Abstract: Data about vehicle movement at a stoplight are collected. A stoplight cycle time is predicted with a probability model. The data are compared to the predicted stoplight cycle time. A noise function is applied to the data to generate noise-applied data. The probability model for the predicted stoplight cycle time is updated by scaling the probability model with the noise-applied data to generate a new probability model. A recommended vehicle operation is provided via a network to at least one vehicle computer based on the predicted stoplight cycle time determined by the new probability model.

Abstract: A system may include a plurality of vehicle sensor and a computer comprising a processor and memory storing instructions executable by the processor. One of the instruction may comprise to determine a driving responsiveness (DR) value using a weighted sum comprising indices of a transition probability matrix (Q), Q being derived from likelihood of transition data (?) between a plurality of driving modes from a set of interacting multiple model (IMM) instruction.

Abstract: Method and apparatus are disclosed for a speed controller for a vehicle. An example disclosed vehicle includes a power train control unit and an autonomy unit. The example power train control unit controls a speed of the vehicle based on a control signal. The example autonomy unit (a) receives a speed profile based on a preview of traffic information from an profile generator on an external network, and (b) based on vehicle dynamic data and the speed profile, generate the control signal to control the speed of the vehicle according to the speed profile.

Abstract: A system, comprising a first computer that includes a processor and a memory. The memory stores instructions executable by the processor to input an expected control input to a second computer, and then, to determine a response resulting from the expected control input. The memory stores instructions to determine a compensated control input based on the expected control input and the response, and to input the compensated control input to the second computer to achieve the expected control input. The second computer is provided to actuate a vehicle component to achieve the expected control input.

Abstract: A system includes a processor configured to access a schedule of vehicle start times. The processor is also configured to select a scheduled key-on time, when a current time is within a tunable proximity to the scheduled key-on time. Further, the processor is configured to determine if a present vehicle-related temperature warrants vehicle preconditioning and precondition the vehicle until preset preconditioning settings are established.

Abstract: Methods and systems are provided for controlling a variable camshaft timing system. In one example, a method may include actuating a camshaft phaser with a camshaft duty cycle determined based on a sampled camshaft position and an estimated camshaft position, the estimated camshaft position determined based on a previously determined camshaft duty cycle.

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 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 method for operating an actuator is disclosed. The actuator may be a linear or non-linear actuator. In one example, a pseudo-inverse piecewise bilinear model is adapted in response to output of a feedback controller to improve feed forward control.

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 while preventing the unnecessary downshifts. 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 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: A selection for a shared vehicle is received. Whether the shared vehicle is in view of a user device camera is determined. At least one of directions to the shared vehicle are provided to the user device. Data of the shared vehicle are identified.

Abstract: Methods and systems are provided for controlling a variable camshaft timing system. In one example, a method may include actuating a camshaft phaser with a camshaft duty cycle determined based on a sampled camshaft position and an estimated camshaft position, the estimated camshaft position determined based on a previously determined camshaft duty cycle.

Abstract: A method and a system augment or improve a distance until charge (DUC) estimation for a vehicle such as a plug-in hybrid electric vehicle (PHEV) by using location information. Such location information may be provided by a global positioning system (GPS) or the like associated with the vehicle. The method and the system generally estimate the DUC value as a function of past driving pattern historical data that is relevant to a current driving situation. To this end, the method and the system ignore past driving pattern historical data that is not relevant to the current driving situation when estimating the DUC value.

Abstract: Method and system are provided for vehicle route planning based on adaptive model predictive control. In one example, a method may include real-time online identification of the vehicle model base on the vehicle inputs and outputs; compression of the input space to increase the optimization efficiency; and optimization of the route planning based on the model parameter of the vehicle and the known road grade.

Abstract: Method and apparatus are disclosed for a speed controller for a vehicle. An example disclosed vehicle includes a power train control unit and an autonomy unit. The example power train control unit controls a speed of the vehicle based on a control signal. The example autonomy unit (a) receives a speed profile based on a preview of traffic information from an profile generator on an external network, and (b) based on vehicle dynamic data and the speed profile, generate the control signal to control the speed of the vehicle according to the speed profile.

Abstract: Disclosed is a vehicle including: motor(s), sensors, processor(s) configured to: (a) periodically update a table with present coordinates; (b) compare the tabled coordinates to an intersection boundary; (c) select a portion of the tabled coordinates based on the comparison; (d) transmit the selected portion to server(s). The processor(s) may configured to periodically connect a series of the tabled coordinates with a virtual and continuous line and determine whether any portion of the line falls within the intersection boundary, and if so, select the portion of the tabled coordinates.

Abstract: Methods and systems are provided for diagnosing a fault condition of an exhaust gas oxygen sensor downstream of a catalyst in an exhaust system of a vehicle. In one example, a method may include determining a ratio of a rate of change of a fractional oxidation state of the catalyst to a rate of change of an output voltage of the oxygen sensor. If the ratio is positive, a fault is diagnosed and subsequent adjustment of engine operation does not take into account feedback from the oxygen sensor.

Abstract: Methods and systems are provided for diagnosing a fault condition of an exhaust gas oxygen sensor downstream of a catalyst in an exhaust system of a vehicle. In one example, a method may include determining a ratio of a rate of change of a fractional oxidation state of the catalyst to a rate of change of an output voltage of the oxygen sensor. If the ratio is positive, a fault is diagnosed and subsequent adjustment of engine operation does not take into account feedback from the oxygen sensor.

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.