[HTML][HTML] Hybrid soft computing based optimization for low carbon energy management considering nonlinear battery recharging patterns of electric vehicles

M Khalid - Energy Reports, 2024 - Elsevier
Smart energy hubs and climate change are transforming traditional energy systems, fossil
fuel use, and greenhouse gas emissions. To address these challenges, alternative solutions …

Deep Q-Learning-Based Smart Scheduling of EVs for Demand Response in Smart Grids

VR Chifu, T Cioara, CB Pop, HG Rusu, I Anghel - Applied Sciences, 2024 - mdpi.com
Economic and policy factors are driving the continuous increase in the adoption and usage
of electrical vehicles (EVs). However, despite being a cleaner alternative to combustion …

Federated Learning-Based Service Caching in Multi-Access Edge Computing System

TP Tran, AHN Tran, TM Nguyen, M Yoo - Applied Sciences, 2024 - mdpi.com
Multi-access edge computing (MEC) brings computations closer to mobile users, thereby
decreasing service latency and providing location-aware services. Nevertheless, given the …

State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches

A Haraz, K Abualsaud, A Massoud - IEEE Access, 2024 - ieeexplore.ieee.org
Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for
optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and …

Parallel Algorithm on Multicore Processor and Graphics Processing Unit for the Optimization of Electric Vehicle Recharge Scheduling

V Roberge, K Brooks, M Tarbouchi - Electronics, 2024 - mdpi.com
Electric vehicles (EVs) are becoming more and more popular as they provide significant
environmental benefits compared to fossil-fuel vehicles. However, they represent substantial …

[HTML][HTML] Vehicle-To-Grid (V2G) Charging and Discharging Strategies of an Integrated Supply–Demand Mechanism and User Behavior: A Recurrent Proximal Policy …

C He, J Peng, W Jiang, J Wang, L Du… - World Electric Vehicle …, 2024 - mdpi.com
With the increasing global demand for renewable energy and heightened environmental
awareness, electric vehicles (EVs) are rapidly becoming a popular clean and efficient mode …

[HTML][HTML] Electric Vehicles coordination for grid balancing using multi-objective Harris Hawks Optimization

C Pop, T Cioara, V Chifu, I Anghel, F Bellesini - Energy Reports, 2024 - Elsevier
The rise of renewables coincides with the shift towards Electrical Vehicles (EVs) posing
technical and operational challenges for the energy balance of the local grid. Nowadays, the …

Electric Vehicle Parking Lot Scheduling Using Parallel Genetic Algorithm on a Graphics Processing Unit

V Roberge, M Tarbouchi… - 2024 Sixth International …, 2024 - ieeexplore.ieee.org
Electric Vehicles (EV) are increasingly popular due to environmental benefits but can strain
the power grid. Optimizing EV charging in large parking lots is a challenge. This study uses …

Application of Genetic Algorithms to Electrical Vehicle Industries

R Duggal, M Khosravy, O Witkowski - Frontiers in Genetics Algorithm …, 2024 - Springer
Fifty-four years after Karl Benz decided to put a gas-powered engine into a three-wheeled
vehicle and filed a patent for his innovation which revolutionized the automobile industry in …

Dynamic Pricing in EV Charging Stations with Renewable Energy and Battery Storage

CAM Silva, JR Andrade, RJ Bessa… - 2024 20th International …, 2024 - ieeexplore.ieee.org
The integration of electric vehicles is paramount to the electrification of the transport sector,
supporting the energy transition. The charging process of electric vehicles can be perceived …