Next Article in Journal
Delivery Reliability Assessment for a Multistate Smart-Grid Network with Transmission-Loss Effect
Previous Article in Journal
Laser-Raman Analysis of Individual Fluid Inclusions and Hydrocarbon-Fluid Evolution in the Marine–Terrestrial Transitional Longtan Formation Shale, Southern Sichuan Basin
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

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

1
Electric Powertrain R&D Division, Korea Automotive Technology Institute, Pungse-ro, Pungse-myeon, Cheonan-si 31214, Republic of Korea
2
R & D Division, LAONTECH, Mojeon 1-gil, Seonggeo-eup, Cheonan-si 31041, Republic of Korea
3
Automotive Engineering Department, Ajou Motor College, Daehak-gil, Jupo-myeon, Boryeong-si 33415, Republic of Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(24), 12875; https://doi.org/10.3390/app152412875
Submission received: 13 November 2025 / Revised: 4 December 2025 / Accepted: 4 December 2025 / Published: 5 December 2025
(This article belongs to the Section Applied Industrial Technologies)

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.
Keywords: lithium-ion battery degradation; direct current internal resistance (DCIR); State of Health (SoH); internal resistance growth; cycle life prediction; SEI layer stabilization lithium-ion battery degradation; direct current internal resistance (DCIR); State of Health (SoH); internal resistance growth; cycle life prediction; SEI layer stabilization

Share and Cite

MDPI and ACS Style

Lee, H.; Lee, B.; Lee, J.; Choi, J.; Kim, K. Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH). Appl. Sci. 2025, 15, 12875. https://doi.org/10.3390/app152412875

AMA Style

Lee H, Lee B, Lee J, Choi J, Kim K. Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH). Applied Sciences. 2025; 15(24):12875. https://doi.org/10.3390/app152412875

Chicago/Turabian Style

Lee, Hongjong, Byunghyun Lee, Junhee Lee, Junho Choi, and Kwonse Kim. 2025. "Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH)" Applied Sciences 15, no. 24: 12875. https://doi.org/10.3390/app152412875

APA Style

Lee, H., Lee, B., Lee, J., Choi, J., & Kim, K. (2025). Lifetime Prediction of Lithium-Ion Batteries Based on the Correlation Between Internal Resistance Growth and State of Health (SoH). Applied Sciences, 15(24), 12875. https://doi.org/10.3390/app152412875

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop