Deep Reinforcement Learning Based Optimal Route and Charging Station Selection

Deep Reinforcement Learning Based Optimal Route and Charging Station Selection

This paper proposes an optimal route and charging station selection (RCS) algorithm based on model-free deep reinforcement learning (DRL) to overcome the uncertainty issues of the traffic conditions and dynamic arrival charging requests. The proposed DRL based RCS algorithm aims to minimize the tota...

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Bibliographic Details
Main Authors: Ki-Beom Lee, Mohamed A. Ahmed, Dong-Ki Kang, Young-Chon Kim
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Energies
Subjects:
electric vehicle
electric vehicle charging station
intelligent transport system
electric vehicle charging navigation system
Markov decision process
deep reinforcement learning
Online Access:https://www.mdpi.com/1996-1073/13/23/6255

Internet

https://www.mdpi.com/1996-1073/13/23/6255

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