TY - JOUR
T1 - Recent Health Diagnosis Methods for Lithium-Ion Batteries
AU - Li, Yaqi
AU - Guo, Jia
AU - Pedersen, Kjeld
AU - Gurevich, Leonid
AU - Stroe, Daniel-Ioan
PY - 2022/7/15
Y1 - 2022/7/15
N2 - Lithium-ion batteries have good performance and environmentally friendly characteristics, so they have great potential. However, lithium-ion batteries will age to varying degrees during use, and the process is irreversible. There are many aging mechanisms of lithium batteries. In order to better verify the internal changes of lithium batteries when they are aging, post-mortem analysis has been greatly developed. In this article, we summarized the electrical properties analysis and post-mortem analysis of lithium batteries developed in recent years and compared the advantages of varieties of both destructive and non-destructive methods, for example, open-circuit-voltage curve-based analysis, scanning electron microscopy, transmission electron microscopy, atomic force microscopy, X-ray photoelectron spectroscopy and X-ray diffraction. On this basis, new ideas could be proposed for predicting and diagnosing the aging degree of lithium batteries, at the same time, further implementation of these technologies will support battery life control strategies and battery design.
AB - Lithium-ion batteries have good performance and environmentally friendly characteristics, so they have great potential. However, lithium-ion batteries will age to varying degrees during use, and the process is irreversible. There are many aging mechanisms of lithium batteries. In order to better verify the internal changes of lithium batteries when they are aging, post-mortem analysis has been greatly developed. In this article, we summarized the electrical properties analysis and post-mortem analysis of lithium batteries developed in recent years and compared the advantages of varieties of both destructive and non-destructive methods, for example, open-circuit-voltage curve-based analysis, scanning electron microscopy, transmission electron microscopy, atomic force microscopy, X-ray photoelectron spectroscopy and X-ray diffraction. On this basis, new ideas could be proposed for predicting and diagnosing the aging degree of lithium batteries, at the same time, further implementation of these technologies will support battery life control strategies and battery design.
KW - diagnosis methods
KW - lithium-ion batteries
KW - state-of-health
UR - http://www.scopus.com/inward/record.url?scp=85135704548&partnerID=8YFLogxK
U2 - 10.3390/batteries8070072
DO - 10.3390/batteries8070072
M3 - Journal article
SN - 2313-0105
VL - 8
JO - Batteries
JF - Batteries
IS - 7
M1 - 72
ER -