Quantifying Reaction and Rate Heterogeneity in Battery Electrodes in 3D through Operando X-ray Diffraction Computed Tomography
Abstract
In composite battery electrode architectures, local limitations in ionic and electronic transport can result in nonuniform energy storage reactions. Understanding such reaction heterogeneity is important to optimizing battery performance, including rate capability and mitigating degradation and failure. Here, we use spatially resolved X-ray diffraction computed tomography to map the reaction in a composite electrode based on the LiFePO4 active material as it undergoes charge and discharge. Accelerated reactions at the electrode faces in contact with either the separator or the current collector demonstrate that both ionic and electronic transport limit the reaction progress. The data quantify how nonuniformity of the electrode reaction leads to variability in the charge/discharge rate, both as a function of time and position within the electrode architecture. Importantly, this local variation in the reaction rate means that the maximum rate that individual cathode particles experience can be substantially higher than the average, control charge/discharge rate, by a factor of at least 2–5 times. This rate heterogeneity may accelerate rate-dependent degradation pathways in regions of the composite electrode experiencing faster-than-average reaction and has important implications for understanding and optimizing rate-dependent battery performance. Benchmarking multiscale continuum model parameters against the observed reaction heterogeneity permits extension of these modelsmore »
- Authors:
-
- Argonne National Lab. (ANL), Argonne, IL (United States); Binghamton Univ., Binghamton, NY (United States)
- Univ. of Michigan, Ann Arbor, MI (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- ESRF—The European Synchrotron, Grenoble (France)
- Argonne National Lab. (ANL), Argonne, IL (United States); Stony Brook Univ., Stony Brook, NY (United States)
- Stony Brook Univ., Stony Brook, NY (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Northeastern Center for Chemical Energy Storage (NECCES); Argonne National Lab. (ANL), Argonne, IL (United States); Binghamton Univ., NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1532531
- Alternate Identifier(s):
- OSTI ID: 1597020
- Grant/Contract Number:
- AC02-06CH11357; SC0012583
- Resource Type:
- Accepted Manuscript
- Journal Name:
- ACS Applied Materials and Interfaces
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 20; Journal ID: ISSN 1944-8244
- Publisher:
- American Chemical Society (ACS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; Li-ion batteries; LiFePO4; X-ray diffraction computed tomography; operando; reaction heterogeneity; thick electrode
Citation Formats
Liu, Hao, Kazemiabnavi, Saeed, Grenier, Antonin, Vaughan, Gavin, Di Michiel, Marco, Polzin, Bryant J., Thornton, Katsuyo, Chapman, Karena W., and Chupas, Peter J. Quantifying Reaction and Rate Heterogeneity in Battery Electrodes in 3D through Operando X-ray Diffraction Computed Tomography. United States: N. p., 2019.
Web. doi:10.1021/acsami.9b02173.
Liu, Hao, Kazemiabnavi, Saeed, Grenier, Antonin, Vaughan, Gavin, Di Michiel, Marco, Polzin, Bryant J., Thornton, Katsuyo, Chapman, Karena W., & Chupas, Peter J. Quantifying Reaction and Rate Heterogeneity in Battery Electrodes in 3D through Operando X-ray Diffraction Computed Tomography. United States. https://doi.org/10.1021/acsami.9b02173
Liu, Hao, Kazemiabnavi, Saeed, Grenier, Antonin, Vaughan, Gavin, Di Michiel, Marco, Polzin, Bryant J., Thornton, Katsuyo, Chapman, Karena W., and Chupas, Peter J. Thu .
"Quantifying Reaction and Rate Heterogeneity in Battery Electrodes in 3D through Operando X-ray Diffraction Computed Tomography". United States. https://doi.org/10.1021/acsami.9b02173. https://www.osti.gov/servlets/purl/1532531.
@article{osti_1532531,
title = {Quantifying Reaction and Rate Heterogeneity in Battery Electrodes in 3D through Operando X-ray Diffraction Computed Tomography},
author = {Liu, Hao and Kazemiabnavi, Saeed and Grenier, Antonin and Vaughan, Gavin and Di Michiel, Marco and Polzin, Bryant J. and Thornton, Katsuyo and Chapman, Karena W. and Chupas, Peter J.},
abstractNote = {In composite battery electrode architectures, local limitations in ionic and electronic transport can result in nonuniform energy storage reactions. Understanding such reaction heterogeneity is important to optimizing battery performance, including rate capability and mitigating degradation and failure. Here, we use spatially resolved X-ray diffraction computed tomography to map the reaction in a composite electrode based on the LiFePO4 active material as it undergoes charge and discharge. Accelerated reactions at the electrode faces in contact with either the separator or the current collector demonstrate that both ionic and electronic transport limit the reaction progress. The data quantify how nonuniformity of the electrode reaction leads to variability in the charge/discharge rate, both as a function of time and position within the electrode architecture. Importantly, this local variation in the reaction rate means that the maximum rate that individual cathode particles experience can be substantially higher than the average, control charge/discharge rate, by a factor of at least 2–5 times. This rate heterogeneity may accelerate rate-dependent degradation pathways in regions of the composite electrode experiencing faster-than-average reaction and has important implications for understanding and optimizing rate-dependent battery performance. Benchmarking multiscale continuum model parameters against the observed reaction heterogeneity permits extension of these models to other electrode geometries.},
doi = {10.1021/acsami.9b02173},
journal = {ACS Applied Materials and Interfaces},
number = 20,
volume = 11,
place = {United States},
year = {Thu Apr 25 00:00:00 EDT 2019},
month = {Thu Apr 25 00:00:00 EDT 2019}
}
Web of Science
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