Paper Info
Title
Cloud aided semi-active suspension control
Abstract
This paper considers the problem of vehicle suspension control from the perspective of a Vehicle-to-Cloud-to-Vehicle (V2C2V) distributed implementation. A simplified variant of the problem is examined based on the linear quarter-car model of semi-active suspension dynamics. Road disturbance is modeled as a combination of a known road profile, an unmeasured stochastic road profile and potholes. Suspension response when the vehicle hits the pothole is modeled as an impulsive change in wheel velocity with magnitude linked to physical characteristics of the pothole and of the vehicle. The problem of selecting the optimal damping mode from a finite set of damping modes is considered, based on road profile data. The information flow and V2C2V implementation are defined based on partitioning the computations and data between the vehicle and the cloud. A simulation example is presented.
Year
DOI
Venue
2014
10.1109/CIVTS.2014.7009481
CIVTS
Keywords
Field
DocType
unmeasured stochastic road profile,road vehicles,road disturbance,potholes,cloud aided semiactive suspension control,suspensions (mechanical components),vehicle suspension control,linear quarter-car model,optimal damping mode,vehicle dynamics,cloud computing,mechanical engineering computing,semiactive suspension dynamics,v2c2v,stochastic processes,damping,tires
Information flow (information theory),Magnitude (mathematics),Suspension (vehicle),Finite set,Stochastic process,Control engineering,Active suspension,Engineering,Cloud computing,Computation
Conference
Citations 
PageRank 
References 
16
0.95
2
Authors
6
Name
Order
Citations
PageRank
Zhaojian Li115513.19
Ilya V. Kolmanovsky269096.32
Ella M. Atkins369868.56
Lu Jianbo417527.62
Dimitar Filev51249147.45
John Michelini6526.15