Abstract: A method for controlling operation of an intelligent vehicle navigation (IVN) system includes a system controller receiving path plan data for a desired route of a vehicle and, using this path plan data, identifying a low/no-connectivity (LNC) area with limited/no wireless service within the desired route. The IVN system retrieves historical trip data containing time durations to cross the LNC area for a statistically significant number of prior trips across the LNC area; the IVN system constructs a probability distribution of these trip durations. The IVN system tracks a time lapse during which no wireless signal is received from the vehicle after output of the vehicle's last wireless signal before entering the LNC area. A driving incident is predicted responsive to the no-signal time lapse exceeding a predefined threshold within the probability distribution. The system controller responds to the predicted driving incident by transmitting an alert to a third-party entity.

Abstract: Systems and method are provided for controlling a vehicle having one or more batteries. In one embodiment, a method includes: receiving, by a processor, data from at least two of a user of the vehicle, the vehicle, one or more charging stations, and one or more vehicle services; determining, by the processor, optimization criteria based on the received data; computing, by the processor, a charging route solution based on the optimization criteria; and generating, by the processor, interface data for presenting the charging route solution to the user of the vehicle.

Abstract: A system and method of tracking energy usage in a vehicle. The method, in one implementation, involves building an energy usage prediction model, obtaining a planned route for a vehicle that contains one or more planned route segments, applying the energy usage prediction model to each planned route segment of the one or more planned route segments of the planned route to obtain an energy usage plan, receiving onboard data from the vehicle, constructing an actual route based on the onboard data, and performing a match analysis between the planned route and the actual route based on the onboard data.

Abstract: A system and method of tracking energy usage in a vehicle. The method, in one implementation, involves building an energy usage prediction model, obtaining a planned route for a vehicle that contains one or more planned route segments, applying the energy usage prediction model to each planned route segment of the one or more planned route segments of the planned route to obtain an energy usage plan, receiving onboard data from the vehicle, constructing an actual route based on the onboard data, and performing a match analysis between the planned route and the actual route based on the onboard data.