Electrochemical Lithium Ion
Electrochemical model of a lithium-ion battery
Description
Variables
Connections
Electrode Chemistry Parameters
Degradation Parameters
Basic Parameters
Basic Thermal Parameters
Detailed Parameters
Detailed Thermal Parameters
References
The LiIon component models a lithium-ion battery using order-reduced equations derived from John Newman’s works on porous-electrode theory [1-3]. The following figure shows the basic anatomy of a lithium-ion cell, which has four main components: the negative composite electrode connected to the negative terminal of the cell, the positive electrode connected to the positive terminal of the cell, the separator, and the electrolyte. The chemistries of the positive and negative electrodes are independently selectable and define the electrochemical and thermal behaviors of the battery.
Main chemical reactions (assuming LiyCoO2 cathode and LixC6 anode).
Cathode: Li1−yCoO2+y⁢Li++y⁢e−→LiCoO2
Anode: LiyC6→C6+y⁢Li++y⁢e−
During battery operation, the position lithium ions (Li+) travel between the two electrodes via diffusion and ionic conduction through the porous separator and the surface of the active material particles where they undergo electrochemical reactions. This process is called intercalation.
Electrochemical Behavior
Transport in solid phase
The following partial differential equation (PDE) describes the solid phase Li+ concentration in a single spherical active material particle in solid phase:
∂cs∂t=Dsr2⁢∂∂rr2⁢∂cs∂r
where Ds is the Li+ diffusion coefficient in the intercalation particle of the electrodes.
Transport in electrolyte
The Li+ concentration in the electrolyte phase changes due to the changes in the gradient diffusive flow of Li+ ions and is described by the following PDE:
ε⁢∂ce∂t=∂∂xDeff⁢∂ce∂x+a⁢1+t+⁢j
where
ε is the volume fraction,
Deff is the Li+ diffusion coefficient in the electrolyte,
a=3Rs⁢1−ε−εf is the specific surface area of electrode,
Rs is the radius of intercalation of electrode
εf is the volume fraction of fillers
t+ is the Li+ transference constant in the electrolyte, and
j is the wall-flux of Li+ on the intercalation particle of electrode.
Electrical potentials
Charge conservation in the solid phase of each electrode is described by Ohm’s law:
σeff⁢ⅆ2ⅆx2Φs=a⁢F⁢j
In the electrolyte phase, the electrical potential is described by combining Kirchhoff’s law and Ohm’s law:
−σeff⁢∂Φs∂x−κeff⁢∂Φe∂x+2⁢κeff⁢R⁢TF⁢1−t+⁢∂ln⁡ce∂x=J
σeff=σ⁢1−ε−εeff is the effective electronic conductivity,
σ is the electronic conductivity in solid phase,
κeff is the effective ionic conductivity of the electrolyte, and
J is the applied current density.
Butler-Volmer kinetics
The Butler-Volmer equation describes the relationship between the current density, concentrations, and over-potential:
j=k⁢cs,max−cs,surf0.5⁢cs,surf0.5⁢ce0.5⁢exp⁡0.5⁢F⁢μR⁢T−exp⁡−0.5⁢F⁢μR⁢T
k is the reaction rate constant,
μ=Φs−Φe−U is the over-potential of the intercalation reaction,
cs,max is maximum concentration of Li+ ions in the intercalation particles of the electrode,
cs,surf is the concentration of of Li+ ions on the surface of the intercalation particles of the electrode, and
U is the open-circuit potential for the electrode material.
The open-circuit potential for each cathode and anode material has been curve-fitted based on experimental measurements.
An example of the open-circuit potentials for LⅈyCoO2 cathode and LⅈxC6 anode, curve-fitted from experiment measurement, are shown in the following figure:
Degradation
The gradual decay, with use, of a cell's capacity and increase of its resistance is modeled by enabling the include degradation effects boolean parameter. Enabling this feature adds a state-of-health (soh) output to the model. This signal is 1 when the cell has no decay and 0 when is completely decayed.
The soh output is given by
soh=1−sRs3
s is thickness of the solid-electrolyte interface (SEI),
Rs is radius of the particles of active material in the SEI.
The decay of the capacity is
C=Cmax⁢soh
C is the effective capacity, and
Cmax is the specified capacity equal to either the parameter CA or the input Cin.
The additional series resistance added to a cell is
Rsei=sκ
with κ a parameter of the model.
The following equations govern the increase in the thickness of the SEI layer (s).
k=Ae⁢exp⁡−EaR⁢T
dsdt={k⁢c⁢M1+k⁢sDdiff⁢ρseicharging0otherwise
Thermal Effects
Select the thermal model of the battery from the heat model drop-down list. The available models are: isothermal, external port, and convection.
Isothermal
The isothermal model sets the cell temperature to a constant parameter, Tiso.
External Port
The external port model adds a thermal port to the battery model. The temperature of the heat port is the cell temperature. The parameters mcell and cp become available and are used in the heat equation
mcell⁢cp⁢dTcelldt=Pcell−Qcell
Qflow=ncell⁢Qcell
Pcell=icell2⁢Rcell+icell⁢Tcell⁢dUpdT−dUndT+icell⁢μp−μn
where Pcell is the heat generated in each cell, including chemical reactions and ohmic resistive losses, Qcell is the heat flow out of each cell, and Qflow is the heat flow out of the external port.
Convection
The convection model assumes the heat dissipation from each cell is due to uniform convection from the surface to an ambient temperature. The parameters mcell, cp, Acell, h, and Tamb become available, as does an output signal port that gives the cell temperature in Kelvin. The heat equation is the same as the heat equation for the external port, with Qcell given by
Qcell=h⁢Acell⁢Tcell−Tamb
Arrhenius equations
For all thermal models, the Arrhenius equations model the effect of cell temperature on the chemical reaction.
Ds,x=Ds,x,ref⁢exp⁡Edx,pR⁢1Tref−1Tcell
Deff,x=De⁢εxbrugg⁢exp⁡Ede,xR⁢1Tref−1Tcell
with x∈p,s.
State of Charge
A signal output, soc, gives the state-of-charge of the battery, with 0 being fully discharged and 1 being fully charged.
The parameter SOCmin sets the minimum allowable state-of-charge; if the battery is discharged past this level, the simulation is terminated and an error message is raised. This prevents the battery model from reaching non-physical conditions. A similar effect occurs if the battery is fully charged so that the state of charge reaches one.
The parameter SOC0 assigns the initial state-of charge of the battery.
Capacity
The capacity of a cell can either be a fixed value, CA, or be controlled via an input signal, Cin, if the use capacity input box is checked.
Resistance
The resistance of each cell can either be a fixed value, Rcell, or be controlled via an input signal, Rin, if the use cell resistance input box is checked.
Name
Units
Modelica ID
Tcell
K
Internal temperature of battery
i
A
Current into battery
v
V
Voltage across battery
Type
p
Electrical
Positive pin
n
Negative pin
soh
Real output
State of health [0..1]; available when include degradation effects is enabled
SOC
State of charge [0..1]
Cin
Real input
Sets capacity of cell, in ampere hours; available when use capacity input is true
Rin
Sets resistance of cell, in Ohms; available when use resistance input is true
Tout
Temperature of cell, in Kelvin; available with convection heat model
heatPort
Thermal
Thermal connection; available with external port heat model
Default
chem+
LiCoO2
Chemistry of the positive electrode
chem_pos
chem−
Graphite
Chemistry of the negative electrode
chem_neg
The chem_pos and chem_neg parameters select the chemistry of the positive and negative electrodes, respectively. They are of types MaplesoftBattery.Selector.Chemistry.Positive and MaplesoftBattery.Selector.Chemistry.Negative. The selection affects the variation in the open-circuit electrode potential and the chemical reaction rate versus the concentration of lithium ions in the intercalation particles of the electrode.
If the Use input option is selected for either the positive or negative electrode, a vector input port appears next to the corresponding electrode. The port takes two real signals, U and S, where U specifies the potential in volts at the electrode and S specifies the entropy in Jmol⁢K.
If any of the chem_pos materials LⅈNⅈO2, LⅈTⅈS2, LⅈV2O5, LⅈWO3, or NaCoO2 is selected, the isothermal model is used.
If the Use interpolation table option is selected for either the positive or negative electrode, a 2-D table defines the electrode potential and entropy in terms of the state-of-charge. The mode option selects whether the table is defined by an attachment, a file, or inline. The table has three columns:
The first column is the state-of-charge (soc), a real number between 0 and 1.
The second column is the electrode potential (U) in volts.
The third column is the electrode entropy (S) in Jmol⁢K.
Supported positive electrode materials
Chemical composition
Chemical name
Common name
LⅈCoO2
Lithium Cobalt Oxide
LCO
LⅈFⅇPO4
Lithium Iron Phosphate
LFP
LⅈMn2O4
Lithium Manganese Oxide
LMO
LⅈMn2O4 - low plateau
Lⅈ1.156Mn1.844O4
LⅈNⅈ0.8Co0.15Al0.05O2
Lithium Nickel Cobalt Aluminum Oxide
NCA
LⅈNⅈ0.8Co0.2O2
Lithium Nickel Cobalt Oxide
LⅈNⅈ0.7Co0.3O2
LⅈNⅈ0.33Mn0.33Co0.33O2
Lithium Nickel Manganese Cobalt Oxide
NMC
LⅈNⅈO2
Lithium Nickel Oxide
LⅈTⅈS2
Lithium Titanium Sulphide
LⅈV2O5
Lithium Vanadium Oxide
LⅈWO3
Lithium Tungsten Oxide
NaCoO2
Sodium Cobalt Oxide
Supported negative electrode materials
LⅈC6
Lithium Carbide
LⅈTⅈO2
Lithium Titanium Oxide
Lⅈ2Tⅈ5O12
Lithium Titanate
LTO
Ae
1.2
ms
Factor for reaction rate equation
D0
1.8·10−19
m2s
Diffusion coefficient at standard conditions
Ea
10000
Jmol
Activation energy
M
0.026
kgmol
Molar mass of SEI layer
Rs
2·10−6
m
Radius of particles of active material in anode
SoH0
1
Initial state-of-health: 0≤SoH0≤1
c
5000
molm3
Molar concentration of electrolyte
κ
0.001
mΩ
Specific conductivity coefficient
kappa
ρsei
2600
kgm3
Density of SEI layer
rho_sei
Ncell
Number of cells, connected in series
ncell
CA
A·h
Capacity of cell; available when use capacity input is false
C
SOC0
Initial state-of-charge [0..1]
SOCmin
0.01
Minimum allowable state-of-charge
Rcell
0.005
Ω
Series resistance of each cell; available when use cell resistance input is false
Tiso
298.15
Constant cell temperature; used with isothermal heat model
cp
750
Jkg⁢K
Specific heat capacity of cell
mcell
0.55
kg
Mass of one cell
h
100
Wm2⁢K
Surface coefficient of heat transfer; used with convection heat model
Acell
0.0085
m2
Surface area of one cell; used with convection heat model
Tamb
Ambient temperature; used with convection heat model
De
7.5·10−11
Electrolyte diffusion coefficient
Ds,n,ref
3.9·10−14
Lithium-ion diffusion coefficient in the intercalation particles of the negative electrode
Dsnref
Ds,p,ref
1.0·10−14
Lithium-ion diffusion coefficient in the intercalation particles of the positive electrode
Dspref
Ln
8.8·10−5
Thickness of negative electrode
Lp
8.0·10−5
Thickness of positive electrode
Ls
2.5·10−5
Thickness of separator
Rs,n
Radius of intercalation particles at negative electrode
Rsn
Rs,p
Radius of intercalation particles at positive electrode
Rsp
brugg
1.5
Bruggeman's constant
ce0
Initial concentration of Li in electrolyte
Ce0
cs,n,max
30555
Maximum concentration of Li at the anode
Csnmax
cs,p,max
51554
Maximum concentration of Li at the cathode
Cspmax
εf,n
0.0326
Volumetric fraction of negative electrode fillers
efn
εf,p
0.0250
Volumetric fraction of positive electrode fillers
efp
εn
0.485
Porosity of negative electrode
en
εp
0.385
Porosity of positive electrode
ep
εs
0.724
Porosity of separator electrode
es
kn
5.0307·10−11
molmolm332
Intercalation/deintercalation reaction-rate constant at the negative electrode
Kn
kp
2.334·10−11
Intercalation/deintercalation reaction-rate constant at the positive electrode
Kp
σn
Sm
Conductivity of solid phase of negative electrode
sigman
t+
0.363
LiOn transference number in the electrolyte
Tplus
Ede,n
Activation energy for electrolyte phase diffusion, De, of the negative electrode
Eden
Ede,p
Activation energy for electrolyte phase diffusion, De, of the positive electrode
Edep
Ede,s
Activation energy for electrolyte phase diffusion, De, of the separator
Edes
Eds,n
50000
Activation energy for solid phase Li diffusion coefficient, Ds, of the negative electrode
Edsn
Eds,p
25000
Activation energy for solid phase Li diffusion coefficient, Dp, of the positive electrode
Edsp
Ek,n
20000
Activation energy for ionic conductivity of electrolyte solution, κ, of the negative electrode
Ekn
Ek,p
Activation energy for ionic conductivity of electrolyte solution, κ, of the positive electrode
Ekp
Ek,s
Activation energy for ionic conductivity of electrolyte solution, κ, of the separator
Eks
[1] Newman, J. and William, T., Porous-electrode theory with battery applications, AIChE Journal, Vol. 21, No. 1, pp.25-41, 1975.
[2] Dao, T.-S., Vyasarayani, C.P., McPhee, J., Simplification and order reduction of lithium-ion battery model based on porous-electrode theory, Journal of Power Sources, Vol. 198, pp. 329-337, 2012.
[3] Subramanian,V.R., Boovaragavan,V., and Diwakar, V.D., Toward real-time simulation of physics based lithium-ion battery models, Electrochemical and Solid-State Letters, Vol. 10, No. 11, pp. A255-A260, 2007.
[4] Kumaresan, K., Sikha G., and White, R.E., Thermal model for a Li-ion cell, Journal of the Electrochemical Society, Vol. 155, No. 2, pp. A164-A171, 2008.
[5] Newman, J. and William, T., Porous-electrode theory with battery applications, AIChE Journal, Vol. 21, No. 1, pp.25-41, 1975.
[6] Viswanathan, V.V., Choi, D., Wang, D., Xu, W., Towne, S., Williford, R.E., Zhang, J.G., Liu, J., and Yang, Z., Effect of entropy change of lithium intercalation in cathodes and anodes on Li-ion battery thermal management, Journal of Power Sources, Vol. 195, No. 11, pp. 3720–3729, 2010.
See Also
Battery Library Overview
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