CONTROL DEVICE FOR HUMAN-POWERED VEHICLE
    1.
    发明公开

    公开(公告)号:US20240053146A1

    公开(公告)日:2024-02-15

    申请号:US18446793

    申请日:2023-08-09

    Applicant: Shimano Inc.

    CPC classification number: G01C9/08 B62J45/414 B62J45/415 B62J45/416 B62M6/50

    Abstract: A control device is provided for a human-powered vehicle including a vehicle body, and a sensor mounted on the human-powered vehicle for detecting at least one of acceleration or inclination. The control device includes an electronic controller configured to set a virtual inclination angle change of the sensor during riding of a rider based on at least one of vehicle body information on of the human-powered vehicle or load information on a load acting on the human-powered vehicle. At least one of the vehicle body information and the load information can be input from an external control device to the control device.

    HUMAN-POWERED VEHICLE CONTROL DEVICE, LEARNING METHOD, HUMAN-POWERED VEHICLE CONTROL METHOD AND COMPUTER PROGRAM

    公开(公告)号:US20230311902A1

    公开(公告)日:2023-10-05

    申请号:US18105097

    申请日:2023-02-02

    Applicant: Shimano Inc.

    CPC classification number: B60W40/09 B60W2300/36

    Abstract: A human-powered vehicle control device includes at least one sensor, a memory, a controller and an interpolation processor. The at least one sensor is configured to acquire input information related to traveling of a human-powered vehicle. The memory is configured to store a first learning model trained so as to output output information related to control of a device mounted on the human-powered vehicle based on the input information acquired. The controller is configured to control the device by control data decided based on output information obtained by inputting the input information to the first learning model. The interpolation processor is configured to execute processing of interpolating the first learning model in the memory using a second learning model trained with input information in a human-powered vehicle different in at least one of the human-powered vehicle and a rider of the human-powered vehicle.

    HUMAN-POWERED VEHICLE CONTROL DEVICE

    公开(公告)号:US20220204128A1

    公开(公告)日:2022-06-30

    申请号:US17543882

    申请日:2021-12-07

    Applicant: Shimano Inc.

    Abstract: A human-powered vehicle control device is provided for controlling a human-powered vehicle. The human-powered vehicle control device includes an electronic controller that controls a human-powered vehicle component in accordance with a control state including first and second modes. The electronic controller changes a transmission ratio of a transmission device in accordance with a first shifting condition in the first mode, and changes the transmission ratio in accordance with a second shifting condition in the second mode. The electronic controller changes the first shifting condition in accordance with a converging reference value, which is related to a traveling state of the human-powered vehicle, for a case where the human-powered vehicle is in a riding converging state in the first mode, and changes the second shifting condition in accordance with a converging reference value for a case where the human-powered vehicle is in the riding converging state in the second mode.

    HUMAN-POWERED VEHICLE CONTROL DEVICE, LEARNING MODEL CREATION METHOD, LEARNING MODEL, HUMAN-POWERED VEHICLE CONTROL METHOD AND COMPUTER PROGRAM

    公开(公告)号:US20230182858A1

    公开(公告)日:2023-06-15

    申请号:US18074290

    申请日:2022-12-02

    Applicant: Shimano Inc.

    CPC classification number: B62M6/50 B62M9/133 B62M9/123

    Abstract: A human-powered vehicle control device includes an acquisition unit, a first electronic controller, an operation probability output model and a second electronic controller. The acquisition unit is configured to acquire input information related to traveling of a human-powered vehicle. The first electronic controller is configured to decide control data of a device provided at the human-powered vehicle in accordance with a predetermined control algorithm based on the input information acquired and performs automatic control on the device by the control data decided. The operation probability output model outputs a probability of a rider performing an intervening operation on automatic control of the device based on the input information. The second electronic controller is configured to change a parameter for deciding the control data in a case where a probability that is output from the operation probability output model is equal to or more than a predetermined value.

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