Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm
X Lü, Y Wu, J Lian, Y Zhang, C Chen, P Wang… - Energy Conversion and …, 2020 - Elsevier
Under the background of current environmental pollution and serious shortage of fossil
energy, the development of electric vehicles driven by clean new energy is the key to solve …
energy, the development of electric vehicles driven by clean new energy is the key to solve …
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 …
Genetic algorithm optimized neural network based fuel cell hybrid electric vehicle energy management strategy under start-stop condition
D Min, Z Song, H Chen, T Wang, T Zhang - Applied Energy, 2022 - Elsevier
Because of its high efficiency, no emission, low noise and many other advantages, proton
exchange membrane fuel cell is considered to be able to be applied in automobiles to …
exchange membrane fuel cell is considered to be able to be applied in automobiles to …
Deep learning-based forecasting approach in smart grids with microclustering and bidirectional LSTM network
Uncertainty modeling of renewable energy sources, load demand, electricity price, etc.
create a high volume of data in smart grids. Accordingly, in this article, a precise forecasting …
create a high volume of data in smart grids. Accordingly, in this article, a precise forecasting …
Daily electric vehicle charging load profiles considering demographics of vehicle users
Travel pattern of an electric vehicle (EV) user and the accuracy of their probability
distribution models are the key factors affecting the simulation and prediction of EV charging …
distribution models are the key factors affecting the simulation and prediction of EV charging …
[HTML][HTML] A new wireless charging system for electric vehicles using two receiver coils
Usually, electric vehicle systems are based on various modules that should ensure the high
power and stability of the vehicle on the track. The majority of these components are linked …
power and stability of the vehicle on the track. The majority of these components are linked …
Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach
Various challenges and opportunities are recognized by increasing the penetration of
distributed energy resources (DERs) in power systems. In this regard, the concept of virtual …
distributed energy resources (DERs) in power systems. In this regard, the concept of virtual …
Bayesian deep learning-based probabilistic load forecasting in smart grids
Y Yang, W Li, TA Gulliver, S Li - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
The extensive deployment of smart meters in millions of households provides a huge
amount of individual electricity consumption data for demand side analysis at a fine …
amount of individual electricity consumption data for demand side analysis at a fine …
[HTML][HTML] Are travel surveys a good basis for EV models? Validation of simulated charging profiles against empirical data
G Pareschi, L Küng, G Georges, K Boulouchos - Applied Energy, 2020 - Elsevier
The impending uptake of electric vehicles (EV) in worldwide car fleets is urging stakeholders
to develop models that forecast impacts and risks of this transition. The most common …
to develop models that forecast impacts and risks of this transition. The most common …
Integration of charging behavior into infrastructure planning and management of electric vehicles: A systematic review and framework
Increasing electric vehicle (EV) sales have shifted the focus of researchers from EV adoption
to new operational challenges such as charging infrastructure deployment and …
to new operational challenges such as charging infrastructure deployment and …