An estimation model of the state of health of lithium-ion batteries based on the voltage data in the constant current charging stage[J]. Chinese Journal of Engineering. DOI: 10.13374/j.issn2095-9389.2025.09.15.001
Citation: An estimation model of the state of health of lithium-ion batteries based on the voltage data in the constant current charging stage[J]. Chinese Journal of Engineering. DOI: 10.13374/j.issn2095-9389.2025.09.15.001

An estimation model of the state of health of lithium-ion batteries based on the voltage data in the constant current charging stage

  • This paper addresses the application requirements for Lithium Iron Phosphate (LiFePO?) batteries State of Health (SOH) estimation algorithms in energy storage systems, which demand both high accuracy and model simplicity. A Local Voltage Fitting (LVF) model is proposed and validated. First, combining a second-order equivalent circuit model, the basic mathematical expression for SOH estimation is derived based on the relationship between terminal voltage and charging time during the constant-current charging phase of the battery; To enhance the model's applicability for fitting lithium iron phosphate batteries, this study selected segmented voltage data within the State of Charge (SOC) range 0.30, 0.90 from the constant-current charging curves of each cycle, excluding the difficult-to-fit regions at the ends of the curves, thereby establishing the local fitting framework for the LVF model.
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