Lead Acid Battery Analysis Using Spectogram

Abstract:

Renewable energy is an alternative option that can be substituted for future energy demand. Many type of battery are used in commerce to propel portable power and this makes the task of selecting the right battery type is crucial. This paper presents the analysis of voltage charging and discharging for lead acid battery using time-frequency distribution (TFD) which is spectrogram. Spectogram technique is used to represent the signals in the time-frequency representation (TFR). The parameter of a signal such as instantaneous root mean square (RMS) voltage, direct current voltage (V_DC) and alternating current voltage (V_AC) are estimated from the TFR to identify the signal characteristics. This analysis, focus on lead-acid battery with nominal battery voltage of 6 and 12V and storage capacity from 5 until 50Ah. The battery is a model using MATLAB/SIMULINK and the results show that spectrogram technique is capable to identify and determine the signal characteristic of Lead Acid battery.

• Periodical: Applied Mechanics and Materials (Volume 785)
• Pages: 692-696
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.785.692
• Online since: August 2015
• Authors: Rizanaliah Kasim*, Abdul Rahim Abdullah, Nur Asmiza Selamat, N.A. Abidullah, Tengku Nor Shuhadah Tengku Zawawi
• Keywords: Instantaneous Root Mean Square (RMS), Lead Acid, MATLAB/SIMULINK, Time Frequency Distribution (TFD), Time Frequency Representation (TFR)

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