Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH)

This study analyzes the lifetime characteristics and degradation behavior of lithium-ion batteries under increasing charge–discharge cycles. The experiment focused on RE (Real Part), IM (Imaginary Part), and DCIR Degradation% (Direct Current Internal Resistance Degradation). The RE increased from 0.0023 Ω at the initial state to 0.00293 Ω after 1200 cycles, representing a 28% rise, with a sharp acceleration after 400 cycles due to interfacial resistance buildup and electrolyte decomposition. The IM shifted from negative to positive values, indicating delayed electrochemical reactions and enhanced inductive behavior. A pronounced transition occurred between 400 and 800 cycles, confirming this range as a critical phase of performance degradation. Correlation analysis between SoH (State of Health) and DCIR Degradation% showed that while SoH decreased slightly from 100% to 87.3%, DCIR Degradation% increased significantly to 137.8%, indicating that internal resistance growth is the dominant cause of aging. When SoH falls below 70%, the battery reaches its effective end-of-life, accompanied by severe heat generation and power loss. In conclusion, the combined analysis of RE, IM, and DCIR Degradation% demonstrates that accumulated internal resistance is the key factor determining battery lifetime. Stabilizing the SEI layer, reinforcing electrode structures, and improving electrolyte stability are essential strategies for extending battery durability.

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Publication Details

Journal
Applied Sciences
Published
2025-12-05
DOI
https://doi.org/10.3390/app152412875
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH)

Kwonse Kim, Hongjong Lee, Junho Choi, Jun‐Hee Lee et al.
Applied Sciences
Advanced Battery Technologies Research
article

Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH)

Kwonse Kim, Hongjong Lee, Junho Choi, Jun‐Hee Lee, Byung-Hyun Lee
article en

Abstract

This study analyzes the lifetime characteristics and degradation behavior of lithium-ion batteries under increasing charge–discharge cycles. The experiment focused on RE (Real Part), IM (Imaginary Part), and DCIR Degradation% (Direct Current Internal Resistance Degradation). The RE increased from 0.0023 Ω at the initial state to 0.00293 Ω after 1200 cycles, representing a 28% rise, with a sharp acceleration after 400 cycles due to interfacial resistance buildup and electrolyte decomposition. The IM shifted from negative to positive values, indicating delayed electrochemical reactions and enhanced inductive behavior. A pronounced transition occurred between 400 and 800 cycles, confirming this range as a critical phase of performance degradation. Correlation analysis between SoH (State of Health) and DCIR Degradation% showed that while SoH decreased slightly from 100% to 87.3%, DCIR Degradation% increased significantly to 137.8%, indicating that internal resistance growth is the dominant cause of aging. When SoH falls below 70%, the battery reaches its effective end-of-life, accompanied by severe heat generation and power loss. In conclusion, the combined analysis of RE, IM, and DCIR Degradation% demonstrates that accumulated internal resistance is the key factor determining battery lifetime. Stabilizing the SEI layer, reinforcing electrode structures, and improving electrolyte stability are essential strategies for extending battery durability.

Applied SciencesVol. 15(24)
CJ CheilJedang (South Korea) (KR), Ajou Motor College (KR), Korea Automotive Technology Institute (KR)
Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology
Openalex Percentile: Top 58%
Advanced Battery Technologies Research
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