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sal_datapoint.m
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executable file
·307 lines (252 loc) · 11.8 KB
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classdef sal_datapoint
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% sal_datapoint - class containing a complete set of data and notes %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% sal_datapoint - version 0.9 - Jacob E. McKenzie - mofified: 01/06/14
%
% properties:
% - notes [struct] : structure containing notes
% - dset [sal_dataset] : vector of data sets containing measurements
%
% methods:
% - sal_datapoint - constructor function, pass in a path to a lvb file
% and the data within that file will be returned as a
% sal_datapoint. If multiple arguments are specified
% they are taken as the datapoint properties.
%
% notes:
% current version does not include any error checking. Undocumented
% member functions are experimental and they should not be assumed
% correct (or even functional). Member functions that operate on an
% individual entity of type sal_datapoint should be defined within,
% whenever possible functions should be coded to accept the most general
% engine data possible and the method should ensure that the correct
% data is supplied to these functions.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
properties
notes
dset
end
methods
%%%
%%% constructor function
%%%
function dpoint = sal_datapoint(varargin)
% read from file
if length(varargin) == 1
fname = varargin{1};
%%% file setup
fid = fopen(fname,'r','b'); % open file
fseek(fid,0,1); % seek to eof
eofloc = ftell(fid); % store eof location to eofloc
fseek(fid,0,-1); % seek to bof
%%% read notes
notes = lvb_readarr(fid,1,@lvb_readnotes);
for i = 1:size(notes,1)
eval(['dpoint.notes.' notes{i,2} ' = sal_datanote(notes(i,:));'])
end
%%% read datasets
dpoint.dset = sal_dataset.empty(1,0);
i = 1;
while ftell(fid) ~= eofloc
dpoint.dset(i) = sal_dataset(fid);
i = i+1;
end
fclose(fid);
% assign properties form arguments
else
notes = varargin{1};
dpoint.dset = varargin{2};
for i = 1:length(notes)
eval(['dpoint.notes.' notes(i).varname ' = notes(i);'])
end
end
end
%%%
%%% alias functions (search and filtering functions)
%%%
%%% getdata - find data by sampling type and var name, return data
function data = getdata(dpoint, dsamp, dname)
dset_ind = find(strcmp(dsamp,[dpoint.dset(:).sampling]));
data_ind = find(strcmp(dname,{dpoint.dset(dset_ind).chan(:).varname}));
data = dpoint.dset(dset_ind).chan(data_ind).data;
end
%%% getdatac - find data by sampling type and var name, return data as col
function data = getdatac(dpoint, dsamp, dname)
dset_ind = find(strcmp(dsamp,[dpoint.dset(:).sampling]));
data_ind = find(strcmp(dname,{dpoint.dset(dset_ind).chan(:).varname}));
data = dpoint.dset(dset_ind).chan(data_ind).data(:);
end
%%% listdata - list available data for a given sampling type
function list = listdata(dpoint, dsamp)
dset_ind = strcmp(dsamp,[dpoint.dset(:).sampling]);
list = {dpoint.dset(dset_ind).chan(:).varname};
end
%%% listsets - list the types of sampling saved in this datapoint
function list = listsets(dpoint)
for i = 1:length(dpoint.dset)
list{i} = dpoint.dset(i).sampling{:};
end
end
%%%
%%% data reduction functions
%%%
%%% calculate brake fuel conversion efficiency
function eff = bfce(dpoint)
tau_b = mean(dpoint.getdata('4/CAD','tau_b'));
fuel_p = mean(dpoint.getdata('4/CAD','prroh_w'));
fuel_pw = mean(dpoint.getdata('4/CAD','ti_l'));
W = tau_b*4*pi;
[mf, LHV] = sal_fuelinj(fuel_p,fuel_pw,'HF0437');
eff = mean(W/4./(mf*LHV));
end
%%% calculate indicated fuel conversion efficiency
function [eff_g, eff_n] = ifce(dpoint)
cyl1p = dpoint.getdata('4/CAD','cyl1p');
r1map = dpoint.getdata('4/CAD','r1map');
ca = dpoint.getdata('4/CAD','theta');
fuel_p = mean(dpoint.getdata('4/CAD','prroh_w'));
fuel_pw = mean(dpoint.getdata('4/CAD','ti_l'));
[mf, LHV] = sal_fuelinj(fuel_p,fuel_pw,'HF0437');
cyl1p = sal_peg(cyl1p,r1map);
[~, dv, vd] = sal_cylv(ca);
[gimep, nimep] = sal_mep(cyl1p, dv, vd);
%eff_g = mean(gimep*10^5*vd./(mf*LHV));
%eff_n = mean(nimep*10^5*vd./(mf*LHV));
eff_g = gimep*10^5*vd./(mf*LHV);
eff_n = nimep*10^5*vd./(mf*LHV);
end
%%% calculate heat release statistics
function [ca10, ca50, ca90] = hrstat(dpoint)
ca = dpoint.getdata('4/CAD','theta');
cyl1p = dpoint.getdata('4/CAD','cyl1p');
r1map = dpoint.getdata('4/CAD','r1map');
spk = dpoint.notes.theta_spk.value;
cyl_v = sal_cylv(ca(:,1));
cyl1p = sal_peg(cyl1p,r1map);
ca10 = [];
ca50 = [];
ca90 = [];
for i = 1:length(ca(1,:))
[mfb(:,i), cad10, cad50, cad90] = sal_mfb(cyl1p(:,i),cyl_v,spk,'debug');
%plot(mfb),hold on
ca10 = [ca10 cad10];
ca50 = [ca50 cad50];
ca90 = [ca90 cad90];
end
%ca10 = diff(mean(mfb'))/(1/4);
%plot(ca10)
%ca10 = mean(cad10);
%ca50 = mean(cad50);
%ca90 = mean(cad90);
end
%%% calculate meps
function [gimep, nimep] = mep(dpoint)
cyl1p = dpoint.getdata('4/CAD','cyl1p');
r1map = dpoint.getdata('4/CAD','map');
ca = dpoint.getdata('4/CAD','theta');
cyl1p = sal_peg(cyl1p,r1map);
[~, dv, vd] = sal_cylv(ca);
[gimep, nimep] = sal_mep(cyl1p, dv, vd);
end
%%% find actual cycle closest to mean cycle
function [ind, cyl1p] = meanrealcycle(dpoint)
cyl1p = dpoint.getdata('4/CAD','cyl1p');
r1map = dpoint.getdata('4/CAD','map');
cyl1p = sal_peg(cyl1p,r1map);
cyl1p_mean = mean(cyl1p,2)*ones(1,length(cyl1p(1,:)));
rmserr = sqrt(sum((cyl1p-cyl1p_mean).^2,1)/length(cyl1p(:,1)));
[~,ind] = min(rmserr);
cyl1p = cyl1p(:,ind);
end
%%% compute mean knocking cycle (under development)
function [cyl_p, theta_knock, param, param2] = meanknock(dpoint)
cyl3p = dpoint.getdata('100000Hz','cyl3p');
di = dpoint.getdata('100000Hz','di');
map = dpoint.getdata('100000Hz','map');
ca = dpoint.getdata('4/CAD','theta');
spk = dpoint.notes.theta_spk.value;
bdc = sal_extractdi(di,3);
cyl3p = sal_cyclify(cyl3p,bdc);
map = sal_cyclify(map,bdc);
knk_cycles = [];
knk_map = [];
knk_ca = [];
param = [];
param2 = [];
for i = 1:length(cyl3p)
[knk, knkCA] = sal_knockchk(cyl3p{i},1);
if(knk)
knk_cycles = [knk_cycles, interp1(linspace(0,720,length(cyl3p{i})),cyl3p{i},ca(:,1))];
knk_map = [knk_map, interp1(linspace(0,720,length(map{i})),map{i},ca(:,1))];
knk_ca = [knk_ca, knkCA];
%param2 = [param2, max(cyl3p{i})]; % max cylp
%param2 = [param2, mean(map{i})]; % mean map
%param2 = [param2, mean(map{i}(1:30))]; %pressure at ivc
temp3 = interp1(linspace(0,720,length(cyl3p{i})),cyl3p{i},ca(:,1));
temp3 = circshift(temp3,-length(temp3)/4);
cyl_v = sal_cylv(ca(:,1));
[mfb, cad10, cad50, cad90] = sal_mfb(temp3,cyl_v,40,20,spk);
%plot(mfb),hold on
% param2 = [param2, cad90-180];
%param2 = [param2, knk];
param2 = [param2, mfb(round(knkCA*4-1))];
temp = interp1(linspace(0,720,length(cyl3p{i})),cyl3p{i},ca(:,1));
temp = circshift(temp,-length(temp)/4);
temp2 = interp1(linspace(0,720,length(cyl3p{i})),map{i},ca(:,1));
temp2 = circshift(temp2,-length(temp2)/4);
temp = sal_peg(temp,temp2);
param = [param, temp];
end
end
cyl_p = mean(knk_cycles,2);
cyl_p = circshift(cyl_p,-length(cyl_p)/4);
map = mean(knk_map,2);
cyl_p = sal_peg(cyl_p,map);
theta_knock = knk_ca;
% diagnostics
%figure,plot(ca(:,1),cyl_p,'-b',theta_knock,interp1(ca(:,1),cyl_p,theta_knock),'or')
%figure,plot(ca(:,1),map)
end
%%% is the operating point knocking
function isknk = isknocking(dpoint)
cyl3p = dpoint.getdata('100000Hz','cyl3p');
bdc = dpoint.getdata('100000Hz','di');
bdc = sal_extractdi(bdc,3);
cyl3p = sal_cyclify(cyl3p,bdc);
% count number of knocking cycles in dataset
knking=0;
for i = 1:length(cyl3p)
if(sal_knockchk(cyl3p{i},1))
knking = knking+1;
end
end
% check probability of knock is greater than threshold (10%)
if( knking/length(cyl3p) > 0.1 )
isknk = 1;
else
isknk = 0;
end
end
%%% create p-v diagram of mean (no args) or specific cycles
function pvplot(dpoint, varargin)
cyl1p = dpoint.getdata('4/CAD','cyl1p');
r1map = dpoint.getdata('4/CAD','r1map');
ca = dpoint.getdata('4/CAD','theta');
cyl1p = sal_peg(cyl1p,r1map);
if (nargin == 2)
cyl1p = cyl1p(:,varargin{1});
else
cyl1p = mean(cyl1p,2);
end
cyl1v = sal_cylv(ca);
% plot mean or specific cycles on p-v diagram
loglog(cyl1v(:,length(cyl1p(1,:))),cyl1p),hold on
xlabel('Cylinder Volume, v [m^3]'),ylabel('Cylinder Pressure, p [bar]')
end
end
end