A method of energy management includes steps of: deciding system parameters; determining an object function; obtaining characteristics information and predetermined ranges respectively of the system parameters; calculating function values of the object function for various parameter value combinations of the system parameters within the predetermined ranges based on the characteristics information so as to establish a database; determining a smallest function value among those of the function values in the database that satisfy certain conditions; and determining an optimum power split ratio based on the parameter value combination corresponding to the smallest function value for energy management of the vehicle.

An embodiment system for controlling power consumption of a high voltage battery includes a driver's requested torque determiner configured to determine a driver's intention to accelerate a vehicle and to calculate a driver's requested torque, an available power amount calculator configured to calculate an available power amount of a difference between an existing power consumption amount of electronic components configured to use the high voltage battery as a power source and a minimum power consumption amount of the electronic components required by a vehicle system, and a driving controller configured to variably control power applied to the electronic components and power applied to a drive motor of the vehicle upon determining the driver's intention to accelerate the vehicle.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A degradation determination device for a secondary battery is used for a hybrid vehicle, is configured to determine degradation of the secondary battery, and includes a processor. The processor is configured to determine whether predetermined charge control is executed based on a vehicle speed, an accelerator operation amount, and a fuel injection amount or a rotational speed. The processor determines that degradation of the secondary battery has progressed when a charge frequency is high compared to when the charge frequency is low. The charge frequency is the ratio of the time for which the predetermined charge control is executed to a required time for a predetermined period.

A method of controlling a sleep maintenance motion includes: determining, by a sleep maintenance mode entry determiner, whether a vehicle enters a sleep maintenance mode; when the vehicle enters the sleep maintenance mode, calculating, by an engine target speed profile calculator, an engine target speed profile; calculating, by an engine/hybrid starter generator (HSG) target torque calculator, an engine/HSG target torque based on the calculated engine target speed profile; and controlling, by the sleep maintenance mode entry determiner, a sleep maintenance motion based on an operation of an engine/HSG.

An electrical energy management system includes a first battery having a nominal operating voltage, a second battery having a charging voltage sufficiently close to the nominal operating voltage of the first battery such that the first battery can charge the second battery when the first battery and the second battery are electrically connected in parallel, a generator that is controllable to provide a variable output voltage, a starter motor, an electrical load, a plurality of switches each controllable to be in an open state or a closed state, and a controller that is configured to control the output voltage of the generator and to control the open or closed state of each of the plurality of switches.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.