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Proceedings Paper

Research on the fiber reflecting sensor for detecting the residual capacity of the lead-acid battery
Author(s): Mingfu Zhao; Nianbing Zhong; Yan Chen; Yuwei Luo
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Paper Abstract

According to the Lambert-Bee law, we can see that the photic absorption coefficient is related to the matter's concentration, the distance of the light through the absorption medium and the transmitted light intensity. The paper just according to the physical phenomena and the theory make the reflex energy relate to the concentration testing of the electrolyte, at the same time the electrolyte's concentration is related to the capacity of lead-acid battery on a corresponding function relation, so we can know the capacity state of the lead-acid battery according to the measurement on the electrolyte's concentration. According to the experiment and research the author deeply discussed how the temperature change affects the capacity of lead-acid battery and the concentration's changing relation, according to the analyses of the thermo-optic effect, we made a new reflecting fiber sensor based on the comparative temperature testing theory and absorption which can eliminate the temperature effect on the tested signal namely the output signal just related to the concentration, so really reflects the change of the capacity of the lead-acid battery when it is in the charge and discharge process. The results of the experiment and theory analyses show that this method is easy to realize the online testing of the capacity of lead-acid battery. This sensor has many merits such as precise measurement, sensitive reaction, long-life use etc. It can be widely used in the electric capacity testing of the automobile lead-acid battery, the electric capacity testing of the industry lead-acid battery, liquor's concentration testing and salinity testing of the sea and have a bright future.

Paper Details

Date Published: 6 November 2006
PDF: 7 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63573X (6 November 2006); doi: 10.1117/12.717266
Show Author Affiliations
Mingfu Zhao, Chongqing Institute of Technology (China)
Nianbing Zhong, Chongqing Institute of Technology (China)
Yan Chen, Chongqing Institute of Technology (China)
Yuwei Luo, Chongqing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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