journal article·2025-11-25Open access

Formation Accelerated Side-Reactions Test: A Technique to Study Anode Passivation during Lithium-Ion Cell Formation

Roby Gauthier, Hongyi Lin, Haotian Chen, Venkatasubramanian Viswanathan, Jay F. Whitacre

Chemistry of Materials· Volume 37· Issue 22

Abstract

High Resolution Image Download MS PowerPoint Slide This study investigates the formation and properties of the solid electrolyte interface (SEI) in lithium-ion batteries under varying salt concentrations (0.4, 0.8, 1.2M) and varying formation temperatures of 20, 30, and 40 °C. This method, focusing on the lowest temperature and salt concentration, was used as a formation accelerated side-reactions test (FAST) to evaluate the impact of different solvent blends and additives on anode passivation using the reduction rate of linear carbonates or nitriles seen in the differential capacity as a SEI performance metric. Electrolytes containing a mixture of vinylene carbonate and ethylene sulfate showed superior passivation, while a 3:7 mixture of fluoroethylene carbonate and ethyl methyl carbonate proved to be the most effective at passivating. Furthermore, the low-viscosity solvent methyl acetate significantly decreased EMC reduction at the anode during formation, resulting in a smaller irreversible increase in the thickness of the anode, perhaps due to a decrease in solvent cointercalation into graphite. Since our differential capacity method can be used to test SEI passivation, the passivation metric is also likely to correlate with long-term cycling performance. These results provide valuable insights into the efficient design of a formation accelerated side-reaction test (FAST) that could accelerate the discovery of high-performance electrolytes through rapid monitoring of SEI passivation during formation.
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Research context

OpenAlex topics: Advanced Battery Technologies Research · Silicon and Solar Cell Technologies · Advancements in Battery Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering

Carnegie Mellon University

University of Michigan

Michigan Institute for Data and AI in Society

Department of Aerospace Engineering

Department of Materials Science and Engineering

Funding

Toyota Research Institute

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