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Solid State Ionics
journal homepage: www.elsevier.com/locate/ssi
Effect of microstructure morphology on Li-ion battery graphite anode
performance: Electrochemical impedance spectroscopy modeling and
analysis
Bereket Tsegai Habte
a,b
, Fangming Jiang
a,
⁎
a
Laboratory of Advanced Energy Systems, CAS Key Laboratory of Renewable Energy, Guangdong Key Laboratory of New and Renewable Energy Research and
Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences (CAS), China
b
University of Chinese Academy of Sciences, China
ARTICLE INFO
Keywords:
Microstructure
Simulated annealing method
Equivalent circuit
Electrochemical impedance spectroscopy
ABSTRACT
Carbon graphite has received much attention over the last decades as the best candidate for negative Li-ion
battery electrodes due to its thermal stability and optimal cycling capability. This paper aims to give a com-
prehensive account of the effect of microstructure morphology such as porosity, tortuosity, solid-electrolyte
interface area and active material particle geometry on the overall performance of an electrode. Simulated
annealing method (SAM) was used to reconstruct a virtual microstructure of a graphite anode based on different
active material particle configuration. The underlying species transport and reaction kinetics of an electro-
chemical cell were modeled through an electrical circuit composed of different components. Simulated results
show that active material particle geometry directly influences the tortuosity and specific surface area of the
microstructure, thus affects the solid and electrolyte phase electronic/ionic mobility. Nyquist plot provided an
overall impedance of ionic and electronic diffusion over a frequency range of 0.1 mHz to 20 kHz. The semi-circle
in the high-frequency region is associated with charge transfer resistance and dielectric behavior of the solid-
electrolyte interface (SEI) while the 45° slope at the low-frequency region is a result of lithium diffusion into the
solid electrode.
1. Introduction
Li-ion batteries are widely used for consumer electronics due to
their high energy to weight ratio, minimal self-discharge, and optimal
cycling capability [1,2]. Recent developments in battery chemistry and
distributed grid management system extended Li-ion battery applica-
tion for power storage devices in stand-alone photovoltaic systems and
as a power source for electric and hybrid vehicles, thus reducing
greenhouse gas emissions from motor vehicles [3,4]. However, there
are still some critical issues that have to be addressed to realize mass
electrification of road transport vehicles such as cost, safety, limited
mileage and extended charging time. Generally, the performance of a
Li-ion battery (cell potential and energy density) depend on cell
chemistry and electrode microstructure morphology while its safety is
mainly determined by the stability of the underlying chemical reactions
and uncontrolled dendritic growth at SEI that could damage the se-
parator and leads to the internal short circuit. From microscale point of
view, performance optimization of Li-ion battery electrodes includes a
systematic design of microstructure morphology parameters such as
particle size and shape, porosity, tortuosity and effective solid-electro-
lyte contact area.
Although many researchers put a huge effort in the search and de-
velopment of new and existing Li-ion battery anode materials, artificial
graphite has been one of the main choices of negative electrodes, due to
its high cycling performance, high reversibility and lower cost [5–8].
However, graphite electrodes have some limitations for high-power
application due to limited intercalation capacity, a higher rate of li-
thium plating at the end of charging [9] and evolution of SEI in the
graphite surface [10] which is always associated with safety issues. The
number of Li-ions inserted into the negative electrode during a single
charging that determines the cell/battery potential is greatly influenced
by microstructure morphology (particle size, porosity and tortuosity
etc.) of the electrode, the electrolyte chemistry and the percentage of Li-
ions delithiated from the positive electrode. Comprehensive under-
standing of the underlying reaction kinetics at SEI and Li-ion diffusion
in the electrolyte and solid-state electrode helps in a systematic design
https://doi.org/10.1016/j.ssi.2017.11.024
Received 9 May 2017; Received in revised form 1 October 2017; Accepted 27 November 2017
⁎
Corresponding author at: Laboratory of Advanced Energy Systems, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences (CAS), 2 Nengyuan Rd, Wushan, Tianhe
District, Guangzhou 510640, China.
E-mail address: jiangfm@ms.giec.ac.cn (F. Jiang).
Solid State Ionics 314 (2018) 81–91
Available online 29 November 2017
0167-2738/ © 2017 Elsevier B.V. All rights reserved.
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