Research on Optimization Energy Management Strategies Based on Driving Cycle Recognition for Plug-in Hybrid Electric Vehicle

In order to make the plug-in hybrid electric vehicle obtain optimal energy consumption economy and adapt to more complex working environment, the optimization energy management strategies based on driving cycle recognition were made. First, six kinds of cycle as standard working were selected to represent urban congestion, city suburban and highway, and the characteristic parameters of block segmentation were calculated by use of composite uniform method. Second, the extreme learning machine was applied to train and identity working conditions. Third, the optimum algorithm was applied to calculate the energy distribution rules of six standard cycles, which was stored control parameter library in order to call. On the MATLAB/SIMULINK platform, the optimization mode was built and the energy management strategy of conditions recognition and conditions without recognition were simulated. Simulation results indicate that the energy consumption economy of control strategy based on driving cycle recognition have improved 13.8%, 16.4%, 14.8%, 11.1%, when the initial value of SOC is 0.95,0.75,0.55 and 0.35.