Degradation and State of Health Estimation of Lithium-Ion Batteries Under Different Cycling Conditions

The characteristics of lithium-ion battery degradation under various cycling circumstances are studied in this paper. Fourteen groups of PL series batteries were used.the charging/discharging parameters and temperature were modified to examine how state of charge (SOC) cycling affects battery state of health (SOH). A SOC - V curve model based on a first-order equivalent circuit was established, and the influence of the model order on the fitting accuracy was analyzed. By using the charging and discharging IC/DV curves to estimate the battery, the characteristic points were extracted and their changes were examined, together with evaluating the applicability of both physical and web-based techniques.

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Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11041569
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Degradation and State of Health Estimation of Lithium-Ion Batteries Under Different Cycling Conditions

Hui Qian, Yanxiang Yang, Tao Fan, Shaoxin Shen
Advanced Battery Technologies Research
article

Degradation and State of Health Estimation of Lithium-Ion Batteries Under Different Cycling Conditions

Hui Qian, Yanxiang Yang, Tao Fan, Shaoxin Shen
article en

Abstract

The characteristics of lithium-ion battery degradation under various cycling circumstances are studied in this paper. Fourteen groups of PL series batteries were used.the charging/discharging parameters and temperature were modified to examine how state of charge (SOC) cycling affects battery state of health (SOH). A SOC - V curve model based on a first-order equivalent circuit was established, and the influence of the model order on the fitting accuracy was analyzed. By using the charging and discharging IC/DV curves to estimate the battery, the characteristic points were extracted and their changes were examined, together with evaluating the applicability of both physical and web-based techniques.

Nantong University (CN)
Openalex Percentile: Top 85%
Advanced Battery Technologies Research
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