Research on Energy Management Strategy of Hybrid Electric Vehicle
Aiming at the phenomenon of unreasonable energy distribution in the energy management strategy of hybrid electric vehi-cles,while reducing the energy consumption and battery life decay rate of hybrid electric vehicles,based on the power system struc-ture,a method of RBFneural network and dynamic programming is proposed.Incorporate energy management strategies for hybrid vehicles.RBFneural network used in the prediction time domain predicted speed,in the time domain of the prediction vehicle demand torque,dynamic programming optimizes the predicted time domain and provides a rational distribution of engine and motor torque.The comparison between simulation and traditional energy management strategy verifies the superiority and accuracy of this method.The experimental results show that compared with the traditional strategy,the proposed energy management strategy can significant-ly improve fuel economy and reduce energy consumption by15.47%,which has practical application potential.
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