METHOD AND SYSTEM FOR TRACKING NORMAL FORCE IN ACTIVE DOWNFORCE CONTROL

    公开(公告)号:US20250019016A1

    公开(公告)日:2025-01-16

    申请号:US18350503

    申请日:2023-07-11

    Abstract: A method for downforce control includes receiving vehicle inputs. The method includes determining a first normal-force request at the front axle and a second normal-force request at the rear axle using the purality of vehicle inputs and a prediction model. The prediction model is a combined state space model that integrates a half-car state space model and an actuator state space model, the half-car state space model is developed using a half-car model, and the actuator state space model is developed using a neural network model. The method further includes determining a first position of the first aerodynamic body relative to the vehicle body and a second position of the second aerodynamic body relative to the vehicle body based on the first normal-force request and the second normal-force request, respectively.

    FAULT REMEDIATION SYSTEM FOR A VEHICLE
    19.
    发明公开

    公开(公告)号:US20240161556A1

    公开(公告)日:2024-05-16

    申请号:US18055479

    申请日:2022-11-15

    CPC classification number: G07C5/0808

    Abstract: A fault remediation system for a vehicle includes one or more controllers in electronic communication with one or more consumed interfaces and one or more provided interfaces. The one or more controllers execute instructions to receive, from the one or more consumed interfaces, a consumed signal and perform fault detection upon the consumed signal to determine the presence of an active fault within the consumed signal. In response to detecting an active fault with the consumed signal, the one or more controllers select a remediation state from a group of two or more prospective remediation states based on a significance analysis of the consumed signal. The one or more controllers evaluate a relevant subfunction that corresponds to the consumed signal that the remediation state addresses for the presence of remediation tolerance and generates arbitration instructions based on the remediation tolerance.

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