This paper proposed a full vehicle state estimation and developed an integrated chassis control by coordinating electronic stability control (ESC) and torque vectoring differential (TVD) systems to improve vehicle handling and stability in all conditions without any interference. For this purpose, an integrated TVD/ESC chassis system has been modeled in Matlab/Simulink and applied into the vehicle dynamics model of the 2003 Ford Expedition in carsim software. TVD is used to improve handling in routine and steady-state driving conditions and ESC is mainly used as the stability controller for emergency maneuvers or when the TVD cannot improve vehicle handling. By the ββ˙ phase plane, vehicle stable region is determined. Inside the reference region, the handling performance and outside the region the vehicle stability has been in question. In order to control the integrated chassis system, a unified controller with three control layers based on fuzzy control strategy, ββ˙ phase plane, longitudinal slip, and road friction coefficient of each tire is designed in Matlab/Simulink. To detect the control parameters, a state estimator is developed based on unscented Kalman filter (UKF). Bees algorithm (BA) is employed to optimize the fuzzy controller. The performance and robustness of the integrated chassis system and designed controller were conformed through routine and extensive simulations. The simulation results via a co-simulation of MATLAB/Simulink and CarSim indicated that the designed integrated ESC/TVD chassis control system could effectively improve handling and stability in all conditions without any interference between subsystems.

References

References
1.
Song
,
J.
,
2013
, “
Development and Comparison of Integrated Dynamics Control Systems With Fuzzy Logic Control and Sliding Mode Control
,”
J. Mech. Sci. Technol.
,
27
(6), pp.
1853
1861
.
2.
Wenzel
,
T. A.
,
Burnham
,
K.
,
Blundell
,
M.
, and
Williams
,
R.
,
2006
, “
Dual Extended Kalman Filter for Vehicle State and Parameter Estimation
,”
Veh. Syst. Dyn.
,
44
(2), pp.
153
171
.
3.
Papelis
,
Y.
,
Brown
,
T.
,
Watson
,
G.
,
Holtz
,
D.
, and
Pan
,
W.
,
2004
, “
Study of ESC Assisted Driver Performance Using a Driving Simulator
,” University of Iowa's National Advanced Driving Simulator,
Coralville
,
IA
, Report No.
N2004-030
.https://www.nads-sc.uiowa.edu/publications.php?specificPub=N2004-030
4.
Jaafari
,
S. M. M.
, and
Shirazi
,
K. H.
,
2016
, “
A Comparison on Optimal Torque Vectoring Strategies in Overall Performance Enhancement of a Passenger Car
,”
Proc. Inst. Mech. Eng., Part K: J. Multi-Body Dyn.
,
230
(
4
), pp.
469
488
.
5.
Sawase
,
K.
, and
Sano
,
Y.
,
1999
, “
Application of Active Yaw Control to Vehicle Dynamics by Utilizing Driving/Breaking Force
,”
JSAE Rev.
,
20
(5), pp.
289
95
.
6.
Piyabongkarn
,
D.
,
Lew
,
J. Y.
,
Rajamani
,
R.
, and
Grogg
,
J. A.
,
2010
, “
Active Driveline Torque-Management Systems
,”
IEEE Control Syst. Mag.
,
30
(4), pp.
86
102
.
7.
Hancock
,
M.
,
Williams
,
R.
,
Gordon
,
T.
, and
Best
,
M. C.
,
2005
, “
A Comparison of Braking and Differential Control of Road Vehicle Yaw-Sideslip Dynamics
,”
Proc. Inst. Mech. Eng., Part D
,
219
(3), pp.
309
327
.
8.
He
,
J.
,
Crolla
,
D.
,
Levesley
,
M.
, and
Manning
,
W.
,
2006
, “
Coordination of Active Steering, Driveline, and Braking for Integrated Vehicle Dynamics Control
,”
Proc. Inst. Mech. Eng., Part D
,
220
(10), pp.
1401
1420
.
9.
Cooper
,
N. J.
,
2006
,
Active Driveline and Suspension Control to Improve Vehicle Handling
,
University of Leeds
,
Leeds, UK
.
10.
Goodarzi
,
A.
, and
Alirezaie
,
M.
,
2009
, “
Integrated Fuzzy/Optimal Vehicle Dynamic Control
,”
Int. J. Automot. Technol.
,
10
(5), pp.
567
575
.
11.
Mechanical Simulation Corporation, 2017, “CarSim,” Mechanical Simulation Corporation, Ann Arbor, MI, accessed Dec. 15, 2017, https://www.carsim.com/
12.
Kinjawadekar
,
T.
,
Dixit
,
N.
,
Heydinger
,
G.
,
Guenther
,
D.
, and
Salaani
,
M. k.
,
2009
, “Vehicle Dynamics Modeling and Validation of the 2003 Ford Expedition With ESC Using CarSim,”
SAE
Paper No. 2009-01-0452.
13.
Jaafari
,
S. M. M.
,
2012
, “Optimal Control of Torque Splitter System for a 4WD Vehicle for Better Handling,” M.Sc. thesis, University of Ahvaz, Ahvaz, Iran.
14.
Mimura
,
K.
,
2005
, “Differential Gear,” U.S. Patent No.
6120407
.http://www.google.com/patents/US6120407
15.
Deur
,
J.
,
Petric
,
J.
,
Asgari
,
J.
, and
Hrovat
,
D.
,
2005
, “
Modeling of Wet Clutch Engagement Including a Thorough Experimental Validation
,”
SAE
Paper No. 2005-01-0877.
16.
Hancock
,
M.
,
2006
, “Vehicle Handling Control Using Active Differentials,”
Ph.D. thesis
, University of Loughborough, Loughborough, UK.https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/8075
17.
Karnopp
,
D.
,
1985
, “
Computer Simulation of Stick-Slip Friction in Mechanical Dynamic Systems
,”
ASME J. Dyn. Syst., Meas., Control.
,
107
(1), pp.
100
103
.
18.
Rajamani
,
R.
,
2005
,
Vehicle Dynamics and Control
,
1st ed.
,
Springer
,
New York
, pp.
221
256
.
19.
He
,
J.
,
2005
, “Integrated Vehicle Dynamics Control Using Active Steering, Driveline and Braking,”
Ph.D. thesis
, University of Leeds, Leeds, UK.http://etheses.whiterose.ac.uk/979/
20.
Inagaki
,
S.
,
Kushiro
,
I.
, and
Yamamoto
,
M.
,
1995
, “
Analysis on Vehicle Stability in Critical Cornering Using Phase-Plane Method
,”
JSAE Rev.
,
16
(2), p.
216
.
21.
Smakman
,
H.
,
2000
,
Functional Integration of Slip Control With Active Suspension for Improved Lateral Vehicle Dynamics
,
Delft University of Technology
,
Delft, The Netherlands
.
22.
Wong
,
J. Y.
,
2001
,
Theory of Ground Vehicles
,
3rd ed.
,
Willey
,
New York
.
23.
Antonov
,
S.
,
Fehn
,
A.
, and
Kugi
,
A.
,
2011
, “
Unscented Kalman Filter for Vehicle State Estimation
,”
Veh. Syst. Dyn.
,
49
(9), pp.
1497
1520
.
24.
Pacejka
,
H. B.
,
2006
,
Tire and Vehicle Dynamics
,
2nd ed.
,
Butterworth-Heinemann, Oxford
,
UK
.
25.
Julier
,
S. J.
, and
Uhlmann
,
J. K.
,
1997
, “
A New Extension of the Kalman Filter to Nonlinear Systems
,”
International Symposium on Aerospace/Defense Sensing, Simulations and Controls
, Orlando, FL, Apr. 20–25, pp.
182
93
.http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.2891&rep=rep1&type=pdf
26.
Rhudy
,
M.
, and
Gu
,
Y.
,
2013
, “
Understanding Nonlinear Kalman Filters—Part II: An Implementation Guide
,” West Virginia University, Morgantown, WV, accessed Dec. 15, 2017, https://docgo.net/understandig-nonlinear-kalman-filters-part-ii-an-implementation-guide-copy
27.
Deur
,
J.
,
Ivanović
,
V.
,
Hancock
,
M.
, and
Assadian
,
F.
,
2010
, “
Modeling and Analysis of Active Differential Dynamics
,”
ASME J. Dyn. Syst., Meas., Control.
,
132
(
6
), p.
061501
.
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