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Published in: Journal of Failure Analysis and Prevention 3/2014

01-06-2014 | Technical Article---Peer-Reviewed

Residual Capacity Estimation for Lead–Acid Batteries Used in Automobiles by the Method of Median Internal Resistance

Authors: Shang-Kuo Yang, Chih-Yung Huang

Published in: Journal of Failure Analysis and Prevention | Issue 3/2014

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Abstract

The purpose of this study was to investigate the method of residual capacity estimation for lead–acid batteries used in automobiles. First, relation charts for the internal resistances of a battery at various load currents to residual capacity percentages were established, and the relation charts for all load currents were then combined to obtain the corresponding residual capacity by calculating medians. The experimental equipment included lead–acid batteries for automobiles, an electronic loader, an internal resistance tester, and test cables. The experimental procedures were discharging the battery with the electronic loader, using the internal resistance tester to record the internal resistance, voltage, and temperature of the battery, and then transmitting the data to a computer via the test cables for analysis. The experiment obtained nine sets of data, which were recorded in Excel and illustrated using charts. The medians obtained from combining the internal resistance with the residual capacity percentages were used to generate the relation charts for the internal resistances at various load currents to the residual capacity percentages. Finally, 60 Ah was used as the normal capacity to estimate the residual capacity discharging time. Furthermore, a curve-fitting approach for determining the relation equation between internal resistances and capacities was used to replace the table look-up method for residual capacity estimation. The results revealed that the estimation errors after correction were acceptable.

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Metadata
Title
Residual Capacity Estimation for Lead–Acid Batteries Used in Automobiles by the Method of Median Internal Resistance
Authors
Shang-Kuo Yang
Chih-Yung Huang
Publication date
01-06-2014
Publisher
Springer US
Published in
Journal of Failure Analysis and Prevention / Issue 3/2014
Print ISSN: 1547-7029
Electronic ISSN: 1864-1245
DOI
https://doi.org/10.1007/s11668-014-9819-1

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