Optimizing Solar Power Generation with Bidirectional Converter and Fuzzy Logic for Battery Management in EVs

The paper investigates the efficacy of fuzzy logic control based MPPT of a solar module scheme under unfavorable atmospheric situations and associated with load needs. The solar PV module system included a PV module, DC -DC converter, MPPT, and a load that is modelled using FLC to get the maximum extracted power. It removes the harmonics and gives the maximum power, and it makes the system robust so that the solar module can give the maximum power. The outcomes clearly show that FLC is favorable in harsh weather conditions and also gives the performance better than the conventional methods generally used in PV modules. The simulation models give the results in terms of irradiance, temperature, and load variability under steady state conditions after removing the power oscillations.