A new control strategy for energy management in Plug-in Hybrid Electric Vehicles based on Fuzzy Cognitive Maps

In this paper, a new control strategy for energy management in Plug-in Hybrid Electric Vehicles (PHEVs) using Fuzzy Cognitive Map (FCM) is presented. In this strategy, FCM is used as a supervisory control such that the State of Charge (SoC) of the battery is kept in the acceptable range and fuel consumption per kilometer is reduced, in addition to providing the request power. Since this method does not need to have an accurate model of the system, it has lower computational complexity in determining the control law and its implementation is easier than the classical methods. In this paper, the PHEV is series-parallel. For analysis the performance of the proposed control strategy, three actual and standard driving cycles and a typical urban driving cycle based on the actual traffic condition in Tehran city, have been used. Simulation results show the proposed control strategy provides the request power, reduceing the fuel consumption and keeps the SoC in high level, in comparison to conventional Fuzzy Controller.