@inproceedings{e1b127ad28e244fdb8ed4a4e591b05fc,
title = "Real-time OCV and Capacity Estimation Algorithm for Reusable Lithium-ion Battery without Pre-experiment",
abstract = "This paper proposes real-time open circuit voltage (OCV) and capacity estimation algorithm without the initial state of the battery. The proposed algorithm estimates components of the equivalent circuit model (ECM) through the sum of square regression and obtains real-time OCV curve using the ECM voltage relationship and Coulomb counting method. The feasibility of the proposed algorithm has been demonstrated by simulation based on a lithium nickel manganese cobalt battery. Verification results show high accuracy of the OCV curve as the cycle repetition even though internal parameters of the battery are not provided.",
keywords = "Lithium-ion battery, open circuit voltage, reusable battery, state of charge",
author = "Lim, \{Jong Hun\} and Lim, \{Je Yeong\} and Lee, \{Hyeon Ho\} and Han, \{Eui Seong\} and Kim, \{Dong Hwan\} and \{Kuk Lee\}, Byoung",
note = "Publisher Copyright: {\textcopyright} 2023 The Korean Institute of Power Electronics.; 11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia ; Conference date: 22-05-2023 Through 25-05-2023",
year = "2023",
doi = "10.23919/ICPE2023-ECCEAsia54778.2023.10213593",
language = "English",
series = "ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1579--1584",
booktitle = "ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia",
}
