Abstract: To navigate an electric vehicle from a starting location to a destination, a system identifies multiple charging stations between the starting location and the destination and determining a navigation route that requires a least amount of time for the electric vehicle to travel from the starting location to the destination via one or more of the charging stations, including determining a non-linear relationship between an amount of time and an amount of charge the EV receives during the amount of time.

Abstract: One example includes a forecasting inventory management system for a fleet of assets. An I/O interface receives inputs defining inventory and supply chain parameters of the assets and component(s) of each asset over a duration of time spanning from a present time to a future time. The inputs further include a time-phased input corresponding to a change associated with at least one of the inventory and supply chain parameters at future time(s) in the duration of time. The I/O interface can also provide outputs comprising an inventory assessment model comprising an allocation of the inventory of the component(s) throughout the duration of time. A memory system stores a database defining the inventory and supply chain parameters associated with the assets and the component(s). A forecasting engine generates the inventory assessment model at the present time based on the inventory and supply chain parameters throughout the duration of time.