Abstract: A system for modeling energy consumption efficiency of an electric vehicle and a method thereof are disclosed. The system includes a communication device that communicates with a plurality of electric vehicles and includes a controller that receives learning data from the plurality of electric vehicles, learns an energy consumption efficiency model based on the received learning data, and transmits the energy consumption efficiency model in which the learning is completed to the plurality of electric vehicles.

Abstract: An energy efficiency improvement learning apparatus includes a processor configured to perform learning for vehicle control to minimize vehicle energy consumption required for vehicle driving under random conditions based on a reinforcement learning algorithm, and provide learned parameters of the reinforcement learning algorithm to a vehicle. The energy efficiency improvement learning apparatus also includes a storage medium configured to store data and algorithms, and the reinforcement learning algorithm executable by the processor.

Abstract: An embodiment vehicle driving control apparatus includes a processor configured to determine an output torque of a driving source by using a driver driving propensity for each driver of a plurality of drivers or a driving situation based on a learning algorithm and a memory configured to store algorithms and data to be driven by the processor.

Abstract: An embodiment server includes a processor configured to collect driving data based on a driver driving propensity or a driving situation from a plurality of vehicles and to change information for determining an output torque suitable for each of the vehicles by analyzing the driving data and a communication device configured to transmit the changed information for determining the output torque to the vehicles by communicating with the vehicles.

Abstract: An apparatus and a method for predicting a speed of a vehicle. The apparatus includes storage that stores past driving information of the vehicle. The apparatus also includes a controller that extracts feature information about a current state of the vehicle from the past driving information of the vehicle. The controller also generates a query corresponding to each target time point based on the feature information. The controller also determines forward information corresponding to each target time point by using each query. The controller also predicts the speed of the vehicle at each target time point based on the query corresponding to each target time point and the forward information corresponding to each target time point.

Abstract: Disclosed are an apparatus for distributing power of an electric vehicle and a method thereof capable of optimally improving the energy consumption efficiency of the electric vehicle by predicting a vehicle speed for a predetermined time using a learned vehicle speed prediction model, determining wheel power based on the vehicle speed, and distributing the wheel power to a front wheel drive motor and a rear wheel drive motor. The apparatus includes a storage that stores a vehicle speed prediction model in which learning is completed, and a controller that predicts a vehicle speed for a preset time using the vehicle speed prediction model, determines wheel power based on the vehicle speed, and distributes the wheel power to a front wheel drive motor and a rear wheel drive motor.

Abstract: Disclosed are a system for modeling energy consumption efficiency of an electric vehicle and a method thereof. The system includes: a communication device that communicates with a plurality of electric vehicles, and a controller that receives a parameter set of an energy consumption efficiency model from the plurality of electric vehicles. The controller determines an average of received parameter sets as an optimal parameter set, and transmits the determined optimal parameter set to the plurality of electric vehicles.

Abstract: A system for modeling energy consumption efficiency of an electric vehicle and a method thereof are disclosed. The system includes a communication device that communicates with a plurality of electric vehicles and includes a controller that receives learning data from the plurality of electric vehicles, learns an energy consumption efficiency model based on the received learning data, and transmits the energy consumption efficiency model in which the learning is completed to the plurality of electric vehicles.

Abstract: Disclosed are a multi-agent-based reinforcement learning system and method therefor. The multi-agent-based reinforcement learning system includes: a slave agent configured to: store a data set collected in each state of a first environment in a first buffer, store a data set received from a master agent in the first buffer, and learn a Q-function based on the data set stored in the first buffer; and the master agent configured to store a data set collected in each state of a second environment in a second buffer; transmit the data set to the slave agent; update a Q-function matched with the slave agent among a plurality of Q-functions; and perform reinforcement learning based on the data set stored in the second buffer.

Abstract: A system for controlling a vehicle battery includes a vehicle which includes a motor that provides a driving force or generates power through regenerative braking and a battery that provides power to the motor and calculates a battery usage according to use of the battery, and a portable terminal which obtains location information of a user, generates a battery charge/discharge guide based on the location information of the user and the battery usage received from the vehicle, and transmits the battery charge/discharge guide to the vehicle, thus minimizing anxiety and inconvenience to users when charging and discharging an electric vehicle, and also minimizing the maintenance cost of the electric vehicle.

Abstract: An output torque control apparatus for hybrid vehicle is provided. The apparatus includes a motor controller that adjusts motor torque, an engine controller that adjusts engine torque, and a hybrid controller that operates the motor controller and the engine controller based on driving modes of a hybrid vehicle. The hybrid controller calculates transmission input torque corresponding to current request torque, confirms whether a current driving mode an EV mode or a HEV mode, calculates inertia compensation torque corresponding to the confirmed current driving mode, and calculates output torque based on the calculated inertia compensation torque and transmission input torque. Accordingly, at least one of the motor controller or the engine controller is operated based on the calculated output torque.

Abstract: A vehicle having a drive motor is provided. The vehicle includes a controller that changes the inclination of a drive motor torque command based on a demand torque of a driver or a temperature of a drive motor. A motor controller then operates the drive motor to change the motor torque changes based on the inclination of the motor torque command.

Abstract: A motor control apparatus and method for damping engine vibration are provided. The apparatus includes a data collection device that collects engine information and motor information and a processor that determines a magnitude of engine torque vibration using the engine information and the motor information. A weighting value is determined by determining a position of a piston in a cylinder of an engine, ignition timing, an engine angular acceleration, and an engine velocity. A motor arti-phase torque is calculated by reflecting the determined weighting value in the magnitude of the engine torque vibration and a motor is operated based on the motor anti-phase torque to cancel out the engine torque vibration.

Abstract: An output torque control apparatus for hybrid vehicle is provided. The apparatus includes a motor controller that adjusts motor torque, an engine controller that adjusts engine torque, and a hybrid controller that operates the motor controller and the engine controller based on driving modes of a hybrid vehicle. The hybrid controller calculates transmission input torque corresponding to current request torque, confirms whether a current driving mode an EV mode or a HEV mode, calculates inertia compensation torque corresponding to the confirmed current driving mode, and calculates output torque based on the calculated inertia compensation torque and transmission input torque. Accordingly, at least one of the motor controller or the engine controller is operated based on the calculated output torque.

Abstract: A motor control apparatus and method for damping engine vibration are provided. The apparatus includes a data collection device that collects engine information and motor information and a processor that determines a magnitude of engine torque vibration using the engine information and the motor information. A weighting value is determined by determining a position of a piston in a cylinder of an engine, ignition timing, an engine angular acceleration, and an engine velocity. A motor arti-phase torque is calculated by reflecting the determined weighting value in the magnitude of the engine torque vibration and a motor is operated based on the motor anti-phase torque to cancel out the engine torque vibration.

Abstract: An exhaust manifold may include a main body provided with a plurality of branching passages communicating with a vehicle engine and provided with a single passage communicating with an exhaust canister, the branching passages merging with the single passage; and a coating layer coated on an internal surface of the main body forming the branching passages and the single passage, the coating layer including an aerogel.

Abstract: A vehicle having a drive motor is provided. The vehicle includes a controller that changes the inclination of a drive motor torque command based on a demand torque of a driver or a temperature of a drive motor. A motor controller then operates the drive motor to change the motor torque changes based on the inclination of the motor torque command.

Abstract: A system and method for releasing baulking of a transmission gear of a hybrid vehicle are provided. The method includes comparing a stroke of a gear actuator with a first target value while increasing the stroke of the gear actuator when gear shifting is requested. Additionally, the method includes detecting whether the vehicle is in a stop state, in response to determining that the stroke of the gear actuator is less than a first target value. A motor torque is then increased in response to determining that the vehicle is in a stop state and the stroke of the clutch actuator is increased to be a second target value.

Abstract: An exhaust manifold may include a main body provided with a plurality of branching passages communicating with a vehicle engine and provided with a single passage communicating with an exhaust canister, the branching passages merging with the single passage; and a coating layer coated on an internal surface of the main body forming the branching passages and the single passage, the coating layer including an aerogel.

Abstract: A system and method for releasing baulking of a transmission gear of a hybrid vehicle are provided. The method includes comparing a stroke of a gear actuator with a first target value while increasing the stroke of the gear actuator when gear shifting is requested. Additionally, the method includes detecting whether the vehicle is in a stop state, in response to determining that the stroke of the gear actuator is less than a first target value. A motor torque is then increased in response to determining that the vehicle is in a stop state and the stroke of the clutch actuator is increased to be a second target value.