• Patent Title: Method for reducing low-frequency vibrations in the drive train of a motor vehicle
  • Application No.: US15119910
    Application Date: 2015-03-26
  • Publication No.: US10215240B2
    Publication Date: 2019-02-26
  • Inventor: Ulrich Neuberth
  • Applicant: Schaeffler Technologies AG & Co. KG
  • Applicant Address: DE Herzogenaurach
  • Assignee: SCHAEFFLER TECHNOLOGIES AG & CO. KG
  • Current Assignee: SCHAEFFLER TECHNOLOGIES AG & CO. KG
  • Current Assignee Address: DE Herzogenaurach
  • Agency: Volpe and Koenig, P.C.
  • Priority: DE102014207310 20140416; DE102014207354 20140416; DE102014207361 20140416; DE102014207833 20140425; DE102014213703 20140715; DE102014213925 20140717; DE102014213927 20140717; DE102014214196 20140722
  • International Application: PCT/DE2015/200196 WO 20150326
  • International Announcement: WO2015/158343 WO 20151022
  • Main IPC: F16D48/06
  • IPC: F16D48/06
Method for reducing low-frequency vibrations in the drive train of a motor vehicle
Abstract:
The invention relates to a method for reducing occasionally occurring vibrations, in particular chatter vibrations of a unit controlled automatically by an actuator, in particular a clutch actuator, on the basis of a target torque assigned to a clutch torque that is to be transmitted, in particular a target clutch torque, in particular a unit located in a drivetrain of a motor vehicle between a combustion engine and a transmission, in particular a friction clutch having an actual present clutch torque which is marked by vibrations as a result of occasionally occurring vibrations, wherein from an input signal which is representative of the vibration-marked torque on the basis of a known transfer behavior of the actual present torque vibration components of known form with unknown prefactors are continuously ascertained, a phase-correct correction torque is determined from these, and the target torque is corrected using the latter. In order to be able to separate a plurality of vibration components from one another and resolve them, an estimation model is made the basis of the input signal, and by means of the estimation model the prefactors are determined on the basis of a recursive method of the smallest square errors.
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