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The grain sizes of solid electrolyte interphase (SEI) and solvation structure of electrolytes can affect Li ion transport across SEI and control the desolvation kinetics of solvated Li ions during fast-charging of Li-ion batteries (LIBs). However, the impact of the geometric structure of SEI grains on the fast charging capability of LIBs is rarely examined. Here, the correlation between the SEI grain size and fast charging characteristics of cells is explored, and the desolvation kinetics is controlled by replacing the strongly binding ethylene carbonate (EC) solvent with a weakly binding nitrile-based solvent under fast charging conditions. The evolution of small grains of SEI to provide sufficient paths for Li ion supply can be achieved by the modification of solvation structure in the electrolyte. Additionally, the less resistive SEI composition and low viscosity of isoBN-containing electrolyte enable a more rapid charging of LiNiCoMnO/graphite full cells by facilitating the SEI crossing of Li ions with less Li plating at a charging rate of 4 C at 25 °C. This work sheds light on solvation structure and interface engineering to enhance the fast charging cycle stability of LIBs for tailorable adoption in transportation sectors.
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http://dx.doi.org/10.1002/adma.202418773 | DOI Listing |
Nanoscale Horiz
September 2025
Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, USA.
Nanostructuring, which shortens lithium-ion diffusion lengths, can help facilitate pseudocapacitive behavior in some battery materials. Here, nanostructured LiNiCoAlO (NCA), with porosity and decreased crystallite size compared to commercial bulk NCA, was synthesized using a colloidal polymer template. Small particles (∼150 nm) were obtained using rapid thermal annealing (RTA), while medium particles (∼300 nm) were obtained with conventional heating.
View Article and Find Full Text PDFSci Rep
September 2025
Fukushima Renewable Energy Institute, Koriyama, Japan.
Ultra-fast charging stations (UFCS) present a significant challenge due to their high power demand and reliance on grid electricity. This paper proposes an optimization framework that integrates deep learning-based solar forecasting with a Genetic Algorithm (GA) for optimal sizing of photovoltaic (PV) and battery energy storage systems (BESS). A Gated Recurrent Unit (GRU) model is employed to forecast PV output, while the GA maximizes the Net Present Value (NPV) by selecting optimal PV and BESS sizes tailored to weekday and weekend demand profiles.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Soft Matter Sciences and Engineering, CNRS, École supérieure de Physique et de Chimie Industrielles de la Ville de Paris, Université Paris Sciences et Lettres, Sorbonne Université, Paris 75005, France.
The sliding motion of aqueous droplets on hydrophobic surfaces leads to charge separation at the trailing edge, with implications from triple-line friction to hydrovoltaic energy generation. Charges deposited on the solid surface have been attributed to ions or electrons ripped off from the liquid drop. However, the dynamics and exact physicochemical nature of these surface-trapped charges remains poorly explored.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
School of Integrated Circuits, State Key Laboratory of New Textile Materials and Advanced Processing, Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education), Huazhong University of Science and Technology, Wuhan, 430074, China.
Low-temperature rechargeable batteries face great challenges due to the sluggish reaction kinetics. Redox covalent organic frameworks (COFs) with porous structures provide a viable solution to accelerate the ionic diffusion and reaction kinetics at low temperatures. However, the applications of COFs in low-temperature batteries are still at their infancy stage.
View Article and Find Full Text PDFACS Nano
September 2025
State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Traditional electrochemical redox assessments offer insights into material properties for charge storage and catalytic kinetics but often fail to link these to specific surfaces, obscuring the structure-performance relationship. Here, we reveal the facet-dependent electrochemical redox behaviors and their connection to oxygen evolution reaction (OER) catalysis using Co(OH) nanosheets and nanorods as models. By correlating redox charge storage capacity and kinetics with distinct exposed surfaces, we uncover diffusion-controlled redox processes on the basal surface and non-diffusion-controlled behavior on the lateral surface and further utilize the distinct redox charging kinetics to differentiate the two.
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