abstract

• This paper model the corrosion phenomenon in a lead-acid battery via an equivalent electrical circuit (EEC). The parameter identification is carried out by a recursive least squares (RLS) algorithm with an adaptive forgetting factor. In order to achieve the analysis and validation of the model, this was programmed in MATLAB to solve it numerically and to be able to simulate different current profiles. The validation of the model was proved by using voltage and current measurements in the PS-260 battery terminals, which were submitted to a charge/discharge profile of ideal use. Modeling internal aging by EEC techniques is of interest to develop aging diagnosis schemes in a non-invasive way online for battery banks. © 2022 IEEE.

authors

• Segundo Ramírez Juan
• Visairo Cruz Nancy

publication date

• 2022-01-01

funding provided via

• Consejo Nacional de Ciencia y Tecnología, CONACYT: 1010810, A1-S-29705  Grant

published in

• 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022  Proceedings

keywords

• Corrosion; Electric network parameters; Equivalent circuits; MATLAB; Parameter estimation; Timing circuits; Charge-discharge profiles; Corrosion phenomena; Current profile; Equivalent electrical circuits; Forgetting factors; Lead-acid battery; Model and parameters identification; Paper models; Recursive Least Square algorithm; Lead acid batteries

Digital Object Identifier (DOI)

• 10.1109/ROPEC55836.2022.10018771

PubMed ID

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