1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
|
close all
try
python_version = pyversion;
fprintf(2,'** Python Version : %s\n',python_version);
catch e
fprintf(2,'** Error : %s\n',e.message);
end
% Import model
opem = py.importlib.import_module('opem');
model = opem.Dynamic.Padulles2;
test_vector = opem.Params.Padulles2_Standard_Vector;
% Model inputs
test_vector{'T'} = 343; % Fuel cell temperature [K]
test_vector{'E0'} = 0.6; % No load voltage [V]
test_vector{'N0'} = 5; % Number of cells
test_vector{'KO2'} = 0.0000211; % Oxygen valve constant [kmol.s^(-1).atm^(-1)]
test_vector{'KH2'} = 0.0000422; % Hydrogen valve constant [kmol.s^(-1).atm^(-1)]
test_vector{'KH2O'} = 0.000007716; % Water Valve Constant [kmol.s^(-1).atm^(-1)]
test_vector{'tH2'} = 3.37; % Hydrogen time constant [s]
test_vector{'tO2'} = 6.74; % Oxygen time constant [s]
test_vector{'tH2O'} = 18.418; % Water time constant [s]
test_vector{'B'} = 0.04777; % Activation voltage constant [V]
test_vector{'C'} = 0.0136; % Activation constant parameter [A^(-1)]
test_vector{'Rint'} = 0.00303; % Fuel cell internal resistance [ohm]
test_vector{'rho'} = 1.168; % Hydrogen-Oxygen flow rate
test_vector{'qH2'} = 0.0004; % Molar flow of hydrogen [kmol.s^(-1)]
test_vector{'i-start'} = 0.1; % Cell operating current start point [A]
test_vector{'i-stop'} = 100; % Cell operating current end point [A]
test_vector{'i-step'} = 0.1; % Cell operating current step
test_vector{'Name'} = 'Padulles2_Test';
% Run simulation
test_mode = true;
print_mode = true;
report_mode = false;
result = model.Dynamic_Analysis(test_vector,test_mode,print_mode,report_mode);
% Model outputs
P = cellfun(@vector_filter, cell(result{'P'}));
I = cellfun(@vector_filter, cell(result{'I'}));
V = cellfun(@vector_filter, cell(result{'V'}));
EFF = cellfun(@vector_filter, cell(result{'EFF'}));
Ph = cellfun(@vector_filter, cell(result{'Ph'}));
VE = cellfun(@vector_filter, cell(result{'VE'}));
PO2 = cellfun(@vector_filter, cell(result{'PO2'}));
PH2 = cellfun(@vector_filter, cell(result{'PH2'}));
PH2O = cellfun(@vector_filter, cell(result{'PH2O'}));
% Power-Stack
figure(1)
plot(I,P)
xlabel('I(A)')
ylabel('P(W)')
legend('Power-Stack')
% Voltage-Stack & Linear Approximation
figure(2)
plot(I,V)
xlabel('I(A)')
ylabel('V(V)')
hold on
plot(I,VE)
legend('Voltage-Stack','Linear-Apx')
% Efficiency
figure(3)
plot(I,EFF)
xlabel('I(A)')
ylabel('EFF')
legend('Efficiency')
% Power-Thermal
figure(4)
plot(I,Ph)
xlabel('I(A)')
ylabel('P(W)')
legend('Power(Thermal)')
% PO2
figure(5)
plot(I,PO2)
xlabel('I(A)')
ylabel('PO2(atm)')
legend('PO2')
% PH2
figure(6)
plot(I,PH2)
xlabel('I(A)')
ylabel('PH2(atm)')
legend('PH2')
% PH2O
figure(7)
plot(I,PH2O)
xlabel('I(A)')
ylabel('PH2O(atm)')
legend('PH2O')
|
