Application of Maximum Length Sequences to Battery Charge Programming for Parameter Estimation in Lead-Acid Batteries

摘要

This paper continues previous work using maximum length sequences in parameter estimation for batteries. Implementation of designed charge current waveforms using Pseudo Random Binary Sequences (PRBS) as an excitation signal for battery state evaluation is explored. The work is supported with experimental investigations, and comparisons are made to previously developed techniques using PRBS in the discharge mode. Examination of the test findings and the correlations obtained are subsequently presented as the basis for a parameter estimation system which can be used as part of the charging regime of the batteries in application. Models are developed for the test batteries using curve fitting from simulations, compared with the test results obtained experimentally which are examined using frequency domain analysis.