A method for operating a brake system of a motor vehicle includes actuating a first actuating device of the brake system, exerting an electromechanical braking force to decelerate the motor vehicle in an event of a fault in the hydraulic braking device and when the first actuating device is actuated, and generating the electromechanical braking force after a start of the actuation of the first actuating device for a minimum generation period and/or generating the electromechanical braking force after an end of the actuation of the first actuating device for an additional continued generation period. The brake system includes a hydraulic braking device, an electromechanical braking device, and a first actuating device, in particular a brake pedal.

A method for operating a motor vehicle, the motor vehicle has a control device and a drive train. The drive train includes as components a motor, a clutch, and at least one wheel. The motor is coupled to the at least one wheel via the clutch. The control device controls a rotational speed of the at least one wheel based on a rotational speed specification using a model mapping the drive train of the motor vehicle. A torque generated by the motor is influenced as the manipulated variable as a function of at least one state variable of the drive train determined on the basis of the model.

Provided is an automatic driving system based on a model predictive control, the automatic driving system where, in an event of a failure of an actuator, identification between a real vehicle and a vehicle model is simplified. Based on information regarding the failure of the actuator, the automatic driving system updates a spot in the vehicle model, the spot corresponding to the spot of failure detected, to a fixed value, and causes an actuator control device for the actuator, where the failure is detected, to fix a command value that is overwritten in accordance with a state of the actuator. With this configuration, the identification between the real vehicle and the vehicle model is simplified.

A system can include a solenoid manifold including a plurality of solenoid valves to control fluid flow between a tube and a plurality of nozzles, wherein one end of the tube is connected to a pump and the other end of the tube is connected to an inlet of the solenoid manifold; and a controller programmed to determine whether at least one solenoid valve of the plurality of solenoid valves is incorrectly in an open position based on pressure measurements representing a fluid pressure within the tube.

The technology relates to determining whether a vehicle operating in an autonomous driving mode is experiencing an anomalous condition, for instance due to a loss of tire pressure, a mechanical failure, or a shift or loss of cargo. The actual current pose of the vehicle is compared to an expected pose of the vehicle, where the expected pose is based on a model of the vehicle. If a pose discrepancy is identified, the anomalous condition is determined from information associated with the pose discrepancy. The vehicle is then able to take corrective action based on the nature of the anomalous condition. The corrective action may include making a real-time driving change, modifying a planned route, alerting a remote operations center, or communicating with one or more other vehicles.

Provided are a safety control system and method for an autonomous vehicle. The safety control system includes a sensor installed in a vehicle and including at least a camera and a light detection and ranging (LiDAR), a main domain control unit (DCU) configured to control autonomous driving from an origin to a destination on the basis of various kinds of information transferred through communication with the sensor, and a redundancy DCU configured to ensure safety of the vehicle by performing a safety function when an event occurs in the autonomous driving due to a fault of the main DCU. According to this configuration, the main DCU and the redundancy DCU are provided, and thus it is possible to simultaneously ensure a fully autonomous driving function and a system safety control function.

A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.

A method for operating a motor vehicle, the motor vehicle has a control device and a drive train. The drive train includes as components a motor, a clutch, and at least one wheel. The motor is coupled to the at least one wheel via the clutch. The control device controls a rotational speed of the at least one wheel based on a rotational speed specification using a model mapping the drive train of the motor vehicle. A torque generated by the motor is influenced as the manipulated variable as a function of at least one state variable of the drive train determined on the basis of the model.

A method detects unintended acceleration of a motor vehicle during a closed-loop speed control mode by determining external forces on the vehicle via a controller, and then calculating a desired acceleration using a measured vehicle speed and the external forces. The method includes determining an actual acceleration of the vehicle, including filtering a speed signal as a first actual acceleration value and/or measuring a second actual acceleration value using an inertial measurement unit (IMU). During the speed control mode, the method includes calculating an acceleration delta value as a difference between the desired acceleration and the actual acceleration, and then using the acceleration delta value to detect the unintended acceleration during the speed control mode. A powertrain system for the motor vehicle, e.g., an electric vehicle, includes the controller and one or more torque generating devices coupled to road wheels of the vehicle.

Methods and systems are for securing a vehicle. In an exemplary embodiment, the vehicle includes a body, a drive system, a braking system, and a processor. The drive system is configured to generate movement of the body, and includes a motor. The braking system includes friction brakes that provide friction braking. The processor is disposed onboard the vehicle, coupled to the motor, and is configured to at least facilitate: determining that a loss in friction braking has occurred while the vehicle is being stopped; and providing instructions to the motor for providing propulsion torque, thereby securing the vehicle at a stop, when it is determined that the loss in friction braking has occurred; wherein the motor is further configured to execute the instructions provided by the processor for providing the propulsion torque.