ANFIS-MPPT Control Algorithm for a PEMFC System Used in Electric Vehicle Applications

The mobility sector is heavily reliant on fossil fuels for its operations. Fuel cells have a high energy content and use hydrogen as their major energy base which is renewable. As a result, they’re frequently regarded as excellent for zero-emission vehicle purposes. The control method is designed to efficiently absorb energy from the fuel cell stack. The power infrastructure was created with the functioning of an electric car in mind. An optimum power point monitoring regulator premised on the adaptive neurofuzzy inference system (ANFIS) has been tested for a proton exchange membrane fuel cell (PEMFC) technology that may be utilized in an electric automobile. The suggested controller’s functionality is evaluated in the MATLAB Simulink context amid typical operational circumstances and unexpected changes in the fuel cell.