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Model-based Analysis of Cell-to-Cell Imbalance Characteristic Parameters in the Battery Pack for Fault Diagnosis and Over-discharge Prognosis

배터리 팩 내부 과방전 사전 진단을 위한 모델기반 셀 간 불균형 특성 파라미터 분석 연구

  • Park, Jinhyeong (Dept. of Electrical Engineering, Chungnam National University) ;
  • Kim, Jaewon (Dept. of Electrical Engineering, Chungnam National University) ;
  • Lee, Miyoung (Dept. of Electrical Engineering, Chungnam National University) ;
  • Kim, Byoung-Choul (Power Grid Integration Team Power & Industrial System R&D Center, Hyosung Corporation) ;
  • Jung, Sung-Chul (Power Grid Integration Team Power & Industrial System R&D Center, Hyosung Corporation) ;
  • Kim, Jonghoon (Dept. of Electrical Engineering, Chungnam National University)
  • Received : 2020.12.02
  • Accepted : 2021.06.18
  • Published : 2021.12.31

Abstract

Most diagnosis approaches rely on historical failure data that might not be feasible in real operating conditions because the battery voltage and internal parameters are nonlinear according to various operating conditions, such as cell-to-cell configuration and initial condition. To overcome this issue, the estimator and the predictor require integrated approaches that consider comprehensive data, with the degradation process and measured data taken into account. In this paper, vector autoregressive models (VAR) with various parameters that affect overdischarge to the cell in the battery pack were constructed, and the cell-to-cell parameters were identified using an adaptive model to analyze the influence of failure prognosis. The theoretical analysis is validated using experimental results in terms of the feasibility and advantages of fault prognosis.

Keywords

Acknowledgement

본 연구는 (주)효성 중공업연구소의 지원을 받아 수행한 연구 결과입니다.

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