Lead acid battery application life prediction system

Abstract

A lead acid battery application life prediction system disclosed by the present invention comprises a parameter obtaining unit, an arithmetic unit and an output unit. The parameter obtaining unit obtains the discharge quantity value, the environment temperature and the residual capacity of a to-be-predicted lead acid battery under different environments and during a work engineering; the arithmetic unit comprises a failure average speed model calculation module for calculating an actual application failure coefficient of the to-be-predicted lead acid battery via an attenuation ratio and further establishing a failure average speed model of the battery with the failure coefficient, and a prediction decision function calculation module for setting a self-learning battery state of charge to be equal to an original bulk, and setting to obtain a least square support vector machine (LS-SVM) decision function when the battery failure coefficient is a constant and according to the structural risk minimization principle and a least square support vector machine; and the output unit outputs a life prediction result.

Description

technical field [0001] The invention relates to a dynamic life detection system for the application of a lead-acid storage battery and the system. Involving patent classification number, G01 Measurement; Test G01R Measuring electrical variables; Measuring magnetic variables; G01R31 / 00 Test apparatus for electrical properties; Detection apparatus for electrical faults; G01R31 / 36 Instruments for testing the electrical condition of accumulators or batteries, such as for testing life or state of charge. Background technique [0002] At present, various lead-acid batteries are widely used in life and production, and have become an indispensable part of today's society. In the process of using the battery, it is often necessary to know the actual application life of the battery. Therefore, a device that can predict the simple application life of the battery is needed. In the actual environment, the battery activity parameters are collected and processed within a period to predict...

AI Technical Summary

Problems solved by technology

[0003] Traditional monitoring of lead-acid batteries can only use measuring instruments to test their voltage, current, internal resistance, temperature and capacity, and cannot predict the remaining operating cycle life of the battery in this environment through real-time monitoring parameters

The running lead-acid battery can only be replaced when an accident occurs, or it is replaced blindly, which is a passive replacement of the battery, which brings safety hazards to life and production

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