[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review

D Qiu, Y Wang, W Hua, G Strbac - Renewable and Sustainable Energy …, 2023 - Elsevier
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …

Wireless charging systems for electric vehicles

M Amjad, M Farooq-i-Azam, Q Ni, M Dong… - … and Sustainable Energy …, 2022 - Elsevier
Electric vehicles require fast, economical and reliable charging systems for efficient
performance. Wireless charging systems remove the hassle to plug in the device to be …

Charging and discharging optimization strategy for electric vehicles considering elasticity demand response

L Zhang, C Sun, G Cai, LH Koh - ETransportation, 2023 - Elsevier
The electrification of urban transportation systems is a critical step toward achieving low-
carbon transportation and meeting climate commitments. With the support of the Chinese …

[HTML][HTML] A review of electric bus vehicles research topics–Methods and trends

JA Manzolli, JP Trovao, CH Antunes - Renewable and Sustainable Energy …, 2022 - Elsevier
The transportation sector accounts for a significant share of greenhouse gas emissions.
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …

Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview

X Li, Z Wang, L Zhang, F Sun, D Cui, C Hecht… - Energy, 2023 - Elsevier
The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …

[HTML][HTML] Alternative vehicular fuels for environmental decarbonization: A critical review of challenges in using electricity, hydrogen, and biofuels as a sustainable …

BP Sandaka, J Kumar - Chemical Engineering Journal Advances, 2023 - Elsevier
Using vehicles powered by alternative fuels such as electricity, hydrogen, and biofuels have
been envisioned as the ideal way to curb noxious vehicular emissions. However, the …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Learning to operate an electric vehicle charging station considering vehicle-grid integration

Z Ye, Y Gao, N Yu - IEEE transactions on smart grid, 2022 - ieeexplore.ieee.org
The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV
charging stations. To maximize the profitability of charging stations, intelligent controllers …

Multi-agent deep reinforcement learning for resilience-driven routing and scheduling of mobile energy storage systems

Y Wang, D Qiu, G Strbac - Applied Energy, 2022 - Elsevier
Extreme events are featured by high impact and low probability, which can cause severe
damage to power systems. There has been much research focused on resilience-driven …

[HTML][HTML] Lithium-ion battery utilization in various modes of e-transportation

B Tepe, S Jablonski, H Hesse, A Jossen - eTransportation, 2023 - Elsevier
The electrification of the transportation sector leads to an increased deployment of lithium-
ion batteries in vehicles. Today, traction batteries are installed, for example, in electric cars …