Abstract: A user device is identified as being operated by a vehicle occupant. An operation being performed by the user device is identified. A road condition is determined. A vehicle suspension is adjusted based at least in part on the identified user device operation and the road condition.

Abstract: A system for providing weather conditions includes a server in communication with a weather data provision service. The server includes a middleware application operable to process weather data requests. The system also includes a gps module, and at least one component control system, operable to adjust at least one parameter associated with at least one vehicle component. Finally, the illustrative system includes a vehicle computing system, in communication with the GPS module, the at least one component control system, and the server. In response to a request for data from the component control system, the vehicle computing system passes GPS data to the server, including the request for data, and the vehicle computing system responsively receives the requested data from the server. The vehicle computing system relays the received data to the component control system that requested the data.

Abstract: Information about a device may be emotively conveyed to a user of the device. Input indicative of an operating state of the device may be received. The input may be transformed into data representing a simulated emotional state. Data representing an avatar that expresses the simulated emotional state may be generated and displayed. A query from the user regarding the simulated emotional state expressed by the avatar may be received. The query may be responded to.

Abstract: Systems and methods are described for powertrain controls optimization. One method comprises adaptively learning engine settings for a sparse sample of a speed-load map, which includes engine operation at boundary conditions of a speed-load map, and generating a dynamic node look-up table based on the learned engine settings for the sparse sample. The dynamic node look-up table may provide engine settings for engine operation at speed-load points not explicitly learned during the adaptive learning.

Abstract: A method for an engine, comprising: sealing a fuel tank; and indicating fuel system degradation based on a comparison of a first correlation coefficient, determined based on a change in fuel tank pressure and a change in fuel tank temperature, to a second correlation coefficient determined based on a change in ambient pressure and a change in ambient temperature. In this way, leak tests, such as engine-off natural vacuum tests, may be performed without knowledge of the properties of the fuel stored in the fuel tank.

Abstract: Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption model that provide input to nonlinear model predictive controller.

Abstract: A vehicle system includes a processor and a memory accessible to the processor and storing computer-executable instructions. The instructions include receiving data from a plurality of vehicles, generating at least one cluster from the received data, and determining a life cycle profile for a vehicle component based on the at least one cluster. The data includes state of health information associated with the vehicle component.

Abstract: A vehicle system includes a processor and a memory accessible to the processor and storing computer-executable instructions. The instructions include receiving data from a plurality of vehicles, generating at least one cluster from the received data, and determining a life cycle profile for a vehicle component based on the at least one cluster. The data includes state of health information associated with the vehicle component.

Abstract: A system and method for controlling backlash in a vehicle powertrain includes the step of controlling a torque request of the powertrain with a first control strategy after an occurrence of a backlash predictor and prior to an occurrence of backlash. The first control strategy is modified when backlash occurs during the first control strategy. The torque request is controlled with the modified first control strategy after another occurrence of a backlash predictor and before another occurrence of backlash.

Abstract: Methods and systems are provided for improving the frequency of attempting and successfully completing one or more on-board diagnostic routines. Engine operating conditions are predicted based on a vehicle operator's driving pattern and routines are initiated if the predicted conditions match the conditions required for performing the routine. If the conditions do not match, entry and/or execution conditions of the routine are adjusted to better match the predicted conditions, so as to enable the routine to be attempted.

Abstract: A controller includes a processor programmed to determine, for a vehicle, a first control input based on input data and first reference parameters. The processor is further programmed to operate the vehicle according to the first control input. Based on operating data of the vehicle for an operating condition, the processor determines a second control input for the vehicle. Operating the vehicle according to the second control input reduces a cost of operating the vehicle relative to operating the vehicle according to the first control input. The processor is further programmed to determine, based on the second control input, second reference parameters. The controller generates a third control input based on the second reference parameters and the input data. A cost of operating the vehicle according to the third control input is reduced relative to the cost of operating the vehicle based on the first control input.

Abstract: A system includes a processor in communication with at least one input, and configured to control at least one vehicle system. The processor is further configured to receive a command including a subjective element. The processor is also configured to access a mapping associated with a user from whom the command originated to retrieve a user-specific meaning, the mapping defining user-specific meanings for at least one subjective element. Further, the processor is configured to apply a user-specific meaning to an implementation of the command, such that a vehicle system is adjusted in accordance with both the subjective element and the user-specific meaning associated therewith.

Abstract: Information about a device may be emotively conveyed to a user of the device. Input indicative of an operating state of the device may be received. The input may be transformed into data representing a simulated emotional state. Data representing an avatar that expresses the simulated emotional state may be generated and displayed. A query from the user regarding the simulated emotional state expressed by the avatar may be received. The query may be responded to.

Abstract: A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to perform the actions. One or more computer programs can be configured to perform particular operations or actions by virtue of including instructions that, when executed by data processing apparatus, cause the apparatus to perform the actions. One general aspect includes sends video data and light detecting and ranging (LIDAR) data to a recurrent neural network (rnn) that includes feedback elements to identify a roadway feature. The system also sends the data to a dynamic convolutional neural network (dcnn) to identify the feature. Output values are sent to a softmax decision network to aggregate the rnn and the dcnn output values and determine a vehicle positional location on the roadway.

Abstract: An operating mode is determined for a vehicle according to respective control states of each of a plurality of vehicle subsystems that include braking, steering, and propulsion. The operating mode is one of manual control, partial manual control, and no manual control. A route for the vehicle is determined based in part on the operating mode.

Abstract: The present disclosure relates to a connectivity system with: (a) a vehicle including an accelerator, brakes, steering, a cellular network antenna, a processor, and memory; (b) a connectivity program operatively coupled with the vehicle antenna and configured to: receive a connectivity map, sample connectivity, transmit the samples, anticipate connectivity based on the connectivity map, and generate an instruction for another program based on the anticipated connectivity.

Abstract: A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to perform the actions. One or more computer programs can be configured to perform particular operations or actions by virtue of including instructions that, when executed by data processing apparatus, cause the apparatus to perform the actions. One general aspect includes sends video data and light detecting and ranging (LIDAR) data to a recurrent neural network (rnn) that includes feedback elements to identify a roadway feature. The system also sends the data to a dynamic convolutional neural network (dcnn) to identify the feature. Output values are sent to a softmax decision network to aggregate the rnn and the dcnn output values and determine a vehicle positional location on the roadway.

Abstract: A system includes a computing device programmed to receive a set of goals for a vehicle and identify a travel area for the vehicle for a time period. The computing device receives data indicating predictability of driving conditions of the travel area and determines that the predictability is sufficient to control the vehicle according to model predictive control. Controlling the vehicle includes determining instructions to control actuators related to the steering, propulsion and braking of the vehicle to minimize a cost function. The instructions are implemented for a first time slot. The time period is updated to remove the first time slot at the beginning and include an additional time slot at the end of the predetermined time period. The computing device determines an updated control solution, and implements the updated control solution for a second time slot.

Abstract: A computer for, e.g., a mass market passenger vehicle operable by a virtual driver in autonomous and/or semi-autonomous mode, is programmed to determine that a current vehicle braking capacity exceeds each of a first braking target and a mitigation threshold at a current vehicle speed. The computer is further programmed to compare the current vehicle speed to an engine breaking threshold and generate a transmission control message providing data to operate a vehicle transmission. Where the current vehicle speed is above the engine braking threshold, the transmission control message provides data to operate the vehicle transmission to inhibit transfer of an input torque through the vehicle transmission. Additionally, where the current vehicle speed is below a wheel lock threshold, the transmission control message further provides data to operate the vehicle transmission to inhibit rotation of an output shaft of the vehicle transmission.

Abstract: A method according to an exemplary aspect of the present disclosure includes, among other things, scheduling charging of an energy storage device of an electrified vehicle based on a learned key-on pattern. The learned key-on pattern is derived by recursively updating the probability that a subsequent key-on event is likely to occur at any given time and day.