[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
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 …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
Wireless charging systems for electric vehicles
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
ion batteries in vehicles. Today, traction batteries are installed, for example, in electric cars …