2
140 160 180 200 1.9
2.1
ST
R
Proposed Control Strategy Target fuel based on steady-state analysis:
FC load is based on measured fuel:
The FC load current is shaped dynamically due to feedback
Target fuel is based on the net current requirement
As the measured fuel flow approaches the target, the FC load current approaches the net current requirement
Open-Loop Results
Open-Loop Results
1.94
1.96
140 160 180 200
2.1
Hybrid Fuel Cell System Fuel Cell current draw:
Fuel flow based on required total power:
Current draw from battery/ultra-cap:
FC system
Li-Ion Battery
DC/DC
Conv
DC/DC
Conv
Fuel Cell System
Supplementary Source Batt/Ultra-cap
Control
Load
Preliminary Closed-Loop Results
150 200 250 300 350
0.98
0.984
0.988
0.992
79.5
80.5
Net power demand
FC power
Po w er (k
W ) FC current demand FC current draw
FC
c
Po w er (k
W
Battery power
SO
B te ry c
Preliminary Closed-Loop Results
80.1
80.2 time (s) time (s)
With FC current shaping
Without FC current shaping
Acknowledgement I would like to thank ONR for supporting this research.
I am grateful to Mr. Donald Hoffman, Mr. John Kuseian, Mr. John Heinzel, and Mr. Steven Miller of ONR for their valuable comments and suggestions.
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