Patent classifications
B60W50/038
SENSOR DEGRADATION MONITOR
Techniques for determining a degraded state associated with a sensor are discussed herein. For example, a sensor associated with vehicle may captured data of an environment. A portion of the data may represent a portion of the vehicle. Data associated with a region of interest can be determined based on a calibration associated with the sensor. For example, in the context of image data, image coordinates may be used to determine a region of interest, while in the context of lidar data, a beam and/or azimuth can be used to determine a region of interest. A data metric can be determined for data in the region of interest, and an action can be determined based on the data metric. For example, the action can include cleaning a sensor, scheduling maintenance, reducing a confidence associated with the data, or slowing or stopping the vehicle.
Automated vehicle safety response methods and corresponding vehicle safety systems with serialized computing architectures
Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure—despite failure of the vehicle component/system—continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.
Cooling control systems
- Edward Thomas Petrak ,
- Jason Strode ,
- Henry Todd Young ,
- Timothy Warren Brown ,
- Jason Daniel Kuttenkuler ,
- Robert John Zill, Jr. ,
- Kenneth Paul Nedley ,
- Jeffrey John Wolff ,
- Pritamkumar Gangwal ,
- Janaki Gadiyaram ,
- Maryam Abdollahi ,
- Joseph Audu Ishaku ,
- Christian Roland Tollefson ,
- Lindsey Dodis ,
- Shivakumar Katukam
Cooling control systems described herein detect decreased operation of a cooling system of a vehicle, restrict movement of the vehicle without stopping movement responsive to decreased operation of the cooling system, and restrict movement of the vehicle by preventing the vehicle from traveling at a speed and/or power output for a non-zero designated period of time. This can allow for the vehicle to continue moving for a temporary period of time to avoid blocking traffic. Other control systems determine predicted distances and/or times that the vehicle can continue moving before coolant in the cooling system decreases below a designated threshold. Movement of the vehicle can be changed responsive to an upcoming distance and/or time that the vehicle is to travel exceeding the predicted distance and/or time. Other control systems modify a coolant flow rate based on differences between designated and ambient conditions.
Cooling control systems
- Edward Thomas Petrak ,
- Jason Strode ,
- Henry Todd Young ,
- Timothy Warren Brown ,
- Jason Daniel Kuttenkuler ,
- Robert John Zill, Jr. ,
- Kenneth Paul Nedley ,
- Jeffrey John Wolff ,
- Pritamkumar Gangwal ,
- Janaki Gadiyaram ,
- Maryam Abdollahi ,
- Joseph Audu Ishaku ,
- Christian Roland Tollefson ,
- Lindsey Dodis ,
- Shivakumar Katukam
Cooling control systems described herein detect decreased operation of a cooling system of a vehicle, restrict movement of the vehicle without stopping movement responsive to decreased operation of the cooling system, and restrict movement of the vehicle by preventing the vehicle from traveling at a speed and/or power output for a non-zero designated period of time. This can allow for the vehicle to continue moving for a temporary period of time to avoid blocking traffic. Other control systems determine predicted distances and/or times that the vehicle can continue moving before coolant in the cooling system decreases below a designated threshold. Movement of the vehicle can be changed responsive to an upcoming distance and/or time that the vehicle is to travel exceeding the predicted distance and/or time. Other control systems modify a coolant flow rate based on differences between designated and ambient conditions.
POWERTRAIN CONTROL TO PRECLUDE THERMAL-RELATED REDUCED OPERATION
A vehicle may include an engine, a traction battery, an electric motor, an electric cooling system, and a controller. The electric motor selectively converts torque from the engine to electric power and converts electric power from the traction battery to drive torque for the vehicle. The electric cooling system, responsive to a temperature of the traction battery exceeding a first threshold, cools the traction battery using the electric power. The controller, responsive to the temperature exceeding a second threshold less than the first threshold and accessory loads exceeding a third threshold, operates one or both of the engine and traction battery to maintain the temperature below the first threshold.
METHOD FOR SENSING FAILURE OF HYBRID VEHICLE
A method may include distributing target torque to target engine torque of an engine and target motor torque of a motor according to a predetermined control logic according to driver demand torque, comparing torques which determines whether actual torques of the engine and the motor are smaller than the target engine torque and the target motor torque, comparing whether a time period during which a state where a state where the torque of the engine or the motor is insufficient is maintained is a predetermined reference time or more, determining that any one of the engine and the motor is failed, when the time during which a state where the state where the torque of the engine or the motor is insufficient is maintained is the reference time or more, and controlling limp-home which limits the target engine torque of the engine, the target motor torque of the motor, and the regenerative braking amount of the motor.
Method for controlling a secondary energy storage
A method is provided for controlling a hybrid vehicle in an emergency situation. The hybrid vehicle includes an internal combustion engine, a rechargeable electric energy storage system, and an electrical motor drive system. The method includes detecting a failure of a control unit for controlling the electrical motor drive system, disconnecting the rechargeable electric energy storage system from the hybrid vehicle, limiting the maximum speed of the internal combustion engine from a first RPM value to a second RPM value. An apparatus is also provided for controlling a hybrid vehicle in an emergency situation.
Method for controlling a secondary energy storage
A method is provided for controlling a hybrid vehicle in an emergency situation. The hybrid vehicle includes an internal combustion engine, a rechargeable electric energy storage system, and an electrical motor drive system. The method includes detecting a failure of a control unit for controlling the electrical motor drive system, disconnecting the rechargeable electric energy storage system from the hybrid vehicle, limiting the maximum speed of the internal combustion engine from a first RPM value to a second RPM value. An apparatus is also provided for controlling a hybrid vehicle in an emergency situation.
Localization error monitoring
Localization error monitoring using vehicle state information is described. A computing system associated with a vehicle may determine a current state of the vehicle, such as a location, position, orientation, velocity, acceleration, or the like. The vehicle computing system may determine one or more metrics associated with the state of the vehicle. The metrics may include a variance associated with the state, a residual associated with a measurement corresponding to the state, or a correction factor applied to correct an input error. The computing system may determine whether the metric exceeds a threshold value. Based on a threshold exceedance, the computing system may determine one or more errors associated with a state of the vehicle. The vehicle computing system may control the vehicle based on the one or more errors.
Localization error monitoring
Localization error monitoring using vehicle state information is described. A computing system associated with a vehicle may determine a current state of the vehicle, such as a location, position, orientation, velocity, acceleration, or the like. The vehicle computing system may determine one or more metrics associated with the state of the vehicle. The metrics may include a variance associated with the state, a residual associated with a measurement corresponding to the state, or a correction factor applied to correct an input error. The computing system may determine whether the metric exceeds a threshold value. Based on a threshold exceedance, the computing system may determine one or more errors associated with a state of the vehicle. The vehicle computing system may control the vehicle based on the one or more errors.