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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

Description

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: Li1yCoO2+yLi++yeLiCoO2

Anode: LiyC6C6+yLi++ye

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:

cst=Dsr2rr2csr

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:

εcet=xDeffcex+a1+t+j

where

  

ε is the volume fraction,

  

Deff is the Li+ diffusion coefficient in the electrolyte,

  

a=3Rs1εεf  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:

σeffⅆ2ⅆx2Φs=aFj

In the electrolyte phase, the electrical potential is described by combining Kirchhoff’s law and Ohm’s law:

σeffΦsxκeffΦex+2κeffRTF1t+lncex=J

where

  

σeff=σ1εεeff 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=kcs,maxcs,surf0.5cs,surf0.5ce0.5exp0.5FμRTexp−0.5FμRT

where

  

k is the reaction rate constant,

  

μ=ΦsΦeU 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=1sRs3

where

  

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=Cmaxsoh

where

  

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=AeexpEaRT

dsdt={kcM1+ksDdiffρseicharging0otherwise

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

mcellcpdTcelldt=PcellQcell

Qflow=ncellQcell

Pcell=icell2Rcell+icellTcelldUpdTdUndT+icellμpμn

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=hAcellTcellTamb

Arrhenius equations

For all thermal models, the Arrhenius equations model the effect of cell temperature on the chemical reaction.

Ds,x=Ds,x,refexpEdx,pR1Tref1Tcell

Deff,x=DeεxbruggexpEde,xR1Tref1Tcell

with xp,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.

Variables

Name

Units

Description

Modelica ID

Tcell

K

Internal temperature of battery

Tcell

i

A

Current into battery

i

v

V

Voltage across battery

v

Connections

Name

Type

Description

Modelica ID

p

Electrical

Positive pin

p

n

Electrical

Negative pin

n

soh

Real output

State of health [0..1]; available when include degradation effects is enabled

soh

SOC

Real output

State of charge [0..1]

SOC

Cin

Real input

Sets capacity of cell, in ampere hours; available when use capacity input is true

Cin

Rin

Real input

Sets resistance of cell, in Ohms; available when use resistance input is true

Rin

Tout

Real output

Temperature of cell, in Kelvin; available with convection heat model

Tout

heatPort

Thermal

Thermal connection; available with external port heat model

heatPort

Electrode Chemistry Parameters

Name

Default

Units

Description

Modelica ID

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 JmolK.

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 JmolK.

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

Lithium Manganese Oxide

 

Lⅈ1.156Mn1.844O4

Lithium Manganese Oxide

 

LⅈNⅈ0.8Co0.15Al0.05O2

Lithium Nickel Cobalt Aluminum Oxide

NCA

LⅈNⅈ0.8Co0.2O2

Lithium Nickel Cobalt Oxide

 

LⅈNⅈ0.7Co0.3O2

Lithium Nickel Cobalt Oxide

 

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

Chemical composition

Chemical name

Common name

LⅈC6

Lithium Carbide

Graphite

LⅈTⅈO2

Lithium Titanium Oxide

 

Lⅈ2Tⅈ5O12

Lithium Titanate

LTO

Degradation Parameters

Name

Default

Units

Description

Modelica ID

Ae

1.2

ms

Factor for reaction rate equation

Ae

D0

1.8·10−19

m2s

Diffusion coefficient at standard conditions

D0

Ea

10000

Jmol

Activation energy

Ea

M

0.026

kgmol

Molar mass of SEI layer

M

Rs

2·10−6

m

Radius of particles of active material in anode

Rs

SoH0

1

 

Initial state-of-health: 0SoH01

SoH0

c

5000

molm3

Molar concentration of electrolyte

c

κ

0.001

mΩ

Specific conductivity coefficient

kappa

ρsei

2600

kgm3

Density of SEI layer

rho_sei

Basic Parameters

Name

Default

Units

Description

Modelica ID

Ncell

1

 

Number of cells, connected in series

ncell

CA

1

A·h

Capacity of cell; available when use capacity input is false

C

SOC0

1

 

Initial state-of-charge [0..1]

SOC0

SOCmin

0.01

 

Minimum allowable state-of-charge

SOCmin

Rcell

0.005

Ω

Series resistance of each cell; available when use cell resistance input is false

Rcell

Basic Thermal Parameters

Name

Default

Units

Description

Modelica ID

Tiso

298.15

K

Constant cell temperature; used with isothermal heat model

Tiso

cp

750

JkgK

Specific heat capacity of cell

cp

mcell

0.55

kg

Mass of one cell

mcell

h

100

Wm2K

Surface coefficient of heat transfer; used with convection heat model

h

Acell

0.0085

m2

Surface area of one cell; used with convection heat model

Acell

Tamb

298.15

K

Ambient temperature; used with convection heat model

Tamb

Detailed Parameters

Name

Default

Units

Description

Modelica ID

De

7.5·10−11

m2s

Electrolyte diffusion coefficient

De

Ds,n,ref

3.9·10−14

m2s

Lithium-ion diffusion coefficient in the intercalation particles of the negative electrode

Dsnref

Ds,p,ref

1.0·10−14

m2s

Lithium-ion diffusion coefficient in the intercalation particles of the positive electrode

Dspref

Ln

8.8·10−5

m

Thickness of negative electrode

Ln

Lp

8.0·10−5

m

Thickness of positive electrode

Lp

Ls

2.5·10−5

m

Thickness of separator

Ls

Rs,n

2·10−6

m

Radius of intercalation particles at negative electrode

Rsn

Rs,p

2·10−6

m

Radius of intercalation particles at positive electrode

Rsp

brugg

1.5

 

Bruggeman's constant

brugg

ce0

5000

molm3

Initial concentration of Li in electrolyte

Ce0

cs,n,max

30555

molm3

Maximum concentration of Li at the anode

Csnmax

cs,p,max

51554

molm3

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

molmolm332

Intercalation/deintercalation reaction-rate constant at the positive electrode

Kp

σn

100

Sm

Conductivity of solid phase of negative electrode

sigman

t+

0.363

 

LiOn transference number in the electrolyte

Tplus

Detailed Thermal Parameters

Name

Default

Units

Description

Modelica ID

Ede,n

10000

Jmol

Activation energy for electrolyte phase diffusion, De, of the negative electrode

Eden

Ede,p

10000

Jmol

Activation energy for electrolyte phase diffusion, De, of the positive electrode

Edep

Ede,s

10000

Jmol

Activation energy for electrolyte phase diffusion, De, of the separator

Edes

Eds,n

50000

Jmol

Activation energy for solid phase Li diffusion coefficient, Ds, of the negative electrode

Edsn

Eds,p

25000

Jmol

Activation energy for solid phase Li diffusion coefficient, Dp, of the positive electrode

Edsp

Ek,n

20000

Jmol

Activation energy for ionic conductivity of electrolyte solution, κ, of the negative electrode

Ekn

Ek,p

20000

Jmol

Activation energy for ionic conductivity of electrolyte solution, κ, of the positive electrode

Ekp

Ek,s

20000

Jmol

Activation energy for ionic conductivity of electrolyte solution, κ, of the separator

Eks

References

  

[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