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Adel Elgammal

Publications (4)

Multi-Objective Particle Swarm Tuning of Dual-Active-Bridge Control for Bidirectional Wireless Vehicle-to-Grid Interfaces: A Critical Review of Concurrent Harmonic, Switching-Loss and Dynamic-Response Optimisation

Adel Elgammal · Journal of Energy Research and Reviews · 2026

Bidirectional wireless vehicle-to-grid interfaces combine a loosely coupled inductive link with high-frequency bridges on both the infrastructure and the vehicle side, producing a converter that is structurally equivalent to a dual-active-bridge operating through a resonant netwo...

Open access Research Article 10.9734/jenrr/2026/v18i10547

Robust DC–DC and Inverter Control for PEM Fuel-Cell/Battery/Supercapacitor Hybrid Electric Vehicles Using Fuzzy Logic and MOPSO under Load Transients and Parameter Uncertainty

Adel Elgammal · Journal of Energy Research and Reviews · 2026

This paper presents a reliable power-electronics control and energy-management system for PEM fuel-cell electric vehicles (FCEVs) equipped with hybrid energy storage (battery–supercapacitor) to guarantee stability of the system in the presence of sudden load variations and parame...

Open access Research Article 10.9734/jenrr/2026/v18i2497

A Fuzzy Logic–MPC Driven Multi-Objective PSO Optimization Approach for Coordinated Energy Management and Maximum Power Point Tracking in Integrated Wave–wind Conversion System

Adel Elgammal · Journal of Energy Research and Reviews · 2025

Wave–wind energy conversion systems integrated have become an interesting alternative for enhancing the reliability of renewable power generation, mainly at maritime/coastal sites with severe resourcevariation. However, the interconnection of two very fluctuating energy sources i...

Open access Research Article 10.9734/jenrr/2025/v17i12485

Data-augmented Model Predictive Control Optimized by Multi-objective PSO for Active Power Filters in EV Charging Networks with Stochastic Load Profiles

Adel Elgammal · Journal of Energy Research and Reviews · 2025

This paper presents a Data-Augmented Model Predictive Control strategy that is optimized with Multi-Objective Particle Swarm Optimization for Active Power Filters operating in Electric Vehicle charging networks with random and unbalanced load profiles. The approach integrates phy...

Open access Research Article 10.9734/jenrr/2025/v17i11470