Plot Tire Data for Visual Inspection

Step 4 of 7 in Get Started with the Extended Tire Features for Vehicle Dynamics Blockset

Use the plot function to visually inspect data stored in tireData objects. First, import the tire data from Tyre Data Exchange Format (TYDEX) v1.3 files. Then, specify arguments in the plot function to customize different plot views.

This example requires the Extended Tire Features for Vehicle Dynamics Blockset™ support package. See Install Support Package.

Import Tire Data

Build a string array from the TYDEX filenames that contain the tire data.

tirepath = fullfile(pwd);
tydexdir = dir(fullfile(tirepath,"data_tydex_files","*.tdx"));
tydexstr = join([{tydexdir.folder}',{tydexdir.name}'],filesep);

Import the data and create an array of tireData objects, td.

td = tireData(tydexstr);

Autoplot Tire Data

Plot the array of tireData objects without specifying input arguments. If you do not specify the input argument DataVariableNames, the plot function automatically generates plots common for the test procedure associated with the data.

Note that not all tire test types are supported.

plot(td)

Plot Tire Data Channels

You can plot a single or multiple tireData objects, assign colors, and legend values to plots and plot filtered tire data.

Plot a Single tireData Object

Specifying the input argument DataVariableNames, plot the longitudinal force versus the longitudinal slip of a single tireData object.

plot(td(1),"DataVariableNames",["kappa","Fx"]);

Plot Multiple tireData Objects

Specifying the input argument DataVariableNames, plot the longitudinal force versus the longitudinal slip of multiple tireData objects.

plot(td(1:2),"DataVariableNames",["kappa","Fx"]);

Assign Colors and Legend Values to Plot

Specifying the input arguments DataVariableNames and ColorBy, plot the longitudinal force versus the longitudinal slip of multiple tireData objects using the normal force to assign colors and legend values to the plot.

Note that the mean value of Fz is used to assign the legend values, which are rounded with the mean values of other tireData objects.

plot(td(1:8),"DataVariableNames",["kappa","Fx"],"ColorBy","Fz");

Plot a Subset of Tire Data

Specifying the input arguments DataVariableNames, ColorBy, FilterBy, and FilterByValues, plot the longitudinal force versus the longitudinal slip of multiple tireData objects. Use the inclination angle to assign colors and legend values to the plot. Filter by the normal force values of 4000 and 5000.

plot(td(1:24),"DataVariableNames",["kappa","Fx"],"ColorBy","gamma", ...
    "FilterBy","Fz","FilterByValues",{[4000,5000]});

Specifying the input arguments DataVariableNames, ColorBy, FilterBy, and FilterByValues, plot the longitudinal force versus the lateral force of the tireData object array. Use the slip angle to assign colors and legend values to the plot. Filter by the inclination angle values of -0.2 and 0.2 and the test method value of Combined.

plot(td,"DataVariableNames",["Fy","Fx"],"ColorBy","alpha", ...
    "FilterBy",["TestMethod","gamma"], ...
    "FilterByValues",{"Combined",[-0.02 0.02]});