ArticleAngewandte Chemie (International ed. in English)2024
Probing Degradation in Lithium Ion Batteries with On-Chip Electrochemistry Mass Spectrometry.
Article in Angewandte Chemie (International ed. in English), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Application of multi-modal temporal neural network based on enhanced sparrow optimization in lithium battery life prediction.Scientific reports · 2024Article
- Probing Degradation in Lithium Ion Batteries with On-Chip Electrochemistry Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
The rapid uptake of lithium ion batteries (LIBs) for large scale electric vehicle and energy storage applications requires a deeper understanding of the degradation mechanisms. Capacity fade is due to the complex interplay between phase transitions, electrolyte decomposition and transition metal dissolution; many of these poorly understood parasitic reactions evolve gases as a side product. Here we present an on-chip electrochemistry mass spectrometry method that enables ultra-sensitive, fully quantified and time resolved detection of volatile species evolving from an operating LIB. The technique's electrochemical performance and mass transport is described by a finite element model and then experimentally used to demonstrate the variety of new insights into LIB performance. We show the versatility of the technique, including (a) observation of oxygen evolving from a LiNiMnCoO
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