Electrical Vehicles are gaining popularity gradually. Fuel Cell Technologies are one of the best practical solutions for vehicular applications because they can be used as another possibility of fuel converters and are nature-friendly. Unlike conventional vehicles converting hydrogen gas into electricity produces only water and heat as a byproduct which means fuel cell vehicles do not create a channel of pollution where ever they are driven. For energy balance, the integration of thermodynamic and electrochemical phenomenon must take place in a fuel cell. The combination of both modules makes it possible to anticipate the fuel cell power, voltage, current based on the ambient temperature and demanded current. However, an autonomous fuel cell system may not be capable to meet the load demands especially during peak demands periods, transient events or cold start for vehicular application. A Supercapacitor bank can supply an ample of power but cannot store much energy. By operating the proton exchange membrane fuel cell (PEMFC) ultracapacitor and battery in parallel, can fulfill the steady-state and peak power demands and hence use of an FC/SC hybrid model provides a potential solution for better energy efficiency while reducing the cost of FC power technology. This also suggests a control principle for utilizing PEM fuel cell as a main power source and ultracapacitor, battery as an auxiliary power source for electric vehicle applications. The paper explains in detail the design and development of Modeling of PEMFC Based Electric Vehicle using MATLAB. This system includes a parallel connection of PEMFC, supercapacitor and battery connection through the DC-DC Boost converter. This report critically analyses the challenges which can be faced in EV’s effective and efficient power unit. It also throws light on the application of supercapacitor application as a power buffer in electrical vehicles. The basic idea behind this design was to improve driving range, efficiency, and range of an electric vehicle. Finally, simulation results models are presented and analyzed.