Battery parameters identification analysis using periodogram

• Main Authors: Kasim, Rizanaliah, Abdullah, Abdul Rahim, Selamat, Nur Asmiza, Baharom, Mohamad Faizal, Ahmad, Nur Hafizatul Tul Huda
• Format: Article
• Language: English
• Published: Trans Tech Publications, Switzerland 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/14723/1/2015%20Journal%20AMM%20Battery%20Parameters%20Identification%20Analysis%20using%20Periodogram.pdf; http://eprints.utem.edu.my/id/eprint/14723/; https://www.scientific.net/AMM.785.687
• Institution: Universiti Teknikal Malaysia Melaka

Batteries are essential components of most electrical devices and one of the most important parameters in batteries is storage capacity. It represents the maximum amount of energy that can be extracted from the battery under certain specified condition. This paper presents the analysis of charging and discharging battery signal using periodogram. The periodogram converts waveform data from the time domain into the frequency domain and represents the distribution of the signal power over frequency. This analysis focuses on four types of batteries which are leadacid (LA), lithium-ion (Li-ion), nickel-cadmium (Ni-Cd) and nickel-metal-hydride (Ni-MH). This paper used battery model from MATLAB/SIMULINK software and the nominal voltage of each battery is 6 and 12V while the capacity is 10 and 20Ah, respectively. The analysis is done and the result shows that varying capacity produce different power at a frequency and voltage at DC component.