The coupled thermal-electrochemical procedure is intended for the analysis of battery
electrochemistry applications that require solving simultaneously for temperature, electric
potentials in the solid electrodes, electric potential in the electrolyte, concentration of
ions in the electrolyte, and concentration in the solid particles used in the electrodes.
A coupled thermal-electrochemical analysis:
is used for applications where the thermal, electrical, and ion concentration fields
affect each other strongly;
requires the use of coupled thermal-electrochemical elements;
allows for transient or steady-state solutions for temperature and ion concentration and
for steady-state solutions for solid and electrolyte electric potentials;
can include the specification of a fraction of electrical and electrochemical energy that
is released as heat; and
The primary example of a battery electrochemistry application is the charging and
discharging of lithium-ion battery cells. During a charging cycle, the lithium ions are
extracted from the active particles of the positive electrode (cathode). The ions move
through the electrolyte by migration and diffusion from the positive electrode to the
negative electrode across the separator. At the negative electrode (anode), the ions
intercalate into the active particles. Heat is generated during the flow of electrons, ion
migration, and the intercalation process. During discharge, the cycle is reversed.
Coupled Thermal-Electrochemical Analysis
Rechargeable lithium-ion batteries are widely used in a variety of applications, including
portable electronic devices and electric vehicles. The performance of a battery highly
depends on the effects of 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 commonly accepted as the leading method for
modeling the charge-discharge behavior of lithium-ion cells. The method is based on a
homogenized Newman-type approach that does not consider the details of the pore geometry.
The porous electrode is based on the concurrent solution of a highly coupled
multiphysics-multiscale formulation:
At macroscale, the porous electrode is modeled as a homogenized medium consisting of
the superposition of an active solid electrode particle phase and a liquid electrolyte
solution phase, with known volume fractions.
At microscale, a collection of spherical particles is assumed for which a (nonlinear)
lithium-ion diffusion model is solved. The solid particles are connected by a conductive
binder and together form the solid electrode phase.
You can use the coupled thermal-electrochemical procedure to model other battery
electrochemical processes that use the governing equations described in the sections below.
Although the discussion in the following sections is written in terms of lithium cells, the
theory is general and can be used for other cell types.
A full stack lithium-ion battery cell consists of an anode collector, porous anode, porous
separator, porous cathode, and cathode collector. The porous electrode can be described as a
material with a solid skeleton and a distribution of interconnected pores that are filled
with the electrolyte. The solid skeleton consists of a large collection of active spherical
particles that are in contact with the electrolyte. The spherical particles are electrically
conductive and are in electrical contact among themselves, but they do not allow for
interparticle diffusion. The spherical particles are also chemically active and allow for
intercalation and deintercalation of lithium ions.
Figure 1 shows a typical jelly roll configuration of a cylindrical battery. The
porous parts of the battery are immersed in an electrolyte bath that facilitates the
movement of ions from the cathode to the anode during the charging cycle (Figure 2).
The porous electrodes are connected to nonporous collectors that are connected to the
external terminal of the battery. The external terminals of the battery are connected to a
power source during the charging cycle. The electrons move in the solid phase, while the
ions move in the liquid phase.
At the cathode solid-liquid interface, lithium ions can move out of the solid electrode
particles and enter the electrolyte through a deintercalation (or extraction) process that
can be written as:
Here, represents lithium in the solid electrode, which through the
deintercalation reaction, transforms into a lithium ion in the electrolyte, , plus an electron, , and leaves behind a vacancy (or intercalation site) in the solid, . The reverse reaction corresponds to the intercalation of lithium into the
solid electrode.
During the charging cycle, deintercalated lithium ions at the cathode solid-liquid
interface move in the electrolyte through the separator and reach the anode. At the anode,
the lithium ions are intercalated (inserted) into the solid electrode particles. The
separator is porous and allows ions to pass through; however, it is an electrically
insulated material. Therefore, the electrons cannot pass through, which avoids the
possibility of a short circuit in the cell.
The governing equations used to model lithium-ion cells span both multiple scales and
multiple physics and involve solving a fully coupled thermal and electrochemistry problem.
The primary solution variables that are solved for at the macroscale (or continuum scale)
are the electric potential in the solid phase (), temperature (), electric potential in the electrolyte (), and the lithium ion concentration (). At microscale, the model solves for the concentration of lithium () in the particle.
Governing Equations
The porous electrode theory consists of five main parts:
Intercalation at the solid-liquid interface.
Conduction of electrons in the solid phase.
Diffusion and migration of lithium ions in the liquid phase.
Diffusion of lithium in the microscale particle.
Coupling of the continuum scale and microscale.
An optional sixth contribution is associated with Joule heating generation.
Intercalation at the Solid-Liquid Interface
The intercalation process at the solid-liquid interface is governed by electrochemical
kinetics and is defined by the Butler-Volmer equation. The Butler-Volmer equation
describes the relationship between the electric current density through the solid
electrode-electrolyte interface, , and the voltage difference between the electrode and electrolyte
according to:
where and are the exchange current density and overpotential, respectively; is the mean stress or hydrostatic pressure; and represents the partial molar volume of lithium in the electrode
material. The term captures the effects of mechanical stress on the electrical response of
the electrode material. The overpotential, , is defined as:
where is the solid electrolye interface resistance.
The exchange current density, , can be written as:
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,
are the cathodic and anodic rate constants, respectively;
are the cathodic and anodic transfer coefficients,
respectively;
is the theoretical maximum lithium capacity;
is the normalized surface lithium concentration in the microscale
particle;
is the reference value of lithium ion concentration in the electrolyte;
and
is the open circuit potential (OCP) as a function of and .
The normalized concentration, , is defined as , where is the lithium concentration in the particle. The normalized surface
concentration, , is defined as , where is the lithium concentration on the surface of the particle.
Conduction of Electrons in the Solid Phase
The equilibrium equation for the current density, , in the solid phase is given by:
where
is the effective electrical conductivity of the solid phase computed
using the Bruggeman relationship for tortuosity (). Tortuosity represents an intrinsic property of a porous material
characterizing the ratio of the actual flow path length to the straight distance between
the ends.
For isotropic tortuosity:
For anisotropic tortuosity, the above expression can be written as:
where
is the electric conductivity of the bulk solid material (which can be a
function of normalized concentration);
is the tortuosity of the solid porous electrode;
is the volume fraction of the solid phase;
is the unit tensor;
is the Bruggeman exponent for isotropic tortuosity;
are the Bruggeman exponents for anisotropic tortuosity; and
is the wetted particle surface area per unit volume, computed by default as , where is the outer radius of the spherical particle associated with the
microscale model.
Diffusion and Migration of Lithium Ions in the Liquid Phase
The current density in the electrolyte, , and the lithium ion concentration, , in the liquid phase are solved for using the following governing equations:
where
In the above equations,
is the effective electrical conductivity in the electrolyte
phase,
is the effective ion diffusivity in the electrolyte phase,
is the transference number that defines the fraction of the total
electrical current that is carried by lithium ions in the electrolyte,
and
is the molar activity coefficient that accounts for deviations from the
ideal behavior in a mixture of chemical substances.
and are computed using the Bruggeman relationship for tortuosity.
For isotropic tortuosity:
For anisotropic tortuosity, the above expression can be written as:
where
are the electric conductivity and ion diffusivity of the electrolyte,
respectively;
is the unit tensor;
is the tortuosity of the liquid (electrolyte) phase;
is the volume fraction of the liquid phase;
is the Bruggeman exponent for isotropic tortuosity; and
are the Bruggeman exponents for anisotropic tortuosity.
Diffusion of Lithium in the Microscale Particle
The active material at the electrodes is assumed to consist of spherical microparticles.
The particles are assumed to have electrical contact between themselves but no
interparticle diffusion. It is assumed that the microparticle material is a good
electronic conductor (transport number=1) and has spherical symmetry. The conservation of
lithium inside the particle is governed by Fick’s second law of diffusion, written in
spherical coordinates:
where
is the radial coordinate of the spherical particle,
is the lithium concentration in the particle, and
is the concentration-dependent diffusion constant of the solid material.
The time evolution of lithium concentration in the particle is determined by diffusion
and the intercalation current density, , from the electrochemical model in the continuum scale. The microscale
particle is modeled as a sphere over which a one-dimensional finite element mesh in
spherical coordinates is created internally by Abaqus, and the diffusion problem is solved. You can specify the discretization for the
internal mesh and the type of meshing over the microscale particle (see Particle Layer Mesh).
Coupling of the Continuum Scale and Microscale
The coupling of the microscale with the continuum scale happens through the Butler-Volmer
current density, , from the electrochemical model:
Heat Transfer and Joule Heating
The total heat generation in a battery is attributed to the contribution of five
different sources: flow of current at the solid-liquid interface, flow of current in the
solid phase, flow of current in the liquid phase, flow of ions, and entropy generation.
The amount of energy converted into heat from each of the source terms can be scaled using
the conversion factors, (=1–5):
where
is the ohmic loss at the solid-liquid interface;
is the entropy generation, where is the derivative of the open circuit potential with respect to
temperature that you can specify in tabular form;
is the ohmic loss in the electrode;
is the ohmic loss in the electrolyte; and
is the ohmic loss due to ion diffusion.
Fully Coupled Solution Scheme
The coupled thermal-electrochemical analysis in Abaqus uses an exact implementation of Newton’s method, leading to an unsymmetric Jacobian
matrix in the form:
Steady-State Analysis
Steady-state analysis provides the steady-state solution by neglecting the transient terms
in the continuum scale equations. It can be used to achieve a balanced initial state or to
assess conditions in the cell after a long storage period.
In the thermal equation, the internal energy term in the governing heat transfer equation
is omitted. Similarly, the transient term is omitted in the diffusion equations for the
lithium ion concentration in the electrolyte. Electrical transient effects are not included
in the equations because they are very rapid compared to the characteristic times of thermal
and diffusion effects. A steady-state analysis has no effect on the microscale solution; the
transient terms are always considered in the solution of the lithium concentration in the
solid particle.
Transient Analysis
In a transient analysis, the transient effects in the heat transfer and diffusion equations
are included in the solution. Electrical transient effects are always omitted because they
are very rapid compared to the characteristic times of thermal and mass diffusion effects.
Spurious Oscillations due to Small Time Increments
By default, Abaqus/Standard uses nodal integration of the heat capacity term for first-order elements in a transient
analysis, resulting in a lumped treatment for this term. This treatment eliminates
nonphysical oscillations; however, it can lead to locally inaccurate solutions, especially
in terms of the heat flux for small time increments. If smaller time increments are
required, you should use a finer mesh in regions where the temperature changes occur. For
more information about time integration involving the temperature degree of freedom, see
Spurious Oscillations due to Small Time Increments in Uncoupled Heat Transfer Analysis.
Initial Conditions
By default, the initial values of electric potential in the solid, temperature, electric
potential in the electrolyte, and ion concentration of all nodes are set to zero. You can
specify nonzero initial values for the primary solution variables (see Initial Conditions).
The typical set of initial conditions includes uniform but different values for the two
electrodes. The initial lithium concentration in the particles and solid and fluid electric
potentials in the electrodes are chosen such that the overpotential in the electrodes is
zero. The ion concentration in the electrolyte is typically assumed to be uniform in the
cell.
The initial condition for the microscale spherical particle is:
You can prescribe the following boundary conditions:
Electric potential in the solid, (degree of freedom 9).
Electric potential in the electrolyte, (degree of freedom 32).
Temperature, (degree of freedom 11).
Ion concentration in the electrolyte, (degree of freedom 33) at the nodes.
You can specify boundary conditions as functions of time by referring to amplitude
curves.
A boundary without any prescribed boundary conditions corresponds to an insulated (zero
flux) surface.
The typical boundary condition consists only of grounding (setting to zero) the solid
electric potential at the anode. Thermal boundary conditions vary.
At the microscale, the boundary condition for the spherical particle is:
Abaqus applies the microscale boundary conditions automatically.
Loads
You can apply thermal, electrical, and electrochemical loads in a coupled
thermal-electrochemical analysis.
You can prescribe the following types of thermal loads (as described in Thermal Loads):
Concentrated heat flux.
Body flux and distributed surface flux.
Convective film and radiation conditions.
You can prescribe the following types of electrical loads on the solid (as described in
Electromagnetic Loads):
Concentrated current.
Distributed surface current densities and body current densities.
You can prescribe the following types of electrical loads on the electrolyte (as described
in Electromagnetic Loads):
Concentrated current.
Distributed surface current densities and body current densities.
You can prescribe the following types of ion concentration loads (as described in Thermal Loads):
Concentrated flux.
Distributed body flux.
The typical loads include specification of a solid electric flux (current) at the cathode.
Thermal boundary conditions vary but typically include convective film on the exterior
surfaces. Customarily, no loads are applied on the concentrations and electrolyte potential.
Predefined Fields
Predefined temperature fields are not allowed in coupled thermal-electrochemical analyses.
You can use boundary conditions to specify temperatures. You can specify other predefined
field variables in a coupled thermal-electrochemical analysis. These values affect only
field variable–dependent material properties.
Material Options
The thermal and electrical properties for both the solid and the electrolyte are active in
a coupled thermal-electrochemical analysis. All mechanical behavior material models (such as
elasticity and plasticity) are ignored in a coupled thermal-electrochemical analysis. The
electrochemistry framework requires that the material definition contain the complete
specification of properties required for the porous electrode theory, as described below and
in the sections that follow. In addition, the material name must begin with "ABQ_EChemPET_"
to enable the coupled micro-macro solution at the different electrodes. Special-purpose
parameter and property tables of type names starting with “ABQ_EChemPET_” are required in
these material definitions (see Parameter Table Type Reference and Property Table Type Reference).
Thermal Material Properties
You must define thermal conductivity for the heat transfer portion of the analysis. In
addition, you must define the specific heat for transient problems. Thermal expansion
coefficients are not meaningful in a coupled thermal-electrochemical analysis because the
deformation of the structure is not considered. You can specify internal heat
generation.
Electrical Properties for the Solid Electrode Material
You must define the electric conductivity for the solid electrode portion of the
analysis. The electrical conductivity is defined as a function of the average normalized
concentration of the particle, (and, optionally, of temperature and user-defined field variables).
Electrical and Ion Diffusion Properties for the Electrolyte Material
You define the electrolyte name and the ion charge number (z). The
charge number for the lithium ion is 1.0.
A label with the electrolyte name is used to identify all subsequent definitions required
to specify the electrical and ion diffusion properties of the electrolyte.
You define the electrical conductivity, diffusion coefficient, molar activity
coefficient, and the transference (migration). The electrical conductivity and diffusion
coefficients are functions of the lithium ion concentration and the electrolyte volume
fraction in the electrode. The molar activity coefficient and the transference are
functions only of the lithium ion concentration. In addition, all of the electrolyte
properties can depend on temperature and field variables. You can define Arrhenius
temperature dependency for the electrical conductivity and diffusivity. When you define
temperature dependence using a property table, the Arrhenius definition is ignored. For
more details about the Arrhenius dependency, see Arrhenius Temperature Dependency.
Defining Material Properties for the Porous Electrode and Microscale Particle
The following sections describe the material properties used to define the multiscale
nature of the electrodes and separator progressing from the macroscale electrode level to
the microscale particle level.
Electrode Definition
You must define various properties for the electrode at the macroscale, including a
unique region name; a region identifier characterizing the electrode as either an anode,
cathode, or separator; the volume fractions of the various phases in the electrode; and
the tortuosity factors in the three material directions.
You can specify a utilization fraction to account for inaccessible regions in the
electrode (see Ecker, 2015).
When lithium ions intercalate into a particle, the particle can swell resulting in a
convection of the electrolyte away from that region. If this effect is significant and
of interest to you, you can specify a factor of one for the convection coefficient. By
default, the value for the convection coefficient is zero.
When particle swelling effects are included, the binder volume fraction, , and solid volume fraction, , are used to compute and update the electrolyte volume fraction, .
Particle Definition
For each electrode you must define particle-specific properties such as the particle
radius, the initial concentration of the particle, and the contribution factor of the
particle when multiple particles are present. You can define multiple particle types
within the same electrode.
Particle Layer Definition
Each particle can have one layer or multiple concentric layers. All layers within a
particle must have the same material. For each layer, you must define a name for the
layer and a weight percentage per layer.
Particle Layer Mesh
The microscale particle is modeled as a sphere over which a one-dimensional finite
element mesh in spherical coordinates is created and the diffusion problem is solved.
You must specify the discretization () to use on each layer of the microscale particle. The total number of
elements in a particle can be between 1 and 100. Typically, a mesh of 25 elements on a
single particle gives good results. The meshing can be uniform or biased toward the
outside of the sphere using a quadratic or equal volume approach.
Particle Layer Diffusion
You must define the theoretical maximum lithium capacity, , of each layer material in the particle and the diffusion coefficient
to use in the solution of the microscale lithium diffusion equations. Several formats
are available to define the diffusion coefficient as a function of the normalized
concentration, : tabular format, logarithmic tabular format, and spline format.
For a tabular diffusion model, the diffusion coefficient is defined as a piecewise
linear function of the normalized particle layer concentration.
For the logarithmic definition of the layer diffusion, you specify the base 10
logarithm of the diffusion coefficient as a tabular function of the normalized
particle layer concentration.
The spline input form for the diffusion curve requires the diffusion curve as a
function of the normalized concentration to be split into equal intervals along the
x-axis. Each interval is then curve fit with a cubic spline
equation. The parameter table has entries ordered as the start and end of the
interval range and the four polynomial coefficients that correspond to the curve fit
within that range.
In addition, the diffusion coefficient can be a function of temperature. For the spline
format, only the Arrhenius form of temperature dependency is supported.
Particle Swelling
The intercalation/deintercalation process of lithium atoms can lead to significant
changes in the volume of the spherical particles, which increases with the average
lithium concentration within the particle. Particle swelling also results in the local
displacement of the electrolyte (convection effects) to accommodate the new particle
volume. While elastic deformation is not modeled explicitly by the
thermal-electrochemical procedure, the effects of particle swelling on the
electrochemical process are accounted for by considering its influence on the effective
volume fractions of the solid and liquid phases, as well as on the wetted particle
surface area per unit volume .
The volume change in the particle due to a change in average concentration is
characterized by a swelling coefficient, , as:
The solid volume fraction is defined as
where is the number of particles in the macroscopic volume, and is the particle initial volume.
Assuming that the local particle volume change is accommodated by displacing away the
electrolyte, with no overall macroscopic volume change, then
and, for the electrolyte
Similarly, the active surface area per volume, is also affected by swelling with
The electrochemical governing equations are modified accordingly to incorporate the
effects of particle swelling on , , and .
You can include the effects of particle swelling in the simulation by specifying a
swelling coefficient.
Butler-Volmer Definition
You must define the constants required to compute the current density using the
Butler-Volmer equation. You can choose whether the particle surface area per unit volume, , is computed within Abaqus or specified directly as a single value. By default, Abaqus computes the current exchange density, . You can specify in tabular form as a function of the normalized particle concentration
and temperature. is defined as follows for tabular definitions and does not include the
electrolyte concentration terms:
Specifying the Joule Heat Fraction in the Different Phases
You specify the contribution of the different phases to the overall Joule heat fraction
using two parameter tables, one for the macroscale and one for the microscale. The entropy
table is used to define the derivative of the open circuit potential with respect to
temperature. This term is one of the five terms that contribute to the overall Joule heat
fraction.
Arrhenius Temperature Dependency
An Arrhenius form of temperature dependence is also supported for the definition of many
of the material properties. The Arrhenius form of temperature dependence provides a
scaling of the corresponding material property given as:
where
is the activation energy,
is the universal gas constant,
is the absolute zero temperature,
is the reference temperature,
represents the value of material property at the reference temperature,
and
is the resulting value after accounting for Arrhenius temperature
dependency.
The Arrhenius form is ignored when you specify an explicit tabular temperature dependency
in the property table definitions for the different properties (using the temperature
parameter).
Universal Constants
You must define universal constants such as the Faraday number, gas constant, Avogadro's
number, Boltzmann number, absolute zero temperature, and the elementary charge number.
Include File for Property and Parameter Table Definitions
The simultaneous solution in a coupled thermal-electrochemical analysis requires the use of
elements that have electric potential in the solid (degree of freedom 9), temperature
(degree of freedom 11), electric potential in the electrolyte (degree of freedom 32), and
ion concentration in the electrolyte (degree of freedom 33) as nodal variables. The coupled
thermal-electrochemical elements are available in Abaqus/Standard only in three dimensions (see Coupled Thermal-Electrochemical Elements).
Output
In addition to the output quantities available for the coupled thermal-electric procedure,
you can request the following output variables in a coupled thermal-electrochemical
analysis.
Nodal output variables:
EPOT
Electric potential in the solid phase.
EPOTE
Electric potential in the fluid (electrolyte).
NNCE
Ion concentration in the fluid (electrolyte).
RECURE
Reaction current in the fluid (electrolyte).
RFLCE
Reaction ion concentration in the fluid (electrolyte).
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Ecker, M., T. K. D. Tran, P. Dechent, S. Kabitz, A. Warnecke, and D. Sauer, “Parameterization of a Physico-Chemical Model of a Lithium-Ion Battery I. Determination of Parameters,” Journal of the Electrochemical Society, vol. 162, no. 9, 2015.
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