Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Seoul National University

Snu Rdb Foundation

Hee Yun Lee

Suk-Won Cha

Jae Ho Lee

Seok Joon Kim

Jae Sung Bang

Seok Min Jeong

Hyunsup Kim

Daero Park

Seongwook Moon

Ho Kyun Chun

Hyun Sub Lee

Howon Seo

Jung Un An

Won Sik Lim

Dae Ki Hong

Nam Woong Kim

Kyo Bum Lee

Jong Ryeol Jeong

An apparatus of determining an optimal velocity of a vehicle, may include an information receiving unit configured to receive and provide vehicle traveling information and traveling environment information which are state variables representing vehicle states required to determine a target velocity for optimizing vehicle fuel economy; and an optimal velocity determination unit configured to determine the target velocity in accordance with a vehicle traveling environment by use of a state variable and reward estimation model and a Q table having values according to the state variables and a control input, from the vehicle traveling information and the traveling environment information provided by the information receiving unit, and a method of determining an optimal velocity of a vehicle.

Apparatus and method for determining optimal velocity of vehicle

A power distribution control system of a vehicle includes a driving information provider for collecting and providing information required for power distribution control of an engine and a motor in the vehicle; a communication unit for transmitting the information provided by the driving information provider from the vehicle; a cloud server outside the vehicle for selecting and transmitting optimal power distribution control logic data corresponding to a driving situation of the vehicle based on the information provided through the communication unit from the vehicle; and a vehicle controller for performing power distribution control of the engine and the motor based on real-time driving state variable information of the vehicle using the optimal power distribution control logic data received through the communication unit by the vehicle from the cloud server.

System and method of controlling power distribution of hybrid electric vehicle

A system for providing a speed profile of a self-driving vehicle includes a vehicle driving information prediction device, and a speed profile generation device, wherein the vehicle driving prediction device includes a navigation unit configured to set information on a drive route and a target travel time, a 3D map information provision unit configured to search for gradient information of the drive route set by the navigation unit, and a vehicle driving information provision unit, and wherein the speed profile generation device includes a vehicle energy consumption calculation unit configured to calculate energy consumption at a current speed of the vehicle when the vehicle runs along the set drive route, and a speed profile calculation unit configured to calculate a distance-based target speed profile by executing a dynamic programming algorithm.

System and method for providing speed profile of self-driving vehicle

A method for controlling a hybrid vehicle is provided. The method includes setting a driving path of the vehicle based on an input destination and current position and predicting a future speed of the vehicle using information regarding the driving path, environmental information, and driving pattern information of a driver. An optimum power distribution map is derived including an optimum SOC trajectory and a power distribution ratio of the engine and the motor using the predicted future speed. Additionally, engine power and motor power is distributed using the optimum SOC trajectory and a power distribution ratio of the engine and the motor.

System and method for controlling hybrid vehicle

A hydraulic pressure instruction-learning apparatus of a hybrid vehicle includes a power source including an engine and a motor. The engine clutch is disposed between the engine and the motor. The vehicle controller is configured to output a hydraulic pressure instruction to control engagement/disengagement of the engine clutch. The vehicle controller compares output performance of the engine clutch with predetermined dynamic target performance in a launch control, extracts a performance error function if a difference therebetween exceeds a predetermined allowable error range, and corrects the output performance of the engine clutch, such that the output performance falls within the predetermined allowable error range and is stored as a learned value.

Hydraulic pressure instruction-learning apparatus for hybrid vehicle and method using the same

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Seoul, South Korea

Hee Yun Lee