Abstract:
A perception module of a spatial monitoring system to monitor and characterize a spatial environment proximal to an autonomous vehicle is described. A method for evaluating the perception module includes capturing and storing a plurality of frames of data associated with a driving scenario for the autonomous vehicle, and executing the perception module to determine an actual spatial environment for the driving scenario, wherein the actual spatial environment for the driving scenario is stored in the controller. The perception module is executed to determine an estimated spatial environment for the driving scenario based upon the stored frames of data associated with the driving scenario, and the estimated spatial environment is compared to the actual spatial environment for the driving scenario. A first performance index for the perception module is determined based upon the comparing, and a fault can be detected.
Abstract:
Methods and systems are provided for vehicular communications. The systems include a server and a controller in a vehicle. The controller is configured to receive data from vehicular components and transmit the data to the remote server. In a normal mode, the data is transmitted in accordance with a normal frequency of events, while in an abnormal mode, the data is transmitted in accordance with an abnormal frequency of events. The abnormal frequency is different from the normal frequency. The abnormal mode is set in response to an event trigger denoting a fault of at least one component.
Abstract:
A method and system for estimating the state of health of an object sensing fusion system. Target data from a vision system and a radar system, which are used by an object sensing fusion system, are also stored in a context queue. The context queue maintains the vision and radar target data for a sequence of many frames covering a sliding window of time. The target data from the context queue are used to compute matching scores, which are indicative of how well vision targets correlate with radar targets, and vice versa. The matching scores are computed within individual frames of vision and radar data, and across a sequence of multiple frames. The matching scores are used to assess the state of health of the object sensing fusion system. If the fusion system state of health is below a certain threshold, one or more faulty sensors are identified.
Abstract:
An embodiment contemplates a method of determining a state-of-charge of a battery for a vehicle. (a) An OCV is measured for a current vehicle ignition startup after ignition off for at least eight hours. (b) An SOCOCV is determined for the current vehicle ignition startup. (c) An SOCOCV—est is determined for a current vehicle ignition startup. (d) A determination is made whether the difference in the SOCOCV for the current startup and the SOCOCVest for the current startup is less than a predefined error bound using. Steps (a)-(d) is performed in response to the difference being greater than the predefined error; otherwise, determining an ignition-off current for the current vehicle ignition startup as a function of the SOCOCV of the current vehicle ignition startup and previous vehicle ignition startup, and a SOC based on current integration over time. Determining an SOCest of the current vehicle ignition startup using the processor.
Abstract:
In various embodiments, methods, systems, and vehicles are provided for determining a fault in a suspension system of a vehicle. In an exemplary embodiment, sensor data is obtained via one or more vehicle sensors during operation of the vehicle; a one or more first coefficients for the vehicle are calculated via a processor using a pitch model with the sensor data; one or more second coefficients for the vehicle are calculated via the processor using a roll model with the sensor data; and a fault in the suspension system is determined via the processor using the first coefficients and the second coefficients.
Abstract:
A method of identifying a fault in a friction brake actuated by hydraulic brake pressure and configured to decelerate a vehicle road wheel includes detecting, via a first sensor, a vibration at the road wheel and communicating data indicative of the detected vibration to a controller. The method additionally includes detecting, via a second sensor, upon application of the hydraulic brake pressure, a hydraulic brake pressure variation and communicating data indicative of the detected hydraulic brake pressure variation. The method additionally includes comparing, via the controller, the data indicative of the detected vibration with a threshold vibration value and the data indicative of the detected hydraulic brake pressure variation with a threshold hydraulic brake pressure value. Furthermore, the method includes generating a sensory signal indicative of the brake fault when magnitudes of the detected vibration and the detected hydraulic brake pressure variation are greater than their respective threshold values.
Abstract:
An autonomic vehicle control system includes a perception module of a spatial monitoring system that is disposed to monitor a spatial environment proximal to the autonomous vehicle. A method for evaluating vehicle dynamics operation includes determining a desired trajectory for the autonomous vehicle, wherein the desired trajectory includes desired vehicle positions including an x-position, a y-position and a heading. Vehicle control commands are determined based upon the desired trajectory, and include a commanded steering angle, an acceleration command and a braking command. Actual vehicle states responsive to the vehicle control commands are determined. An estimated trajectory is determined based upon the actual vehicle states, and a trajectory error is determined based upon a difference between the desired trajectory and the estimated trajectory. The trajectory error is monitored over a time horizon, and a first state of health (SOH) is determined based upon the trajectory error over the time horizon.
Abstract:
A system and method for determining and detecting a suspension system fault using visual sensor data. The system and method are operative to detect a horizon in response to an image using image processing techniques, compare the detected horizon to an expected or calculated horizon and to determine a faulty suspension component in response to a deviation of the detected horizon from the expected horizon.
Abstract:
A perception module of a spatial monitoring system to monitor and characterize a spatial environment proximal to an autonomous vehicle is described. A method for evaluating the perception module includes capturing and storing a plurality of frames of data associated with a driving scenario for the autonomous vehicle, and executing the perception module to determine an actual spatial environment for the driving scenario, wherein the actual spatial environment for the driving scenario is stored in the controller. The perception module is executed to determine an estimated spatial environment for the driving scenario based upon the stored frames of data associated with the driving scenario, and the estimated spatial environment is compared to the actual spatial environment for the driving scenario. A first performance index for the perception module is determined based upon the comparing, and a fault can be detected.
Abstract:
An electric machine assembly having an electric machine and a controller-based method for isolating a particular fault condition in the electric machine. A plurality of current sensors is configured to output respective measured currents in respective phases of the electric machine. A position sensor is configured to output a rotor position of the electric machine. A controller is configured to group the respective measured currents into respective combinations of two. The controller is configured to calculate respective residual factors (Ri), and a global residual factor (G) based on the respective residual factors (Ri). Responsive to at least three of the global residual factor (G) and the respective residual factors (Ri) exceeding respective calibrated error thresholds, the controller is configured to identify a particular fault condition from among a plurality of possible fault conditions and execute a control action with respect to the electric machine.