Open Access
Nickel-Cadmium Battery Analysis Using Spectrogram
Rizanaliah Kasim,Abdul Rahim Abdullah,Nur Asmiza Selamat,Muhammad Sufyan Safwan Mohamad Basir,Mohd Zulkifli Ramli +4 more
- 01 Mar 2016
TL;DR: In this article, the analysis of signal charging and discharging for nickel-cadmium (Ni-Cd) battery using time-frequency distribution (TFD) which is spectrogram was presented.
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Abstract: Most electrical power is generated by utility plants in consuming simultaneously for real time. However, in some cases, energy storage systems become crucial when power generated from sources does not fulfill peak power load demand. Due to the reason, various technologies such as rechargeable battery are beneficial options for energy storage system. Thus, the accurate data information about the battery parameter is important, to make the usage of battery is more efficient. This paper presents the analysis of signal charging and discharging for nickel-cadmium (Ni-Cd) battery using time-frequency distribution (TFD) which is spectrogram. Spectrogram represents the signals in time-frequency representation (TFR). Based on the TFR, the signal parameters are estimated such as instantaneous voltage root mean square (RMS), instantaneous voltage direct current (V DC ) and instantaneous voltage alternating current (V AC ). Then, the signal characteristic can be calculated from the signal parameters. The framework of this paper focuses on the analysis of Ni-Cd battery with nominal battery voltage of 6 and 12V with the storage capacity from 5 to 50Ah, respectively. The battery charging and discharging is modeled using MATLAB/SIMULINK and the result shows that spectrogram is capable to identify the signal characteristic of Ni-Cd battery.
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Citations
Ni-Cd Batteries
Christine Jeyaseelan,Antil Jain,Parul Khurana,Dinesh Kumar,Sheenam Thatai +4 more
- 03 Jun 2020
22
Time-Frequency Domain Deep Convolutional Neural Network for Li-Ion Battery SoC Estimation
Ki-Hyeon Kim,Koog-Hwan Oh,Hyo-Sung Ahn,Hyunduck Choi +3 more
TL;DR: A novel deep neural network for the SoC estimation on the time–frequency domain that aggregates intermediate features and captures long-term hierarchical context information by introducing modified atrous spatial pyramid pooling and improves the estimation error score.
13
An investigation on the impact of the magnitude of electric charging current on the effective energy stored in lead acid batteries
TL;DR: In this article, a lead acid battery was charged to store a given quantity of energy for different constant electric charging current rates and the expected energy input and effective energy output for each charging current were calculated and the efficiencies computed accordingly.
13
•Dissertation
A Comparative Study On Time-Frequency Distribution Techniques For Battery Parameters Estimation System
Mohamad Basir,Muhammad Sufyan Safwan +1 more
- 01 Jan 2017
TL;DR: This research presents analysis of the battery charging/discharging signals using a spectral analysis technique, namely periodogram and time-frequency distributions (TFDs) which are spectrogram and S-transform techniques and best TFD is chosen in terms of accuracy of battery parameters, computational complexity in signal processing and memory size.
1
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TL;DR: In this article, a survey of the state of battery energy storage for power systems is presented, as well as a background on the modeling and simulation of those battery technologies, including pumped hydro storage and sodium-sulfur battery storage.
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