Abstract: One embodiment includes a method that includes monitoring a battery state of charge circuit that is coupled to a vehicle battery, calculating an averaged value of the state of charge over a time period, charging the vehicle battery by powering a generator with a fuel burning engine that powered on and powered off according to one of a first operational mode and a second operational mode, wherein in the first operational mode the engine is powered on when the battery state of charge drops below a first state of charge and continues until the averaged value of the state of charge increases to a first preprogrammed value.

Abstract: A method of optimizing the operation of the power source of an electric vehicle is provided, where the power source is comprised of a first battery pack (e.g., a non-metal-air battery pack) and a second battery pack (e.g., a metal-air battery pack). The power source is optimized to minimize use of the least efficient battery pack (e.g., the second battery pack) while ensuring that the electric vehicle has sufficient power to traverse the expected travel distance before the next battery charging cycle. Further optimization is achieved by setting at least one maximum speed limit based on vehicle efficiency and the state-of-charge (SOC) of the first and second battery packs.

Abstract: A method of optimizing the operation of the power source of an electric vehicle is provided, where the power source is comprised of a first battery pack (e.g., a non-metal-air battery pack) and a second battery pack (e.g., a metal-air battery pack). The power source is optimized to minimize use of the least efficient battery pack (e.g., the second battery pack) while ensuring that the electric vehicle has sufficient power to traverse the expected travel distance before the next battery charging cycle. Further optimization is achieved by setting at least one acceleration limit based on vehicle efficiency and the state-of-charge (SOC) of the first and second battery packs.