Reddi Rani,Jithendra Gowd,Dharani Lakshmi,




High voltage IBC,Fuel cell EV,HVG,ANFIS,


Due to extra effective control on emissions of carbon gas and economic benefits, Fuel cell EV is evolving into more favourite in the vehicle industry. Now- adays pollution is one of the important factors to reduce for better life. This paper introduces a neural network system based MPP tracking controller to track the maximum power from the01.260-kW proton exchange membrane fuel cell (PEMFC). The proposed neural network MPPT controller utilizes an adaptive-network based fuzzy inference system (ANFIS) algorithm to track the PEMFC's maximum power point. Switching frequency, voltage-gain required high for the propulsion of fuel cell EV. A 3-phase high voltage gain with interleaved technique based boost converter is intended for the fuel cell EV system to get the maximum voltage gain. The interleaving type technique minimizes ripple in input fuel cell current and the voltage stress on the used semiconductor devices. The analysis of the performance of the Fuel cell EV system with ANFIS controller used is compared with the radial basis FN controller in Simulink/MATLAB.


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