A computing device-implemented method includes receiving data representative of one or more travel parameters for distribution ranges for a vehicle that includes a first propulsion system, and, receiving data representative of one or more travel parameters for distribution ranges for a vehicle that includes a second propulsion system. The distribution ranges for the vehicle that includes the first propulsion system are equivalent to the distribution ranges for the vehicle that includes the second propulsion system. The method also includes receiving data representative of one or more travel parameters for distribution ranges for a collection of vehicles. The distribution ranges for the collection of vehicles are equivalent to the distribution ranges for the vehicle that includes the second propulsion system.

A vehicle computer system (e.g., on-board vehicle computer system) obtains a fuel economy performance goal for a vehicle (e.g., an engine speed goal or a vehicle speed goal) that is based on a configuration of the vehicle; calculates a count of events in which a current value exceeds the goal; compares the count of events with a threshold count; and generates one or more notifications based at least in part on the comparison (e.g., for display on an operator interface). The vehicle computer system also calculates an engine speed and a vehicle speed score for a driver of the vehicle based at least in part on comparisons of current speeds with the speed goals. Scoring and other data may be displayed or stored for further processing.

Vehicles feature various forms of automated driving control, such as speed control and braking distance monitoring. However, the parameters of automated control may conflict with the user driving behaviors of the user; e.g., braking distance maintained with respect to a leading vehicle may seem overcautious to users who prefer shorter braking distances, and unsafe to users who prefer longer braking distances. Presented herein are techniques for controlling vehicles according to the user driving behaviors of users. While a user operates a vehicle in a driving context, a device monitors various driving features (e.g., acceleration or braking) to determine various user driving behaviors. When requested to control a driving feature of the vehicle, a controller may identify the user driving behaviors of the user in the driving context, and control the driving features according to the user driving behaviors, thus personalizing automated driving to the preferences of the user.

Methods for extending a range of a vehicle are disclosed and include receiving a first data, the first data being indicative of a distance of the vehicle from a target destination, receiving a second data, the second data being indicative of a level of potential energy of an energy source for a power plant of the vehicle, receiving an operating parameter indicative of estimated future energy usage of the power plant, estimating, by a processor, an expected range of the vehicle based on the second data and the estimated future energy usage of the power plant, and adjusting a performance parameter of the power plant to extend an actual range of the vehicle when the estimated expected range is less than the distance of the vehicle from the target destination are disclosed. Systems for extending the range of the vehicle are also disclosed.

A vehicle diagnosis system determines whether a vehicle has an abnormality in a temporal engine stop function or a power regeneration function that negates a greenhouse gas reduction effect of the engine. When the vehicle diagnosis system determines an abnormality, the vehicle diagnosis system provides a notification of the abnormality.

A range maximization system for a vehicle accounting for external factors may include a tire pressure sensor and a load carry sensor configured to detect information relevant to a load on the vehicle. A vehicle control unit may be configured to receive detected information from the tire pressure and load carry sensor, and configured to determine a) an expected range for the vehicle with the detected information relevant to the load and the detected tire pressure, b) a contribution of the detected information relevant to the load and the detected tire pressure to the vehicle range, and c) braking parameters, chassis parameters, and engine parameters that maximize vehicle range based on the load and tire pressure. The system may also include a display configured to display the contribution of the detected load and the detected tire pressure to the vehicle range.

A vehicle vision system for a vehicle includes an image sensor having a field of view and capturing image data of a scene exterior of the vehicle. A monitor monitors electrical power consumption of the vehicle. At least one lighting system draws electrical power from the vehicle when operated. An image processor processes image data captured by the image sensor. The electrical power drawn by the at least one lighting system is varied at least in part responsive to processing of captured image data by the image processor in order to adjust fuel consumption by the vehicle.

In exemplary embodiments, methods, systems, and vehicles are provided for controlling operation of a vehicle in a fuel economy mode. In one embodiment, a vehicle is includes a battery, a generator, and a control system for controlling operation of the vehicle in a fuel economy mode, the control system including: (i) one or more current sensors configured to measure a battery current of the battery; and (ii) a processor coupled to the one or more current sensors and configured to at least facilitate controlling operation of the battery and the generator in the fuel economy mode utilizing a dynamic voltage threshold that is adjusted based on a comparison of the battery current with a baseload current threshold.

A system comprises fuel consumption prediction circuitry and user interface circuitry. The fuel consumption prediction circuitry is operable to receive trip constraints for a trip to be made by a vehicle, and vehicle information for the vehicle. The fuel consumption prediction circuitry is operable to generate, based on the trip constraints and the vehicle information, a first trip option having a first predicted travel time and a first predicted fuel consumption, and a second trip option having a second predicted travel time and a second predicted fuel consumption. The fuel consumption prediction circuitry is operable to communicate the first trip option and the second trip option to user interface circuitry. The user interface circuitry is operable to receive the first trip option and the second trip option and present the options to a user.

Methods for management of a powertrain system in a vehicle. The methods receive data or signals from multiple sensors associated with the vehicle. Optimum thresholds for classifications of the sensor data can be changed based injecting signals into the powertrain system and receiving responsive signals. Expected priorities for the sensor signals can be altered based upon attributes of the signals and confirming actual priorities for the signals. Look-up tables for engine management can be modified based upon injecting signals into the powertrain system and measuring a utility of the responsive signals. The methods can thus dynamically alter and modify data for powertrain management, such as look-up tables, during vehicle operation under a wide range of conditions.