1. ON - ROAD TIRE LONGITUDINAL BEHAVIOUR IDENTIFICATION 2. LONGITUDINAL TIRE BEHAVIOUR AS FUNCTION OF WEAR 3. LONGITUDINAL TIRE BEHAVIOUR IN REAL DRIVING CONDITIONS 4. WEAR ALGORITHM PREDICTION 4 TIRE S e r v i c e s WEAR ALGORITHM PREDICTION - THROUGH - In house developed wear identification embedded algorithm. - TO - On - board wear identification during open road driving conditions. - FROM - Vehicle and tires nominal specifications (mass, wheelbase, centre of gravity longitudinal position, tire dimensions, nominal tire mu - slip Pacejka curve coefficients) together with on - board sensor (GPS - to measure vehicle speed and longitudinal acceleration ; ENCODERS – to measure wheels peripheral speed ; IMU – to investigate pitch behaviour contribute ; TPMS) 1 2 3 ON - ROAD TIRE LONGITUDINAL BEHAVIOUR IDENTIFICATION OPERATIVE CONDITIONS DEPENDENCY CHARACTERIZATION LONGITUDINAL TIRE BEHAVIOUR IN REAL DRIVING CONDITIONS - TO - Characterization of Pacejka longitudinal tire behavior Fitting of on - road data measurements to estimate relevant MF coefficients (longitudinal stiffness, maximum grip, relaxation length) - FROM - Vehicle geometry and on - board sensors (GPS - to measure vehicle speed and longitudinal acceleration ; ENCODERS – to measure wheels peripheral speed ; IMU – to investigate pitch behaviour contribute) - TO - Statistically monitor the tire behavior according to open - road driving condition, accounting for transient behavior due to traffic and infrastructure and weather conditions - TO – Characterization of Pacejka longitudinal tire behavior Fitting of on - road data measurements to estimate relevant MF coefficients (longitudinal stiffness, maximum grip, relaxation length) and their dependency with respect to wear and pressure - FROM - Vehicle geometry and vehicle on - board sensors (GPS - to measure vehicle speed and longitudinal acceleration ; ENCODERS – to measure wheels peripheral speed ; IMU – to investigate pitch behaviour contribute) - FROM - Vehicle geometry and vehicle on - board sensors (GPS - to measure vehicle speed and longitudinal acceleration ; ENCODERS – to measure wheels peripheral speed ; IMU – to investigate pitch behaviour contribute) - THROUGH - Open road tests in normal riding conditions, accounting for common urban and extra - urban scenarios - THROUGH - Performing vehicle testing at proving ground on several road surfaces (asphalt, concrete, snow, ice ... ) at different level of wear - THROUGH - Performing vehicle testing at proving ground on several road surfaces with different grip coefficients (asphalt, concrete, snow, ice ... )