Presentazione standard di PowerPoint - Christian Pagliara

Please enable JavaScript to view the full PDF

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