Results 61 to 70 of about 4,345 (219)

Vehicle‐Pile‐Network Digital Twin Based on Adaptive Consensus Mechanism of Unity Data‐Driven Model

Engineering Reports, Volume 8, Issue 5, May 2026.
This study applies Unity real‐time simulation, data‐driven modeling, and adaptive consensus to vehicle‐pile‐network Digital Twins. It reduces mapping deviation by 37.3% and consensus delay by 64%, achieving high precision and efficiency for intelligent transportation and energy Internet.
Yajun Huang, Jingjing Shen, Yinong Li, Jun Wang, Jingming Zhang, Dingyuan Feng   +5 more
wiley   +1 more source

The adoption of Vehicle-to-Anything (V2X) in South Africa will reduce the combined cost of embedded solar generation and driving

South African Journal of Science
Battery electric vehicles (BEVs) are essential to global decarbonisation roadmaps and are being increasingly adopted in many countries. However, significant techno-economic barriers remain before the adoption of BEVs becomes widespread in the Global ...
David R. Walwyn
doaj   +1 more source

Technical investigation on V2G, S2V, and V2I for next generation smart city planning

Journal of Electronic Science and Technology, 2019
The paper investigates a few of the major areas of the next generation technological advancement, “smart city planning concept”. The areas that the paper focuses are vehicle to grid (V2G), sun to vehicle (S2V), and vehicle to infrastructure (V2I).
MD. Shahrukh Adnan Khan, Kazi Mahtab Kadir, Khandaker Sultan Mahmood, Md Ibrahim Ibne Alam, Ainun Kamal, Md Mamoon Al Bashir   +5 more
doaj   +1 more source

Implementing Vehicle-to-Grid (V2G) Technology With IEC 61850-7-420

IEEE Transactions on Smart Grid, 2013
Electric Vehicles (EVs) have become very popular due to climate change concerns and carbon emission reduction schemes. Accordingly, in recent years the awareness of people about EVs has increased significantly. In addition to the well-known advantages such as cleaner environment, less oil-dependency, cheaper fuel, more silent operation etc., through ...
Taha Selim Ustun, Cagil R. Ozansoy, Aladin Zayegh   +2 more
openaire   +2 more sources

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

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

Enhancing V2G Network Security: A Novel Cockroach Behavior-Based Machine Learning Classifier to Mitigate MitM and DoS Attacks

Advances in Electrical and Computer Engineering
V2G (Vehicle-to-Grid) is a system that allows an electric vehicle to connect and exchange energy with the electricity grid. This system is part of the smart-grid, which is an intelligent electricity network offering bidirectional communication and ...
MEKKAOUI, K.
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

Comparative study of conventional sliding mode control and integral sliding mode control for a bidirectional dc-dc converter in an electric vehicle charger [PDF]

E3S Web of Conferences
Bidirectional dc-dc converters are crucial for integrating electric vehicles (EVs) with the electrical grid, facilitating both grid-to-vehicle (G2V) and vehicle to grid (V2G) energy transfers.
Oualifi Khadija, Abouobaida Hassan, Mchaouar Youssef, Fathelkhair Abdelmoghit, Akli Hajar, Abouelmahjoub Younes   +5 more
doaj   +1 more source