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Neuro Fuzzy System for the Estimation of the Remaining Useful Life of the Battery Using Equivalent Circuit Parameters

등가회로 파라미터를 이용한 배터리 잔존 수명 평가용 뉴로 퍼지 시스템

  • Received : 2020.12.08
  • Accepted : 2021.01.27
  • Published : 2021.06.20

Abstract

Reusing electric vehicle batteries after they have been retired from mobile applications is considered a feasible solution to reduce the demand for new material and electric vehicle costs. However, the evaluation of the value and the performance of second-life batteries remain a problem that should be solved for the successful application of such batteries. The present work aims to estimate the remaining useful life of Li-ion batteries through the neuro-fuzzy system with the equivalent circuit parameters obtained by Electrochemical Impedance Spectroscopy (EIS). To obtain the impedance spectra of the Li-ion battery over the life, a 18650 cylindrical cell has been aged by 1035 charge/discharge cycles. Moreover, the capacity and the parameters of the equivalent circuit of a Li-ion battery have been recorded. Then, the data are used to establish a neuro-fuzzy system to estimate the remaining useful life of the battery. The experimental results show that the developed algorithm can estimate the remaining capacity of the battery with an RMSE error of 0.841%.

Keywords

Acknowledgement

이 논문은 2018년도 지방정부(충정남도)의 재원으로 충남창조경제혁신센터의 지원을 받아 수행된 연구임. (No. 201922732221)

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