Effect of crystallite geometries on electrochemical performance of porous intercalation electrodes by multiscale operando investigation.
Yuting LuoYang BaiAashutosh N MistryYuwei ZhangDexin ZhaoSusmita SarkarJoseph V HandyShahed RezaeiAndrew Chihpin ChuangLuis CarrilloKamila WiaderekMatt PharrKelvin XiePartha P MukherjeeBai-Xiang XuSarbajit BanerjeePublished in: Nature materials (2021)
Lithium-ion batteries are yet to realize their full promise because of challenges in the design and construction of electrode architectures that allow for their entire interior volumes to be reversibly accessible for ion storage. Electrodes constructed from the same material and with the same specifications, which differ only in terms of dimensions and geometries of the constituent particles, can show surprising differences in polarization, stress accumulation and capacity fade. Here, using operando synchrotron X-ray diffraction and energy dispersive X-ray diffraction (EDXRD), we probe the mechanistic origins of the remarkable particle geometry-dependent modification of lithiation-induced phase transformations in V2O5 as a model phase-transforming cathode. A pronounced modulation of phase coexistence regimes is observed as a function of particle geometry. Specifically, a metastable phase is stabilized for nanometre-sized spherical V2O5 particles, to circumvent the formation of large misfit strains. Spatially resolved EDXRD measurements demonstrate that particle geometries strongly modify the tortuosity of the porous cathode architecture. Greater ion-transport limitations in electrode architectures comprising micrometre-sized platelets result in considerable lithiation heterogeneities across the thickness of the electrode. These insights establish particle geometry-dependent modification of metastable phase regimes and electrode tortuosity as key design principles for realizing the promise of intercalation cathodes.
Keyphrases
- carbon nanotubes
- reduced graphene oxide
- solid state
- high resolution
- escherichia coli
- gold nanoparticles
- ionic liquid
- big data
- machine learning
- high glucose
- optical coherence tomography
- magnetic resonance imaging
- oxidative stress
- drug induced
- crystal structure
- solid phase extraction
- artificial intelligence
- red blood cell
- single molecule