Results 61 to 70 of about 86,738,107 (170)

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, Volume 14, Issue 5, Page 2583-2599, May 2026.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, Volume 14, Issue 4, Page 2103-2117, April 2026.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

A simulation study of the use of electric vehicles as storage on the New Zealand electricity grid [PDF]

, 2012
This paper describes a simulation to establish the extent to which reliance on non-dispatchable energy sources, most typically wind generation, could in the future be extended beyond received norms, by utilizing the distributed battery capacity of an ...
Rogers, Bill, Apperley, Mark, Monigatti, Paul   +2 more
core  

Vehicle-to-Grid Integration in Smart Energy Systems: An Overview of Enabling Technologies, System-Level Impacts, and Open Issues

Machines
Vehicle-to-grid (V2G) technology has emerged as a key enabler for coupling large-scale electric vehicle (EV) deployment with the operation of smart energy systems.
Haozheng Yu, Congying Wu, Yu Liu
doaj   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi, Abdulrahman Almijlad, Trinadh Pamulapati, Rajiv Ranjan, Devki Jha, Tejal Shah   +5 more
wiley   +1 more source

Introduction to SmartGrid using PEVs

, 2015
The smart grid, regarded as the next generation of power grid, uses two-way flows of electricity and information to create a widely distributed automated resilient energy delivery network.
Hossain, Jahangir, Jahangir Hossain, Lu, J, Junwei Lu, Lu, Junwei, Hossain, J   +5 more
core   +1 more source

Simulation and Modeling Techniques for Multi‐Objective Optimization of Hybrid Fast EV Charging Station

Battery Energy, Volume 5, Issue 2, March 2026.
Monte Carlo simulation (MCS) provides a probabilistic view of daily electric vehicle (EV) charging demand. The simulation model helps predict charging demand patterns in the absence of real‐time data on Electric Vehicles (EVs) in a particular location. It uses a bimodal Gaussian distribution to simulate morning and evening arrival peaks of the EVs [30],
Sana Sultan, Fawad Azeem, Habib Ullah Manzoor, Ghous Bakhsh Narejo, Tareq Manzoor   +4 more
wiley   +1 more source

Impacts of vehicle-to-grid (V2G) technologies on electricity market operations [PDF]

, 2007
The Vehicle-to-Grid (V2G) concept is based on the newly developed and marketed technologies of hybrid petrol-electric vehicles, most notably represented by the Toyota Prius, in combination with significant structural changes to the world's energy economy,
Liebman, Ariel, Walker, Geoff
core  

A Three-Phase Bidirectional Grid-Connected AC/DC Converter for V2G Applications

Journal of Control Science and Engineering, 2020
The smart grid and electric vehicles (EVs) are widely used all over the world. As the key role, the Vehicle-to-Grid (V2G) has been attracting increasing attention.
Jingang Han, Xiong Zhou, Song Lu, Pinxuan Zhao   +3 more
doaj   +1 more source

Real-time hardware-in-loop system based validation of vehicle-grid interface for bidirectional power flow control

TESEA, Transactions on Energy Systems and Engineering Applications
In the context of modern sustainable transportation technology, the terms Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) holds significant value. During V2G and G2V modes, vehicle and grid exchange power using various power converters to modulate the ...
Amit Sant, Kapil P. N.
doaj   +1 more source