Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
Technik
Maximum Tire-Road Friction Coefficient Estimation
Page - 147 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 147 - in Maximum Tire-Road Friction Coefficient Estimation

Image of the Page - 147 -

Image of the Page - 147 - in Maximum Tire-Road Friction Coefficient Estimation

Text of the Page - 147 -

E Longitudinal velocity estimation Villagra et al. propose estimating vx and vy using bax, bay,ωz andωi based on alge- braic estimation approaches, [VdFM08]. To estimate only vx, an estimate of vy is also necessary. The sensitivity of the results toµmax seems to be low. It has to be mentioned that no vehicle parameters are necessary. Nevertheless, no experimental results were shown, but just experiments with simulated data. Rajamani et al. discussed the estimation of vx based on two different sensor com- binations, [RPPL12]. For the first approach, the wheel speeds and an accelerometer are used to estimate vx within an observer. Although this approach takes into account aerodynamic drag and estimating the climbing resistance, it showed some shortcomings in the form of under-damped estimation dynamics and was not suitable, according to the authors. The second approach is described within the GNSS-based approaches. E.3. Radar-based estimation of the longitudinal velocity Radar sensors are already available in vehicles equipped with adaptive cruise control (ACC). The necessary accuracy with which the relative velocity ∆vx to other objects (including stationary objects) has to be detected for ACC are≤2 m/s or≤3 % of ∆vx. This high accuracy of the relative velocity makes it possible to improve the on-board calculation of the vehicle’s own velocity vx, [WDS09, p.492]. The resolution with which the relative velocity ∆vx between the vehicle and another object can theoretically be measureddependsonthemeasurementtimeT andthefrequencyrangef0, [Win09b]. For automotiveapplicationsworld-widethetransmitted frequencyf0 ismostoften76.5GHz. Given the light speed cL= 299792458 m/s 2 and a typical measurement timeT= 0.04 s, the theoretical resolution ∆v¯x of the relative velocity is ∆v¯x= cL 2 ·f0 ·T = 299792458 2 ·76.5 ·109 ·0.04≈ 0.05 m/s, (E.1) [Win09b]. As an example for the real achieved accuracy, the Bosch LRR3 radar sensor currentlyused inseriesapplication forACChasanaccuracyof∆vxof0.1m/s, [Win09b]. Nevertheless, this is the accuracy of the relative speed to other objects. It cannot be assumedthatthishighaccuracycanalsobeachievedfortherelativevelocitybetweenthe vehicle and the road. This accuracy also depends on the mounting height of the sensor, the direction of the centre of the transmitted signal and especially on the reflection capability of the road. The reflection capability depends in general on the type of object, its geometry and its orientation. Metal objects (e.g. stationary objects such 147
back to the  book Maximum Tire-Road Friction Coefficient Estimation"
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
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
Maximum Tire-Road Friction Coefficient Estimation