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0c0a4be | 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 | function [plotData01,plotData02,plotData03,p3,Pi3,Ai3,t3] = Battery_TempPredUsingNN_driveProfile(simulationParam,driveProfile_X,alpha)
neuralNetTS=simulationParam(1,1);
cellCapacity=simulationParam(1,2);
nDelay=simulationParam(1,3);
ambient=simulationParam(1,4);
numParallelCells=simulationParam(1,5);
% Read trained model from 'alpha'
normalizationVar=alpha.trainedNet{3,1};
useNetwork=alpha.trainedNet{1,1};
mu_tmp=normalizationVar(1,1);
sig_tmp=normalizationVar(1,2);
mu_pow=normalizationVar(1,3);
sig_pow=normalizationVar(1,4);
tempRef=normalizationVar(1,5);
%
lenSeries=max(size(driveProfile_X.validate_X.Data));
% Create output array for storing temperature predictions and initialize
% the first 3 timestep values
predict_temp=ones(1,lenSeries);
predict_temp(1,1:nDelay)=ambient;
% Create an array to store state of charge values from coulomb counting
predict_soc=ones(1,lenSeries);
% Input data based on current and voltage sensing
verifySeries_pow=((driveProfile_X.validate_X.Data(1:lenSeries,1).*...
driveProfile_X.validate_X.Data(1:lenSeries,4)-mu_pow)./sig_pow)';
% Coulomb counting
verifySeries_soc=(driveProfile_X.validate_X.Data(1:lenSeries,1)'.*...
neuralNetTS)/(3600*numParallelCells);
cumulativeAhr=zeros(1,lenSeries);
cumulativeAhr(1,1)=verifySeries_soc(1,1);
for itr=2:lenSeries
cumulativeAhr(1,itr)=sum(verifySeries_soc(1,1:itr-1));
end
verifySeries_soc=1+cumulativeAhr/cellCapacity;
% Normalize data
verifySeries_tmp=predict_temp-tempRef;
verifySeries_tmp=(verifySeries_tmp-mu_tmp)/mu_tmp;
verifySeries_pow=(verifySeries_pow-mu_pow)/sig_pow;
verify_NARX_Y=verifySeries_tmp;
verify_NARX_X2=[verifySeries_pow;verifySeries_soc];
% Store data in cell arrays
verifyNARX_X=con2seq(verify_NARX_X2);
verifyNARX_Y=con2seq(verify_NARX_Y);
[p3,Pi3,Ai3,t3]=preparets(useNetwork,verifyNARX_X,{},verifyNARX_Y);
yp3=useNetwork(p3,Pi3,Ai3);
%
% Plot
figure(1);
TS=size(t3,2);
plotData01=[1:lenSeries;driveProfile_X.validate_X.Data(1:lenSeries,2)'];
plotData02=[1:TS;cell2mat(yp3).*sig_tmp+mu_tmp+tempRef];
plotData03=[1:lenSeries;driveProfile_X.validate_X.Data(1:lenSeries,1)'];
end |