Optimized fuzzy logic control strategy of hybrid vehicles using ADVISOR

In order to increase fuel economy and decrease emitted pollution of Parallel Hybrid Vehicle (PHV), firstly a Fuzzy Logic Controller (FLC) is considered in this paper. Based on the torque desired for driving and the state of charge, its purpose is to select the optimum power split between the dual sources, which is one of the key points for PHV. Secondly, the Adaptive Neural-Fuzzy Inference System (ANFIS) method is the main contribution of this paper. ADVISOR was used as a modeling tool to determine the hybrid components and the energy management strategy parameter settings. Some simulation results are compared and discussed: the optimized FLC exhibit better performance in terms of fuel consumption and pollutant emissions.