Enhanced EV Battery Charging Using Solar PV and SOSMCC Disturbance Observer for Smooth Grid Integration with SABCAF Control

Lastly, the proposed solar photovoltaic (PV) electric vehicle (EV) charging system will be reliable, efficient, and environmentally friendly for transportation and energy management in the future. One way to lessen our reliance on traditional energy sources that rely on fossil fuels and the pollutants they produce is to charge electric vehicles using sustainable solar electricity. The proposed system integrates a solar array, a bidirectional DC-DC converter, a battery energy storage system, a Voltage Source Converter (VSC), and advanced charging control algorithms to ensure reliable and efficient operation during different load and weather conditions. Maximum Power Point Tracking (MPPT) ensures maximum power extraction from PV systems, and Second Order Sliding Mode Cascaded Control (SOSMCC) provides good control of DC-link voltage and enhances system stability. Additionally, the capacity to reject disturbances and minimize transient oscillations in the dynamic operating circumstances is enhanced by the Linear Extended State Disturbance Observer (LESDO). To enhance the power quality further, the Sparse-Aware Bias-Compensated Adaptive Filtering (SABCAF) method greatly reduces the harmonic distortion, thus keeping the Total Harmonic Distortion (THD) within the limits specified in IEEE 519 standard. The simulations were performed in MATLAB/Simulink and verified the efficiency of charging process, proper voltage control, reduction of harmonics, and smooth G2V and V2G operations. To conclude, the proposed design is a feasible, intelligent, and energy-efficient charging infrastructure for EVs supporting smart grid applications with renewable energy, which can play a crucial role in sustainable development and clean transportation.

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