In‐Vitro Electrochemical Prelithiation: A Key Performance‐Boosting Strategy for Carbon Nanotube‐Containing Silicon‐Based Negative Electrodes in Li‐Ion Batteries

ChemElectroChem, vol. 11

Abstract

Abstract Prelithiation technology has emerged as an enabling approach towards the practical deployment of Silicon negative electrode‐based Li‐Ion batteries, leading to significant advancement in initial Coulombic efficiency (ICE), energy density and cycle life. In this study, an electrochemical prelithiation has been applied to Multi‐Walled Carbon Nanotubes (MWCNTs)‐containing Silicon‐rich Silicon/Graphite‐based negative electrode, eliminating almost ~51.03 % of its first irreversible capacity losses. In contrast, a benchmarking negative electrode utilizing Carbon black (Super P) as conductive additive is found to demonstrate a reduction of ~39.55 % after prelithiation, which is considerably lower compared to MWCNTs‐based electrode system. Post‐mortem analysis using Energy‐dispersive X‐ray (EDX) analysis with a Scanning Electron Microscope (SEM) and Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR‐FTIR) shows disparities between pristine‐cycled and prelithiated‐cycled negative electrodes. Overall, prelithiation enabled MWCNTs can be regarded as an essential additive component in Silicon‐based negative electrode systems for high‐energy density Li‐Ion batteries.

Authors 4

1. Leyla Ünal corresponding

   Helmholtz-Institute Münster

   Affiliation as printed

   Helmholtz Institute Münster (HI MS), IEK-12 Research Center Jülich GmbH Campus Boulevard 89 52074 Aachen Germany

2. Viviane Maccio‐Figgemeier Aachen

   RWTH Aachen University

   Affiliation as printed

   Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL) RWTH Aachen University Campus Boulevard 89 52074 Aachen Germany

   Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University, Campus Boulevard 89, 52074 Aachen, Germany

3. Gebrekidan Gebresilassie Eshetu corresponding Aachen

   RWTH Aachen University · Mekelle University

   Affiliation as printed

   Department of Material Science and Engineering, Mekelle Institute of Technology Mekelle University P.O. Box 1632 Mekelle Ethiopia

   Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL) RWTH Aachen University Campus Boulevard 89 52074 Aachen Germany

   Department of Material Science and Engineering, Mekelle Institute of Technology, Mekelle University, P.O. Box 1632, Mekelle, Ethiopia

   Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University, Campus Boulevard 89, 52074 Aachen, Germany

4. Egbert Figgemeier corresponding Aachen

   RWTH Aachen University · Jülich Aachen Research Alliance · Helmholtz-Institute Münster

   Affiliation as printed

   Helmholtz Institute Münster (HI MS), IEK-12 Research Center Jülich GmbH Campus Boulevard 89 52074 Aachen Germany

   Jülich Aachen Research Alliance JARA-Energy 52425 Jülich Germany

   Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL) RWTH Aachen University Campus Boulevard 89 52074 Aachen Germany

   Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University, Campus Boulevard 89, 52074 Aachen, Germany