Intelligent Rooftop PV-Fed BLDC Motor Drive Using ANFIS-Based MPPT for Smart Electric Vehicles

The incorporation of a photovoltaic (PV) system with an electric vehicle (EV) plays a crucial role in the adoption of clean energy systems and the promotion of sustainable transportation. Therefore, this research proposes a rooftop PV-powered Brushless Direct Current (BLDC) motor drive for enhancing the efficiency and dependability of EVs. The proposed system employs a novel Deep Boost Converter (DBC) to boost the PV voltage with reduced voltage stress and an extended conversion range. To enhance the performance of the DBC, a Herons Optimization Algorithm (HOA) with an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based Maximum Power Point Tracking (MPPT) controller is utilized, providing improved tracking efficiency. A Battery Energy System (BES) is employed to store energy and supply power to the BLDC motor when PV power is unavailable. The AC power obtained from the Voltage Source Inverter (VSI) is efficiently delivered to the grid through an LC filter. The MATLAB/Simulink tool is used to validate the performance of the proposed system, revealing that an efficiency of ۹۴% is attained, thereby contributing to the advancement of sustainable PV-based EV systems.

کلیدواژه ها:

PV system ، DBC ، HOA-ANFIS-MPPT ، Battery ، BLDC motor