Road Friction Virtual Sensing: A Review of Estimation Techniques with Emphasis on Low Excitation Approaches-Reference-Cited by-同舟云学术

Road Friction Virtual Sensing: A Review of Estimation Techniques with Emphasis on Low Excitation Approaches

Published:2017-11-28 Issue:12 Volume:7 Page:1230
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Acosta Manuel,Kanarachos Stratis,Blundell Mike

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/7/12/1230/pdf

Reference135 articles.

1. The Multibody Systems Approach to Vehicle Dynamics;Blundell,2004

2. The Tyre, Grip,2001

3. Tire force estimation and road grip recognition using Extended Kalman Filter, Neural Networks and Recursive Least Squares;Acosta;Neural Comput.,2017

4. Tire-road friction coefficient estimation based on the resonance frequency of in-wheel motor drive system;Chen;Veh. Syst. Dyn.,2015

5. Estimation of tire-road friction coefficient based on frequency domain data fusion;Chen;Mech. Syst. Signal Process.,2017

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