A vehicle comprising one of a hybrid vehicle and an electric vehicle, a traction motor, an energy storage component, which is a battery, and a computer programmed to: identify if a vehicle position is associated with link data in a database of historical power usage data, the link data comprising measured historical power usage data for a link (70, 78, 80, 82) of vehicle travel; and if the vehicle position is associated with the link data: obtain the link data of the link from the database, the link data absent terrain information from the database; determine (116, 124) an expected vehicle power usage of the vehicle based on the obtained link data; and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle, said optimizing characterized by: setting a biasing state of charge setpoints in the links along an expected route of vehicle travel such that the battery is near a fully-charged state prior to a large or sustained power requirements to supply boosting power during increased power usage periods, or near a fully-discharged state prior to a large or sustained power generation opportunity such that regenerative braking of the traction motor may supply charging power to recharge the battery to the next biasing state of charge setpoint. an energy storage component, which is a battery, and a computer programmed to: identify if a vehicle position is associated with link data in a database of historical power usage data, the link data comprising measured historical power usage data for a link (70, 78, 80, 82) of vehicle travel; and if the vehicle position is associated with the link data: obtain the link data of the link from the database, the link data absent terrain information from the database; determine (116, 124) an expected vehicle power usage of the vehicle based on the obtained link data; and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle, said optimizing characterized by: setting a biasing state of charge setpoints in the links along an expected route of vehicle travel such that the battery is near a fully-charged state prior to a large or sustained power requirements to supply boosting power during increased power usage periods, or near a fully-discharged state prior to a large or sustained power generation opportunity such that regenerative braking of the traction motor may supply charging power to recharge the battery to the next biasing state of charge setpoint. identify if a vehicle position is associated with link data in a database of historical power usage data, the link data comprising measured historical power usage data for a link (70, 78, 80, 82) of vehicle travel; and if the vehicle position is associated with the link data: obtain the link data of the link from the database, the link data absent terrain information from the database; determine (116, 124) an expected vehicle power usage of the vehicle based on the obtained link data; and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle, said optimizing characterized by: setting a biasing state of charge setpoints in the links along an expected route of vehicle travel such that the battery is near a fully-charged state prior to a large or sustained power requirements to supply boosting power during increased power usage periods, or near a fully-discharged state prior to a large or sustained power generation opportunity such that regenerative braking of the traction motor may supply charging power to recharge the battery to the next biasing state of charge setpoint. obtain the link data of the link from the database, the link data absent terrain information from the database; determine (116, 124) an expected vehicle power usage of the vehicle based on the obtained link data; and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle, said optimizing characterized by: setting a biasing state of charge setpoints in the links along an expected route of vehicle travel such that the battery is near a fully-charged state prior to a large or sustained power requirements to supply boosting power during increased power usage periods, or near a fully-discharged state prior to a large or sustained power generation opportunity such that regenerative braking of the traction motor may supply charging power to recharge the battery to the next biasing state of charge setpoint.