This paper presents a hybrid fast charging strategy for static wireless power transfer (WPT) systems that synergistically combines pulsed current and multi-stage current (MCM) modes to enable rapid yet battery-health-conscious electric vehicle (EV) charging, thereby promoting sustainable transportation. The proposed approach employs a memetic algorithm (MA) to dynamically optimize the charging parameters, achieving an optimal balance between speed and battery longevity while maintaining 90.78% system efficiency at the SAE J2954-standard 85 kHz operating frequency. A neural-network-based state of charge (SOC) estimator provides accurate real-time monitoring, complemented by MA-tuned PI control for enhanced resonance stability and adaptive pulsed current–MCM profiles for the optimal energy transfer. Simulations and experimental validation demonstrate faster charging compared to that using the conventional constant current–constant voltage (CC-CV) methods while effectively preserving the battery’s state of health (SOH)—a critical advantage that reduces the environmental impact of frequent battery replacements and minimizes the carbon footprint associated with raw material extraction and battery manufacturing. By addressing both the technical challenges of high-power WPT systems and the ecological imperative of battery preservation, this research bridges the gap between fast charging requirements and sustainable EV adoption, offering a practical solution that aligns with global decarbonization goals through optimized resource utilization and an extended battery service life.

This paper examines the modeling and nonlinear control of a Three-Phase Single-Stage Grid-Tied Photovoltaic System (TPSS-GTPS). The system structure is relatively simple, comprising a Photovoltaic (PV) generator connected to the grid through a three-phase Voltage Source Inverter (VSI) and an LCL filter designed to reduce harmonics in the grid current. The primary objective of the control system is to maximize the extraction of power from the Photovoltaic Generator (PVG) and deliver it to the utility grid with a Unity Power Factor (UPF), while ensuring the asymptotic stability of the closed-loop system. In order to achieve these objectives, a novel nonlinear controller was developed in the synchronous dq-frame following the backstepping approach. Evaluating the effectiveness of the designed controller, simulations were performed in the MATLAB/Simulink environment under various scenarios to consider the effects of irradiance and temperature on the PVG. The simulation results demonstrated that the controller successfully achieved all the specified objectives. Additionally, this study highlights the effectiveness of the LCL filter in reducing Total Harmonic Distortion (THD).

This paper presents a nonlinear control in the stationary αβ reference frame for single-stage three-phase grid-connected photovoltaic systems. The system under study consists of a photovoltaic generator (PVG), a three-phase inverter, and an LCL-filter on the grid side. The main control objectives are to extract the maximum power from the PVG and deliver that power into the grid with high-quality power i.e. unity power factor (UPF). In order to achieve these objectives, a nonlinear controller is designed by using backstepping technique. The performance of this controller is evaluated under standard and variable atmospheric conditions. Simulation results demonstrate that the proposed controller has successfully met all the specified objectives. This study highlights the potential of using the nonlinear control based on backstepping technique in photovoltaic systems with LCL-filters. The modeling and simulation of the complete system are carried out using MATLAB/Simulink environment.