Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
Exploiting battery storages with reinforcement learning: a review for energy professionals
The transition to renewable production and smart grids is driving a massive investment to
battery storages, and reinforcement learning (RL) has recently emerged as a potentially …
battery storages, and reinforcement learning (RL) has recently emerged as a potentially …
A Comprehensive Study of Degradation Characteristics and Mechanisms of Commercial Li(NiMnCo)O2 EV Batteries under Vehicle-To-Grid (V2G) Services
Lithium-ion batteries on electric vehicles have been increasingly deployed for the
enhancement of grid reliability and integration of renewable energy, while users are …
enhancement of grid reliability and integration of renewable energy, while users are …
Energy-saving optimization and control of autonomous electric vehicles with considering multiconstraints
Y Zhang, Z Ai, J Chen, T You, C Du… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The energy utilization efficiency of autonomous electric vehicles is seriously affected by the
longitudinal motion control performance. However, the longitudinal motion control is …
longitudinal motion control performance. However, the longitudinal motion control is …
Joint path selection, energy trading and task offloading in electric vehicle charging and computing network
With the advancement in battery technology and the rise of onboard computing capabilities,
electric vehicles (EVs) can serve as both energy prosumers and computing nodes. The …
electric vehicles (EVs) can serve as both energy prosumers and computing nodes. The …
An integrated optimisation-simulation framework for scalable smart charging and relocation of shared autonomous electric vehicles
Ride-hailing with autonomous electric vehicles and shared autonomous electric vehicle
(SAEV) systems are expected to become widely used within this decade. These electrified …
(SAEV) systems are expected to become widely used within this decade. These electrified …
Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles
Vehicle-to-grid (V2G) technologies can actively integrate electric vehicles (EVs) into power
systems, thus playing a crucial role in stabilizing the grid and facilitating seamless …
systems, thus playing a crucial role in stabilizing the grid and facilitating seamless …
FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting
Recent booming successes of electric vehicles (EVs) motivate emerging exploration of
spatio-temporal EV charging demand forecasting to inform policy making. Recent studies …
spatio-temporal EV charging demand forecasting to inform policy making. Recent studies …
A comprehensive review of battery-based power service applications considering degradation: Research status and model integration
Battery-based resources, such as electric vehicles and energy storage systems, are widely
used in various power service applications (PSAs). Battery degradation management is …
used in various power service applications (PSAs). Battery degradation management is …
Deep learning based approaches to enhance energy efficiency in autonomous driving systems
Energy efficiency is a crucially raised issue in the transportation sector. Moreover, recent
technological advancements have brought attention to autonomous driving systems, which …
technological advancements have brought attention to autonomous driving systems, which …