[HTML][HTML] A comprehensive review of vehicle-to-grid integration in electric vehicles: Powering the future

P Kumar, HK Channi, R Kumar, A Rajiv… - Energy Conversion and …, 2024 - Elsevier
The studies have focused on a bibliometric review of electric vehicle (EV) integration with
the grid. It follows a methodical procedure using a pre-established search strategy to …

[HTML][HTML] Electric vehicle charging technologies, infrastructure expansion, grid integration strategies, and their role in promoting sustainable e-mobility

AR Singh, P Vishnuram, S Alagarsamy, M Bajaj… - Alexandria Engineering …, 2024 - Elsevier
The transport sector is experiencing a notable transition towards sustainability, propelled by
technological progress, innovative materials, and a dedication to environmental …

A three-level model for integration of hydrogen refuelling stations in interconnected power-gas networks considering vehicle-to-infrastructure (V2I) technology

AR Jordehi, SA Mansouri, M Tostado-Véliz, R Sirjani… - Energy, 2024 - Elsevier
The coupling with natural gas networks creates an excellent opportunity for renewable-rich
power systems to facilitate the utilisation of renewable energy resources; on the other hand …

A survey on fuzzy control for mechatronics applications

RE Precup, AT Nguyen, S Blažič - International Journal of Systems …, 2024 - Taylor & Francis
Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm

A Rajagopalan, K Nagarajan, M Bajaj… - Scientific Reports, 2024 - nature.com
The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …

Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks

K Suresh, E Parimalasundar, BH Kumar, AR Singh… - Scientific Reports, 2024 - nature.com
This paper introduces a novel design for a universal DC-DC and DC-AC converter tailored
for DC/AC microgrid applications using Approximate Dynamic Programming and Artificial …

[HTML][HTML] Multi-objective optimization of PI controller for BLDC motor speed control and energy saving in Electric Vehicles: A constrained swarm-based approach

SSA Naqvi, H Jamil, N Iqbal, S Khan, DI Lee, YC Park… - Energy Reports, 2024 - Elsevier
Abstract Proportional Integral Derivative (PID) controllers are widely employed in industrial
applications due to their effectiveness, simplicity, and versatility. Within the automotive …

Developing an optimal building strategy for electric vehicle charging stations: automaker role

J Feng, Y Yao, Z Liu - Environment, Development and Sustainability, 2024 - Springer
The scarcity of electric vehicle (EV) charging stations is a critical barrier to the widespread
adoption of EVs. Manufacturers face uncertainty in participating in building charging stations …

Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia

EF Agajie, TF Agajie, I Amoussou, A Fopah-Lele… - Scientific Reports, 2024 - nature.com
This paper explores scenarios for powering rural areas in Gaita Selassie with renewable
energy plants, aiming to reduce system costs by optimizing component numbers to meet …

A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems

B Kanouni, AE Badoud, S Mekhilef, A Elsanabary… - Scientific Reports, 2024 - nature.com
This research study presents the application of the FC-PCC (Fuzzy Logic Predictive Current
Control) algorithm in the context of maximum power point tracking (MPPT) for a proton …