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http://dx.doi.org/10.7471/ikeee.2019.23.1.1

Multiple linear regression model-based voltage imbalance estimation for high-power series battery pack  

Kim, Seung-Woo (Dept. of Electrical Engineering, Chungnam National University)
Lee, Pyeong-Yeon (Dept. of Electrical Engineering, Chungnam National University)
Han, Dong-Ho (Dept. of Electrical Engineering, Chungnam National University)
Kim, Jong-hoon (Dept. of Electrical Engineering, Chungnam National University)
Publication Information
Journal of IKEEE / v.23, no.1, 2019 , pp. 1-8 More about this Journal
Abstract
In this paper, the electrical characteristics with various C-rates are tested with a high power series battery pack comprised of 18650 cylindrical nickel cobalt aluminum(NCA) lithium-ion battery. The electrical characteristics of discharge capacity test with 14S1P battery pack and electric vehicle (EV) cycle test with 4S1P battery pack are compared and analyzed by the various of C-rates. Multiple linear regression is used to estimate voltage imbalance of 14S1P and 4S1P battery packs with various C-rates based on experimental data. The estimation accuracy is evaluated by root mean square error(RMSE) to validate multiple linear regression. The result of this paper is contributed that to use for estimating the voltage imbalance of discharge capacity test with 14S1P battery pack using multiple linear regression better than to use the voltage imbalance of EV cycle with 4S1P battery pack.
Keywords
Li-ion battery; Battery pack; C-rate; Cell-to-Cell deviation; Multiple linear regression model;
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