Fuzzy Logic Based Power Train Controller For Different Hybrid Electric Vehicle Configurations

The most important contribution made by this study is the proposal of a fuzzy logic global power management strategy for hybrid electric vehicles powered by the machine Electric powertrain. This has been investigated from three different vantage points throughout the process. The first challenge is finding the optimal distribution of power between all of the internal combustion engines. The second step is to maximise the amount of potential energy that can be absorbed by the vehicle while it is braking. Finally, a dependable ON/OFF controller of the Internal Combustion Engine (ICE) implements a State of Charge (SOC) maintenance strategy for the battery. In order to accomplish these goals, the development of three different fuzzy logic (FL) controllers was necessary. The level of charge in the battery, the speed of the vehicle, the traction torque, and the amount of power that is required are all used in the creation of the FL controllers. In order to integrate the researched system, the simulation model technique is utilised. This technique is founded on the programmable MATLAB/Simulink environment. In this paper, a Fuzzy Logic Controller (FLC) is proposed as a means of providing optimal switching and controlling of Hybrid Electric Vehicles (HEV). FLC is utilised so that the desired speed can be attained from the Motor or IC Engine in a very short amount of time. The distribution of power between the ICE and the EM is the most important aspect of the fuzzy logical controller (FLC). In addition, the size and weight of electrical components like inverters and batteries can be significantly reduced in Plug-in Hybrid Electric Vehicles(PHEVs) mainly due to the design of these vehicles.