The global impact of hybrid electric vehicles (HEVs) is exponentially rising as it is an
emission-free and reliable alternative to fossil fuel-based vehicles that cause enormous …

Fuel cell hybrid electric vehicles (FCHEV) are one of the most promising new energy
vehicles. The cost and lifetime of its powertrain have limited its commercial development …

This paper proposes an AI-embedded FPGA-based Smart Energy Management System
(SEMS) that ensures intelligent, secure, consistent, and synchronous energy management …

The hybrid combination of hydrogen fuel cells (FCs) and batteries has emerged as a
promising solution for efficient and eco-friendly power supply in maritime applications. Yet …

Deep reinforcement learning (DRL) has become the mainstream method to design
intelligent energy management strategies (EMSs) for fuel cell hybrid electric vehicles with …

This study introduces a hybrid energy storage system that combines advanced flywheel
technology with hydrogen fuel cells and electrolyzers to address the variability inherent in …

This paper presents a comprehensive review of energy management systems for hybrid
electric vehicles with a focus on rule-based and reinforcement learning-based techniques …

Swarm intelligence algorithm is now a research focus for the energy optimization of fuel cell
systems to improve hydrogen utilization efficiency. However, conventional algorithms exhibit …

The voltage-sag is one of the crucial measures of power quality of electric distribution
networks. Among the causes of voltage sag is simultaneously starting of water-pumping …

Due to the unpredictability of the majority of green energy sources (GESs), particularly in
microgrids (μGs), frequency deviations are unavoidable. These factors include solar …