Stationary lead-acid batteries maintenance management system

This work describes a study to obtain premature failures diagnoses in stationary lead acid batteries (flooded and valve regulated) by measurements of its internal resistance. The main goal was to obtain a methodology to estimate the future conditions of the batteries and replace then before failures. To achieve this goal we planned and executed some accelerated aging tests in different models of flooded and VRLA batteries used by LIGHT in CPqD's Batteries Laboratory. By analyze of the records, was developed a mathematical algorithm to predict the state of degradation of 2 V lead acid flooded and VRLA batteries for the next 24 months. From this prediction algorithm, based on conductance and/or impedance measurements, was developed a software implemented in WEB, JAVA language and SQL Server Database.