Fault remediation system for a vehicle

    公开(公告)号:US12217558B2

    公开(公告)日:2025-02-04

    申请号:US18055479

    申请日:2022-11-15

    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.

    DRIVER COMMAND PREDICTION
    3.
    发明申请

    公开(公告)号:US20230055066A1

    公开(公告)日:2023-02-23

    申请号:US17406729

    申请日:2021-08-19

    Abstract: A driver command predictor includes a controller, multiple sensors, and a command prediction unit. The controller is configured to command an adjustment of multiple motion vectors of a vehicle relative to a roadway in response to multiple actual driver commands and multiple future driver commands. The actual driver commands are received at a current time. The future driver commands are received at multiple update times. The update times range from the current time to a future time. The sensors are configured to generate sensor data that determines multiple actual states of the vehicle in response to the motion vectors as commanded. The command prediction unit is configured to generate the future driver commands at the update times in response to a driver model. The driver model operates on the actual driver commands and the actual states to predict the future driver commands at the update times.

    METHOD AND SYSTEM FOR DATA DRIVEN DOWNFORCE CONTROL

    公开(公告)号:US20240286690A1

    公开(公告)日:2024-08-29

    申请号:US18173925

    申请日:2023-02-24

    CPC classification number: B62D37/02 B62D35/005 B62D35/007

    Abstract: A method for data driven downforce control of a vehicle includes receiving a first requested downforce at the front axle of a vehicle and a second requested downforce at the rear axle of the vehicle. The method further includes using a model-based control to determine 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 requested downforce and the second requested downforce. The model-based control is based on a predetermined aerodynamic map. The method includes commanding the first aerodynamic actuator to move the first aerodynamic body to the first position. The method includes commanding the second aerodynamic actuator to move the second aerodynamic body to the second position.

    METHOD AND SYSTEM FOR DOWNFORCE ESTIMATION USING A HALF-CAR MODEL WITH A DATA DRIVEN UNCERTAINTIES ESTIMATOR

    公开(公告)号:US20250022324A1

    公开(公告)日:2025-01-16

    申请号:US18350491

    申请日:2023-07-11

    Abstract: A method for downforce control includes receiving a plurality of vehicle inputs from a vehicle. The plurality of vehicle inputs includes sensor data from a plurality of sensors of the vehicle. The method further includes determining a downforce acting on the vehicle, by: (a) determining a predicted half-car model uncertainties using a neural network; and (b) determining a front normal force at the front axle and a rear normal force at the rear axle using the vehicle inputs, the predicted half-car model uncertainties, and a half-car 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 front normal force at the front axle and a rear normal force at the rear axle, respectively.

Patent Agency Ranking