Results 51 to 60 of about 1,284 (183)
Vehicle‐Pile‐Network Digital Twin Based on Adaptive Consensus Mechanism of Unity Data‐Driven Model
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 +5 more
wiley +1 more source
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 +6 more
wiley +1 more source
POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS
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 +5 more
wiley +1 more source
Challenges for Implementing Vehicle-to-Grid Services in Parking Lots: A State of the Art
Electric vehicles (EVs) play a vital role in the transition to renewable energy and decarbonisation, and there is increasing global interest in expanding their use.
Antonio Comi, Elsiddig Elnour
doaj +1 more source
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 +5 more
wiley +1 more source
An anonymous authentication protocol for vehicle to grid based on elliptic curve cryptography
As an important component of the smart grid, Vehicle-to-Grid (V2G) can achieve bidirectional exchange of data and power flow between electric vehicles and smart grid, and is an effective promoter for grid storage and decarbonization.
Zeyu Sun, Yan Wang
doaj +1 more source
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 +4 more
wiley +1 more source
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad +4 more
wiley +1 more source
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
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
wiley +1 more source

