Hybrid electric vehicle energy management method based on machine vision and deep learning

The invention discloses a hybrid electric vehicle energy management method based on machine vision and deep learning, which belongs to the field of hybrid electric vehicle energy management. The method mainly comprises the following steps of: extracting available visual information from a vehicle-mounted camera by using a target detection method based on a convolutional neural network (CNN); further establishing a visual processing module based on the camera and the CNN; establishing a hybrid electric vehicle energy management method based on the DRL by utilizing a DRL algorithm; further utilizing a depth deterministic strategy gradient (DDPG) algorithm to construct a DDPG controller; combining a vision processing module and a DRL-based energy management method, establishing a hybrid electric vehicle energy management method based on machine vision and deep reinforcement learning through the DDPG controller, and achieving online real-time control over vehicle power distribution. According to the method provid