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feat : Larminie-Dicks 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.Static.Larminie_Dicks; | ||
test_vector = opem.Params.Larminiee_Standard_Vector; | ||
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% Model inputs | ||
test_vector{'A'} = 0.0587; % The slope of the Tafel line [V] | ||
test_vector{'E0'} = 1.178; % Fuel cell reversible no loss voltage [V] | ||
test_vector{'B'} = 0.0517; % Constant in the mass transfer term [V] | ||
test_vector{'RM'} = 0.0018; % The membrane and contact resistances [ohm] | ||
test_vector{'i_0'} = 0.00654; % Exchange current at which the overvoltage begins to move from zero [A] | ||
test_vector{'i_L'} = 100.0; % Limiting current [A] | ||
test_vector{'i_n'} = 0.23; % Internal current [A] | ||
test_vector{'N'} = 23; % Number of single cells | ||
test_vector{'i-start'} = 0.1; % Cell operating current start point [A] | ||
test_vector{'i-stop'} = 98; % Cell operating current end point [A] | ||
test_vector{'i-step'} = 0.1; % Cell operating current step | ||
test_vector{'Name'} = 'Larminiee_Test'; | ||
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% Run simulation | ||
test_mode = true; | ||
print_mode = true; | ||
report_mode = false; | ||
result = model.Static_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'})); | ||
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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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