A control system implementing a hybrid energy storage system (ESS) optimization strategy is disclosed. The hybrid ESS optimization strategy may be implemented in a machine that comprises a power system that includes a plurality of power sources and a power controller that includes one or more processors. The power controller may receive information related to a set of brake-specific fuel consumption (BSFC) maps associated with the plurality of power sources, determine a performance indicator using a cost function associated with the plurality of power sources, and generate a command to operate the power system based on a power distribution that minimizes an energy cost to operate the power system based on the information related to the set of BSFC maps, the performance indicator, and a load associated with the power system.

Aspects of the present disclosure are directed to systems, devices, methods, and computer-readable storage medium for adaptive/dynamic thermal management of an electrical power system having variable electric loads that may impact performance or life of the electrical power system. Embodiments may include adaptive thermal management of at least one of an energy storage system and an electric energy supply. Applications of this disclosure may include adaptive thermal management method for electric vehicles and non-mobility applications, particularly having variable electrical loads that may impact performance or life of the application.

Aspects of the present disclosure are directed to systems, devices, methods, and computer-readable storage medium for adaptive/dynamic thermal management of an electrical power system having variable electric loads that may impact performance or life of the electrical power system. Embodiments may include adaptive thermal management of at least one of an energy storage system and an electric energy supply. Applications of this disclosure may include adaptive thermal management method for electric vehicles and non-mobility applications, particularly having variable electrical loads that may impact performance or life of the application.

A regenerative braking control method and a regenerative braking control device of the present invention control a drive source that generates a regenerative brake force in such a manner that an upper limit of regenerative deceleration when a driver executes manual control becomes smaller than an upper limit of regenerative deceleration when automatic control is executed.

A vehicle control device includes at least one ECU configured to: when charging the first battery from the power generation device is possible and a restriction on operation of the power generation device is predicted during traveling, control the power generation unit such that the first battery is charged from the power generation device and control the power generation unit such that the second battery is charged in a case where an SOC of the first battery is equal to or higher than a threshold; and when the charging is not possible, the SOC of the first battery is equal to or lower than a threshold and an SOC of the second battery is equal to or higher than a threshold and the restriction is predicted during traveling, control the power generation unit such that the first battery is charged from the second battery.

A vehicle control device includes at least one ECU configured to: when charging the first battery from the power generation device is possible and a restriction on operation of the power generation device is predicted during traveling, control the power generation unit such that the first battery is charged from the power generation device and control the power generation unit such that the second battery is charged in a case where an SOC of the first battery is equal to or higher than a threshold; and when the charging is not possible, the SOC of the first battery is equal to or lower than a threshold and an SOC of the second battery is equal to or higher than a threshold and the restriction is predicted during traveling, control the power generation unit such that the first battery is charged from the second battery.

A vehicle includes a motor, a second drive source, and a drive controller. The motor is a first drive source configured to drive wheels. The motor has a plurality of switchable modes that differ in at least one of a number of poles or a type of torque for rotating a rotor. The second drive source is configured to drive the wheels in parallel with the motor. The drive controller is configured to set, during switching of the modes, a target driving force of the second drive source to be larger than a target driving force of the second drive source before the switching of the modes.

A hybrid propulsion system with controllers and a drive shaft of a helicopter with a main rotor connected to a gearbox which can keep a flight attitude set by a pilot stable. It includes a pilot controller, a combustion engine and an electric motor, both of which act directly on the drive shaft. The VM is connected to a VM controller, and the EM is connected to an EM controller. One torque sensor and one tachometer are each arranged on the drive shaft, wherein during operation both the VM controller and the EM controller are able to receive values for the current speed and the current torque. Specified values for speed and torque, in which the VM can attain its optimum efficiency, are stored in memory and can be retrieved by the EM controller, wherein the first value can also be retrieved by the VM controller.

Aspects of the present disclosure are directed to systems, devices, methods, and computer-readable storage medium for adaptive/dynamic thermal management of an electrical power system having variable electric loads, and components thereof. Thermal management may be driven at least partially by predicted/modeled thermal performance of the component to be managed, which may be calculated or modified using direct or indirect measurements. Embodiments may include adaptive thermal management of at least one of an energy storage system and an electric energy supply. Applications of this disclosure may include adaptive thermal management method for electric vehicles and non-mobility applications, particularly having variable electrical loads, which may impact performance or life of the application.

Aspects of the present disclosure are directed to systems, devices, methods, and computer-readable storage medium for adaptive/dynamic thermal management of an electrical power system having variable electric loads, and components thereof. Thermal management may be driven at least partially by predicted/modeled thermal performance of the component to be managed, which may be calculated or modified using direct or indirect measurements. Embodiments may include adaptive thermal management of at least one of an energy storage system and an electric energy supply. Applications of this disclosure may include adaptive thermal management method for electric vehicles and non-mobility applications, particularly having variable electrical loads, which may impact performance or life of the application.