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http://dx.doi.org/10.7471/ikeee.2020.24.4.1098

State of Health estimation based on Secondary Li-ion battery Electrochemical Modeling and Electrical experiment  

Kim, Su-An (Dept. of Electrical Engineering, Chungnam National University)
Park, Seong-Yun (Dept. of Electrical Engineering, Chungnam National University)
Kim, Jong-hoon (Dept. of Electrical Engineering, Chungnam National University)
Publication Information
Journal of IKEEE / v.24, no.4, 2020 , pp. 1098-1103 More about this Journal
Abstract
This paper deals with a method for estimating the battery state-of-health(SOH) through electrical experiments and electrochemical modeling of lithium-ion secondary battery. In order to confirm the actual battery SOH through the battery electrical aging experiment, the current integration method was used. The SOH is estimated using the internal resistance value derived from the electrical experiment. Also, in electrochemical modeling, the SOH is estimated through the change of the SEI layer with the increase of the number of cycles. The new SOH is derived by applying weighting factor to the three methods of estimating SOH, including the actual battery SOH.
Keywords
State of health estimation; lithium ion battery; Electrochemical modeling; Internal resistance; Electrochemical modeling;
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  • Reference
1 Agency, "I. E. World Energy Outlook 2012. Paris," International energy agency.
2 A. Zenati et al., "A Methodology to Assess the State Of Health of Lithium-ion Batteries Based on the Battery's Parameters and a Fuzzy Logic System." IECON 2010, 2010.
3 Bak, T., & Lee, S. "Accurate Estimation of Battery SOH and RUL Based on a Progressive LSTM with a Time Compensated Entropy Index," Annual Conference of the PHM Society, Vol.11, No.1. 2019. DOI: 10.36001/phmconf.2019.v11i1.833   DOI