I get a slightly different result when I use ‘torquev’ and ‘rpmrangev’ to define the interpolation grids, so that may be the problem, since ‘torque’ and ‘rpmrange’ are themselves actually (14x4) matrices. My change uses their ranges to define the interpolation matrices.
I also ploted the result based on the original reshaped matrices in the second figure.
Try this —
A=[77.3139227401096,77.3120257063849,77.3120257063849,77.3120257063849,77.3120257063849,77.3120257063849,77.3120257063849,77.3120257063849,77.3120257063849,77.8499350764564,77.8442382759329,77.8400158037560,77.8367460305253,77.8341382601430,77.3189088790396,77.3120257063849,77.3120257063849,77.3120257063849,77.3120257063849,77.4228460196533,77.3770975908979,77.3678714954335,77.3624256179988,77.3588314539844,77.3562741687948,77.3543880471537,77.3529118848689,77.3517359358068,77.8230143346564,77.5947167588728,77.4572289300964,77.3536200322737,77.2815354478640,77.1958950775090,77.1462000726089,77.1176650859710,77.1045877194747,77.0939198939992,77.0960045406636,77.0936701640036,77.0918470331206,77.0903910018129,78.9250781251261,78.2607772080247,77.8571819100295,77.5445345646900,77.1777675777582,77.1067936547286,77.0560757369439,77.0204796252278,77.0021470133600,76.9934357792392,76.9874018876342,76.9841903129164,76.9834146935698,76.9832804850934];
torque=[-40,-30,-20,-10,10,20,30,40,50,60,70,80,90,100,-40,-30,-20,-10,10,20,30,40,50,60,70,80,90,100,-40,-30,-20,-10,10,20,30,40,50,60,70,80,90,100,-40,-30,-20,-10,10,20,30,40,50,60,70,80,90,100];
rpmrange=[6,6,6,6,6,6,6,6,6,6,6,6,6,6,8,8,8,8,8,8,8,8,8,8,8,8,8,8,10,10,10,10,10,10,10,10,10,10,10,10,10,10,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5];
torquev = linspace(min(torque), max(torque), numel(torque));
rpmrangev = linspace(min(rpmrange), max(rpmrange), numel(rpmrange));
[xmesh,ymesh]=meshgrid(torquev,rpmrangev);
vq=griddata(torque,rpmrange,A,xmesh,ymesh);
figure
contourf(xmesh,ymesh,vq,1000,'EdgeColor','none')
xlabel('Torque increase [%]');
ylabel('RPM range [*10^3]');
title('Torque Sensivity Study');
hc = colorbar;
set(get(hc,'title'),'string','LapTime [s]')
colormap(flipud(jet))
torque_mtx = reshape(torque,14,[])
rpmrange_mtx = reshape(rpmrange,14,[])
A_mtx = reshape(A,14,{})
figure
contourf(torque_mtx,rpmrange_mtx,A_mtx,1000,'EdgeColor','none')
xlabel('Torque increase [%]');
ylabel('RPM range [*10^3]');
title('Torque Sensivity Study (Original Matrices)');
hc = colorbar;
set(get(hc,'title'),'string','LapTime [s]')
colormap(flipud(jet))
EDIT — (14 Aug 2022 at 13:14)
figure
surfc(torque_mtx,rpmrange_mtx,A_mtx)
% shading('interp')
% hold on
% contour3(torque_mtx,rpmrange_mtx,A_mtx,50,'-k')
% hold off
xlabel('Torque increase [%]');
ylabel('RPM range [*10^3]');
title('Torque Sensivity Study (Original Matrices)');
hc = colorbar;
set(get(hc,'title'),'string','LapTime [s]')
colormap(flipud(jet))
grid on
view(35,20)
.