Abstract: In a method of controlling charging by a motor to improving fuel efficiency of a hybrid vehicle, at least one of turning-on of an engine, turning-off thereof, engagement of an engine clutch, disengagement thereof, performing of charging by P0 and P1 motors, and non-performing of charging by the P0 and P1 motors are selectively combined. In addition to regenerative braking energy recovered by the third motor, regenerative braking energy is recovered by a P0 motor, P1 motor, and a combination of the P0 and P1 motors according to a level of deceleration of the hybrid vehicle that varies with braking power and braking time, and an energy storage system is charged with the recovered regenerative braking energy. Control of charging by each of the P2, P0, and P1 motors is optimized as variable control on a per-deceleration level basis that varies with a level of a power required for braking.

Abstract: In a method of controlling charging by a motor to improving fuel efficiency of a hybrid vehicle, at least one of turning-on of an engine, turning-off thereof, engagement of an engine clutch, disengagement thereof, performing of charging by P0 and P1 motors, and non-performing of charging by the P0 and P1 motors are selectively combined. In addition to regenerative braking energy recovered by the third motor, regenerative braking energy is recovered by a P0 motor, P1 motor, and a combination of the P0 and P1 motors according to a level of deceleration of the hybrid vehicle that varies with braking power and braking time, and an energy storage system is charged with the recovered regenerative braking energy. Control of charging by each of the P2, P0, and P1 motors is optimized as variable control on a per-deceleration level basis that varies with a level of a power required for braking.

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

Abstract: A method for controlling heating of a hybrid vehicle is provided. The vehicle includes a duct flowing air into the indoor of the hybrid vehicle from the outside, a heater core for circulating the coolant heated from an engine inside the duct, a PTC heater heated by the power supplied from a high-voltage battery of the hybrid vehicle inside the duct, and a controller. The controller operates the engine and the PTC heater and heats the air flowing into the indoor of the hybrid vehicle through the duct. The voltage supplied to the PTC heater from a low voltage DC-DC converter (LDC) is changed based on the state of the engine and an auxiliary battery for supplying power to an electric component of the vehicle to apply power to the PTC heater.

Abstract: A method for displaying charge and gain energy by a vehicle solar roof system is provided. The method includes determining whether the vehicle is in a parking or driving mode based on whether the vehicle key is turned on or off when the solar roof system installed in the vehicle operates. A corresponding consumed energy is calculated by determining whether the solar roof system charges the auxiliary battery or the main battery. The consumed energy is displayed in the cluster of the vehicle and booting is performed when the key is turned on in the parking mode and displayed when the key is turned off in the driving mode. The consumed energy is calculated based on efficiency of a charge amount of the auxiliary battery or the main battery and a gain fuel amount is changed based on the charge amount and calculated due to the saved energy.

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

Abstract: A method for identifying a driving pattern for fuel economy improvement of a hybrid vehicle is provided. The method includes allocating priorities in accordance with influences exerted on fuel economy based on a heating load and an electric load. A current driving pattern is then selected in the order of a high heating load driving pattern, a high electric load driving pattern, an aggressive driving pattern, a high speed driving pattern, and a city driving pattern.

Abstract: A method for displaying charge and gain energy by a vehicle solar roof system is provided. The method includes determining whether the vehicle is in a parking or driving mode based on whether the vehicle key is turned on or off when the solar roof system installed in the vehicle operates. A corresponding consumed energy is calculated by determining whether the solar roof system charges the auxiliary battery or the main battery. The consumed energy is displayed in the cluster of the vehicle and booting is performed when the key is turned on in the parking mode and displayed when the key is turned off in the driving mode. The consumed energy is calculated based on efficiency of a charge amount of the auxiliary battery or the main battery and a gain fuel amount is changed based on the charge amount and calculated due to the saved energy.

Abstract: A method for controlling heating of a hybrid vehicle is provided. The vehicle includes a duct flowing air into the indoor of the hybrid vehicle from the outside, a heater core for circulating the coolant heated from an engine inside the duct, a PTC heater heated by the power supplied from a high-voltage battery of the hybrid vehicle inside the duct, and a controller. The controller operates the engine and the PTC heater and heats the air flowing into the indoor of the hybrid vehicle through the duct. The voltage supplied to the PTC heater from a low voltage DC-DC converter (LDC) is changed based on the state of the engine and an auxiliary battery for supplying power to an electric component of the vehicle to apply power to the PTC heater.

Abstract: An electronic device for executing a plurality of applications and a method for controlling the electronic device are provided. The method includes determining a first application related to an acquired user input from among the plurality of applications, and executing a task corresponding to the user input in the first application.

Abstract: Electronic devices and methods for controlling a display are provided. The method includes extracting at least one function applicable to at least two applications displayed on a display, displaying the extracted at least one function as an icon, and applying a function corresponding to the displayed icon to at least one application of the at least two applications, corresponding to selection of the displayed icon.

Abstract: An electronic device is provided. The electronic device includes a display positioned on at least a surface of a housing of the electronic device, at least one sensor configured to sense a bend of the display and a mount of the electronic device, and a processor configured to control a running of an application, obtain information relating to a shape of the bend of the display and a form of the mount of the electronic device based on information sensed by the at least one sensor, determine a transformation type of the display based on the information relating to the shape of the bend and the form of the mount, when the electronic device is mounted in the determined transformation type, determine at least one display area in the display according to a first function of the application corresponding to the transformation type, and perform control to display an object relating to the first function on the determined display area.

Abstract: A method for identifying a driving pattern for fuel economy improvement of a hybrid vehicle is provided. The method includes allocating priorities in accordance with influences exerted on fuel economy based on a heating load and an electric load. A current driving pattern is then selected in the order of a high heating load driving pattern, a high electric load driving pattern, an aggressive driving pattern, a high speed driving pattern, and a city driving pattern.

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

Abstract: In an embodiment, a method is provided for processing data in a storage device, and a storage device. The method includes writing data according to a write command received from a processor. The method also includes determining whether a predetermined write restriction time has elapsed. The method also includes discontinuing the data writing upon expiration of the predetermined write restriction time.

Abstract: An electronic device is provided. The electronic device includes a display positioned on at least a surface of a housing of the electronic device, at least one sensor configured to sense a bend of the display and a mount of the electronic device, and a processor configured to control a running of an application, obtain information relating to a shape of the bend of the display and a form of the mount of the electronic device based on information sensed by the at least one sensor, determine a transformation type of the display based on the information relating to the shape of the bend and the form of the mount, when the electronic device is mounted in the determined transformation type, determine at least one display area in the display according to a first function of the application corresponding to the transformation type, and perform control to display an object relating to the first function on the determined display area.

Abstract: A method of managing a memory in an electronic device is provided that includes calculating an indication of remaining life of a memory component that is used as a swap space by the electronic device; and adjusting the use of the memory component as a swap space based on the indication of remaining life, wherein the adjusting includes one of: (i) reducing a rate at which data is swapped in and out of the memory component, and (ii) discontinuing the use of the memory component as a swap space.

Abstract: Electronic devices and methods for controlling a display are provided. The method includes extracting at least one function applicable to at least two applications displayed on a display, displaying the extracted at least one function as an icon, and applying a function corresponding to the displayed icon to at least one application of the at least two applications, corresponding to selection of the displayed icon.

Abstract: An electronic device for executing a plurality of applications and a method for controlling the electronic device are provided. The method includes determining a first application related to an acquired user input from among the plurality of applications, and executing a task corresponding to the user input in the first application.