[HTML][HTML] Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives

MJ Salehpour, MJ Hossain - Journal of Energy Storage, 2024 - Elsevier
The emergence of electric vehicles is reshaping the energy landscape, requiring the
development of innovative energy integration mechanisms to engage prosumers. However …

Reinforcement Learning for charging scheduling in a renewable powered Battery Swapping Station

D Renga, F Spoturno, M Meo - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Battery Swap (BS) technology represents a promising solution to overcome the main
obstacles to a widespread adoption of electric vehicles (EVs) in a urban environment, like …

Enabling Continuous Operation of Shared Autonomous Vehicles With Dynamic Wireless Charging

Y Wang, M Kieu, P Ranjitkar - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Shared Autonomous Vehicles (SAVs), serving as an alternative to private cars, are emerging
as a pivotal solution to severe traffic problems. Leveraging Dynamic Wireless Charging …

Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach

L Zou, MS Munir, SS Hassan, YK Tun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, an energy scheduling problem is formulated for the prosumer-based urban
area, where prosumers are regarded as the drone charging stations for urban air mobility …

[HTML][HTML] Electric vehicle charging navigation strategy in coupled smart grid and transportation network: A hierarchical reinforcement learning approach

C Jiang, L Zhou, JH Zheng, Z Shao - … Journal of Electrical Power & Energy …, 2024 - Elsevier
Most of the existing electric vehicle (EV) charging navigation methods do not simultaneously
take into account the electric vehicle charging destination optimization and path planning …

Online optimal scheduling for battery swapping charging systems with partial delivery

X Yang, B Yang, Z Wang, S Liu, K Ma, X Xu… - Electric Power Systems …, 2024 - Elsevier
Battery swapping–charging system (BSCS) is a promising operating paradigm to provide
centering charging and battery swapping service for electric vehicles in transportation …

Demand-Driven Charging Strategy Based Distributed Routing Optimization Under Traffic Restrictions in Internet of Electric Vehicles

H Wang, S Chen, M Li, C Zhu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The implementation of Vehicle-to-Grid technology enables bidirectional communication and
power flow in the Internet of Electric Vehicles (IoEV) context, facilitating the extensive …

Electric Vehicle Health Monitoring with Electric Vehicle Range Prediction and Route Planning

J Jayaram, J Chetan, B Nayak - Journal of Informatics and Web …, 2024 - mmupress.com
The automotive industry is experiencing a revolutionary wave due to the rapid spread of
electric vehicles (EVs), which is paving the way for a fundamental and long-lasting …

A Novel Routing Solution for EV Fleets: A Real-World Case Study Leveraging Double DQNs and Graph-Structured Data to Solve the EVRPTW Problem

D Nouicer, IC Msadaa, K Grayaa - IEEE Access, 2023 - ieeexplore.ieee.org
The transition from Internal Combustion Engine vehicles to Electric Vehicles presents
challenges for fleet managers in terms of adapting operational processes and systems. One …

A reinforcement learning method for two‐layer shipboard real‐time energy management considering battery state estimation

H Zhang, S Wen, M Gu, M Zhu… - IET Energy Systems …, 2024 - Wiley Online Library
Increasing global environmental concerns encourage a continuous reduction in carbon
emissions from the shipping industry. It has become an irreversible trend to replace …