<i>Operando</i> spatiotemporal super-resolution of thermal events monitoring in lithium metal batteries

Safety challenges in high-capacity lithium metal batteries primarily arise from thermal runaway, leading to smoke emissions, fires or explosions. Real-time monitoring of internal temperature distribution is necessary to ensure safe operation and enhance cell performance. However, current methods lack dimensionality, precision, and timeliness, hindering the detection of uneven lithium deposition and localized temperature variations that drive capacity fade and safety risks. Here, we develop an <i>operando</i> spatiotemporal super-resolution thermal monitoring system capable of real-time, super-resolution temperature mapping across the lithium anode with a record-high spatial resolution of 1820 points cm<sup>-</sup>², and a temporal resolution of 1 frame per 3 seconds. Utilizing optical frequency-domain reflectometry, an Archimedean spiral fiber configuration, and super-resolution algorithms, we capture critical thermal variations and identify hotspots during cycling. To improve thermal uniformity and reduce safety risks, we apply protective strategies, including pyramid patterning, copper mesh and polylactic acid. Cells with these measures, as monitored by our system, show reduced average temperatures, delayed capacity degradation and fewer hotspots. This innovative monitoring approach not only integrates cutting-edge optical technology with energy storage diagnostics but also establishes a robust framework for assessing thermal management strategies, thus significantly advancing the safety and energy density of lithium metal batteries for sustainable energy applications.

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Institutions

Publication Details

Journal
National Science Review
Published
2025-03-06
DOI
https://doi.org/10.1093/nsr/nwaf088
Citations
6
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
4.10

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article

Operando spatiotemporal super-resolution of thermal events monitoring in lithium metal batteries

Ruohui Wang, Feng Tao, Zecong Liu, Yuting Zhou et al.
6 citations
National Science Review
Advanced Battery Technologies Research
4.10
article

Operando spatiotemporal super-resolution of thermal events monitoring in lithium metal batteries

Ruohui Wang, Feng Tao, Zecong Liu, Yuting Zhou, Guangmin Zhou, Zhoujie Lao, Xun Guan, Chengshuai Chang, Chonghao Zhang, Xiao Xiao
article en
6 citations

Abstract

Safety challenges in high-capacity lithium metal batteries primarily arise from thermal runaway, leading to smoke emissions, fires or explosions. Real-time monitoring of internal temperature distribution is necessary to ensure safe operation and enhance cell performance. However, current methods lack dimensionality, precision, and timeliness, hindering the detection of uneven lithium deposition and localized temperature variations that drive capacity fade and safety risks. Here, we develop an <i>operando</i> spatiotemporal super-resolution thermal monitoring system capable of real-time, super-resolution temperature mapping across the lithium anode with a record-high spatial resolution of 1820 points cm<sup>-</sup>², and a temporal resolution of 1 frame per 3 seconds. Utilizing optical frequency-domain reflectometry, an Archimedean spiral fiber configuration, and super-resolution algorithms, we capture critical thermal variations and identify hotspots during cycling. To improve thermal uniformity and reduce safety risks, we apply protective strategies, including pyramid patterning, copper mesh and polylactic acid. Cells with these measures, as monitored by our system, show reduced average temperatures, delayed capacity degradation and fewer hotspots. This innovative monitoring approach not only integrates cutting-edge optical technology with energy storage diagnostics but also establishes a robust framework for assessing thermal management strategies, thus significantly advancing the safety and energy density of lithium metal batteries for sustainable energy applications.

National Science ReviewVol. 12(5)
Shenzhen University (CN), Northwest University (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Division of Materials Science and Engineering (AU), Tsinghua University (CN)
National Natural Science Foundation of China, Science, Technology and Innovation Commission of Shenzhen Municipality, Guangdong Province Introduction of Innovative R&D Team, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Advanced Battery Technologies Research
4.10
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