Battery internal resistance prediction and fault early warning method based on LSTM

Abstract

The invention provides a battery internal resistance prediction and fault early warning method based on LSTM. The method comprises the following steps: S1, classifying battery internal resistance change reasons; S2, selecting battery internal resistance influence factor parameters of n batteries as input of a battery internal resistance prediction model based on a long-short term memory method neural network; S3, constructing a battery internal resistance prediction model based on a long-short term memory method neural network; S4, obtaining current battery internal resistance data and a battery internal resistance change rate according to the battery internal resistance influence factor parameters of the current battery; S5, setting a battery internal resistance threshold value, a batteryinternal resistance change rate threshold value and a charging and discharging frequency interval; and S6, generating battery fault early warning information according to the information of the previous steps. The method has the advantages that the battery internal resistance is predicted through the battery internal resistance prediction model based on the long-short term memory method neural network, the battery fault can be positioned more clearly and quickly, the tedious process of blind battery inspection by maintenance personnel is simplified, and a foundation is laid for battery faultearly warning.

Description

technical field [0001] The invention relates to the field of battery internal resistance prediction and fault early warning, in particular to a battery internal resistance prediction and fault early warning method based on a long-short-term memory neural network (LSTM). Background technique [0002] Valve-regulated lead-acid batteries are widely used in substations due to their advantages of no acid mist and other gas discharge, no need to add water and measure electro-hydraulic specific gravity, and high power density. It plays a very important role in substations as a backup power source for DC systems. Its health status will affect the safe and stable operation of the system. At present, the failure of valve-regulated lead-acid batteries has constituted or is posing a major threat to the safety of power supply for substations, and relevant parties should pay enough attention to this. [0003] The internal resistance of the battery indicates the degree of battery aging, w...

AI Technical Summary

Problems solved by technology

However, the test method is time-consuming and laborious, and it is not suitable for working batteries

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