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On the vehicle state estimation benefits of smart tires

Mazzilli, V., Ivone, D., Vidal Muñoz, V., De Pinto, S., Camocardi, P., Pascali, L., Doria Cerezo, A., Gruber, P., Tarquinio, G. and Sorniotti, A. (2020) On the vehicle state estimation benefits of smart tires In: chassis.tech plus 2020 - the 11th International Munich Chassis Symposium, 23-24 Jun 2020, Munich, Germany (changed to online due to the Coronavirus pandemic).

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Abstract

Smart tires are systems that are able to measure temperature, inflation pressure, footprint dimensions, and, importantly, tire contact forces. The integration of this additional information with the signals ob-tained from more conventional vehicle sensors, e.g., inertial measure-ment units, can enhance state estimation in production cars. This paper evaluates the use of smart tires to improve the estimation performance of an Unscented Kalman filter (UKF) based on a nonlinear vehicle dynam-ics model. Two UKF implementations, excluding and including smart tire information, are compared in terms of estimation accuracy of vehicle speed, sideslip angle and tire-road friction coefficient, using experi-mental data obtained on a high performance passenger car.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
NameEmailORCID
Mazzilli, V.v.mazzilli@surrey.ac.uk
Ivone, D.
Vidal Muñoz, V.v.vidalmuzoz@surrey.ac.uk
De Pinto, S.
Camocardi, P.
Pascali, L.
Doria Cerezo, A.
Gruber, P.P.Gruber@surrey.ac.uk
Tarquinio, G.
Sorniotti, A.A.Sorniotti@surrey.ac.uk
Date : 2020
Uncontrolled Keywords : Sideslip angle estimation; Vehicle speed estimation; Tire-road friction coefficient estimation; Smart tire system
Depositing User : Clive Harris
Date Deposited : 11 Jun 2020 14:21
Last Modified : 23 Jun 2020 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/857781

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