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dfn_rg_multiple_run.m
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dfn_rg_multiple_run.m
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%% Doyle-Fuller-Newman Model with Reference Governor
% Created July 25, 2012 by Scott Moura
for rr = 1:6
clc;
clearvars -except rr
tic;
%% Model Construction
% Electrochemical Model Parameters
run params_dualfoil
%% JUST ADDED FROM params_bosch
p.R_f_n = 1.0000e-05;
p.R_f_p = 5.0000e-05;
p.n_Li_s = 2.5975;
%%
% Vector lengths
Ncsn = p.PadeOrder * (p.Nxn-1);
Ncsp = p.PadeOrder * (p.Nxp-1);
Nce = p.Nx - 3;
Nc = Ncsn+Ncsp+Nce;
Nn = p.Nxn - 1;
Np = p.Nxp - 1;
Nnp = Nn+Np;
Nx = p.Nx - 3;
Nz = 3*Nnp + Nx;
%% Input Signal
% Manual Data
% t = -2:p.delta_t:(60*60);
% Iamp = zeros(length(t),1);
% Iamp(t >= 0) = 35;
% Iamp(t >= (20*60)) = 0;
% Iamp(t >= 20) = 0;
% Iamp(t >= 30) = 10;
% Iamp(t >= 40) = 5;
% I = Iamp;
% Pulse Data
% t = -10:p.delta_t:(60);
% Ir(t >= 0) = -35;
% Ir(mod(t,20) < 10) = 350; %350
% Ir(end) = 0;
% Iamp = Ir;
% Fast Charge Data
% p.delta_t = 5;
% t = -10:p.delta_t:(60*120);
% Ir = zeros(length(t),1);
% Ir(t >= 0) = 2.5*(-35);
% name_data{1} = {'UDDSx2_14I_RG'};
% name_data{2} = {'US06x3_14I_RG'};
% name_data{3} = {'SC04x4_14I_RG'};
% name_data{4} = {'LA92x2_14I_RG'};
% name_data{5} = {'DC1_14I_RG'};
% name_data{6} = {'DC2_14I_RG'};
%
name_data{1} = {'UDDSx2_10I_VO_Vmax40'};
name_data{2} = {'US06x3_10I_VO_Vmax40'};
name_data{3} = {'SC04x4_14I_VO_Vmax40'};
name_data{4} = {'LA92x2_14I_VO_Vmax40'};
name_data{5} = {'DC1_14I_VO_Vmax40'};
name_data{6} = {'DC2_14I_VO_Vmax40'};
%
% name_data{1} = {'UDDSx2_12I_VO_Vmax40'};
% name_data{2} = {'US06x3_12I_VO_Vmax40'};
% name_data{3} = {'SC04x4_12I_VO_Vmax40'};
% name_data{4} = {'LA92x2_12I_VO_Vmax40'};
% name_data{5} = {'DC1_12I_VO_Vmax40'};
% name_data{6} = {'DC2_12I_VO_Vmax40'};
experimental_data{1} = {'data/UDDSx2_batt_ObsData.mat'};
experimental_data{2} = {'data/US06x3_batt_ObsData.mat'};
experimental_data{3} = {'data/SC04x4_batt_ObsData.mat'};
experimental_data{4} = {'data/LA92x2_batt_ObsData.mat'};
experimental_data{5} = {'data/DC1_batt_ObsData.mat'};
experimental_data{6} = {'data/DC2_batt_ObsData.mat'};
% Experimental Data
load(char(experimental_data{rr}))
% load('data/UDDSx2_batt_ObsData.mat');
% % load('data/US06x3_batt_ObsData.mat');
% % load('data/SC04x4_batt_ObsData.mat');
% % load('data/LA92x2_batt_ObsData.mat');
% % load('data/DC1_batt_ObsData.mat');
% % load('data/DC2_batt_ObsData.mat');
tdata = t;
Tfinal = tdata(end);
t = -2:p.delta_t:Tfinal;
Iamp = interp1(tdata,I,t,'spline',0);
Ah_amp = trapz(tdata,I)/3600;
Ir = 1.4*Iamp * (0.4*35)/Ah_amp;
%% I added
%cut the simulation time to 500 seconds
% t=-2:p.delta_t:500; %added this
% Ir=Ir(1:length(t));
%%
NT = length(t);
%% Initial Conditions & Preallocation
% Reference Govorner Current
I = zeros(NT,1);
beta = ones(NT,1);
% Solid concentration
% csn0 = 0.02 * p.c_s_n_max; % [mols/cm^3] 0.6 (60% SOC)
% csp0 = 0.88 * p.c_s_p_max; % [mols/cm^3] 0.74 (60% SOC)
V0 = 3.8;
% V0 = 3.9; %4.15
[csn0,csp0] = init_cs(p,V0);
c_s_n0 = zeros(p.PadeOrder,1);
c_s_p0 = zeros(p.PadeOrder,1);
% c_s_n0(1) = csn0 * (-p.R_s_n/3) * (p.R_s_n^4 / (3465 * p.D_s_n^2));
% c_s_p0(1) = csp0 * (-p.R_s_p/3) * (p.R_s_p^4 / (3465 * p.D_s_p^2));
%%%%% Initial condition based on Jordan form
c_s_n0(3) = csn0;
c_s_p0(3) = csp0;
%%%%%
c_s_n = zeros(Ncsn,NT);
c_s_p = zeros(Ncsp,NT);
c_s_n(:,1) = repmat(c_s_n0, [Nn 1]);
c_s_p(:,1) = repmat(c_s_p0, [Nn 1]);
% Electrolyte concentration
c_e = zeros(Nx,NT);
c_e(:,1) = 2e3 * ones(Nx,1); % 1e3 (not discharged)
c_ex = zeros(Nx+4,NT);
c_ex(:,1) = c_e(1,1) * ones(Nx+4,1);
% Temperature
T = zeros(NT,1);
T(1) = p.T_amp;
% Solid Potential
Uref_n0 = refPotentialAnode(p, csn0(1)*ones(Nn,1) / p.c_s_n_max);
Uref_p0 = refPotentialCathode(p, csp0(1)*ones(Np,1) / p.c_s_p_max);
phi_s_n = zeros(Nn,NT);
phi_s_p = zeros(Np,NT);
phi_s_n(:,1) = Uref_n0;
phi_s_p(:,1) = Uref_p0;
% Electrolyte Current
i_en = zeros(Nn,NT);
i_ep = zeros(Np,NT);
% Electrolyte Potential
phi_e = zeros(Nx,NT);
% Molar Ionic Flux
jn = zeros(Nn,NT);
jp = zeros(Np,NT);
% Surface concentration
c_ss_n = zeros(Nn,NT);
c_ss_p = zeros(Np,NT);
c_ss_n(:,1) = repmat(csn0, [Nn 1]);
c_ss_p(:,1) = repmat(csp0, [Np 1]);
% Volume average concentration
c_avg_n = zeros(Nn,NT);
c_avg_p = zeros(Np,NT);
c_avg_n(:,1) = repmat(csn0, [Nn 1]);
c_avg_p(:,1) = repmat(csp0, [Np 1]);
SOC = zeros(NT,1);
SOC(1) = mean(c_avg_n(:,1)) / p.c_s_n_max;
% Overpotential
eta_n = zeros(Nn,NT);
eta_p = zeros(Np,NT);
% Constraint Outputs
c_e_0p = zeros(NT,1);
eta_s_Ln = zeros(NT,1);
% Voltage
Volt = zeros(NT,1);
Volt(1) = phi_s_p(end,1) - phi_s_n(1,1);
% Conservation of Li-ion matter
nLi = zeros(NT,1);
nLidot = zeros(NT,1);
% Stats
newtonStats.iters = zeros(NT,1);
newtonStats.relres = cell(NT,1);
newtonStats.condJac = zeros(NT,1);
% Initial Conditions
x0 = [c_s_n(:,1); c_s_p(:,1); c_e(:,1); T(1)];
z0 = [phi_s_n(:,1); phi_s_p(:,1); i_en(:,1); i_ep(:,1);...
phi_e(:,1); jn(:,1); jp(:,1)];
%% Preallocate
x = zeros(length(x0), NT);
z = zeros(length(z0), NT);
I(1) = Ir(1);
x(:,1) = x0;
z(:,1) = z0;
%% Precompute data
% Solid concentration matrices
[A_csn,B_csn,A_csp,B_csp,C_csn,C_csp] = c_s_mats(p);%check
p.A_csn = A_csn;
p.B_csn = B_csn;
p.A_csp = A_csp;
p.B_csp = B_csp;
p.C_csn = C_csn;
p.C_csp = C_csp;
% Electrolyte concentration matrices
[~,~,C_ce] = c_e_mats_federico(p,c_ex); %check
p.C_ce = C_ce;
% Solid Potential
[F1_psn,F1_psp,F2_psn,F2_psp,G_psn,G_psp,...
C_psn,C_psp,D_psn,D_psp] = phi_s_mats(p);
p.F1_psn = F1_psn;
p.F1_psp = F1_psp;
p.F2_psn = F2_psn;
p.F2_psp = F2_psp;
p.G_psn = G_psn;
p.G_psp = G_psp;
p.C_psn = C_psn;
p.C_psp = C_psp;
p.D_psn = D_psn;
p.D_psp = D_psp;
% Electrolyte Current
[F1_ien,F1_iep,F2_ien,F2_iep,F3_ien,F3_iep] = i_e_mats(p);
p.F1_ien = F1_ien;
p.F1_iep = F1_iep;
p.F2_ien = F2_ien;
p.F2_iep = F2_iep;
p.F3_ien = F3_ien;
p.F3_iep = F3_iep;
% Jacobian
[f_x, f_z, g_x, g_z] = jac_dfn_pre(p);
p.f_x = f_x;
p.f_z = f_z;
p.g_x = g_x;
p.g_z = g_z;
clear f_x f_z g_x g_z
%% Integrate!
disp('Simulating DFN Model...');
for k = 1:(NT-1)
% Reference Governor
if(Ir(k) ~= 0)
beta(k) = bisection_dfn(p,x(:,k),z(:,k),I(k),Ir(k)); %changed to federico version NS July20
else
beta(k) = 1;
end
I(k+1) = beta(k) * Ir(k);
% Current
if(k == 1)
Cur_vec = [I(k), I(k), I(k+1)];
else
Cur_vec = [I(k-1), I(k), I(k+1)];
end
% Step-forward in time
[x(:,k+1), z(:,k+1), stats] = cn_dfn_federico(x(:,k),z(:,k),Cur_vec,p);%check
% Parse out States
c_s_n(:,k+1) = x(1:Ncsn, k+1);
c_s_p(:,k+1) = x(Ncsn+1:Ncsn+Ncsp, k+1);
c_e(:,k+1) = x(Ncsn+Ncsp+1:Nc, k+1);
T(k+1) = x(end, k+1);
phi_s_n(:,k+1) = z(1:Nn, k+1);
phi_s_p(:,k+1) = z(Nn+1:Nnp, k+1);
i_en(:,k+1) = z(Nnp+1:Nnp+Nn, k+1);
i_ep(:,k+1) = z(Nnp+Nn+1:2*Nnp, k+1);
phi_e(:,k+1) = z(2*Nnp+1:2*Nnp+Nx, k+1);
jn(:,k+1) = z(2*Nnp+Nx+1:2*Nnp+Nx+Nn, k+1);
jp(:,k+1) = z(2*Nnp+Nx+Nn+1:end, k+1);
% i_en(:,k+1)
% i_ep(:,k+1)
%
% phi_s_n(:,k+1)
% phi_s_p(:,k+1)
%
% phi_e(:,k+1)
%
% jn(:,k+1)
% jp(:,k+1)
newtonStats.iters(k+1) = stats.iters;
newtonStats.relres{k+1} = stats.relres;
% newtonStats.condJac(k+1) = stats.condJac;%check
% Output data
[~, ~, y] = dae_dfn_federico(x(:,k+1),z(:,k+1),I(k+1),p);%check
c_ss_n(:,k+1) = y(1:Nn);
c_ss_p(:,k+1) = y(Nn+1:Nnp);
c_avg_n(:,k+1) = y(Nnp+1:Nnp+Nn);
c_avg_p(:,k+1) = y(Nnp+Nn+1 : 2*Nnp);
SOC(k+1) = mean(c_avg_n(:,k+1)) / p.c_s_n_max;
c_ex(:,k+1) = y(2*Nnp+1:2*Nnp+Nx+4);
eta_n(:,k+1) = y(2*Nnp+Nx+4+1 : 2*Nnp+Nx+4+Nn);
eta_p(:,k+1) = y(2*Nnp+Nx+4+Nn+1 : 2*Nnp+Nx+4+Nn+Np);
c_e_0p(k) = y(end-4);
eta_s_Ln(k) = y(end-3);
Volt(k+1) = y(end-2);
nLi(k+1) = y(end-1);
nLidot(k+1) = y(end);
eta_s_n = phi_s_n - phi_e(1:Nn,:);
eta_s_p = phi_s_p - phi_e(end-Np+1:end, :);
fprintf(1,'Time : %3.2f sec | Current : %2.4f A/m^2 | SOC : %1.3f | Voltage : %2.4fV\n',...
t(k),I(k+1),SOC(k+1),Volt(k+1));
if(Volt(k+1) < p.volt_min)
fprintf(1,'Min Voltage of %1.1fV exceeded\n',p.volt_min);
beep;
break;
elseif(Volt(k+1) > p.volt_max)
fprintf(1,'Max Voltage of %1.1fV exceeded\n',p.volt_max);
beep;
break;
% elseif(any(c_ex(:,k) < 1))
% fprintf(1,'c_e depleted below 1 mol/m^3\n');
% beep;
% break;
end
end
%% Outputs
disp('Simulating Output Vars...');
simTime = toc;
fprintf(1,'Simulation Time : %3.2f min\n',simTime/60);
%% Plot Results
save((char(name_data{rr})))
end