ABNORMALITY DIAGNOSING DEVICE AND ABNORMALITY DIAGNOSING METHOD FOR SELECTION SOLENOID VALVE OF AUTOMATIC TRANSMISSION

    公开(公告)号:US20200182352A1

    公开(公告)日:2020-06-11

    申请号:US16641562

    申请日:2018-08-28

    IPC分类号: F16H61/12

    摘要: Selection solenoid valve (75) controls engagement/disengagement of travel clutch (31, 32) in synchronization with a selecting operation of selector lever (90) that selects a range position of belt-type continuously variable transmission (CVT). Selection solenoid valve abnormality diagnosing unit (Sa) is configured to, when performing a selecting operation from no-drive range to drive range, if a time required for travel clutch (31, 32) to be judged to be engaged from a start of selection of the drive range is less than a predetermined time, judge selection solenoid valve (75) to be a maximum hydraulic pressure side abnormality. When performing the selecting operation of drive range→no-drive range→drive range, if a selecting operation speed condition indicating that a no-drive range selection time is shorter than a setting time (Tth) is satisfied, execution of abnormality diagnosis of selection solenoid valve (75) is not permitted. With this configuration, misjudgment is prevented.

    LOCK-UP CLUTCH CONTROL DEVICE FOR VEHICLE, AND LOCK-UP CLUTCH CONTROL METHOD

    公开(公告)号:US20180245689A1

    公开(公告)日:2018-08-30

    申请号:US15757455

    申请日:2016-08-31

    IPC分类号: F16H61/14 F16D48/06

    摘要: In a vehicle equipped with a torque converter (4) having a lock-up clutch (3), learning control for obtaining a learning value (L_n) on the basis of meet-point information, with which the lock-up clutch (3) initiates torque transmission, is carried out. After acquiring the current learning detection value (M_n), a meet-point learning control unit (12c) calculates the current detection error (E_n) on the basis of the difference between the current learning detection value (M_n) and the previous learning value (L_(n−1)) that is stored. When the current and previous detection errors (E_n) and (E_n−1) have the same plus/minus sign, the current learning value correction amount is set to a larger value if the absolute value |(E_n−1)| of the previous detection error (E_n−1) is large than if the absolute value |(E_n−1)| is small. The sum of the previous learning value (L_(n−1)) and the current learning value correction amount is set as the present learning value (L_n).