전력전자학회논문지 (The Transactions of the Korean Institute of Power Electronics)

  • 제26권4호
  • /
  • Pages.241-248
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  • 2021
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  • 1229-2214(pISSN)
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  • 2288-6281(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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선형 회귀 분석법을 이용한 머신 러닝 기반의 SOH 추정 알고리즘

Machine Learning-based SOH Estimation Algorithm Using a Linear Regression Analysis

  • Kang, Seung-Hyun (Dept. of Electrical & Computer Engineering, Sungkyunkwan University) ;
  • Noh, Tae-Won (Dept. of Electrical & Computer Engineering, Sungkyunkwan University) ;
  • Lee, Byoung-Kuk (Dept. of Electrical & Computer Engineering, Sungkyunkwan University)
  • 투고 : 2021.03.02
  • 심사 : 2021.04.20
  • 발행 : 2021.08.20
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초록

A battery state-of-health (SOH) estimation algorithm using a machine learning-based linear regression method is proposed for estimating battery aging. The proposed algorithm analyzes the change trend of the open-circuit voltage (OCV) curve, which is a parameter related to SOH. At this time, a section with high linearity of the SOH and OCV curves is selected and used for SOH estimation. The SOH of the aged battery is estimated according to the selected interval using a machine learning-based linear regression method. The performance of the proposed battery SOH estimation algorithm is verified through experiments and simulations using battery packs for electric vehicles.

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참고문헌

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