등가회로 파라미터를 이용한 배터리 잔존 수명 평가용 뉴로 퍼지 시스템Neuro Fuzzy System for the Estimation of the Remaining Useful Life of the Battery Using Equivalent Circuit Parameters
- Other Titles
- Neuro Fuzzy System for the Estimation of the Remaining Useful Life of the Battery Using Equivalent Circuit Parameters
- Authors
- 이승준; 고영휘; 리키첼라 칸달라 프라듐나; 최우진
- Issue Date
- Jun-2021
- Publisher
- 전력전자학회
- Keywords
- Lihitum-ion battery; RUL; EIS; Equivalent circuit parameters; Neuro fuzzy system
- Citation
- 전력전자학회 논문지, v.26, no.3, pp.167 - 175
- Journal Title
- 전력전자학회 논문지
- Volume
- 26
- Number
- 3
- Start Page
- 167
- End Page
- 175
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/40979
- ISSN
- 1229-2214
- 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%.
- Files in This Item
-
Go to Link
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.