feat : Chamberline-Kim matlab file added #119

Documents/MATLAB/Chamberline_Kim.m

@@ -0,0 +1,72 @@
+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.Static.Chamberline_Kim;
+test_vector = opem.Params.Chamberline_Standard_Vector;
+
+% Model inputs
+test_vector{'A'} =  50.0; % Active area [cm^2]
+test_vector{'E0'} =  0.982; % Open circuit voltage [V]
+test_vector{'b'} =  0.0689; % Tafel's parameter for the oxygen reduction [V]
+test_vector{'R'} =  0.328; % Resistance [ohm.cm^2]
+test_vector{'m'} = 0.000125; % Diffusion's parameters [V]
+test_vector{'n'} = 9.45; % Diffusion's parameters [(A^-1)(cm^2)]
+test_vector{'N'} = 1; % Number of single cells
+test_vector{'i-start'} = 1; % Cell operating current start point [A]
+test_vector{'i-stop'} = 42.5; % Cell operating current end point [A]
+test_vector{'i-step'} = 0.1; % Cell operating current step
+test_vector{'Name'} = 'Chamberline_Test';
+
+% Run simulation
+test_mode = true;
+print_mode = true;
+report_mode = false;
+result = model.Static_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'}));
+
+
+% 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)')
+