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feat : Padulles1 matlab file added #119
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close all | ||
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try | ||
python_version = pyversion; | ||
fprintf(2,'** Python Version : %s\n',python_version); | ||
catch e | ||
fprintf(2,'** Error : %s\n',e.message); | ||
end | ||
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% Import model | ||
opem = py.importlib.import_module('opem'); | ||
model = opem.Dynamic.Padulles1; | ||
test_vector = opem.Params.Padulles_Standard_Vector; | ||
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% Model inputs | ||
test_vector{'T'} = 343; % Fuel cell temperature [K] | ||
test_vector{'E0'} = 0.6; % No load voltage [V] | ||
test_vector{'N0'} = 88; % 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{'tH2'} = 3.37; % Hydrogen time constant [s] | ||
test_vector{'tO2'} = 6.74; % Oxygen 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; % 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'} = 'PadullesI_Test'; | ||
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% Run simulation | ||
test_mode = true; | ||
print_mode = true; | ||
report_mode = false; | ||
result = model.Dynamic_Analysis(test_vector,test_mode,print_mode,report_mode); | ||
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% 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'})); | ||
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% Power-Stack | ||
figure(1) | ||
plot(I,P) | ||
xlabel('I(A)') | ||
ylabel('P(W)') | ||
legend('Power-Stack') | ||
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% 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') | ||
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% Efficiency | ||
figure(3) | ||
plot(I,EFF) | ||
xlabel('I(A)') | ||
ylabel('EFF') | ||
legend('Efficiency') | ||
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% Power-Thermal | ||
figure(4) | ||
plot(I,Ph) | ||
xlabel('I(A)') | ||
ylabel('P(W)') | ||
legend('Power(Thermal)') | ||
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% PO2 | ||
figure(5) | ||
plot(I,PO2) | ||
xlabel('I(A)') | ||
ylabel('PO2(atm)') | ||
legend('PO2') | ||
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% PH2 | ||
figure(6) | ||
plot(I,PH2) | ||
xlabel('I(A)') | ||
ylabel('PH2(atm)') | ||
legend('PH2') | ||
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