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: This disclosure generally relates to a system, apparatus, method, and process for generating a route based energy consumption estimation based on physical models. More particularly, the disclosure describes the generation of the route based energy consumption estimation based on physical models for a vehicle traveling on a specific road segment. The energy consumption estimation may be based on information related to historical energy consumption information for the vehicle, external information that may affect energy consumption by the vehicle, vehicle systems information that may affect energy consumption by the vehicle, and/or selected road segment information that may be used to predict energy consumption by the vehicle.

Abstract: A pressure of a spare tire of a vehicle is determined. Whether the spare tire is installed is determined based at least in part on the pressure. A vehicle subsystem is actuated based at least in part on whether the spare tire is installed.

Abstract: A vehicle system includes a processor having a memory. The processor is programmed to predict a vehicle key-on time based on a next destination of a vehicle. The processor is further programmed to request, at a predetermined amount of time before the key-on time, optimization data from a remote server.

Abstract: A system comprising a processor is programmed to receive, from a plurality of vehicles, sets of diagnostic test data relating to a performed diagnostic test. Each set of diagnostic test data includes a test output value and one or more corresponding test condition values. The processor is further programmed to select some of the test output values based on selecting a function to relate the test output value to test output values from different sets of diagnostic data. The processor is further programmed to provide the test output value and the corresponding test conditions values as input to the selected function to obtain a plurality of scaled test output values; and generate an adjustment to the diagnostic test based at least in part on the scaled test output values.

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 vehicle computing device has a data storage medium and a processing device programmed to execute instructions stored on the data storage medium. The instructions include detecting an emergency vehicle near an autonomous host vehicle, receiving operational data from nearby vehicles, and transmitting the operational data to the emergency vehicle. The operational data indicates whether one or more of the nearby vehicles is operating in an autonomous mode.

Abstract: A method for a vehicle, comprising: initiating an engine-off natural vacuum test based on an ambient temperature change potential over a testing duration. The ambient temperature change potential may be based on historic weather data and further based on forecast weather data. In this way, the engine-off natural vacuum test may be executed only when conditions favor an in-tank temperature change significant enough to cause a threshold change in fuel tank pressure, thus reducing the number of aborted tests and increasing the test's overall performance metrics.

Abstract: A method for a vehicle, comprising: during a first condition, closing a canister vent valve responsive to an engine-off event without initiating an engine-off natural vacuum test; during a second condition, following the first condition, closing the canister vent valve responsive to a vehicle-off event; and then initiating an engine-off natural vacuum test. In this way, the completion percentage of the engine-off natural vacuum test will increase.

Abstract: Methods and systems are provided for conducting an engine-off natural vacuum test and filtering the output of the EONV test based on a variable weighting factor. In one example, one or more EONV test entry conditions are evaluated with one or more membership functions corresponding to the indicated result of the EONV test to obtain an overall confidence value that is used to modify the weighting factor. In this way, the filtered EONV output reflects the confidence in the test results, and as such a malfunction indicator light may be more appropriately set as compared to conditions wherein filtered EONV output is not based on confidence in the test results.

Abstract: A vehicle system includes at least one environmental sensor and a processing device. The environmental sensor is programmed to collect traffic information. The processing device is programmed to receive the traffic information, generate a traffic complexity index based at least in part on the traffic information, compare the traffic complexity index to a predetermined threshold, and generate a traffic alert signal if the traffic complexity index exceeds the predetermined threshold.

Abstract: A vehicle system having at least one sensor configured to output a range signal and a range-rate signal. The range signal represents a distance from a host vehicle to the front vehicle and the range-rate signal represents range-rate information of the front vehicle relative to the host vehicle. A processing device is configured to output a control signal based on the range signal and the range-rate signal. The control signal commands an engine of the host vehicle to start.

Abstract: A method is provided, comprising terminating a pressure rise portion of an engine-off natural vacuum test based on an initial rate of change of a fuel system pressure upon sealing a fuel system; and initiating a vacuum portion of the engine-off natural vacuum test responsive to suspending the pressure rise portion. The initial rate of change may indicate a likelihood of the pressure rise portion reaching a pressure rise threshold. In this way, the vacuum portion of the test may be initiated earlier, increasing the likelihood of a conclusive result being obtained during a test time limit.

Abstract: A vehicle powertrain controller includes a fuzzy logic-based adaptive algorithm with a learning capability that estimates a driver's long term driving preferences. An adaptive algorithm arbitrates competing requirements for good fuel economy, avoidance of intrusiveness and vehicle drivability. A driver's acceptance or rejection of advisory information may be used to adapt subsequent advisory information to the driving style. Vehicle performance is maintained in accordance with a driver's driving style.

Abstract: A method for controlling a vehicle includes automatically activating a first mode of operation of a vehicle, determining if a driver does not prefer the automatically activated first mode of operation, and automatically transitioning to a second mode of operation based on the determination.

Abstract: A method for a fuel system comprises indicating a leak in the fuel system based on a pressure change rate distribution during a first condition including a sealed fuel system and a pressure change rate within a threshold of zero. By indicating a leak based on a pressure change rate distribution rather than through simple thresholding, an engine-off natural vacuum test may be performed in a greater range of conditions. In this way, the execution rate of the test may be increased while maintaining or improving the leak detection rate and reducing the misclassification rate.

Abstract: Described herein is a route and model based energy estimation system and methods therein for predicting an energy consumption of a vehicle for a selected road segment. The predicted energy consumption may be generated for the vehicle based on information specifically related to the vehicle, such as historical energy consumption information for the vehicle, external information that may affect energy consumption by the vehicle, vehicle information, and/or selected road segment information.

Abstract: This disclosure generally relates to a system, apparatus, method, and process for generating a route based energy consumption estimation based on physical models. More particularly, the disclosure describes the generation of the route based energy consumption estimation based on physical models for a vehicle traveling on a specific road segment. The energy consumption estimation may be based on information related to historical energy consumption information for the vehicle, external information that may affect energy consumption by the vehicle, vehicle systems information that may affect energy consumption by the vehicle, and/or selected road segment information that may be used to predict energy consumption by the vehicle.

Abstract: A method for a vehicle, comprising: initiating an engine-off natural vacuum test based on an ambient temperature change potential over a testing duration. The ambient temperature change potential may be based on historic weather data and further based on forecast weather data. In this way, the engine-off natural vacuum test may be executed only when conditions favor an in-tank temperature change significant enough to cause a threshold change in fuel tank pressure, thus reducing the number of aborted tests and increasing the test's overall performance metrics.

Abstract: An example method of crowd-sourcing energy consumption data for vehicles includes controlling a vehicle in response to a predicted energy consumption that is continually updated based on a difference between a previous predicted energy consumption and a previous actual base energy consumption. Another example method of routing a vehicle includes changing a route for a vehicle in response to a predicted energy consumption for the vehicle when travelling the route, the predicted energy consumption based on a difference between a previous predicted energy consumption and a previous actual base energy consumption.