検索に戻る
案件記録

MULTI-AGENT REINFORCEMENT LEARNING-BASED MOBILE ELECTRIC VEHICLE CHARGING SERVICE METHOD

発明審査中
2閲覧数
20請求項 · 2 独立
§ Ⅰ

案件概要

発明者

Jaehyuk Choi; Euiseok Hwang; Seungwook Yoon; Dongju Kim

IPC分類

G6Q 50/6B60L 53/57B60L 53/64G6N 3/92G6Q 30/202G6Q 30/217G6Q 50/40

CPC分類

G6Q50/6B60L53/64G6N3/92G6Q30/202G6Q50/40B60L53/57G6Q30/217

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.

原文(中国語)

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.

外部リソース