한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제22권3호
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  • Pages.300-304
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  • 2012
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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리튬폴리머 배터리 잔존충전용량 추정을 위한 비선형 관측기 설계

A Nonlinear Observer Design for Estimating State-of-Charge of Lithium Polymer Battery

  • 류석환 (대구대학교 전자전기공학부)
  • 투고 : 2012.03.06
  • 심사 : 2012.05.07
  • 발행 : 2012.06.25
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초록

본 논문은 리튬 폴리머 배터리 셀의 잔존충전용량을 추정하기 위한 비선형 관측기의 설계방법을 제시한다. 배터리 셀의 동적방정식은 비선형 전압원을 갖는 간단한 RC 전기회로로 모델하고 파라메터는 비선형 최적화기법을 이용하여 구한다. 관측기 이득은 제곱합 분해기법을 사용하여 오차의 동적방정식이 점근적으로 안정하고 추정오차 감소율이 설계자가 지정한 값 이하가 되도록 설계한다. 관측기의 성능을 입증하기 위하여 UDDS 전류 프로파일을 사용한 실험 데이터를 이용하여 모의실험을 수행하였다.

This paper presents a nonlinear observer design method for SOC(state-of-charge) estimation of Lithium polymer battery cell. The dynamic equation of the battery cell is modeled as a simple RC electrical circuit with a nonlinear voltage source and the parameters are obtained via nonlinear optimization. Using the sum of squares decomposition, the observer gain is designed such that the error dynamics is asymptotically stable and the decay rate is below the prescribed value. In order to illustrate the performance of the observer, a computer simulation is performed using the experimental data with the UDDS(urban dynamometer driving schedule) current profile.

키워드

참고문헌

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피인용 문헌

  1. Robust High-Gain Observer Based SOC Estimator for Uncertain RC Model of Li-Ion Batteries vol.23, pp.3, 2013, https://doi.org/10.5391/JKIIS.2013.23.3.214
  2. Generation of Daily Load Curves for Performance Improvement of Power System Peak-Shaving vol.24, pp.2, 2014, https://doi.org/10.5391/JKIIS.2014.24.2.141
  3. Estimation of State-of-charge and Sensor Fault Detection of a Lithium-ion Battery in Electric Vehicles vol.63, pp.8, 2014, https://doi.org/10.5370/KIEE.2014.63.8.1085