Scientists at the GIST Propose a Non-invasive Approach to Estimating Lithium-ion Battery Degradation
Scientists develop an alternative diagnostic technology to evaluate the degradation mechanism of Li-ion batteries quickly
The emergence of electric vehicles has created a spike in the usage of lithium-ion batteries. Consequently, there is a need for diagnosing battery health reliably to prevent accidents from unexpected operational issues. To this end, scientists from the Gwangju Institute of Science and Technology in South Korea have now developed a rapid non-destructive analysis technique using cycling at high and low C-rates (the current during charging and discharging) for accurate detection of battery degradation modes.
Lithium-ion batteries lie at the heart of all modern electronics and are now being increasingly implemented in electric vehicles. As a result, there has been a rapid increase in its usage, and, with it, a growing demand for tools to test the “state of health” (SOH) of these batteries reliably. This is particularly important in light of the fact that understanding degradation symptoms in batteries is vital for improved maintenance and accident prevention due to malfunctions.
Li-ion batteries degrade via three different modes: loss of active materials (LAM), conductivity loss (CL), and loss of lithium inventory (LLI). Over the last few years, scientists have developed several techniques to non-invasively analyze these modes. The most widely used among them is the incremental capacity-differential voltage (IC-DV) analysis because of its good correlation with the degradation modes. However, IC-DV analysis is extremely time-consuming and cannot deduce the complex mechanisms associated with battery deterioration.
In a recent study led by Prof. Jaeyoung Lee from the Gwangju Institute of Science and Technology (GIST), researchers have now designed an alternative approach to the cumbersome IC-DV technique and have characterized the degradation modes by cycling graphite/LiNi0.5Mn0.3Co0.2O2 (NMC532) pouch cells with two different capacities at low and high C-rates (charging and discharging rate of a battery). Detailing the motivation behind this study, Prof. Lee says, “While many studies have been conducted to investigate the degradation symptoms of fatigued lithium-ion batteries with charge and discharge cycling data, the technology for rapid diagnosis is still not sufficiently developed. We believe that a rapid degradation diagnosis technology using high C-rate could enable real-time detection of the degradation modes and its utilization for monitoring the state of health of individual cells efficiently.” This paper was made available online on 17 November 2021 and will be published in Volume 67 of the Journal of Energy Chemistry in April 2022.
The team first collected low C-rate data every 100 cycles of high C-rate analysis, and then converted the data into IC-DV curves using differential equations to evaluate the LAM and LLI modes of battery degradation. The former was calculated as a sum of the IC peak intensities due to its non-linear relation with C-rates, while the latter was estimated by extrapolation owing to its good linearity with C-rates. This, in turn, allowed for a rapid detection of LLI degradation.
The perspectives provided in this study can facilitate a rapid and detailed analysis of SOH, which could prove advantageous in the assessment of onboard battery systems. “The aim of our study was to help establish a facile diagnostic protocol for lithium-ion battery maintenance. Our proposed mechanism not only makes the process cost-effective but also eco-friendly by providing a faster and reliable selection process for battery reuse,” concludes Prof. Lee.
Authors: Gyuwon Seo (a,1), Jaeyun Ha (b,1), Moonsu Kim (b), Jihyeon Park (a), Jaewon Lee (b), Eunoak Park (b), Sungyool Bong (a,c), Kiyoung Lee (b), Soon Jong Kwon (d), Seung-pil Moon (d), Jinsub Choi (b), Jaeyoung Lee (a,c,e)
Title of original paper: Rapid determination of lithium-ion battery degradation: High C-rate LAM and calculated limiting LLI
Journal: Journal of Energy Chemistry
a) Electrochemical Reaction and Technology Laboratory, School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST)
b) Department of Chemistry and Chemical Engineering, Inha University
c) Ertl Center for Electrochemistry and Catalysis, GIST
d) Korea Electric Power Corporation Research Institute
e) International Future Research Center of Chemical Energy Storage and Conversion Processes (ifRC-CHESS), GIST
About the Gwangju Institute of Science and Technology (GIST)
The Gwangju Institute of Science and Technology (GIST) was founded in 1993 by the Korean government as a research-oriented graduate school to help ensure Korea’s continued economic growth and prosperity by developing advanced science and technology with an emphasis on collaboration with the international community. Since that time, GIST has pioneered a highly regarded undergraduate science curriculum in 2010 that has become a model for other science universities in Korea. To learn more about GIST and its exciting opportunities for researchers and students alike, please visit: http://www.gist.ac.kr/
About the authors
Gyuwon Seo is currently a researcher at GIST in South Korea and is researching lithium-sulfur batteries.
Jaeyun Ha is currently a Ph. D. student at Inha University in South Korea and is researching lithium-metal batteries.
Prof. Jinsub Choi is a full professor at Inha University. He obtained his doctoral degree at MPI Halle (2004). His research areas include electrochemical characterization of Li-ion batteries and water splitting reactions.
Jaeyoung Lee is a prominent professor at GIST. He obtained his doctoral degree in 2001 under Prof. Ertl at the FHI der MPG. His current research interests include fuel cells, electrolytic processes, and Li batteries.