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THE SOC ESTIMATION OF THE LEAD-ACID BATTERY USING KALMAN FILTER

  • JEON, YONGHO (Department of Aviation Maintenance, JungWon University)
  • Received : 2021.08.15
  • Accepted : 2021.09.12
  • Published : 2021.09.30

Abstract

In general, secondary batteries are widely used as an electric energy source. Among them, the state of energy storage of mobile devices is very important information. As a method of estimating a state, there is a method of estimating the state by integrating the current according to an energy storage state of a battery, and a method of designing a state estimator by measuring a voltage and estimating a charge amount based on a battery model. In this study, we designed the state estimator using an extended Kalman filter to increase the precision of the state estimation of the charge amount by including the error of the system model and having the robustness to the noise.

Keywords

Acknowledgement

This work was supported by the Jungwon University Research Grant (No. 2019-003).

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