Detection of the state of health of lead-acid batteries

V. Spaeth, A. Jossen, H. Doering, J. Garche

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

We have tested for about 6 years four different types of lead-acid batteries at cycling, floating, and self discharge conditions. A correlation has been established between the operating data (current, voltage) and the capacity measured during these tests by a fuzzy cluster approach. The data sets were categorized in three fuzzy clusters. These three fuzzy clusters: 1 - starting phase (new phase), 2 - working phase, 3 - capacity drop phase, should able to describe the ageing behaviour of the battery sufficient. For all fuzzy analyzed data we found a continuous correlation between the fuzzy classifications and the operation time of the battery, which themselves correlate to the development of the battery state of health. This fuzzy technique allows the prediction of the future behaviour of the battery by measuring the operating parameters (current, voltage) without explicitly checking the capacity, if the fuzzy set is determined once as a kind of calibration curve.

Original languageEnglish
Pages (from-to)681-686
Number of pages6
JournalINTELEC, International Telecommunications Energy Conference (Proceedings)
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 19th International Telecommunications Energy Conference, INTELEC - Melbourne, Aust
Duration: 19 Oct 199723 Oct 1997

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