METHOD FOR CONTROLLING ANODE PURGE VALVE OF FUEL CELL, DEVICE, MEDIUM, AND PRODUCT

This application provides a method for controlling an anode purge valve of a fuel cell, a device, a medium, and a product, and relates to the field of fuel cell control technologies. The method includes: acquiring a system state of a fuel cell system and a corresponding reward value; inputting the system state of the fuel cell system and the corresponding reward value into a trained prediction model, to obtain a control action; the trained prediction model is a neural network model based on a reinforcement learning algorithm; and controlling an anode purge valve of the fuel cell system based on the control action. In this application, the reinforcement learning technology is introduced into the control of the anode purge valve of the fuel cell.