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2 Estimation of the friction potential
accuracy of the friction potential significantly, [LKE13a]. When the tire characteristics
arenotknown a priori (e.g. frommeasurementsona tire testbench), the tire character-
istics have to be identified using defined driving manoeuvres, as for example shown by
Kollreider, [Kol09, p.83-105], and Kerschbaumer et al., [KKP+10] or by e.g. using wheel
torque measurements as shown by Albinsson et al., [AFBJ14]. One disadvantage of tire
characteristics measured on different test benches is that the results vary significantly,
as shown by Zamow, [Zam95], and have to be adapted, e.g. [HPRS09]. Nevertheless, a
priori knowledge of the tire properties is assumed in the present work.
2.2. State of the art
In the last 30 years, extensive research has been conducted on the topic of determin-
ing friction potential. In addition to the efforts of individual institutions, Europe-wide
projects suchasPROMETHEUS1 andFRICTI@Nhavemadecontributions to the iden-
tification of the friction potential to increase traffic safety. PROMETHEUS’ long-term
aim was to enable autonomous driving, wherein sensor-based adaptation to the current
road conditions was one sub-project. Environmental sensors and vehicle-reaction-based
approaches were developed within this project, see Sections 2.2.1 and 2.2.2. In the
FRICTI@N project, information about different existing sensors was used in a novel
sensorfusion system, see Section 2.2.4. Within the Intelligent Vehicle and Safety Sys-
tems programme, different algorithms to estimate the friction potential were developed
using optical sensors, force measurements and measurements of the vehicle’s dynamic
state, [ABC+07].
The existing approaches can be divided into methods that focus on causes that influ-
ence the value of the friction potential (i.e. cause-based approaches) and methods that
observevariables thatareaffectedbythe frictionpotential (i.e. effect-basedapproaches).
Both kinds of methods can utilize either signals from sensors that are mounted on the
vehicle or sensors that are part of road-side infrastructure, see Figure 2.9. Car-to-x com-
munication systems (C2x) are infrastructural systems, see Section 2.2.3. The current
road conditions are measured in-situ and sent wirelessly to the vehicle. Since infor-
mation about the road conditions is available before the vehicle travels on the road,
identification of the friction potential ahead of the vehicle is possible. However, since
thecurrent tireconditionsanddrivingstatesarenot taken intoaccount, it isnotpossible
to calculate the safety margin. The performance of vehicle-fixed environmental sensors
1PROgraMme for aEuropeanTraffic ofHighestEfficiency andUnprecedentedSafety
29
Maximum Tire-Road Friction Coefficient Estimation
- Titel
- Maximum Tire-Road Friction Coefficient Estimation
- Autor
- Cornelia Lex
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Graz
- Datum
- 2015
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 3.0
- ISBN
- 978-3-85125-423-5
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 189
- Kategorie
- Technik