Method, device and equipment for predicting open-circuit voltage of battery and storage medium

The invention discloses a battery open-circuit voltage prediction method, device and equipment and a storage medium, and the method comprises the steps: carrying out the data analysis of a long-time standing curve sample and a short-time standing curve sample of a battery sample under different SOC values through setting a neural network model; the quantitative relationship among the SOC value, the first short-time discharge curve, the second short-time discharge curve, the short-time relaxation curve and the long-time relaxation curve is determined in a targeted manner; for each determined SOC value, the data processing processes of the first short-time discharge curve and the second short-time discharge curve are similar, so that a long-time relaxation curve corresponding to the battery can be organically corresponding only when the short-time relaxation curve of the battery is obtained; and thus, the open-circuit voltage value corresponding to the short-time discharge curve to be processed can be accuratel