• Corpus ID: 208264960

Experimental Verification of Lead Acid Battery Parameters Estimation

@inproceedings{Basir2016ExperimentalVO,
  title={Experimental Verification of Lead Acid Battery Parameters Estimation},
  author={Muhammad Sufyan Safwan Mohamad Basir and Abdul Rahim Abdullah and Rahifa Ranom and Rizanaliah Kasim and Nur Asmiza Selamat},
  year={2016}
}
The need of sustainable energy without any interference such as harmonics for mobility equipment became the major challenge in selecting suitable energy storage device. The rechargeable batteries become alternatives due to its ability to store and restore the energy that will maintain the continuity of the power supply. However, without proper monitoring of the battery performance, the condition of both equipment and battery itself can be worsening. This paper proposes a new time-frequency… 
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References

SHOWING 1-10 OF 12 REFERENCES

Battery Parameters Identification Analysis Using Periodogram

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

On-line estimation of Dynamic State-of-Charge for lead acid battery based on fuzzy logic

The performance and life expectancy of battery depend heavily on the battery management based on SOC estimation in photovoltaic systems and electric vehicles. The objective of work presented in this

System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics

TLDR
A BMS that estimates the critical characteristics of the battery (such as SOC, SOH, and RUL) using a data-driven approach is proposed and the proposed framework provides a systematic way for estimating relevant battery characteristics with a high-degree of accuracy.

Charge and discharge characteristics of lead-acid battery and LiFePO4 battery

  • A. HuaB. Z. Syue
  • Engineering
    The 2010 International Power Electronics Conference - ECCE ASIA -
  • 2010
The charge and discharge characteristics of lead-acid battery and LiFePO4 battery is proposed in this paper. The purpose of this paper lies in offering the pulse current charger of higher peak value

A seal lead-acid battery charger for prolonging battery lifetime using superimposed pulse frequency technique

A multilevel converter charger using superimposed pulse frequency technique for prolonging lead-acid battery lifetime is developed in this paper. The proposed state of charge is divided into three

A Parameter Identification Method for a Battery Equivalent Circuit Model

TLDR
A novel method of parameter identification for the equivalent circuit model is presented in this paper which makes use of a regression equation which is linear in variables that can be measured or calculated from the test.

A lithium-ion battery modeling for a HIL-battery simulator

  • Grace Pebriyanti
  • Engineering
    2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)
  • 2013
TLDR
The parameterized battery model is used for the battery simulator on its electric model and the results fulfill the requirements.

Experimental validation of a battery dynamic model for EV applications

This paper presents an improved and easy-to-use battery dynamic model. The charge and the discharge dynamics of the battery model are validated experimentally with four batteries types. An

Power quality monitoring system utilizing periodogram and spectogram analysis techniques

In a changing electric industry, monitoring power supply and power quality are critical to ensure optimal performance of power systems. Monitoring and analysis of power-line waveforms can be a vital

Power quality analysis using linear time-frequency distribution

This paper presents the implementation of linear time-frequency distribution (TFD) techniques to analyze power quality signals. The power quality signals are swell, sag, interruption, transient,