NDLI: The detection of the state of health of lead-acid batteries

Content Provider	IEEE Xplore Digital Library
Author	Spath, V. Jossen, A. Doring, H. Garche, J.
Copyright Year	1997
Description	Author affiliation: Center for Solar Energy & Hydrogen Res., Ulm, Germany (Spath, V.)
Abstract	The authors have tested, for about 6 years, four different types of lead-acid batteries under 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 categorised in three fuzzy clusters. These three fuzzy clusters: (1) starting phase (new phase); (2) working phase; and (3) capacity drop phase should able to describe the ageing behaviour of the battery sufficiently. For all fuzzy analysed data, they 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.
Starting Page	681
Ending Page	686
File Size	405576
Page Count	6
File Format	PDF
ISBN	0780339967
DOI	10.1109/INTLEC.1997.646070
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-23
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Battery charge measurement Automatic testing Current measurement Voltage Fuzzy sets State estimation Time measurement Impedance Circuit testing Solar energy
Content Type	Text
Resource Type	Article

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