Ko, Chi JyunChi JyunKoKUO-CHING CHENSu, Ting WeiTing WeiSu2024-01-052024-01-052024-02-0103605442https://scholars.lib.ntu.edu.tw/handle/123456789/638237Compared with extensive discussions on constant current (CC) charging for lithium-ion batteries, the probe into constant voltage (CV) charging is currently insufficient. Analogous to the differential analysis of the voltage curve in CC charging, this paper introduces the differential current curve (dQ/dI curve) in CV charging and uses it as the feature to identify battery states. The differential curve is qualitatively interpreted with an equivalent circuit model, and the relationship between the dQ/dI value and the battery states is fitted with the Gaussian process regression (GPR) model. With a total of 4836 sets of CV charging data, an excellent state of health (SOH) estimation with a mean absolute error (MAE) of 0.18 % can be achieved by using the first 190 data points of the dQ/dI curve as the model input. For state of charge (SOC) estimation, a brand-new experimental work is introduced by adjusting the cutoff voltage of the previous CC charging to generate a benchmark database illustrating the relation between the SOC value at the initial CV charging and the subsequent current curve. Through GPR, the SOC prediction MAE is reduced to about 0.88 %, which confirms that the dQ/dI curve is a promising candidate for battery state estimation.Constant voltage charging | Differential current | Lithium-ion battery | State of charge | State of health[SDGs]SDG7[SDGs]SDG11journal article10.1016/j.energy.2023.1298262-s2.0-85179613698https://api.elsevier.com/content/abstract/scopus_id/85179613698