Heavy commercial vehicle hybrid power energy management method based on front road information

The invention provides a front road information-based heavy commercial vehicle hybrid power energy management method. The method comprises the following steps of acquiring the road position information, the gradient information and length information in front of a vehicle by using a high-precision map, and establishing a road gradient prediction model to obtain a predicted road gradient in front of the vehicle; common driving speeds of heavy commercial vehicles with the same vehicle type and similar loads in all sections of national expressways being collected through big data, a vehicle speedprediction model being established, and the predicted vehicle speed being obtained; and calculating the power demand of the vehicle in a period of time in the future by utilizing the predicted vehicle speed and the road gradient, and obtaining the optimal power distribution among all parts of the hybrid power system and the torque and the rotating speed of all the parts by utilizing a dynamic programming algorithm according to the power demand. According to the method, a problem that a transmission dynamic planning algorithm cannot predict future working conditions is solved, accurate planning of future power distribution can be achieved, and then the fuel economy of the hybrid power heavy commercial vehicle is improved.