At the beginning of the cycle, the state government must define the electric vehicle development aim and opportunity, as well as the impediments to electric car acceptance in the state. These two components are intertwined and serve to prepare policymakers for the remainder of the policymaking process using IOT (Internet of Thing). The obstacles have an impact on how short-term and long-term goals are defined, as well as how the opportunity. The Non-linear consists of both active and reactive power control and it contains different types of storage device. The predictive control is the controlling technique which is an internal combination and alternative source management technique. In the existing method, the micro hybrid based linear model technique is used in electrical vehicle wherein energy cannot be stored properly which causes unbalance in voltage source constantly. So, in the proposed method, hybrid technique is introduced for electrical vehicle based on Fuel cell. IoT-based system with data flow diagram and flowchart showing how the system works. The Fuel cell is based on Energy Management System (EMS) and outgoing processes. A single phase input source transfers while using DC-DC converter for buck and boost operation. The Hybrid works when the acceleration gives the output to drain and when the break is applied, the energy is produced. The inverter converts the DC output to AC output and connects to the step down transformer. The experimental output with nonlinear model Control Energy Executive system can satisfy the energy efficiency requirements and maximize its performance in the fuel cell.