Abaqus/Standard provides a set of capabilities to model battery aging.
Aging of lithium ion batteries has an important effect on the useful life of rechargeable
batteries. Simulation results can be used to better engineer batteries to extend their
useful life for various applications.
Rechargeable lithium-ion batteries are widely used in a variety of applications,
including portable electronic devices and electric vehicles. The performance of a
battery is affected strongly by repeated charging and discharging cycles, which can
cause the degradation of the battery capacity over time. The porous electrode theory
(Newman et al., 2004) is a commonly accepted framework for
modeling the charge-discharge behavior of lithium-ion cells. The method is based
upon a homogenized Newman-type approach that does not consider the details of the
pore geometry. The porous electrode theory is based upon a concurrent solution of a
highly coupled multiphysics-multiscale formulation. For more information, see Coupled Thermal-Electrochemical Analysis.
Abaqus/Standard can model the following primary battery aging mechanisms:
Formation and growth of the Solid Electrolyte Interface
(SEI) due to electrolyte decomposition and
deposition on the electrode surface.
SEI growth in cracks at the particle surface.
Decrease in porosity and active surface area due to SEI
growth.
Metallic lithium plating on the particle surface.
Dissolution of the cathode.
The first four of the above mechanisms happen at the anode, while the last
degradation mechanism happens at the cathode, as shown in Figure 1
Governing Equations
In addition to intercalation, the chemical reactions corresponding to
SEI formation, lithium plating, and
SEI growth in cracks contribute to the total
current, , at the particle surface:
In the above equation, the expression for the Butler-Volmer current, , is the same as described in Coupled Thermal-Electrochemical Analysis. The quantities , , and represent the currents associated with different aging mechanisms;
that is, the SEI growth at the particle-electrolyte
interfaces, lithium plating, and the SEI growth in
the particle surface cracks, respectively. Therefore, aging affects the governing
equations of the Neumann framework through a modification of the Butler-Volmer
intercalation current at the interface between the active particles and the
electrolyte. The total current contributes as source terms for the equations that
govern the macroscale solid electric potential, fluid-electric potential, and ion
concentration fields (see Coupled Thermal-Electrochemical Analysis) and,
therefore, affects the overall performance of the battery over time.
In the absence of any aging effects, , and the other currents are zero. However, with aging, the
combined effects of the other currents result in a progressive reduction in the
magnitude of and an associated loss in capacity.
The combination of SEI formation and lithium plating also
results in the growth of a surface film on the solid particles of the anode, which
reduces the effective surface area between the particles and the electrolyte. The
discussions that follow outline the constitutive equations for the currents , , and and describe the evolution of the surface film at the surface of
the active electrode particles.
Solid Electrolyte Interface
The basic form of the Butler-Volmer kinetics is used to characterize the current at the
interface of the particle and the electrolyte, where the
SEI layer forms and grows progressively. The
expression for is as follows:
where and are the exchange current density and equilibrium potential of
SEI formation, respectively, and is the electrical resistance at the solid electrolye
interface.
In the above equations,
is Faraday's constant;
is the gas constant;
is the charge number of the lithium ion battery;
is temperature;
is the absolute zero temperature;
is the kinetic rate constant of
SEI;
are the cathodic and anodic transfer coefficients,
respectively;
is the open circuit potential (OCP) as a
function of ;
are the initial thickness and evolving thickness of the
SEI film layer;
is the electrical conductivity of the SEI film
layer;
are the electric potentials in the solid and electrolyte
phases, respectively; and
is the concentration of Ethylene Carbonate (EC)
on the anode particle surface.
The surface concentration, , evolves during the analysis based on the bulk concentration
of ethylene carbonate in the electrolyte, , as:
where is the diffusivity of EC and is the thickness of the SEI
film layer on the particle. The computation of is explained in Surface Film Growth.
SEI Reformation
During the regular charging-discharging of a lithium battery, the graphite particle at the
anode can expand or contract based on litheation or delitheation of ions. This
change in volume can cause cracking to occur on the particle and
SEI layer. The cracked surfaces are then
exposed to the electrolyte, which leads to the formation of a new
SEI layer. The effects of this additional
SEI layer enter the formulation through the
current defined as:
where and are the exchange current density of the
SEI reformation and the equilibrium potential
of the SEI reformation, respectively.
Typically, = .
In the above equation, is a cracking function dependent on the intercalation in the
particle.
Lithium Plating
Lithium plating occurs only when the electric potential at the anode is negative;
that is, . This process is assumed to be irreversible, which means that
stripping of lithium in the subsequent discharge is neglected. The lithium
plating contribution to the total current is and is given as:
where and are the exchange current density and the equilibrium potential
of lithium plating, respectively, and is the electrical resistance at the solid electrolye
interface.
In the above equations, is the cathodic transfer coefficient.
Lithium plating typically dominates a narrow portion of the anode near the separator after a
certain number of cycles when the potential is negative. The lithium plating is
associated with a drop of anode porosity associated with
SEI film growth, which can increase the local
electrolyte potential gradient in the anode. After hundreds of cycles of cyclic
charging, there can be an exponential increase of lithium plating, as well as
local pore clogging near the anode/separator interface.
Surface Film Growth
SEI and lithium metal together form the surface film
covering the active particles at the anode. Within the film, the time evolution
of the concentrations of SEI and plated lithium
are governed by the following equations:
where are the molar concentrations of the
SEI and plated lithium, respectively, per unit
volume of the electrode; is the wetted particle surface area per unit volume; and is the fraction of plated lithium that can convert to the
SEI.
The surface film is characterized by an equivalent thickness, , which is defined as the ratio of the total volume of the
SEI and lithium metal to the specific surface
area per unit volume of electrode, . The equivalent thickness of the surface film is determined by
the concentrations of the SEI and plated
lithium as:
where are the molar weights of the
SEI and plated lithium, and are the molar densities of the
SEI and plated lithium.
Using the computed film thickness, one can compute the ionic resistance, , and electrical resistance, , of the SEI layer. Since this
model neglects the stripping of lithium metal, the plated lithium is considered
isolated from the main electron-conduction matrix. Therefore, the ionic
resistance is determined only by SEI as:
where is the volume fraction of the
SEI in the film, and is the ionic conductivity of the
SEI layer. The computed is used in the Butler-Volmer kinetics as described in Coupled Thermal-Electrochemical Analysis.
Cathode Dissolution
The dissolution of cathode happens above a certain prescribed voltage where, in
the case of lithium ion batteries, the hydrofluoric acid starts to dissolve the
active cathode material, resulting in a reduction of active surface area and
solid volume fraction of the cathode. The dissolution mechanism is governed by
the following equations:
where and are the exchange current density and the equilibrium potential
of the cathode dissolution, respectively. is the potential above which the dissolution of active
material happens. The cathode dissolution effect is captured as a change in
solid volume fraction, , that affects the wetted surface area, , and, therefore, further reduces the capacity of the battery.
where is the length of the cathode.
Defining the Properties for the Aging Mechanisms
You must specify the constants required to define each of the aging mechanisms.
Solid Electrolyte Interface Properties
You must define tables of properties required to activate the computation of the
SEI current.
SEI Reformation Properties
You must define tables of properties required to activate the
SEI and to compute the
SEI reformation after a crack on the particle
.
Lithium Plating Properties
You must define tables of properties required to activate the computation of the
lithium plating current.
Cathode Dissolution Properties
You must define tables of properties required to activate the computation of the
cathode dissolution.
Output
In addition to the output variables available for the coupled thermal-electric
procedures, the coupled thermal-electrochemical procedures, the coupled
thermal-electrochemical-structural procedures, and the
thermal-electrochemical-structural-pore pressure procedures, you can request the
following element integration point output variables related to aging in Abaqus/Standard:
CONCSEI_
SEI concentration in the film for particle
i.
CONCLPL_
Plated lithium concentration in the film for particle
i.
CONCSOL_
Concentration of solute on the surface of particle
i.
ECDSEI_
SEI Butler-Volmer current for particle
i.
ECDLPL_
Butler-Volmer current for plated lithium in particle
i.
ECDCRACKSEI_
Butler-Volmer current for particle i due to reformation of the
SEI.
ECDELECDISS_
Butler-Volmer current for particle i due
to dissolution.
ECDTOTAL
Total current due to the different aging
mechanisms.
References
Yang, X-G., Y. Leng, G. Zhang, S. Ge, and C-Y. Wang, “Modeling of Lithium Plating Induced Aging of Lithium-Ion Batteries:
Transition from Linear to Nonlinear Aging,” Journal of Power Sources, vol. 360, no. 28-40, 2017.
Kindermann, F., K. Jonas, A. Frank, and A. Jossen, “A SEI Modeling Approach Distinguishing between Capacity and Power Fade,” Journal of the Electrochemical Society, vol. 164, no. 12, 2017.
Newman, J., , and K. E. Thomas-Alyea, Electrochemical Systems, Wiley-Interscience, Third Edition, 2004.