The application of fuzzy-neural network on control strategy of hybrid vehicles

In order to increase the fuel economy and decrease the emissions of hybrid vehicles, firstly a fuzzy logic control system is presented in this paper. In parallel hybrid vehicles, the whole required torque comes from internal combustion engine and motor engine respectively. Based on the desired torque for driving and state of charge, the fuzzy logic control system determines how the power splits between the dual sources, which is the key point for hybrid vehicles. Then, adaptive neural-fuzzy inference system (ANFIS) method is applied to optimize fuzzy logic control system based on the data of driving cycle. The main contribution of this paper is well application of fuzzy-neural network to improve original control system, which minimized the fuel consumption and emissions. The simulation results show very good performance of the proposed method.