Description Usage Arguments Details Value References See Also Examples
Uses the Pure Longitudinal Magic Formula (Pacejka 2002) as written, to
calculate FX. This does not include variation with inclination angle.
Various sources include a 15th parameter, pD3, to include IA variation,
which is not present in this function. To include camber variation, see
FXPurePacejka2002.wIA
.
1 | FXPurePacejka2002.NoIA(FZ, SL, FZ0 = -1600, Vs = 40, V0 = 40, parameters)
|
FZ |
numeric. Normal Load in Newtons. |
SL |
numeric. Slip Ratio in SAE standard, unitless. SL is Slip Ratio based on RE (such that SL=0 gives FX=0). See Race Car Vehicle Dynamics page 62 (Milliken/Milliken). For TTC Data, use column named "SL" not "SR". |
FZ0 |
numeric. Nominal rated load in Newtons. Defaults to -1600N. Typically the highest load used in the data. See section 4.3.2 of Tyre and Vehicle Dynamics (Pacejka, 2002) |
Vs |
numeric. Tire Slip velocity in kph. Defaults to 40 kph. |
V0 |
numeric. Reference Velocity in kph. Defaults to 40 kph. Typically the average velocity of the test. |
parameters |
numeric Vector. 14 Pacejka Pure-Longitudinal coefficients in the following order: pC1, pD1, pD2, pE1, pE2, pE3, pE4, pK1, pK2, pK3, pV1, pV2, pH1, pH2 |
Check out the source code on the tirefittingr github in /R/Magic.R.
Works in the SAE Sign conventions: Fz <0, (See Race Car Vehicle Dynamics by Milliken, p39). or https://www.oreilly.com/library/view/tire-and-vehicle/9780080970165/images/F150016bm01-9780080970165.jpg
Longitudinal Force, FX, in Newtons.
Tyre and Vehicle Dynamics (Pacejka, 2002) Race Car Vehicle Dynamics (Milliken)
Other MagicFormulas:
FXPurePacejka2002.wIA()
,
FYPurePacejka2002()
1 2 3 4 5 6 7 8 9 10 11 12 | params = c(1,3.16,-0.62,0.18,3.58,-10.54,-0.25,-0.01,-0.01,
-100,40,2.24,-0.1,-0.45)
FX = FXPurePacejka2002.NoIA(
FZ = -1000,
SL = 0.1,
parameters = params)
#Often used within createFitDataFrameToPlot function to create a plotable
#data frame.
mGridPlot = createFitDataFrame(FXPurePacejka2002.NoIA, "parameters",
SL = seq(from = -0.2, to = 0.2, by = 0.005),
FZ = c(c(-250, -750, -1200)),
parameters = params)
|
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