ADAPTIVE PEDAL ASSIST SYSTEMS AND CONTROL LOGIC FOR INTELLIGENT E-BIKES

    公开(公告)号:US20190315431A1

    公开(公告)日:2019-10-17

    申请号:US15955177

    申请日:2018-04-17

    Abstract: Presented herein are adaptive power assist systems for manually-powered vehicles, methods for operating/constructing such systems, and motorized operator-powered vehicles with adaptive power assist systems. A method for regulating a power assist system of a manually powered vehicle includes a vehicle controller determining path plan data that includes a predicted route plan to traverse from a current vehicle location to a desired vehicle destination. A resident wireless communications device receives, from a remote computing node, an assist level power trace for operating the vehicle's tractive motor on the predicted route plan. The vehicle controller receives health level data specific to the vehicle user, determines a power assist delta based on the health level data, and modifies the assist level power trace based on this power assist delta. The vehicle controller transmits command signals to the tractive motor to output a selectively variable torque according to the modified assist level power trace.

    SYSTEM FOR FUSING TWO OR MORE VERSIONS OF MAP DATA

    公开(公告)号:US20240385010A1

    公开(公告)日:2024-11-21

    申请号:US18318247

    申请日:2023-05-16

    Abstract: A system for fusing two or more versions of map data together includes one or more central computers that receive road network data representing a road network for a predefined geofenced area. The central computers compute a plurality of points that are each positioned at a predetermined distance from one another. The central computers create a plurality of bounding boxes for the road network based on the plurality of points and create a set of closest matched map data points for each bounding box that is part of the road network by executing a map-matching registration algorithm to align the two or more versions of map data with one another. The central computers execute a maximum likelihood estimation algorithm to determine probability distribution parameters of the set of closest matched map data points compared to the ground truth map data.

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