Lead Acid Battery Analysis using Spectrogram

Kasim, Rizanaliah and Abdullah, Abdul Rahim and Selamat, Nur Asmiza and abidullah, Noor Athira and Tengku Zawawi , Tengku Nor Shuhada (2015) Lead Acid Battery Analysis using Spectrogram. Applied Mechanics and Materials, 785 (2015). pp. 692-696. ISSN 16609336

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Abstract

Battery is an alternative option that can be substituted for future energy demand. Numerous type of battery is used in industries to propel portable power and its makes the task of selecting the right battery type is crucial. These papers discuss the implementation of linear timefrequency distribution (TFD) in analysing lead acid battery signals. The time-frequency analysis technique selected is spectrogram. Based on, the time-frequency representations (TFR) obtain, the signal parameter such as instantaneous root mean square (RMS) voltage, direct current voltage (VDC) and alternating current voltage (VAC) are estimated. The parameter is essential in identifying signal characteristics. This analysis is focussing on lead-acid battery with nominal battery voltage of 6 and 12V and storage capacity from 5 until 50Ah, respectively. The results show that spectrogram technique is capable to estimate and identify the signal characteristics of Lead Acid battery.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Power Electronics & Drives
Depositing User:	Dr Abdul Rahim Abdullah
Date Deposited:	08 Jul 2015 01:07
Last Modified:	08 Jul 2015 01:07
URI:	http://eprints.utem.edu.my/id/eprint/14721
Statistic Details:	View Download Statistic

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