Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure is directed toward a method and system for deconstructing and searching binary based vehicular data. The method includes extracting a vehicle filename metadata for one or more vehicular files; parsing data of the vehicular files to generate categorized objects based on a vehicular data dictionary for the vehicular files; associating each of the categorized objects with a respective vehicle filename metadata; storing vehicular documents indicative of the categorized objects with associated vehicle filename metadata in a database system; building a query based on a search input acquired by way of a search interface being displayed; and transmitting search results in response to the search input. The vehicular data dictionary defines multiple terms indicative of decoding logic provided in the vehicular files.

Abstract: 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.

Abstract: The present disclosure is directed toward a method and system for deconstructing and searching binary based vehicular data. The method includes extracting a vehicle filename metadata for one or more vehicular files; parsing data of the vehicular files to generate categorized objects based on a vehicular data dictionary for the vehicular files; associating each of the categorized objects with a respective vehicle filename metadata; storing vehicular documents indicative of the categorized objects with associated vehicle filename metadata in a database system; building a query based on a search input acquired by way of a search interface being displayed; and transmitting search results in response to the search input. The vehicular data dictionary defines multiple terms indicative of decoding logic provided in the vehicular files.