METHOD FOR STATISTICAL ADAPTIVE CLUTCH LEARNING OF CRITICAL CLUTCH CHARACTERISTICS

A method for adaptive clutch learning of critical clutch characteristics includes decreasing pressure supplied to a clutch until clutch slip occurs to obtain a plurality of clutch slip adapt points, each clutch slip adapt point including a clutch slip pressure value and a corresponding clutch slip t...

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Bibliographic Details
Main Authors Daavettila, Chet R, Hultengren, Colin D, Abington, James
Format Patent
LanguageEnglish
Published 31.01.2019
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Summary:A method for adaptive clutch learning of critical clutch characteristics includes decreasing pressure supplied to a clutch until clutch slip occurs to obtain a plurality of clutch slip adapt points, each clutch slip adapt point including a clutch slip pressure value and a corresponding clutch slip torque value. If a maximum of the plurality of clutch slip adapt points obtained determined to be greater than maximum adapt point limits then the maximum and a minimum of the plurality of clutch slip adapt points are removed. The method ends with determining a best fit line based on the plurality of clutch slip adapt points when a predetermined number of clutch slip adapt points are obtained.
Bibliography:Application Number: US201715662337