MULTI-AGENT REINFORCEMENT LEARNING-BASED MOBILE ELECTRIC VEHICLE CHARGING SERVICE METHOD
개요
출원인
HYUNDAI MOTOR COMPANY; Kia Corporation; Gwangju Institute of Science and Technology
발명자
Jaehyuk Choi; Euiseok Hwang; Seungwook Yoon; Dongju Kim
IPC 분류
CPC 분류
A multi-agent reinforcement learning-based mobile electric vehicle charging service method may include: generating an electric vehicle charging demand; detecting a state of a mobile charging station; and determining an action of the mobile charging station including moving or waiting based on the electric vehicle charging demand and the state of the mobile charging station. The method may further include: paying a reward as a feedback with respect to a result including a charging profit and a moving cost based on the determined action; storing and accumulating the action, the result, and the reward as learning data; and training a multi-agent reinforcement learning model for generating the optimal deployment of the mobile charging station by using the accumulated learning data.
원문 (중국어)
A multi-agent reinforcement learning-based mobile electric vehicle charging service method may include: generating an electric vehicle charging demand; detecting a state of a mobile charging station; and determining an action of the mobile charging station including moving or waiting based on the electric vehicle charging demand and the state of the mobile charging station. The method may further include: paying a reward as a feedback with respect to a result including a charging profit and a moving cost based on the determined action; storing and accumulating the action, the result, and the reward as learning data; and training a multi-agent reinforcement learning model for generating the optimal deployment of the mobile charging station by using the accumulated learning data.