▎ 摘　　要

NOVELTY - The method involves obtaining a voltage data and power data of graphene battery, where the voltage data in the real-time voltage collected graphene battery is charged to the preset state of charge (SOC) and the power data is used as the discharge power of a discharge period on the battery graphene. A current energy loss value of the battery graphene is calculated to the power data, where the energy loss value represents a portion that not used in the battery capacity. The voltage data is pre-processed to obtain an input data. The input data is input into the preset LSTM-FC model to obtain the predicted SOH. The predicted SOC is corrected to obtain the real-time SOC graphene the battery using the energy loss value. USE - Method for monitoring graphene battery capacity by using electronic device (claimed) ADVANTAGE - The method enables improving prediction accuracy of the SOC, since the predicted SOH calculated by the voltage data is corrected to obtain the real-time SOC. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are included for: (1) a system for monitoring graphene battery capacity; (2) a computer readable storage medium for storing a set of instructions for a method for monitoring graphene battery capacity. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating of a method for monitoring graphene battery capacity (Drawing includes non-English language text). S101Step for obtaining voltage data and power graphene of battery S102Step for calculating current energy loss value of battery graphene to power data S103Step for pre-processing voltage data to obtain input data and inputting data into preset LSTM-FC model to obtain predicted SOH S104Step for using energy loss value correction prediction SOC to obtain graphene SOC of battery