Finegan Donal P, Tudisco Erika, Scheel Mario, Robinson James B, Taiwo Oluwadamilola O, Eastwood David S, Lee Peter D, Di Michiel Marco, Bay Brian, Hall Stephen A, Hinds Gareth, Brett Dan J L, Shearing Paul R
Electrochemical Innovation Lab Department of Chemical Engineering University College London Torrington Place London WC1E 7JE UK.
Division of Solid Mechanics Lund University 221 00 Lund Sweden.
Adv Sci (Weinh). 2015 Dec 18;3(3):1500332. doi: 10.1002/advs.201500332. eCollection 2016 Mar.
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/MnO 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.
追踪锂电池运行过程中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(DVC)技术被应用于商业锂/二氧化锰一次电池放电过程中的高速原位同步加速器X射线计算机断层扫描。实时捕捉电极材料的三维位移,从而识别诸如电极与集流体分层以及电极裂纹形成等降解机制。放电过程中连续图像的连续DVC用于量化整个放电过程中的三维局部位移和应变,有助于追踪正常运行期间商业螺旋缠绕电池中电极材料因锂化而产生的膨胀过程。刚性集流体和电池材料的位移在放电过程中导致严重的电极脱离和裂纹形成,这通过单独的DVC方法进行监测。因此,延时X射线计算机断层扫描与DVC相结合被证明是一种识别商业锂电池性能损失原因的有效诊断技术;这种新方法有望指导更有效的商业电池设计的开发。