Systems and methods for estimating trip use for a prospective vehicle. In one embodiment, a method includes receiving trip log data for a first vehicle. The trip log data includes vehicle data associated with driving conditions for a plurality of trips. The method also includes identifying a pattern of travel for a set of trips of the plurality of trips. The trips of the set of trips are traveled from an origin to a destination. A trip of the set of trips has a path distance between the origin and the destination that exceeds a distance threshold. The method further includes calculating a predictive range estimate for a second vehicle for travel between the origin and the destination based on the path distance and the driving conditions associated with the set of trips.

A charging facility guidance system is equipped with an electric vehicle and a server device. The electric vehicle is equipped with a first processor transmitting information on a current position and a remaining battery level of the electric vehicle to the server device. The server device is equipped with a second processor calculating a possible cruising distance of the electric vehicle based on the remaining battery level thereof, setting a charging facility search range indicating a range of search for charging facilities for the electric vehicle along a route from a place of departure of the electric vehicle to a destination of the electric vehicle, searching for charging facilities included in the charging facility search range, based on the possible cruising distance, selecting the charging facility located as close as possible to the destination, and transmitting information on the selected charging facility to the electric vehicle.

A vehicle includes a power supply including a battery, a display, a storage configured to store a power matching data, and a fuel efficiency matching data, and a controller configured to determine driving power supplied by the battery, determine a current driving fuel efficiency corresponding to a reference weight based on the driving power and the power matching data, determine the current weight of the vehicle, determine a first fuel efficiency based on an accumulated driving fuel efficiency accumulated from a previous charging time point to a current charging time point and the current driving fuel efficiency at the current charging time point, determine a second fuel efficiency based on the fuel efficiency matching data and the first fuel efficiency corresponding to each of the existing weight and the current weight, determine the estimated driving distance of the vehicle based on the charging capacity of the battery and the second fuel efficiency, and output the estimated driving distance to the display.

An apparatus for controlling a vehicle includes a battery controller, a driving controller, and a notification device, wherein the battery controller may obtain state information of a battery, calculate remaining energy of the battery, and determine whether energy of the battery is excessively consumed, and the driving controller may obtain the remaining energy and route information, calculate a remaining driving distance, and determine a fuel efficiency deterioration section.

A system is provided for vehicle range prediction. The system determines a change in mass to a vehicle while driving. Additionally, the system calculates a vehicle load in response to determining the change in mass and adjusts a vehicle range in response to calculating the vehicle load. The vehicle range is indicative of a distance in which the vehicle is predicted to travel with a remaining fuel. The adjusted vehicle range is based on the vehicle load.

The systems/methods analyze the vast reservoir of data that is collected in-flight during a commercial aircraft's travels over several months. That data is analyzed to identify and remove data points that do not represent stable cruise. This may be achieved in multiple steps to manage the extremely large data sets. The data points, now representing stable cruise, are further analyzed to identify control surfaces that are out-of-tolerance (i.e., mis-rigged). That information can be provided to commercial airlines for subsequent use to re-rig the identified mis-rigged aircrafts. Via various methodologies, fuel efficiencies are ascertained to illustrate the potential fuel savings if aircraft are retrofitted with certain drag reduction technology. General aircraft performance may be established via the results of the systems/methods. Poorly performing aircraft also can be identified. Other features and benefits are provided.

Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

A system includes a processor and a memory in communication with the processor, the memory storing instructions that when executed by the processor cause the processor to receive charge data from a plurality of electric vehicles comprising a first charge node, display on a touchscreen device the charge data for each of the plurality electric vehicles, receive one or more user instructions each defining a desired charging attribute for at least one of the plurality of electric vehicles and transmit, based upon, at least, one of the received user instructions, updated charge data to at least one of the plurality of electric vehicles.

In one embodiment, a computer-implemented method includes receiving a transportation request from a transportation requestor device to travel from a first location to a second location. The computer-implemented method also includes determining one or more routes from the first location to the second location and a characteristic associated with each route of the one or more routes. The computer-implemented method also includes selecting, based on the characteristic associated with each route of the one or more routes, a personal mobility vehicle from a fleet of personal mobility vehicles. The fleet of personal mobility vehicles includes different types of personal mobility vehicles. The computer-implemented method also includes providing instructions to a device associated with the personal mobility vehicle to direct the personal mobility vehicle to traverse a particular route of the one or more routes.

A method and apparatus for evaluating the driving of a vehicle performing a journey on a road network is disclosed. The method comprises determining a fuel usage rate and an engine speed of a vehicle, and determining when the vehicle is coasting based upon at least one of the fuel usage rate and the engine speed of the vehicle. An acceleration of the vehicle, when the vehicle is determined to be coasting, is compared with a predetermined reference acceleration, and an application of braking during the coasting is determined based on the result of the comparison. A method and apparatus is also disclosed for determining a score indicative of the relative amount of time for which the vehicle is coasting without braking during a journey.