A Miss Is as Good as a Mile: Prediction of Additive Effectiveness in Sodium-Ion Batteries Based on Electrostatic Potential
Source abstract
Abstract
Electrolyte additives are essential for sodium-ion batteries (SIBs), yet their design based on lithium-ion battery (LIB) principles has limitations. Notably, certain hallmark additives in LIBs, despite their proven effectiveness, fail in SIBs due to unclear mechanisms. This study reveals the critical role of reduced-state structures and electrostatic potential (ESP) distributions in predicting additive behavior. Using vinylene carbonate as a model, we demonstrate that even minor ESP variations can lead to divergent reduction pathways, forming detrimental sodium ethene glycol-like product (NED) in SIBs versus beneficial polycarbonate (LVDC) in LIBs. Furthermore, we establish that ESP similarities can effectively predict additive performance, explaining why fluorinated ethylene carbonate and trans-difluoroethylene carbonate exhibit distinct behaviors in SIBs. Beyond enabling rapid screening of LIB additives for SIB applications, our findings highlight how subtle differences in electrolyte microstructure can profoundly impact interphasial chemistry, underscoring the need for deeper investigations into electrolyte design.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Advanced Battery Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National and Local Joint Engineering Research Center of MPTES in High Energy and Safety LIBs, Engineering Research Center of MTEES (Ministry of Education), Research Center of BMET (Guangdong Province), and Key Lab. of ETESPG(GHEI)
South China Normal University
Department of Materials Science and Engineering, The University of Utah, 122 South Central Campus Drive, Salt Lake City, Utah 84112, United States
Funding
China Postdoctoral Science Foundation · National Natural Science Foundation of China
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