| abstract |
The invention provides a multimode PHEV mode switching optimization and energy management method based on LSTM, which is characterized in that a large number of standard test working conditions are utilized to train a vehicle speed time sequence model, the vehicle speed time sequence model is called, and a current travel-based historical vehicle speed signal is generatedRolling to calculate the vehicle speed information of the future p sampling points, planning the battery electric energy utilization condition from the current moment to the p-th sampling point according to the vehicle speed information of the future p sampling points, and generating a local SOC constraint value SOC ref (t + p) according to the vehicle speed information of p future sampling points and the local SOC constraint value SOC ref (t + p), the real-time vehicle speed v (t) and the battery SOC optimize the operation mode switching and the torque distribution of the plug-in hybrid power system. The method and the device can ensure the calculation efficiency and the adaptability to different working conditions, and simultaneously improve the smoothness and the driving performance of the vehicle. |