Disclosed in the present application are a battery charging method and apparatus, and a device and a medium. The method includes; collecting, at a preset time interval, battery charging state data of a rechargeable battery within each of the preset time intervals in real time; when the battery charging state data within any one of the preset time intervals is collected, using the battery charging state data within the preset time interval as a training data set, inputting the training data set to an initial neural network model for training, and during the process of training, updating a preset network parameter on the basis of the difference value between a model output value corresponding to each piece of battery charging state data and a preset threshold until difference value between model output value corresponding to present battery charging state data and the preset threshold meets a preset error condition.