Lifetime estimation technique for lead-acid batteries

David C.C. Freitas, Marcos B. Ketzer, Marcos R.A. Morais, Antonio M.N. Lima

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)


Battery mathematical models can be employed to predict its behavior under various charging and discharging conditions, and in some applications, they are key elements for the successes of the design. In this paper, it is analyzed a lead-acid battery model for voltage and lifetime estimation. The chosen model synthesis is based on an electrical equivalent circuit, and has the features that allow it to be used in the calculation of the remaining capacity. The lifetime model employs an adaptive update mechanism during the simulation such that the battery performance is reduced depending on the operating conditions. This paper objective is to generalize the analyzed mathematical system to be used in any lead-acid battery. Both the model and the estimation algorithm are evaluated with two batteries with same voltage and nominal capacity. The generalization of equation is made by the addition of three new parameters to minimize an objective function based on the least squares error. The study is based on a specific scenario that makes the battery reached the end of its lifetime. With the addition of new parameters, the RMS error between real capacity and calculated capacity are evaluated.

TitelProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Herausgeber (Verlag)IEEE Computer Society
ISBN (elektronisch)9781509034741
PublikationsstatusVeröffentlicht - 21 Dez. 2016
Extern publiziertJa
Veranstaltung42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italien
Dauer: 24 Okt. 201627 Okt. 2016


NameIECON Proceedings (Industrial Electronics Conference)


Konferenz42nd Conference of the Industrial Electronics Society, IECON 2016


Untersuchen Sie die Forschungsthemen von „Lifetime estimation technique for lead-acid batteries“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren