A vehicle includes a fault-tolerant braking system that controls a brake assembly which is configured to adjust a braking force applied to one or more wheels. The fault-tolerant braking system further includes a brake-by-wire (BBW) system and a vehicle control module (VCM). The BBW system is configured to control the brake assembly in response to a braking request. The VCM is configured to detect a fault of at least one of the brake assembly and the BBW system. In response to detecting the fault, the VCM selectively operates the vehicle between a normal operating mode and at least one degraded driving mode that limits operation of at least one of the vehicle engine and the vehicle transmission compared to the normal operating mode.

Methods and systems are provided for estimating a level of water in real time for a vehicle and using the said estimation to perform one or more vehicle control strategies. In one example, a method may include adjusting a valve in a fuel system of the vehicle responsive to a level of water through which the vehicle is passing. In this way, water inhalation into the vehicle fuel system may be avoided.

A control system in a vehicle includes a sensor and a control module. The sensor is programmed to detect an impact to the vehicle while the vehicle is in a key-off state and output an impact signal in response to detecting the impact. The control module is programmed to activate in response to the impact signal, receive a condition signal identifying a vehicle condition, and prevent at least one vehicle operation based at least in part on the condition signal.

A sensor failure compensation system for an automated vehicle includes first and second sensors, and a controller. The first sensor is configured to monitor a first condition and output a first signal associated with the first condition. The second sensor is configured to monitor a second condition and output a second signal associated with the second condition. The controller is configured to receive and process the first signal to establish a first reaction relative to the first condition and toward reaching a goal, receive and process the second signal to establish a second reaction relative to the second condition and toward reaching the goal, and establish a third reaction relative to the second condition and toward reaching the goal if the first sensor is malfunctioning.

A limp home mode drive method and system for a hybrid vehicle are provided. The method includes prohibiting an operation of an overdrive brake that is included in a transmission for the hybrid vehicle and is driven by an electric oil pump when the hybrid vehicle is being driven and the electric oil pump is not operated. A speed of the hybrid vehicle is then limited based on a heat value of a rotation driver included in the transmission and a torque of a drive motor driving the transmission is limited based on a temperature of the drive motor. A mechanical oil pump included in the hybrid vehicle is operated to enable limp home driving of the hybrid vehicle.

A multiply-redundant system that prevents a driver from starting and/or moving a vehicle if a compressed natural gas fill system is not correctly and completely disconnected from the vehicle. One or more sensors in combination with one or more optional microswitches combine to lock-out the vehicle's ignition or otherwise prevent it from starting and/or moving. For different levels of safety, different combinations of sensors can be used with the lowest level having a single proximity sensor sensing the presence or absence of a high-pressure fill hose. The highest level of safety being achieved by having separate proximity sensors on the fuel fill hose fitting, the gas cap cover and a manual safety valve along with a redundant microswitch. An optional override that may be restricted as to the number of times it can be used can allow starting with a faulty sensor in order to allow maintenance.

A limp-home control method and a system for hybrid vehicles which can minimize vehicle vibration (jerk) and improve operability by driving an engine with counter electromotive force and locking up an engine clutch with a difference between an engine speed and a motor speed minimized when a high voltage to an inverter is interrupted due to a failure of a high voltage system of the hybrid vehicle.

A vehicular active air flap assembly capable of being opened or closed during a failure may include an air flap that can be manually opened to allow air required during the operation of the vehicle to be supplied into the engine compartment even when the air flap malfunctions, wherein the vehicular active air flap assembly is configured to operate the air flap mounted on a hole formed in a radiator grill to allow cooling air to be supplied into an engine compartment of a vehicle or block the supply of cooling air and wherein the air flap is rotatably coupled at opposite end portions thereof to the radiator grill, and at least one end portion thereof is mounted to be movable in a front-rear direction of the vehicle.

A vehicle includes: at least one rotary electric machine; an inverter that drives the rotary electric machine; a capacitor connected between a paired electric power lines that is connected to the inverter; and a control unit. When a vehicle collision is detected, the control unit executes first control for discharging electric charges stored in the capacitor by performing a switching operation of the inverter so as to prevent a flow of a q-axis current but cause a flow of a d-axis current to the rotary electric machine. The control unit stops the first control in a specified case and executes second control for performing the switching operation of the inverter so as to reduce the current flowing through the rotary electric machine to be lower than that during execution of the first control. The control unit executes third control for shutting down the inverter after execution of the second control.

A method for predicting a failure of a power control unit of a vehicle is provided. The method includes obtaining data from a plurality of sensors of the power control unit of a vehicle subject to simulated multi-load conditions, implementing a machine learning algorithm on the data to obtain machine learning data, obtaining new data from the plurality of sensors of power control unit of the vehicle subject to real multi-load conditions, implementing the machine learning algorithm on the new data to obtain test data, predicting a failure of the power control unit based on a comparison between the test data and the machine learning data.