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5 Tire/road friction estimator
in Section 4 show that the wheel rotational speeds show the highest sensitivity to a
change inµmax. In addition, since the wheel rotational speeds are directly measured in
every vehicle with ABS, they do not require an uncertain estimate. Thus, one possible
approach could be to use the wheel’s angular momentum as given in Equation 3.15 to
estimate µmax. In discrete time notation, the i-th’s wheel’s rotational equilibrium for
the time interval ∆t= t(k+1)− t(k) reads
ωi(k+1) =ωi(k)+ 1
Ii ·(MD,i(k)−MR,i−rS,i ·Fx,i(k)) ·∆t. (5.10)
Equation 5.10 is primarily determined by the difference between the momentum implied
by the longitudinal tire force Fx,i which is a function of µ max and the wheel’s torque
MD,i. Nevertheless, changes of ωi for typical driving states are smaller or within the
same range as the accuracy with which the termMD,i(k)−MR,i−rS,i ·Fx,i(k) can be
calculated, and this relation cannot be used directly. Thus, this work uses an approach
related to the one proposed by Ray, [Ray97], in which the observed variables comprise
the horizontal tire forces. A priori calculated values of the longitudinal tire forceFx,i
are used as the measurement input for the particle filter. Within the particle filter al-
gorithm, these real values are then compared toN hypothesis of the longitudinal tire
forces calculated using a tire model andN different particles of µmax. The real value
of the longitudinal tire force Fx,i is calculated using the discrete time notation of the
wheel’s angular momentum shown in Equation 5.10 and is given by
Fx,i(k) = 1
rS,i · (
MD,i(k)−MR,i−Ii · ( ωi(k+1)−ωi(k)
∆t ))
. (5.11)
5.3.1. Overview on observer model
With the relation in Equation 5.11, the state model for the observer can now be de-
fined using the notation for the state estimation problem given in Equations 5.2 and
5.2. The state vector x is given by [
µmaxfl µ max
fr µ max
rl µ max
rr ]T
. The measurement
equation z(k) is given by [
Fx,fl Fx,fr Fx,rl Fx,rr ]T
and is being calculated for each
wheel using Equation 5.11. Within the particle filter, the measurements z(k) are being
compared to h(x(k)), assuming a multivariate Gaussian distribution (cf. Equation 5.6).
The vector h(x(k)) includes the longitudinal tire forces that are calculated based on the
model for combined horizontal tire forces presented in Section 3.3. It depends on the
longitudinal slip sx,i, the slip angleαi, the vertical tire loadFz,i and the state vector x,
i.e. µmaxi . UsingN particles for µ max
i ,N hypothesis for the longitudinal tire force are
97
Maximum Tire-Road Friction Coefficient Estimation
- Title
- Maximum Tire-Road Friction Coefficient Estimation
- Author
- Cornelia Lex
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Graz
- Date
- 2015
- Language
- English
- License
- CC BY-NC-ND 3.0
- ISBN
- 978-3-85125-423-5
- Size
- 21.0 x 29.7 cm
- Pages
- 189
- Category
- Technik