A method for generating energy-optimized travel routes with a vehicle navigation system includes generating candidate travel routes between a route origin and one or more route destinations, and then dividing each candidate travel route into a plurality of route segments. The method includes estimating expected travel speeds along each segment using cloud information and calculating an expected energy efficiency over each of the candidate travel routes using one or more vehicle-specific energy efficiency models. The travel routes are displayed via the navigation system, including a trace of the energy-optimized travel routes and an expected or relative energy efficiency along the energy-optimized travel routes. A vehicle includes the navigation system and a powertrain. A powertrain controller may control vehicle speed over a selected route to maintain an optimally energy-efficient speed.

Systems and methods for traffic learning are described. One embodiment of a method includes predicting a vehicle route of a vehicle, determining historical traffic data related to at least one segment along the vehicle route, and determining an energy traffic budget for electric power consumption of the vehicle along the vehicle route, where the energy traffic budget is learned from the historical traffic data. Some embodiments include creating a schedule for transitioning between gasoline power and electric power for the vehicle route, implementing the schedule as the vehicle traverses the vehicle route, and in response to encountering traffic along the vehicle route, implementing the energy traffic budget.

A control method of a hybrid vehicle includes determining, by a controller, whether a target maintaining SOC has been set to a maximum level in a battery maintaining driving mode, determining, by the controller, whether a vehicle speed is equal to or higher than a predetermined speed, when the target maintaining SOC determined is a maximum level, calculating, by the controller, an estimated recovery energy which can be recovered by regenerative braking of the vehicle when a current vehicle speed is equal to or higher than the predetermined speed, and updating, by the controller, the target maintaining SOC by subtracting a subtraction SOC equivalent to the estimated recovery energy calculated from the target maintaining SOC.

A control method of a hybrid vehicle includes determining, by a controller, whether a target maintaining SOC has been set to a maximum level in a battery maintaining driving mode, determining, by the controller, whether a vehicle speed is equal to or higher than a predetermined speed, when the target maintaining SOC determined is a maximum level, calculating, by the controller, an estimated recovery energy which can be recovered by regenerative braking of the vehicle when a current vehicle speed is equal to or higher than the predetermined speed, and updating, by the controller, the target maintaining SOC by subtracting a subtraction SOC equivalent to the estimated recovery energy calculated from the target maintaining SOC.

A method for generating energy-optimized travel routes with a vehicle navigation system includes generating candidate travel routes between a route origin and one or more route destinations, and then dividing each candidate travel route into a plurality of route segments. The method includes estimating expected travel speeds along each segment using cloud information and calculating an expected energy efficiency over each of the candidate travel routes using one or more vehicle-specific energy efficiency models. The travel routes are displayed via the navigation system, including a trace of the energy-optimized travel routes and an expected or relative energy efficiency along the energy-optimized travel routes. A vehicle includes the navigation system and a powertrain. A powertrain controller may control vehicle speed over a selected route to maintain an optimally energy-efficient speed.

Systems and methods for traffic learning are described. One embodiment of a method includes predicting a vehicle route of a vehicle, determining historical traffic data related to at least one segment along the vehicle route, and determining an energy traffic budget for electric power consumption of the vehicle along the vehicle route, where the energy traffic budget is learned from the historical traffic data. Some embodiments include creating a schedule for transitioning between gasoline power and electric power for the vehicle route, implementing the schedule as the vehicle traverses the vehicle route, and in response to encountering traffic along the vehicle route, implementing the energy traffic budget.