Olgo Annabel, Genies Sylvie, Franchi Romain, Septet Cédric, Jacquet Quentin, Berrod Quentin, Palm Rasmus, Chenevier Pascale, Villemin Elise, Villevieille Claire, Blanc Nils, Tardif Samuel, Raccurt Olivier, Lyonnard Sandrine
Univ. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, Grenoble, France.
Univ. Grenoble Alpes, CEA, LITEN, DEHT, Grenoble, France.
Nat Commun. 2024 Nov 26;15(1):10258. doi: 10.1038/s41467-024-54656-6.
Smart batteries, i.e., equipped with internal and external sensors, are emerging as promising solutions to enhance battery state of health and optimize operating conditions. However, for accurate correlations between the evolution of the cell parameters (e.g., temperature, strain) and physicochemical degradation mechanisms, it is crucial to know the reliability of sensors. To address this question, we perform a synchrotron operando X-ray diffraction experiment to investigate the local and global impact of the presence of internal sensors on a commercial prismatic Li-ion battery cell at various (dis)charge rates. We find that, while the overall electrochemical performance is unaffected, the sensors have a substantial impact on the local graphite lithiation kinetics, especially at high (dis)charge rates. These results show the importance of controlling local deformations induced by internal sensors and tailoring the dimensions of these sensors to obtain reliable battery performance indicators and optimize smart batteries.
智能电池,即配备了内部和外部传感器的电池,正成为增强电池健康状态和优化运行条件的有前景的解决方案。然而,为了使电池参数(如温度、应变)的变化与物理化学降解机制之间建立准确的关联,了解传感器的可靠性至关重要。为了解决这个问题,我们进行了一项同步加速器原位X射线衍射实验,以研究内部传感器的存在对商用棱柱形锂离子电池在不同充放电速率下的局部和整体影响。我们发现,虽然整体电化学性能不受影响,但传感器对局部石墨锂化动力学有重大影响,尤其是在高充放电速率下。这些结果表明了控制内部传感器引起的局部变形以及调整这些传感器尺寸以获得可靠的电池性能指标和优化智能电池的重要性。