A survey of battery swapping stations for electric vehicles: Operation modes and decision scenarios
H Wu - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The population of electric vehicles (EVs) has grown rapidly over the past decade due to the
development of EV technologies, battery materials, charger facilities, and public charging …
development of EV technologies, battery materials, charger facilities, and public charging …
Lithium-ion battery health estimation with real-world data for electric vehicles
Complex environments and variable working conditions lead to irreversible attenuation of
battery pack capacity in electric vehicles (EVs). Online capacity estimation is of great …
battery pack capacity in electric vehicles (EVs). Online capacity estimation is of great …
A holistic review on E-mobility service optimization: Challenges, recent progress and future directions
In recent years, countries around the world have attached great attention to the development
of transportation electrification. As an alternative to achieve carbon neutrality, Electric …
of transportation electrification. As an alternative to achieve carbon neutrality, Electric …
A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation
Achieving the goal of sustainable development is dependent on the widespread integration
of renewable energy sources, energy storage systems (ESSs), and electric vehicles (EVs) …
of renewable energy sources, energy storage systems (ESSs), and electric vehicles (EVs) …
Smart and resilient EV charging in SDN-enhanced vehicular edge computing networks
Smart grid delivers power with two-way flows of electricity and information with the support of
information and communication technologies. Electric vehicles (EVs) with rechargeable …
information and communication technologies. Electric vehicles (EVs) with rechargeable …
Probabilistic charging power forecast of EVCS: Reinforcement learning assisted deep learning approach
The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely
deployed with the development of large-scale transportation electrifications. However, since …
deployed with the development of large-scale transportation electrifications. However, since …
Electric vehicle charging scheduling considering infrastructure constraints
The impacts of large-scale electric vehicles (EVs) charging on the power grid and the lack of
charging infrastructure may directly hinder the promotion of EVs. With the limited number of …
charging infrastructure may directly hinder the promotion of EVs. With the limited number of …
Electric vehicles charging management using machine learning considering fast charging and vehicle-to-grid operation
Electric vehicles (EVs) have gained in popularity over the years. The charging of a high
number of EVs harms the distribution system. As a result, increased transformer overloads …
number of EVs harms the distribution system. As a result, increased transformer overloads …
Optimal transactive energy trading of electric vehicle charging stations with on-site PV generation in constrained power distribution networks
This paper presents a two-level transactive energy market framework, that enables energy
trading among electric vehicle charging stations (EVCSs). At the lower level, the discharging …
trading among electric vehicle charging stations (EVCSs). At the lower level, the discharging …
Distributed optimal vehicle-to-grid approaches with consideration of battery degradation cost under real-time pricing
K Ginigeme, Z Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Electric vehicles (EV) are becoming increasingly popular due to their efficiency and
potentials to reduce greenhouse gas emission. However, penetration of a very large number …
potentials to reduce greenhouse gas emission. However, penetration of a very large number …