Connecting the irreversible capacity loss in Li-ion batteries with the electronic insulating properties of solid electrolyte interphase components

Significance Statement

The life of lithium ion batteries is typically estimated by extrapolating accelerated life testing data. As a first step toward mechanism-based predictive battery life modeling, Lin et al. developed an analytical model, which takes electron tunneling properties obtained from quantum mechanical calculations as inputs, to estimate the first cycle irreversible capacity loss. (Y. Lin et al., J. Power Sources 309, 221-230, 2016)  The predicted first cycle irreversible capacity loss shows good agreement with experimental results obtained on various carbon materials (Joho et al. Journal of Power Sources. 78, 97-98, 2001). This is a bit surprising, since no fitting parameters were used.

It is generally recognized that the formation and continuous growth of a solid electrolyte interphase (SEI) layers due to electrolyte decomposition are responsible for the irreversible capacity loss of batteries in both the initial and subsequent stages of cycling. In this study, a density function theory (DFT) – based electron tunneling model was used to assess the electronic insulating ability of inorganic solid electrolyte interphase components (Li2CO3, LiF, Li3PO4), such as electron tunneling barrier, critical thickness & initial irreversible capacity loss caused by Li+ ion consumption.  These useful quantifiable parameters allow meaningful design principles for anode protection to circumvent cycling instability and capacity loss.

These calculations also show that the critical thickness needed to block electron tunneling on the electrode surface for inorganic solid electrolyte interphase components is ~2~3 nm. The coupling effect of stress, e.g. tension and compression induced by electrode volume expansion, on electron tunneling barriers was also investigated. It was predicted that electron tunneling barriers decrease under tension and increase under compression, causing non-negligible effect on the critical thickness & irreversible capacity loss due to deformation.

Since the initial irreversible capacity loss due to solid electrolyte interphase formation predicted by this fitting-parameter-free model agrees well with experiments, it suggests that the initial solid electrolyte interphase formation is likely to be controlled by the self-limiting electron tunneling property of the inorganic components in solid electrolyte interphase.

It also suggest that other electron transport mechanisms, such as polaron, defects, interfaces, cracked solid electrolyte interphase, and/or the instability of the outer solid electrolyte interphase components, such as Li2EDC and other radicals are still needed in order to explain the continuous growth of solid electrolyte interphase, which is responsible for the long term degradation of the batteries. Therefore, quantifying these mechanisms will eventually lead to a comprehensive life prediction model for lithium ion batteries.

This work is supported by the degradation science research theme as part of Nanostructures for Electrical Energy Storage (NEES), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award number DESC0001160 and NSF GOALI under CMMI-1235092.  

Connecting the irreversible capacity loss in Li-ion batteries with the electronic insulating properties of solid electrolyte interphase (SEI) components. Advances in Engineering

About the author

Yuxiao Lin is a Ph.D. candidate in the department of Chemical Engineering and Materials Science (CHEMS), Michigan State University, East Lansing, Michigan. He received both his B.S. (2012) and M.S.(2014) from the School of Materials Science and Engineering, Tsinghua University, Beijing, China. He is advised by Dr. Qi in the Materials Simulation for Clean Energy (MSCE) lab.

His research is mainly focused on understanding the impact of the electrode/electrolyte interface on nanostructure degradation science of energy storage devices. With computational approach such as Density Function Theory and Molecular Dynamics calculation, he is trying to shed more light on the detailed transport mechanisms and predict novel designs in different battery systems, such as Li-ion, Li-S, and Na-S batteries. He has authored and co-authored six journal publications.

He has received the Engineering Distinguished Fellowship in the College of Engineering, Michigan State University in 2014 and EFRC NEES Collaboration Travel Grant Award in 2016. 

About the author

Yue Qi is an associate professor at the Michigan State University in the Department of Chemistry Engineering and Material Science. She received her B.S. in Materials Science & Computer Science at Tsinghua University in 1996 and her Ph.D on Materials Science with a minor on Computer Science from Caltech in 2001. She worked in General Motors R&D for 12 years before returned to academia in 2013 and starting the “Material Simulation for Clean Energy” lab at MSU. At the MSCE Lab, Qi and her group develop multi-scale simulation methods to design materials atom by atom.

She is interested in materials that deliver clean energy, such as Li-ion batteries, fuel cells and lightweight materials.  She was a co-recipient of the Feynman Prize in Nanotechnology for Theoretical Work in 1999 and has received three GM Campbell Awards for fundamental research on “fundamentals of tribology” “high temperature forming of Aluminum” and “nano-scale plasticity”.

Journal Reference

Yu-Xiao Lin1, Zhe Liu2, Kevin Leung3, Long-Qing Chen2, Peng Lu4, Yue Qi1 . Connecting the irreversible capacity loss in Li-ion batteries with the electronic insulating properties of solid electrolyte interphase components.  Journal of Power Sources,Volume 309, 2016, Pages 221–230.

[expand title=”Show Affiliations”]
  1. Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824, USA
  2. Department of Materials Science and Engineering, Penn State University, University Park, PA 16802, USA
  3. Sandia National Laboratories, Albuquerque, NM, USA
  4. General Motors Research and Development Center, Warren, MI 48090, USA
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