A fuel efficiency estimation system includes a traveling velocity calculation unit (233) to store a link traveling velocity (331) for each link as a road section configuring a road in a traveling velocity DB (252) and a traveling velocity extraction unit (243) to extract, based on a traveling route (411), a link traveling velocity (331) on a link included in the traveling route (411) from the traveling velocity DB (252). The fuel efficiency estimation system also includes a velocity profile generation unit (244) to generate a velocity profile (441) indicating a change in velocity of a motor vehicle traveling the traveling route (411) by using the link traveling velocity (331) and an estimated fuel efficiency calculation unit (246) to calculate fuel efficiency of the motor vehicle traveling the traveling route (411) based on the velocity profile (441).

An apparatus for assisting a driver to achieve optimized driving of a vehicle includes a controller and a display unit. The display unit is configured to display at least one visually highlighted range in place of a conventional fuel consumption display.

A system includes a processor configured to receive a user profile responsive to an efficiency determination request for a vehicle model. The processor is also configured to obtain efficiency-affecting data from the user profile. The processor is further configured to compare the efficiency-affecting data to data gathered from drivers of the vehicle model, to determine a correlation between the user profile and similar drivers of the vehicle model. Also, the processor is configured to predict fuel efficiency for the new vehicle model based on efficiency achieved by the similar drivers.

Disclosed are a vehicle and a method of providing fuel consumption information thereof in which the influence of driver's pedal operation on actual fuel consumption, including a latent distance to empty (DTE), due to variation in kinetic energy of the vehicle may be displayed. The method includes detecting whether or not one of an accelerator pedal and a brake pedal is operated, determining guidance fuel consumption based on a change in an available coasting distance according to a change in a vehicle speed due to operation of the one of the accelerator pedal and the brake pedal, which is detected, and outputting the determined guidance fuel consumption.

A method of controlling a vehicle accessory includes determining a transmission of a vehicle is in a non-park setting; in response to determining the transmission of the vehicle is in the non-park setting, receiving speed data indicative of a speed of the vehicle; determining a speed to operate the vehicle accessory based on the vehicle speed; comparing the determined speed to operate the vehicle accessory to a speed threshold; and in response to determining that the determined speed is below the speed threshold, providing a command to the vehicle accessory to one of deactivate the vehicle accessory or operate the vehicle accessory at a reduced operating state relative to a current operating state of the vehicle accessory.

A driver assistance system for assisting a driver to achieve optimized driving of a vehicle includes a controller and a display unit. The display unit is configured to display at least one visually highlighted range, if a driving style of the driver or an accelerator pedal angle is in an efficiency range suggested by the controller.

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.

A system includes a processor configured to receive a user profile responsive to an efficiency determination request for a vehicle model. The processor is also configured to obtain efficiency-affecting data from the user profile. The processor is further configured to compare the efficiency-affecting data to data gathered from drivers of the vehicle model, to determine a correlation between the user profile and similar drivers of the vehicle model. Also, the processor is configured to predict fuel efficiency for the new vehicle model based on efficiency achieved by the similar drivers.

Users within transit in a vehicle may initiate location queries to fulfill a set of interests, such as stops for food, fuel, and lodging. A device may fulfill the queries according to various factors, such as the distance of nearby locations to the user or to another location specified by the user, and the popularity of various locations. However, the user may not have specified or even chosen a route, and may wish to have interests fulfilled at a later time (e.g., stopping for food in 30 minutes), and a presentation of search results near the user's current location may be unhelpful. Presented herein are techniques for fulfilling location queries that involve predicting a route of the user, and identifying a timing window for the query results (e.g., locations that are likely to be near the user's projected location when the wishes to stop for food in 30 minutes).

Systems and methods for estimating a prediction value for usage of a prospective vehicle. In one embodiment, a method includes receiving trip log data associated with the driven vehicle. The trip log data includes a first trip having at first duration and a second trip having a second duration traveled by the driven vehicle within a past time period. The method further includes calculating a dwell duration between the first trip and the second trip. The method also includes receiving historical energy pricing for energy. The method yet further includes calculating a historical value for the first trip, the second trip, and the dwell duration, based on the historical energy pricing. The prediction value is estimated for the prospective vehicle for a future time period based on the historical value.