ANN based Solar MPPT for BLDC Motor load using Bidirectional Converter

Solar is a widely used renewable source of energy and therefore gaining profit from them efficiently and storing them for later use is crucial. Solar panels are connected to a boost converter to enhance the voltage according to the requirement. For improving the system performance, an artificial neural network (ANN) is used for maximum power point tracking (MPPT). As the earth has varying temperatures, so it is crucial to reserve energy in batteries to use it up to the fullest, so to meet such a purpose, a bidirectional converter is used which stores energy if the power exceeds the required value and delivers energy whenever is required. As conventional vehicle usage leads to an increase in pollution, so Indian government has planned to be a 100 ^% electric vehicle nation by 2030, so electric vehicles (EVs) are highly used. In EVs, mainly brushless DC (BLDC) motors are connected because they are advantageous as compared to others. The MATLAB results are also shown to validate the system.