Comprehensive Insights into the Porosity of Lithium-Ion Battery Electrodes: A Comparative Study on Positive Electrodes Based on LiNi0.6Mn0.2Co0.2O2 (NMC622)

Porosity is frequently specified as only a value to describe the microstructure of a battery electrode. However, porosity is a key parameter for the battery electrode performance and mechanical properties such as adhesion and structural electrode integrity during charge/discharge cycling. This study illustrates the importance of using more than one method to describe the electrode microstructure of LiNi0.6Mn0.2Co0.2O2 (NMC622)-based positive electrodes. A correlative approach, from simple thickness measurements to tomography and segmentation, allowed deciphering the true porous electrode structure and to comprehend the advantages and inaccuracies of each of the analytical techniques. Herein, positive electrodes were calendered from a porosity of 44–18% to cover a wide range of electrode microstructures in state-of-the-art lithium-ion batteries. Especially highly densified electrodes cannot simply be described by a close packing of active and inactive material components, since a considerable amount of active material particles crack due to the intense calendering process. Therefore, a digital 3D model was created based on tomography data and simulation of the inactive material, which allowed the investigation of the complete pore network. For lithium-ion batteries, the results of the mercury intrusion experiments in combination with gas physisorption/pycnometry experiments provide comprehensive insight into the microstructure of positive electrodes.

[1]  C. Lekakou,et al.  Supercapacitors with lithium-ion electrolyte: An experimental study and design of the activated carbon electrodes via modelling and simulations , 2020, Carbon.

[2]  Y. Jung,et al.  Digital Twin‐Driven All‐Solid‐State Battery: Unraveling the Physical and Electrochemical Behaviors , 2020, Advanced Energy Materials.

[3]  E. Maire,et al.  Multiscale Characterization of Composite Electrode Microstructures for High Density Lithium-ion Batteries Guided by the Specificities of Their Electronic and Ionic Transport Mechanisms , 2020, Journal of The Electrochemical Society.

[4]  Alejandro A. Franco,et al.  Mesoscale Effects in the Extraction of the Solid-State Lithium Diffusion Coefficient Values of Battery Active Materials: Physical Insights from 3D Modeling , 2020, The journal of physical chemistry letters.

[5]  M. Wohlfahrt‐Mehrens,et al.  Influence of Conductive Additives and Binder on the Impedance of Lithium-Ion Battery Electrodes: Effect of Morphology , 2020 .

[6]  I. Sevostianov,et al.  Effect of pore shapes on the overall electrical conductivity of cathode material in Li-ion batteries , 2020 .

[7]  Gunther Reinhart,et al.  Classification of Calendering‐Induced Electrode Defects and Their Influence on Subsequent Processes of Lithium‐Ion Battery Production , 2020, Energy Technology.

[8]  Ricardo Pinto Cunha,et al.  Artificial Intelligence Investigation of NMC Cathode Manufacturing Parametersinterdependencies , 2019, ECS Meeting Abstracts.

[9]  Joachim Mayer,et al.  Nanoscale X-ray imaging of ageing in automotive lithium ion battery cells , 2019, Journal of Power Sources.

[10]  Alejandro A. Franco,et al.  Tracking variabilities in the simulation of Lithium Ion Battery electrode fabrication and its impact on electrochemical performance , 2019, Electrochimica Acta.

[11]  E. Ivers-Tiffée,et al.  Microstructural feature analysis of commercial Li-ion battery cathodes by focused ion beam tomography , 2019, Journal of Power Sources.

[12]  P. Mukherjee,et al.  Quantifying Transport, Geometrical, and Morphological Parameters in Li-Ion Cathode Phases Using X-ray Microtomography. , 2019, ACS applied materials & interfaces.

[13]  D. Siderius,et al.  Understanding Material Characteristics through Signature Traits from Helium Pycnometry. , 2019, Langmuir : the ACS journal of surfaces and colloids.

[14]  M. Winter,et al.  Before Li Ion Batteries. , 2018, Chemical reviews.

[15]  Marc Kamlah,et al.  Highly densified NCM-cathodes for high energy Li-ion batteries: Microstructural evolution during densification and its influence on the performance of the electrodes , 2018, Journal of Energy Storage.

[16]  Marie Francine Lagadec,et al.  Topological and Network Analysis of Lithium Ion Battery Components: The Importance of Pore Space Connectivity for Cell Operation , 2018, 1806.00083.

[17]  H. Gasteiger,et al.  Influence of the Binder on Lithium Ion Battery Electrode Tortuosity and Performance , 2018 .

[18]  M. Ebner,et al.  Tortuosity of Battery Electrodes: Validation of Impedance-Derived Values and Critical Comparison with 3D Tomography , 2018 .

[19]  Wolfgang Haselrieder,et al.  Mercury intrusion for ion- and conversion-based battery electrodes – Structure and diffusion coefficient determination , 2017 .

[20]  Wolfgang Haselrieder,et al.  Characterization of the calendering process for compaction of electrodes for lithium-ion batteries , 2017 .

[21]  Martin Winter,et al.  Lithium ion, lithium metal, and alternative rechargeable battery technologies: the odyssey for high energy density , 2017, Journal of Solid State Electrochemistry.

[22]  E. Maire,et al.  Multiscale morphological characterization of process induced heterogeneities in blended positive electrodes for lithium–ion batteries , 2017, Journal of Materials Science.

[23]  M. Winter,et al.  Degradation effects on the surface of commercial LiNi 0.5 Co 0.2 Mn 0.3 O 2 electrodes , 2016 .

[24]  M. Winter,et al.  Multi-Scale Correlative Tomography of a Li-Ion Battery Composite Cathode , 2016, Scientific Reports.

[25]  W. Bauer,et al.  Investigation of film solidification and binder migration during drying of Li-Ion battery anodes , 2016 .

[26]  D. Wheeler,et al.  Experiment and simulation of the fabrication process of lithium-ion battery cathodes for determining microstructure and mechanical properties , 2016 .

[27]  D. Wheeler,et al.  Morphology of nanoporous carbon-binder domains in Li-ion batteries—A FIB-SEM study , 2015 .

[28]  J. P. Olivier,et al.  Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report) , 2015 .

[29]  D. Wheeler,et al.  Three‐Phase Multiscale Modeling of a LiCoO2 Cathode: Combining the Advantages of FIB–SEM Imaging and X‐Ray Tomography , 2015 .

[30]  K. Schladitz,et al.  Multiscale simulation process and application to additives in porous composite battery electrodes , 2015 .

[31]  M. Winter,et al.  Understanding the influence of conductive carbon additives surface area on the rate performance of LiFePO4 cathodes for lithium ion batteries , 2013 .

[32]  Wolfgang Haselrieder,et al.  Impact of the Calendering Process on the Interfacial Structure and the Related Electrochemical Performance of Secondary Lithium-Ion Batteries , 2013 .

[33]  Xiangyun Song,et al.  Calendering effects on the physical and electrochemical properties of Li[Ni1/3Mn1/3Co1/3]O2 cathode , 2012 .

[34]  Moses Ender,et al.  Quantitative Characterization of LiFePO4 Cathodes Reconstructed by FIB/SEM Tomography , 2012 .

[35]  M. Winter,et al.  Dependency of Aluminum Collector Corrosion in Lithium Ion Batteries on the Electrolyte Solvent , 2012 .

[36]  Xiangyun Song,et al.  Cathode Performance as a Function of Inactive Material and Void Fractions , 2010 .

[37]  Ann Marie Sastry,et al.  Porous cathode optimization for lithium cells: Ionic and electronic conductivity, capacity, and selection of materials , 2010 .

[38]  Andre Peters,et al.  Prediction of capillary hysteresis in a porous material using lattice-Boltzmann methods and comparison to experimental data and a morphological pore network model , 2008 .

[39]  U. Kuila Measurement and interpretation of porosity and pore-size distribution in mudrocks: the hole story of shales , 2007 .

[40]  J. Bessone The activation of aluminium by mercury ions in non-aggressive media , 2006 .

[41]  Porosity measurements of electrodes used in lead-acid batteries , 2005 .

[42]  J. Calo,et al.  The application of small angle scattering techniques to porosity characterization in carbons , 2004 .

[43]  S. Rigby,et al.  The influence of mercury contact angle, surface tension, and retraction mechanism on the interpretation of mercury porosimetry data. , 2002, Journal of colloid and interface science.

[44]  V. S. Bagotzky,et al.  The standard contact porosimetry , 2001 .

[45]  K. Sing,et al.  The use of nitrogen adsorption for the characterisation of porous materials , 2001 .

[46]  J. P. Olivier,et al.  Determination of the absolute and relative extents of basal plane surface area and “non-basal plane surface” area of graphites and their impact on anode performance in lithium ion batteries , 2001 .

[47]  Markus Hilpert,et al.  Pore-morphology-based simulation of drainage in totally wetting porous media , 2001 .

[48]  P. Novák,et al.  Graphites for lithium-ion cells : The correlation of the first-cycle charge loss with the Brunauer-Emmett-Teller surface area , 1998 .

[49]  Petr Novák,et al.  Graphite electrodes with tailored porosity for rechargeable ion-transfer batteries , 1997 .

[50]  V. S. Bagotzky,et al.  The method of standard porosimetry. 1. Principles and possibilities , 1994 .

[51]  L. Gladden,et al.  Determination of pore connectivity by mercury porosimetry , 1991 .

[52]  D. I. Svergun,et al.  Structure Analysis by Small-Angle X-Ray and Neutron Scattering , 1987 .

[53]  S. C. Carniglia Construction of the tortuosity factor from porosimetry , 1986 .

[54]  E. Barrett,et al.  (CONTRIBUTION FROM THE MULTIPLE FELLOWSHIP OF BAUGH AND SONS COMPANY, MELLOX INSTITUTE) The Determination of Pore Volume and Area Distributions in Porous Substances. I. Computations from Nitrogen Isotherms , 1951 .

[55]  E. Teller,et al.  ADSORPTION OF GASES IN MULTIMOLECULAR LAYERS , 1938 .

[56]  E. W. Washburn Note on a Method of Determining the Distribution of Pore Sizes in a Porous Material. , 1921, Proceedings of the National Academy of Sciences of the United States of America.