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Quantifying Bulk Electrode Strain and Material Displacement within Lithium Batteries via High‐Speed Operando Tomography and Digital Volume Correlation

机译:通过高速Operando层析成像和数字体积关联对锂电池中的大块电极应变和材料位移进行量化

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摘要

Tracking the dynamic morphology of active materials during operation of lithium batteries is essential for identifying causes of performance loss. Digital volume correlation (DVC) is applied to high‐speed operando synchrotron X‐ray computed tomography of a commercial Li/MnO2 primary battery during discharge. Real‐time electrode material displacement is captured in 3D allowing degradation mechanisms such as delamination of the electrode from the current collector and electrode crack formation to be identified. Continuum DVC of consecutive images during discharge is used to quantify local displacements and strains in 3D throughout discharge, facilitating tracking of the progression of swelling due to lithiation within the electrode material in a commercial, spiral‐wound battery during normal operation. Displacement of the rigid current collector and cell materials contribute to severe electrode detachment and crack formation during discharge, which is monitored by a separate DVC approach. Use of time‐lapse X‐ray computed tomography coupled with DVC is thus demonstrated as an effective diagnostic technique to identify causes of performance loss within commercial lithium batteries; this novel approach is expected to guide the development of more effective commercial cell designs.
机译:跟踪锂电池运行期间活性材料的动态形态对于确定性能损失的原因至关重要。数字体积相关性(DVC)适用于商用Li / MnO2一次电池放电期间的高速操作同步加速器X射线计算机断层扫描。实时电极材料位移以3D形式捕获,从而可以识别出降解机制,例如电极从集电器上的分层以及电极裂纹的形成。放电过程中连续图像的连续DVC用于量化整个放电过程中3D的局部位移和应变,从而有助于跟踪在正常操作过程中商用螺旋缠绕电池中由于电极材料内的锂化而引起的膨胀过程。刚性集电器和电池材料的位移会导致放电过程中严重的电极脱离和裂纹形成,这通过单独的DVC方法进行监控。因此,时移X射线计算机断层扫描结合DVC的使用已被证明是一种有效的诊断技术,可以识别商用锂电池性能下降的原因。这种新颖的方法有望指导更有效的商业电池设计的发展。

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