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http://dx.doi.org/10.9713/kcer.2021.59.3.393

Modeling to Estimate the Cycle Life of a Lithium-ion Battery  

Lee, Jaewoo (Division of Energy System, Ajou University)
Lee, Dongcheul (Division of Energy System, Ajou University)
Shin, Chee Burm (Division of Energy System, Ajou University)
Lee, So-Yeon (Gwangju Bioenergy R&D Center, Korea Institute of Energy Research)
Oh, Seung-Mi (Gwangju Bioenergy R&D Center, Korea Institute of Energy Research)
Woo, Jung-Je (Gwangju Bioenergy R&D Center, Korea Institute of Energy Research)
Jang, Il-Chan (Gwangju Bioenergy R&D Center, Korea Institute of Energy Research)
Publication Information
Korean Chemical Engineering Research / v.59, no.3, 2021 , pp. 393-398 More about this Journal
Abstract
In order to optimize the performance of a lithium-ion battery, a performance prediction modeling technique that considers various degradation factors is required. In this work, mathematical modeling was carried-out to predict the change in discharging behavior and cycle life, taking into account the cycle aging of lithium-ion batteries. In order to validate the modeling, a cycling test was performed at the charge/discharge rate of 0.25C, and discharging behavior was measured through RPT (Reference Performance Test) performed at 30 cycle intervals. The accuracy of cycle life prediction was improved by considering the break-in mechanism, one of the phenomena occurring in the BOL (beginning of life), in the model for predicting the cycle life of lithium-ion batteries. The predicted change in cycle life based on the model was in good agreement with the experimental results.
Keywords
Lithium-ion battery; Modeling; Cycle life; Battery aging; Capacity fade;
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