A model for state-of-health estimation of lithium ion batteries based on charging profiles

• Published in: Energy (Oxford) Vol. 177; pp. 57 - 65
• Main Authors: Bian, Xiaolei, Liu, Longcheng, Yan, Jinying
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.06.2019; Elsevier BV
• Subjects: Aging; Charging; Circuits; data collection; Dependence; electric potential difference; Equivalent circuit model; Equivalent circuits; Health; Incremental capacity analysis; Learning; Lithium; lithium batteries; Lithium ion battery; Lithium-ion batteries; Open circuit voltage; Organic chemistry; Product design; Rechargeable batteries; State of health; temperature; Variation; Incremental capacity analysis; Lithium ion battery; Equivalent circuit model; State of health
• ISSN: 0360-5442; 1873-6785; 1873-6785
• DOI: 10.1016/j.energy.2019.04.070

Using an equivalent circuit model to characterize the constant-current part of a charging/discharging profile, a model is developed to estimate the state-of-health of lithium ion batteries. The model is an incremental capacity analysis-based model, which applies a capacity model to define the dependence of the state of charge on the open circuit voltage as the battery ages. It can be learning-free, with the parameters subject to certain constraints, and is able to give efficient and reliable estimates of the state-of-health for various lithium ion batteries at any aging status. When applied to a fresh LiFePO4 cell, the state-of-health estimated by this model (learning-unrequired or learning-required) shows a close correspondence to the available measured data, with an absolute difference of 0.31% or 0.12% at most, even for significant temperature fluctuation. In addition, NASA battery datasets are employed to demonstrate the versatility and applicability of the model to different chemistries and cell designs. •An ICA-based model is proposed to estimate SOH of LIBs.•The ICA-based model can be learning-required or learning-unrequired.•This model can give reliable estimates of SOH for various LIBs at any aging status.•The accuracy of the model is validated by experimental results of LFP and NCA batteries.