Modelling of a Lithium-Air-Battery using three-dimensional high resolution in-operando X-ray tomography and impedance spectroscopy
Final Report Abstract
Lithium-air batteries are considered a promising energy storage technology for the future, as they theoretically offer very high energy density. However, their practical implementation still faces significant challenges. This project combined material screening, electrical measurements as well as state-of-the-art imaging techniques with machine learning to gain a deeper understanding of the processes inside these batteries. Using in-situ synchrotron tomography and ex-situ FIB tomography, the structure and aging mechanisms of battery cells were analyzed in detail. An amide-based electrolyte mixture proved to be particularly beneficial for discharge capacity. The choice of carbon materials also had a major influence, where not just a high surface area or a large pore volume alone were decisive, but rather the optimal combination of both properties. Manganese mixed oxide and iron oxide were identified as the most promising catalysts. Another key finding concerns the aging of the lithium anode. It was shown that current density affects the mechanical degradation of the anode, which in turn reduces the battery’s lifespan. Thanks to high-resolution imaging, both the degradation of the anode and deposits within the gas diffusion electrode could be visualized. A major technological advancement of this project was the use of machine learning. In particular, the application of Random Forest algorithms enabled efficient analysis of complex imaging data—an essential factor given the highly intricate structures of aged electrodes. Additionally, combining different FIB detectors allowed for a detailed examination of highly porous nanostructures. The imaging analytics developed in this project have already proven to be highly valuable for further research, as reflected in numerous scientific publications. Moreover, new insights were gained into which materials are particularly promising for future lithium-air batteries. This project thus makes an important contribution to the advancement of this innovative battery technology.
Publications
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Revealing Hidden Facts of Li Anode in Cycled Lithium–Oxygen Batteries through X-ray and Neutron Tomography. ACS Energy Letters, 4(1), 306-316.
Sun, Fu; Gao, Rui; Zhou, Dong; Osenberg, Markus; Dong, Kang; Kardjilov, Nikolay; Hilger, André; Markötter, Henning; Bieker, Peter Maria; Liu, Xiangfeng & Manke, Ingo
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Non-destructive characterization of lithium deposition at the Li/separator and Li/carbon matrix interregion by synchrotron X-ray tomography. Nano Energy, 62, 11-19.
Dong, Kang; Osenberg, Markus; Sun, Fu; Markötter, Henning; Jafta, Charl J.; Hilger, André; Arlt, Tobias; Banhart, John & Manke, Ingo
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Confinement of Cobalt Species in Mesoporous N-Doped Carbons and the Impact on Nitroarene Hydrogenation. ACS Sustainable Chemistry & Engineering, 8(30), 11171-11182.
Oliveira, Rafael Lima; Ben Ghorbel, Mohamed Chedly; Praetz, Sebastian; Meiling, Dennis; Schlesiger, Christopher; Schomäcker, Reinhard & Thomas, Arne
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Hierarchical Structuring of NMC111-Cathode Materials in Lithium-Ion Batteries: An In-Depth Study on the Influence of Primary and Secondary Particle Sizes on Electrochemical Performance. ACS Applied Energy Materials, 3(12), 12565-12574.
Wagner, Amalia Christina; Bohn, Nicole; Geßwein, Holger; Neumann, Matthias; Osenberg, Markus; Hilger, André; Manke, Ingo; Schmidt, Volker & Binder, Joachim R.
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Bone metabolism and evolutionary origin of osteocytes: Novel application of FIB-SEM tomography. Science Advances, 7(14).
Haridy, Yara; Osenberg, Markus; Hilger, André; Manke, Ingo; Davesne, Donald & Witzmann, Florian
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Einfluss von Material- und Strukturparametern zur Performancesteigerung von Lithium-Luft-Batterien, Dissertationsschrift
Dennis Meiling
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In situ visualizing the interplay between the separator and potassium dendrite growth by synchrotron X-ray tomography. Nano Energy, 83, 105841.
Ni, Ling; Osenberg, Markus; Liu, Haijun; Hilger, André; Chen, Libao; Zhou, Dong; Dong, Kang; Arlt, Tobias; Yao, Xiayin; Wang, Xiaogang; Chen, Yanan; Li, Yutao; Zhao, Kangning; Yang, Chao; Manke, Ingo; Sun, Fu & Chen, Renjie
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Na electrodeposits: a new decaying mechanism for all-solid-state Na batteries revealed by synchrotron X-ray tomography. Nano Energy, 82, 105762.
Sun, Fu; Duchêne, Léo; Osenberg, Markus; Risse, Sebastian; Yang, Chao; Chen, Libao; Chen, Nan; Huang, Yongxin; Hilger, André; Dong, Kang; Arlt, Tobias; Battaglia, Corsin; Remhof, Arndt; Manke, Ingo & Chen, Renjie
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Unravelling the Mechanism of Lithium Nucleation and Growth and the Interaction with the Solid Electrolyte Interface. ACS Energy Letters, 6(5), 1719-1728.
Dong, Kang; Xu, Yaolin; Tan, Jinwang; Osenberg, Markus; Sun, Fu; Kochovski, Zdravko; Pham, Duong Tung; Mei, Shilin; Hilger, André; Ryan, Emily; Lu, Yan; Banhart, John & Manke, Ingo
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Promoting Mechanistic Understanding of Lithium Deposition and Solid‐Electrolyte Interphase (SEI) Formation Using Advanced Characterization and Simulation Methods: Recent Progress, Limitations, and Future Perspectives. Advanced Energy Materials, 12(19).
Xu, Yaolin; Dong, Kang; Jie, Yulin; Adelhelm, Philipp; Chen, Yawei; Xu, Liang; Yu, Peiping; Kim, Junghwa; Kochovski, Zdravko; Yu, Zhilong; Li, Wanxia; LeBeau, James; Shao‐Horn, Yang; Cao, Ruiguo; Jiao, Shuhong; Cheng, Tao; Manke, Ingo & Lu, Yan
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Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers. Journal of Power Sources, 570, 233030.
Osenberg, Markus; Hilger, André; Neumann, Matthias; Wagner, Amalia; Bohn, Nicole; Binder, Joachim R.; Schmidt, Volker; Banhart, John & Manke, Ingo
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Multidimensionale Bildgebung und Analysen von Batteriematerialien, Dissertationsschrift
Markus Osenberg
