Research on ICA-Based Method for Determining SOH Estimation Curve of Lithium Battery
Aiming at the problem of how to extract more effective characteristic parameters from the capacity increment(IC)curve for state of health(SOH)estimation of lithium batteries,a modified Lorentz voltage-capacity(RL-VC)based model is proposed.The capacity increment analysis(ICA)of lithium batteries is first performed using the traditional filtering method.Then the RL-VC model is used for comparison to obtain the corresponding feature parameters and calculate the capacity modeling error.The experimental data obtained based on the self-constructed experimental platform and the dynamic dataset NCM from the open-source dataset NASA are carried out separately.The errors of VC capacity modeling are within 0.23％and 0.16％,respectively.The feature parameters extracted from the IC curves fitted by the RL-VC model are highly linearly correlated with the capacity of Li-ion batteries,which lays the foundation for the subsequent SOH work.The IC analysis method based on the RL-VC model proposed in this paper not only has higher robustness in battery aging compared with the traditional filtering method,but also avoids subjectivity and uncertainty in feature parameter extraction.
lithium batteryestimates of state of healthIC curvecapacity increment analysis
国家科技期刊平台
NSTL
万方数据
维普
