RESEARCH ARTICLE
1
Voltammetric behaviour of LMO at the nanoscale: a map of
reversibility and diffusional limitations
E.M. Gavilán-Arriazu*
[a],[b]
, M.P. Mercer
[c],[d]
, D.E. Barraco
[b]
, H.E. Hoster
[c],[d]
and E.P.M. Leiva*
[a]
[a] Dr. E.M. Gavilán-Arriazu and Prof. E.P.M. Leiva
Departamento de Química Teórica y Computacional
Facultad de Ciencias Químicas, Universidad Nacional de Córdoba,
INFIQC, Córdoba, Argentina
E-mail: maxigavilan@hotmail.com
E-mail: ezequiel.leiva@unc.edu.ar
[b] Dr. E.M. Gavilán-Arriazu and Prof. D.E. Barraco
Facultad de Matemática, Astronomía y Física,
IFEG-CONICET
Universidad Nacional de Córdoba Córdoba, Argentina
[c] Dr. M.P. Mercer and Prof. H.E. Hoster
Department of Chemistry,
Lancaster University, Bailrigg,
Lancaster, United Kingdom
[d] Dr. M.P. Mercer and Prof. H.E. Hoster
ALISTORE European Research Institute
CNRS FR 3104, Hub de l’Energie, 80039 Amiens, France
Supporting information for this article is given via a link at the end of the document
Abstract: Understanding and optimization of single particle rate
behaviour is normally challenging in composite commercial lithium-ion
electrode materials. In this regard, recent experimental research has
addressed the electrochemical Li-ion intercalation in individual
nanosized particles. Here, we present a thorough theoretical analysis
of the Li
+
intercalation voltammetric behaviour in single nano/micro-
scale LiMn2O4 (LMO) particles, incorporating realistic interactions
between inserted ions. A transparent 2-dimensional zone diagram
representation of kinetic-diffusional behaviour is provided that allows
rapid diagnosis of the reversibility and diffusion length of the system
dependent on particle geometry. We provide an Excel file where the
boundary lines of the zone diagram can be rapidly recalculated by
setting input values of the rate constant,
0
and diffusion coefficient, .
The model framework elucidates the heterogeneous behaviour of
nanosized particles with similar sizes but different shapes. Hence, we
present here an outlook for realistic multiscale modelling of real
materials.
Introduction
By now, lithium ion (Li-ion) batteries are well optimized in terms of
capacity, proving successful in portable electronics, electric
vehicles and potentially even stationary storage
[1–5]
. On the other
hand, the key factors governing the rate performance of the
electrodes are not fully understood. In particular, a proper
description of Li-ion intercalation in nanosized materials is of
primary importance for battery electrode design to inform how size
and geometry impact on rate performance and lifetime. Most
research has been focused on the behaviour of composite
electrodes, where the contribution of particles with different sizes
and shapes, together with the influence of agglomeration and the
binder, plays an important role
[6,7]
. This approach circumvents
analysis of single particle behaviour because the contribution of
each particle to the total behaviour results in a collective average
in electrochemical responses.
The spinel cathode LiMn2O4 (LMO) presents a good rate
performance, moderate theoretical capacity and high abundance,
potentially making this chemistry suitable for stationary storage
applications. However, in spite of the previous extensive research
on composite microsized particles used in commercial cathodes
[8,9]
, the redox behaviour of individual nanosized particles
practically remains a virtually unexplored research area.
Figure 1. Cyclic voltammograms (i) for particles a and b, with the corresponding
SEM images (ii). Reproduced with permission from reference
[10]
. John Wiley &
Sons Copyright © 2011. CC BY 4.0.
Remarkably, LMO ensembles of nanosized particles have been
found to exhibit higher reversibility and better performance than
the micrometric counterpart, but the origin of this improvement
was not clear
[11]
. The recent work of Tao et al.
[10]
, set a precedent
by measuring cyclic voltammograms for individual LiMn2O4
particles of nanometric size using scanning electrochemical cell
microscopy (SECCM), getting well resolved voltammetric features
at scan rates as high as 1 V/s. Two cyclic voltammograms from
this work, (a-i) and (b-i), for individual particles and the