Fuzzy Based Solar MPPT for Electric Vehicle Application

Abstract The power quality of electrical equipment relates to how well the electricity specified meets the required parameters such as harmonics, higher frequency electrical signals, low power factor, and power quality problems. To overcome this drawback, the maximum output and stable operation of solar-based power generation systems depend on the control and management of home load and electrical vehicle applications. A non-isolated buck–boost converter design with switches and inductors operating in buck-boost mode. Compared to buck-boost conversion device, the step-up/step-down voltage ratio of the isolated converter has a better gain, and the output voltage improves the power quality. A fuzzy logic-based maximum power point tracking (MPPT) technique monitors voltage (V) and current (I) under environmental conditions such as high insolation variations and partial shade. The maximum power point of a photovoltaic (PV) module remains constant despite fluctuations in solar radiation and cell temperature. Fuzzy logic for high-frequency power conversion is performed in two stages using a bridge-type converter with a DC link in the base and a chain connection of DC–DC step-up conversion devices. The output result shows the harmonic distortion from the single-phase output with power analysis through simulation.