Advanced Characterization of Lithium‐Ion Battery Electrolytes Using Ultra‐high Resolution Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy

Electricity storage is one of the key elements in the transition to renewable energy sources. Nowadays, the most common technology to meet this demand is the lithium‐ion battery (LIB). The electrolytic solution composing these batteries is crucial for their good performance, as it determines the charging capacity and the lifetime through passivation processes. Among salts, additives and solvents that make up the electrolyte solution of LIBs, additional species can be present in a non‐negligible amount. Such species may originate from impurities of added substances or from chemical reactions occurring during the operation of the batteries. All these components need to be characterized and quantified precisely to ensure good performances. However, electrolytic solutions are extremely sensitive to water and need to be manipulated under inert conditions. This constraint, together with their exotic molecular composition (numerous heteroatoms), increases the difficulty of the monitoring procedure. In the present work, we combine a molecular characterization and quantification approach using ultra‐high resolution mass spectrometry and nuclear magnetic resonance to decipher a solution containing the most used electrolytes nowadays. The advantages and disadvantages of the used instruments are discussed.

Authors

Institutions

Publication Details

Journal
Batteries & Supercaps
Published
2025-03-31
DOI
https://doi.org/10.1002/batt.202500024
Citations
2
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Characterization of Lithium‐Ion Battery Electrolytes Using Ultra‐high Resolution Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy

Julien Demeaux, Julien Maillard, Olivier Serve, Carlos Afonso et al.
2 citations
Batteries & Supercaps
Extraction and Separation Processes
1.43
article

Advanced Characterization of Lithium‐Ion Battery Electrolytes Using Ultra‐high Resolution Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy

Julien Demeaux, Julien Maillard, Olivier Serve, Carlos Afonso, Pierre Giusti, Charlotte Mase, Hassan Oulyadi, Antonin Gajan, Sandra Mariette, Ludivine Afonso de Araujo
article en
2 citations

Abstract

Electricity storage is one of the key elements in the transition to renewable energy sources. Nowadays, the most common technology to meet this demand is the lithium‐ion battery (LIB). The electrolytic solution composing these batteries is crucial for their good performance, as it determines the charging capacity and the lifetime through passivation processes. Among salts, additives and solvents that make up the electrolyte solution of LIBs, additional species can be present in a non‐negligible amount. Such species may originate from impurities of added substances or from chemical reactions occurring during the operation of the batteries. All these components need to be characterized and quantified precisely to ensure good performances. However, electrolytic solutions are extremely sensitive to water and need to be manipulated under inert conditions. This constraint, together with their exotic molecular composition (numerous heteroatoms), increases the difficulty of the monitoring procedure. In the present work, we combine a molecular characterization and quantification approach using ultra‐high resolution mass spectrometry and nuclear magnetic resonance to decipher a solution containing the most used electrolytes nowadays. The advantages and disadvantages of the used instruments are discussed.

Batteries & SupercapsVol. 8(9)
Total (France) (FR), Centre National de la Recherche Scientifique (FR), RTI International (US), Normandie Université (FR), Total (Belgium) (BE), Laboratoire COBRA (FR), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR), Saft (France) (FR)
Affordable and clean energy
Openalex Percentile: Top 21%
Extraction and Separation Processes
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.