Interface Evolution and Long-Term Performance of Negative Carbon Fiber Structural Electrodes

Laminated structural batteries present a transformative solution to reducing weight constraints in electric vehicles. These structural batteries are based on a multifunctional material that incorporates an energy storage function within a carbon fiber-reinforced polymer. Despite the potential of this technology, the intricate morphology of fiber-matrix or electrode-electrolyte interfaces and the impact of long-term cycling at low current rates (C-rates) on these interfaces remain insufficiently understood. This study addresses these critical knowledge gaps by examining the influence of matrix composition on the long-term electrochemical performance of structural battery electrodes and exploring advanced techniques to investigate carbon fiber-matrix interfaces. Localized imaging and X-ray scattering techniques were used to characterize morphological changes at the electrode-electrolyte interfaces by analyzing negative structural electrodes. The findings revealed that the matrix composition influences long-term electrochemical behavior and fiber-matrix interface formation. While the intrinsic properties of carbon fibers largely remain unaffected by long-term cycling, cycling promotes debonding at fiber-matrix interfaces. Nonetheless, residual regions of adhesion persist, underscoring the potential for preserving multifunctionality even under prolonged cycling conditions. These insights advance the understanding of interface dynamics, which is critical for optimizing structural battery technologies.

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Publication Details

Journal
ACS Omega
Published
2025-07-01
DOI
https://doi.org/10.1021/acsomega.5c01630
Citations
1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.73

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Interface Evolution and Long-Term Performance of Negative Carbon Fiber Structural Electrodes

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Interface Evolution and Long-Term Performance of Negative Carbon Fiber Structural Electrodes

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article en
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Abstract

Laminated structural batteries present a transformative solution to reducing weight constraints in electric vehicles. These structural batteries are based on a multifunctional material that incorporates an energy storage function within a carbon fiber-reinforced polymer. Despite the potential of this technology, the intricate morphology of fiber-matrix or electrode-electrolyte interfaces and the impact of long-term cycling at low current rates (C-rates) on these interfaces remain insufficiently understood. This study addresses these critical knowledge gaps by examining the influence of matrix composition on the long-term electrochemical performance of structural battery electrodes and exploring advanced techniques to investigate carbon fiber-matrix interfaces. Localized imaging and X-ray scattering techniques were used to characterize morphological changes at the electrode-electrolyte interfaces by analyzing negative structural electrodes. The findings revealed that the matrix composition influences long-term electrochemical behavior and fiber-matrix interface formation. While the intrinsic properties of carbon fibers largely remain unaffected by long-term cycling, cycling promotes debonding at fiber-matrix interfaces. Nonetheless, residual regions of adhesion persist, underscoring the potential for preserving multifunctionality even under prolonged cycling conditions. These insights advance the understanding of interface dynamics, which is critical for optimizing structural battery technologies.

ACS OmegaVol. 10(27)
Lawrence Berkeley National Laboratory (US), Deutsches Elektronen-Synchrotron DESY (DE), Innovation Cluster (Canada) (CA), Universidad Politécnica de El Salvador (SV), Advanced Light Source, University of Petroleum and Energy Studies (IN), Chalmers University of Technology (SE), KTH Royal Institute of Technology (SE)
VINNOVA, Swedish National Space Agency, Vetenskapsrådet, Energimyndigheten, European Office of Aerospace Research and Development
Openalex Percentile: Top 26%
Gas Sensing Nanomaterials and Sensors
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