Thermal energy storage for electric vehicles at low temperatures: Concepts, systems, devices and materials
In cold climates, heating the cabin of an electric vehicle (EV) consumes a large portion of
battery stored energy. The use of battery as an energy source for heating significantly …
battery stored energy. The use of battery as an energy source for heating significantly …
[HTML][HTML] Pathways to decarbonising the transport sector: The impacts of electrifying taxi fleets
The impacts of climate change have prompted governments to pledge to introduce policies
aiming to limit the increasing temperature. One of the strategies involves reducing and …
aiming to limit the increasing temperature. One of the strategies involves reducing and …
Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network
Abstract Short-term Electric Vehicle (EV) charging demand prediction is an essential task in
the fields of smart grid and intelligent transportation systems, as understanding the …
the fields of smart grid and intelligent transportation systems, as understanding the …
Short-term electric vehicle charging demand prediction: A deep learning approach
S Wang, C Zhuge, C Shao, P Wang, X Yang, S Wang - Applied Energy, 2023 - Elsevier
Short-term prediction of the Electric Vehicle (EV) charging demand is of great importance to
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …
Seasonal effects on electric vehicle energy consumption and driving range: A case study on personal, taxi, and ridesharing vehicles
The variation in BEV energy consumption and driving range under different weather and
driving conditions can affect the usefulness and consumer acceptance of these vehicles …
driving conditions can affect the usefulness and consumer acceptance of these vehicles …
Electric vehicle demand estimation and charging station allocation using urban informatics
This paper performs a novel data-driven approach to optimize electric vehicle (EV) public
charging. We translate the study area into a directed graph by partitioning it into discrete …
charging. We translate the study area into a directed graph by partitioning it into discrete …
An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale
As the market penetration of electric vehicles (EVs) increases, the surge of charging demand
could potentially overload the power grid and disrupt infrastructure planning. Hence, an …
could potentially overload the power grid and disrupt infrastructure planning. Hence, an …
Characterizing the motivational mechanism behind taxi driver's adoption of electric vehicles for living: Insights from China
Replacing combustion vehicles with electric vehicles has been promoted by the Chinese
government as a viable policy to reduce fuel consumption and greenhouse gas emissions …
government as a viable policy to reduce fuel consumption and greenhouse gas emissions …
Travel and energy implications of ridesourcing service in Austin, Texas
This paper identifies major aspects of ridesourcing services provided by Transportation
Network Companies (TNCs) which influence vehicles miles traveled (VMT) and energy use …
Network Companies (TNCs) which influence vehicles miles traveled (VMT) and energy use …
Modeling charging behavior of battery electric vehicle drivers: A cumulative prospect theory based approach
The behavior of drivers in charging a battery electric vehicle (BEV) can be influenced by
psychological factors such as personality and risk preference. This paper proposes a …
psychological factors such as personality and risk preference. This paper proposes a …