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Analysis of the 3D microstructure of experimental cathode films for lithium‐ion batteries under increasing compaction
Author(s) -
KUCHLER K.,
PRIFLING B.,
SCHMIDT D.,
MARKÖTTER H.,
MANKE I.,
BERNTHALER T.,
KNOBLAUCH V.,
SCHMIDT V.
Publication year - 2018
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.12749
Subject(s) - compaction , microstructure , materials science , cathode , porosity , lithium (medication) , composite material , electrode , lithium ion battery , battery (electricity) , chemistry , medicine , power (physics) , physics , endocrinology , quantum mechanics
Summary It is well known that the microstructure of electrodes in lithium‐ion batteries has an immense impact on their overall performance. The compaction load during the calendering process mainly determines the resulting morphology of the electrode. Therefore, NCM‐based cathode films from uncompacted (0 MPa) to most highly compacted (1000 MPa) were manufactured, which corresponds to global porosities ranging from about 50% to 18%. All samples have been imaged using synchrotron tomography. These image data allow an extensive analysis of the 3D cathode microstructure with respect to increasing compaction. In addition, the numerous microstructural changes can be quantified using several characteristics describing the morphology of cathode samples. Three characteristics, namely global porosity, global volume fraction of active material and mean cathode thickness, are compared to experimental results. In addition, the microstructural analysis by means of 3D image data and image processing techniques allows the investigation of characteristics which are hard or impossible to ascertain by experiments, for example the continuous pore size distribution and the sphericity distribution of NCM‐particles. Finally, the dependency of microstructural characteristics on compaction load is described by the help of parametric probability distributions. This approach can be used, for example, to predict the distribution of a certain characteristic for an ‘unknown’ compaction load, which is a valuable information with regard to the optimization and development process of NCM‐cathodes in lithium‐ion batteries. Lay Description It is well known that the microstructure of electrodes in lithium‐ion batteries has an immense impact on their overall performance. The manufacturing of the batteries includes the so‐called calendering, where the electrodes are compressed with a certain pressure, which is called compaction load. This process step mainly determines the resulting morphology of the electrode and thus the properties of the battery. Therefore, eight cathodes with different compaction loads were manufactured and imaged by synchrotron tomography, which leads to 3D images containing detailed information about the inner structure of the cathode. This image data allows an extensive analysis of the 3D cathode microstructure with respect to increasing compaction. In order to quantify the microstructural changes we use several characteristics describing diverse properties of the morphology. Furthermore, the 3D image data can be used for the computation of characteristics which can not be determined by experiments. Therefore, 3D image data allows us to understand how the microstructure of cathodes is influenced by the compaction load. Finally, we are able to predict the distribution of a certain characteristic for arbitrary compaction loads. This information is valuable with regard to the development of improved lithium‐ion batteries.