Comprehensive tire-road friction coefficient estimation based on signal fusion method under complex maneuvering operations

被引：96

作者：

Li, L. ^{[1
]}

Yang, K. ^{[1
]}

Jia, G. ^{[1
]}

Ran, X. ^{[1
]}

Song, J. ^{[1
]}

Han, Z. -Q. ^{[2
]}

机构：

[1] Tsinghua Univ, Dept Automot Engn, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China

[2] Yanshan Univ, Dept Automobile Engn, Qinhuangdao 066001, Hebei, Peoples R China

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2015年 / 56-57卷

基金：

中国国家自然科学基金;

关键词：

Tire-road friction coefficient; Vehicle dynamics control; Signal fusion; Experimental vehicle test; Complex maneuvering operations; YAW-MOMENT CONTROL; VEHICLE VELOCITY ESTIMATION; SLIP-ANGLE ESTIMATION; STABILITY CONTROL; IDENTIFICATION; SUSPENSION; DYNAMICS; SIMULATIONS;

D O I：

10.1016/j.ymssp.2014.10.006

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The accurate estimation of the tire-road friction coefficient plays a significant role in the vehicle dynamics control. The estimation method should be timely and reliable for the controlling requirements, which means the contact friction characteristics between the tire and the road should be recognized before the interference to ensure the safety of the driver and passengers from drifting and losing control. In addition, the estimation method should be stable and feasible for complex maneuvering operations to guarantee the control performance as well. A signal fusion method combining the available signals to estimate the road friction is suggested in this paper on the basis of the estimated ones of braking, driving and steering conditions individually. Through the input characteristics and the states of the vehicle and tires from sensors the maneuvering condition may be recognized, by which the certainty factors of the friction of the three conditions mentioned above may be obtained correspondingly, and then the comprehensive road friction may be calculated. Experimental vehicle tests validate the effectiveness of the proposed method through complex maneuvering operations; the estimated road friction coefficient based on the signal fusion method is relatively timely and accurate to satisfy the control demands. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：259 / 276

页数：18

共 29 条

[1] Robust estimation of road friction coefficient using lateral and longitudinal vehicle dynamics [J].

Ahn, Changsun ;

Peng, Huei ;

Tseng, H. Eric .

VEHICLE SYSTEM DYNAMICS, 2012, 50 (06) :961-985

[2]

Bachmann T., 1995, P 20 WORLD C FED SOC

[3] Fuzzy-logic applied to yaw moment control for vehicle stability [J].

Boada, BL ;

Boada, MJL ;

Díaz, V .

VEHICLE SYSTEM DYNAMICS, 2005, 43 (10) :753-770

[4]

BREUER B, 1992, P INT S ADV VEH CONT, P347

[5] Editors' perspectives: road vehicle suspension design, dynamics, and control [J].

Cao, Dongpu ;

Song, Xubin ;

Ahmadian, Mehdi .

VEHICLE SYSTEM DYNAMICS, 2011, 49 (1-2) :3-28

[6] Roll- and pitch-plane coupled hydro-pneumatic suspension [J].

Cao, Dongpu ;

Rakheja, Subhash ;

Su, Chun-Yi .

VEHICLE SYSTEM DYNAMICS, 2010, 48 (03) :361-386

[7] Tire grip identification based on strain information: Theory and simulations [J].

Carcaterra, A. ;

Roveri, N. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 41 (1-2) :564-580

[8]

EICHHORN U, 1992, P FISITA 24 C SAF VE, V2, P67

[9] Slip-angle estimation for vehicle stability control [J].

Fukada, Y .

VEHICLE SYSTEM DYNAMICS, 1999, 32 (4-5) :375-388

[10] GPS-based real-time identification of tire-road friction coefficient [J].

Hahn, JO ;

Rajamani, R ;

Alexander, L .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2002, 10 (03) :331-343

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