In operando monitoring of the state of charge and species distribution in zinc air batteries using X-ray tomography and model-based simulations. Arlt, T., Schröder, D., Krewer, U., & Manke, I. Physical Chemistry Chemical Physics, 16(40):22273–22280, 2014.
doi  abstract   bibtex   
A novel combination of in operando X-ray tomography and model-based analysis of zinc air batteries is introduced. Using this approach the correlation between the three-dimensional morphological properties of the electrode - on the one hand - and the electrochemical properties of the battery - on the other hand is revealed. In detail, chemical dissolution of zinc particles and the electrode volume were investigated non-destructively during battery operation by X-ray tomography (applying a spatial resolution of 9 μm), while simulation yielded cell potentials of each electrode and allows for the prediction of long-term operation behavior. Furthermore, the analysis of individual zinc particles revealed an electrochemical dissolution process that can be explained using an adapted shrinking-core model.
@article{arlt_operando_2014,
	title = {In operando monitoring of the state of charge and species distribution in zinc air batteries using {X}-ray tomography and model-based simulations},
	volume = {16},
	copyright = {All rights reserved},
	issn = {14639076},
	doi = {10.1039/c4cp02878c},
	abstract = {A novel combination of in operando X-ray tomography and model-based analysis of zinc air batteries is introduced. Using this approach the correlation between the three-dimensional morphological properties of the electrode - on the one hand - and the electrochemical properties of the battery - on the other hand is revealed. In detail, chemical dissolution of zinc particles and the electrode volume were investigated non-destructively during battery operation by X-ray tomography (applying a spatial resolution of 9 μm), while simulation yielded cell potentials of each electrode and allows for the prediction of long-term operation behavior. Furthermore, the analysis of individual zinc particles revealed an electrochemical dissolution process that can be explained using an adapted shrinking-core model.},
	number = {40},
	journal = {Physical Chemistry Chemical Physics},
	author = {Arlt, Tobias and Schröder, Daniel and Krewer, Ulrike and Manke, Ingo},
	year = {2014},
	pmid = {25220061},
	pages = {22273--22280},
}

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