Training method, prediction method and device of storage battery low-voltage prediction model and medium

The invention relates to a training method, a prediction method, a device and a medium for a storage battery low-voltage prediction model, and the training method comprises the steps: obtaining a plurality of pieces of sample data according to the historical message information of a vehicle, and determining a time interval according to the sampling time of two adjacent pieces of sample data; when the voltage value of the current sample data is smaller than a low voltage threshold value, determining that the data label of the current sample data is a fault label; when the data label of the current sample data is a fault label and the time interval between the previous sample data and the current sample data is smaller than or equal to a time threshold value, determining that the data label of the previous sample data is the fault label; and based on the sample data with the data label, training to obtain a storage battery low-voltage prediction model so as to predict a storage battery low-voltage fault accordi