sibee - presentation impedance 2013 seminar
TRANSCRIPT
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Metrohm AutolabInstruments for Electrochemical Impedance Spectroscopy
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Outline
• The Autolab instrument• Cell connections and configurations• Basics of EIS
• Practical EIS• Data analysis• Applications
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The Instrument
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Instrumentation requirementsfor EIS
• PGSTAT• Impedance analyzer• Software for data acquisition and
analysis
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The instrument
Analog PGSTAT with USBconnection to Windows software
FRA32M impedance analyzer module with1 MHz – 10 µHz range with PGSTAT
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FRA32M Module
• Module for electrochemical impedancespectroscopy• 32 MHz to 10 µHz• 1 MHz to 10 μHz in combination
with the PGSTAT• DC range: up to 10 V
• Single sine and multi-sine
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FRA32M
• New impedance analyzer module• Replaces the FRA2• Works with Autolab PGSTAT series
• Not available for µAutolabIII
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FRA32M
• 32M stands for 32 MHz• !! MAXIMUM Frequency with
PGSTAT: 1 MHz !!• Future developments to raise the limit
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FRA32M
• Direct DSG output
20 MHz 32 MHz
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What happens above 1 MHz
• PGSTAT128N/FRA32M, 500 mV (top)Sharp decrease @ 700kHz
~80% attenuation @ 1 MHz
~99.9 % attenuation @ 10 MHz
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FRA32M
• Uses on-board DSP• Crunches 1 M per channel down to
4096 points• And finally down to 1• Much faster than FRA2• No filtering
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FRA2 vs FRA32M
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FRA2 vs FRA32M
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FRA32M: wrapping up
• Very advanced module• Expected product lifetime 10+ years• All procedures are compatible!
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The instrument
Analog PGSTAT with USBconnection to Windows software
FRA2 impedance analyzer modulewith 1 MHz – 10 µHz range
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FRA2 module specifications
• Frequency range from 1 MHz to 10 µHz• Applied Frequency Resolution of 0.003%• AC amplitude: 0.2mV to 0.35 V (RMS)• Input range of 10 V
• Max. frequency limited by PGSTAT
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Instrumental limitations
• Contour plot
Not possible to measureZ accurately at anyfrequency
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Cell connections
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Cell connections
• Autolab potentiostat / Galvanostat
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Cell connections
• PGSTAT provides 4connections
• CE and WE (currentmeasurement)
• RE and S (voltagemeasurement)
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Cell connections (2 electrodes)
2 electrode configuration precise control of theinterfacial potential is not critical
This configuration is often used in the characterizationof energy storage and energy conversion devices
Impedance measured between RE and S
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Cell connections (3 electrodes)
3 electrode configuration most common for typicalelectrochemical measurements
The RE in close proximity of WE to control the interfacialpotential accurately
Impedance measured between RE and S
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Cell connections (4 electrodes)
4 electrode configuration is used to study theliquid/liquid interface (two non-miscible electrolytes ortwo electrolytes separated by a membrane)
Impedance measured between RE and S
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Electrochemical cellWE/S
RECE
Electrochemical
interface
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Electrochemical interface• Interface
+ ++
+++
+
+
Electrode
e -
IHP OHP Diffusion layer1- 100 μm
Potential
IHP Inner Helmoltz plane: ion adsorbed onto metal surface
OHP Outer Helholtz plane: closest ions free to move within the electrolyte
Bulk Solution
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Equivalent circuit
• Electrochemical interface model
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Equivalent circuit
• Uncompensated resistance, Ru• Solution between RE and WE
• Concentration, cell setup, Temperature,conductivity, type of ions, mass transport,…
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Equivalent circuit
• Typical values:• up to 100 Ω (aqueous solution)
KCl 0.1 mol/L 20°C = 85.69 Ω • up to 10 k Ω (organic solvent)• Between 1m Ω to 1 Ω Batteries
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Equivalent circuit
• Double layer capacitance, Cdl• Diffuse interfacial capacitance
• Concentration, ions, electrode surface,adsorbed species, …
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Equivalent circuit
• Typical values:• Double layer bare metal 10-50 µF/cm 2
• Fe 2 O3 - Ni 2 O5 2 µF/cm2
• Al2O3 0.5 µF/cm 2 • Epoxy cast coating 6 pF/cm 2
• Asphalt coating 0.5 pF/cm 2Bernard Tribollet & Mark E. Orazem: Electrochemical Impedance Spectroscopy, Wiley-Interscience, 2008
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Equivalent circuit
• Charge transfer resistance, Rct• Polarization resistance
• Electron transfer kinetics, Temperature,electrode composition, morphology, …
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Equivalent circuit
• Typical values: whole measurable range( m Ω very fast kinetics up to G Ω slow
charge transfer)Silver 1.59 10 -8 Ωm, Copper 1.68 10 -8 ΩmSilicon 6.40 10 2 Ωm Glass10 10 to 10 14 Ωm
Teflon 1022
to 1024
Ωm
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Equivalent circuit
• Diffusion impedance, W (Warburg)• Related to semi infinite diffusion
• T, concentration, diffusion coefficients,viscosity, electrode area
• Typical values: depends on the system
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Electrochemical methods
• Large number of methods available• DC: cyclic voltammetry, chrono
amperometry, … • AC: electrochemical impedance
spectroscopy, …
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Advantage of DC methods
• Ex: cyclic voltammetry• Most popular technique in
electrochemistry• Provides a complete overview of the
electrochemical interface• Immediately recognizable
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Cyclic voltammetryPlatinum in HClO 4 0.1 M
Added EtOH
Anodic peaks attributedto the oxidation of EtOH
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Disadvantage of DC methods
• System is driven away from equilibrium• Response is given by Σ individual
contributions• Information about the rate determining
step can be determined• No information on the internal dynamics
of the system
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Disadvantage of DC methodsIron in sea waterNo direct information aboutelectrochemical interface
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Dummy cell case study
• Assuming a simple dummy cell
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Dummy cell case study
• CV staircase methodUsing Ohm’s law and a linearregression:Slope = 0.000142411/Slope = 7021.98 Ω ≈ 102 Ω + 2230 Ω + 4700 Ω (7032 Ω )
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Dummy cell case study
• EISUsing direct reading of datashown in the Nyquist plot, R1,R2 and R3 are immediatelyknownR1 = 106 Ω R2 = 4844.1 – 106=4738.1 Ω R3 = 7028.7 – 4844.1=2184.6 Ω
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Dummy cell case study
• EISUsing indirect reading ofdata shown in the Nyquistplot, C1, and C2 are easy tocalculate
C1 = 9.95 nF using R2C2 = 10.77 µF using R3
max1
R C
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Alternative: EIS
• Electrochemical impedancespectroscopy
‘Study of the variation of the impedanceof an electrochemical system with the
frequency of a small-amplitude ACperturbation’
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EIS Basics
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EIS Basics
• Ohm's law gives a simple relationbetweendc-potential (E) and dc-current (i):
I E R
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EIS Basics
• EIS is a transfer function betweenpotential and current
te e sin t ti i sin t Z(ω )
0
e sin t sin tZ Z
i sin t sin t
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EIS Basics
te e sin t
ti i sin t
The current responseleads or lags the voltageby a phase angle
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EIS Basics
When ac-signals are involved therelation is:
Z ( ω )=
where Z ( ω ) is the complex impedance.
ΔE ( ω )
ΔI ( ω )
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EIS Basics: complex number
• It is common practice to express Z asa complex function
j ( )0 0
Re Im
Z( ) Z e Z cos jsin
Z Z j Z
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EIS Basics: complex number
• Real components are located on theabscissa
• Imaginary components are located onthe ordinates
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EIS Basics: data presentation
• Nyquist plot• Plot of – Z” vs Z’, using iso -metric
axes
Z( ) Z'( ) j Z"( )
Total impedance Real componentImaginary component
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EIS Basics: data presentation
• Bode presentation• Plot of |Z| vs log F and Φ vs log F
j ( )Z( ) Z e
Total impedance Modulus
Phase angle
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EIS Basics: data presentation
• Bode presentation
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EIS Basics: data presentation
• 3D projection
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EIS Basics: data presentation
• 3D projection
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Circuit Element Review
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Ohm’s law holds at all frequencies for apure resistor
Z( ) R
0
Pure resistor (R)
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Ohm’s law holds at all frequencies for apure resistor
Typical examples: Ohmic resistance,
charge transfer resistance
There is no phase shift
Z( ) R
0
Pure resistor (R)
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Resistor
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Impedance (reactance) is frequencydependent
1Z( )
C
2
Pure capacitor (C)
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Capacitor
• Capacitor
• Typical examples: double layercapacitance, coating capacitance
C1 1Z j
j C C
90
phase shift
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Capacitor
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• Inductance
• Typical examples: instrumentalartifacts, adsorption phenomena
LZ j L
90
Inductance
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• Impedance of element in series =Σ impedance of elements
R C1
Z Z Z R j
C
RC, series
R Ci i i
R CE E E 1Z( ) R R
0
2
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RC, series
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RC, series
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1 1Z( )1CR
02
Impedance of element in parallel =1/R (1/impedance of elements)
R C
1 1 1 1 j CZ Z Z R
RZ
1 Rj C
RC, parallel
R Ci i i R CE E E
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RC, parallel
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Impedance vs admittance
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Φ0
Φ 0
Randles Cell – Electrochemical cell model
R Ω + Z f
RΩ
∞ > ZC dl > 0Capacitivecontribution
Pure resistive behavior,
no phase change.
Pure resistive behavior,
no phase change.
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Fmax
Randles Cell – Electrochemical cell model
R Ω + Z f
RΩ
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EIS back to Basics
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Linearity condition
• The applied AC amplitude must be
small so that the response of the cellcan be assumed to be linear (in 1 st approx)
• Important choice of the appliedamplitude
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Linearity condition
At fixed DC potential (or current), a small amplitude sinusoidal potential(or current) perturbation is applied. The response of the cell is a small
amplitude sinusoidal current (or potential)
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Linearity condition
All systems are nonlinear and the response
depends on the system
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Linearity condition
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Linearity conditionPotentiostatic or galvanostatic control?Z is independent of the m o d e
At what DC potential or current? Always at OCP?
Depends on the systemRequires knowledge of the system
What should the AC amplitude be?
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Linearity condition
• FAQ # 1
• How to choose the amplitude?• Small enough to stay linear• Big enough to measure a response
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Stability condition
• Corrosion of the electrode, adsorption
or formation of oxides, discharge ofthe device, changes in theelectrochemical interface, …
• Electrochemical system are unstable
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Stability condition
• Min. time for Z at 10 µHz: 10.000 s
• Scan from 1 kHz to 1 mHz, 61frequencies, log. distribution
• 2 h, 47 minutes (estimated)
• Scan from 1 MHz to 1 Hz, 61frequencies, log. Distribution• 7 minutes (estimated)
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Stability condition
• Duration
The experimentduration is dominatedby the low frequencies
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Avoiding traps
• Powerful method but not stand alone
• Knowledge of the system is required• 3 conditions must be respected• Instrument is not a black box
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What’s wrong with this picture?
Bit of scattering in the low frequency range?
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Measurement sequence
• Step 1: AC signal is applied on the cell
• Step 2: AC response is recorded• Step 3: signals are sent to the
impedance analyzer
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Measurement sequence
Raw signals (50 Hz contamination) Lissajous plot
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Measurement sequence
• FFT is computed for both signals
• Impedance is calculated fromfrequency domain data
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Measurement sequence
Fourier transformed signals (50 Hz)
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Nyquist and Bode plots
• Updated in the software
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Hidden information
• Nyquist and Bode plots do not show
all the information• The raw signals are insteresting to
consider
• Lissajous plots test the linearity
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Lissajous plotsPure R Pure C Real cell
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Lissajous plots
• Measurement of impedance
O
B
ADO
B
AD
OAVZ 1M
i OB
OD
sin 33OA
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Raw signals in resolutionThe raw data can beused to verify the dataquality in terms oflimit of detection
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Kramers-Kronig test
• Basic test for data validation
• Equations linking real and imaginarycomponents of complex quantities forsystems fulfilling the conditions of
linearity , causality and stability
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Kramers-Kronig test
• Diagnostic tool for impedance data
• Test the data for consistency• Recalculates the real/imaginary part
based on the measured imaginary/real
part
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Practical EIS: frequency scan
• Frequency range?
• Depends on the system’s time constants • 10 kHz to 100 mHz is a good start
(always high to low)• Above 10 kHz effects from cables,
reference electrode and connections
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Practical EIS: frequency scan
Wave type
Amplitude
Frequency scanproperties Frequency
distribution
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Practical EIS: frequency scan
• Direction: high to low frequency
Frequency scan is performed from high tolow frequency (stability condition)
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Practical EIS: frequency scan
X
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Practical EIS: frequency scan
• # frequencies and distribution:
10/decade and logarithmic• ! Duration: dominated by the low
frequency
• Alternative: multisine
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Multisine vs single sine
• Multisine: linear combination of
single sines5 sines signal,contain a basefrequency and 4
higher harmonics
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Multisine vs single sine
• Multisine: linear combination of
single sines15 sines signal,contain a basefrequency and 14
higher harmonics
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Multisine vs single sine
• 1000 Hz – 0.001 Hz, 61 Freq, single:
2h, 47 min• 1000 Hz – 0.001 Hz, 13 Freq, 5 sine:
50 min
• 37 min with 15 sines• Faster but less accurate!
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Data analysis
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Data analysis• Analysis: crucial part of the EIS
• Different tools are available• Difficult and time consuming• Pitfall: extract too much information
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Analysis tools• Find circle (quick fit): used to quickly
fit a semi-circle in the Nyquist• Provides a quick estimate using a
R(RQ) circuit
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Analysis tools• Find circle (quick fit)
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Analysis tools• Find circle (quick fit)
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Analysis tools• Circuit description based on
B.A.Boukamp:• Solid state Ionics 20 (1986) 31-44 &
Solid State Ionics 18&19 (1986)
136-140
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Analysis tools• Elements
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Analysis tools• Fitting tool comes with circuit editor
Elements can be connectedusing split and join elements
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Analysis tools
Initial conditions,boundaries, fixedparameters can beedited in the dedicated
panel
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Fitting progressIterative processSeveral iterationsrequired in order toreach convergence
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Report
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Problems with data fitting• Knowledge about the system is
required• EIS never to be considered as stand
alone!
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Practical examples
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Case 1 – coating on steelRE
CE
WE
Coating
Steel
NaCl
3 electrode setup
Z measuredbetween RE and WE
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Case 1 – coating on steel
Nyquist BodePure R
Pure C
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Case 1 – coating on steel• Interpretation?
RECE
WE
Coating
Steel
NaClRu
Cdl
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Case 1 – coating on steel
Poor fit
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Case 1 – problem?• Element Q
• Used to describe an imperfectbehaviour of a reactance
Q n
0
1Z
Y j
C j
ZC
n = 1 capacitorn = 0 resistorn = 0.5 uniform diffusion0.5 < n < 1 rough electrode0 < n < 0.5 porous electrode
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Case 1 – Element Q
Smooth electrode: C dl = C Rough electrode: C dl ≠ C Q
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Case 1 – Element Q
n ↑
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Case 1 – coating on steel
Good fit
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Case 2 – Partially blockedsurface
Electrode
Surface film Cdl
Re
Csf Rct
Electrolyte
ll bl k d
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Case 2 – Partially blockedsurface
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Case 3 – Coating revisitedRE
CE
WE
Coating
Steel
NaCl
3 electrode setup
Z measuredbetween RE and WE
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Case 3 – Coating revisited
Nyquist BodePure R
Pure C
Two semi-circles
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Case 3 – Coating revisited• Fitting?
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Case 3 – Coating revisited• Knowledge of the system is required
• Not the same coating as case 1• What would happen if the coating
fails?
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Case 3 – Failing coatingRE
CE
WE
Coating
Steel
NaClRu
Cdl
Pores
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Case 3 – Failing coating
Coating + pores
Steel
Ru
Cdl
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Case 3 – Failing coating• Fit result
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Case 3 – Failing coating• Knowledge of the system is required
when fitting the data
C 4 C ti ith
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Case 4 – Coating withblisters
Electrode
Surface film
Blister with electrolyte
Cdl
Re
Rct
Rep
Csf Z
wa
Electrolyte
C 4 C ti g ith
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Case 4 – Coating withblisters
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Case 5 – Two layer coating
Electrode
Surface film 2 Cdl
Re
Rct
Rsf2
Csf2
Rsf1
Csf1
Surfacefilm 1
Electrolyte
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Case 5 – Two layer coating
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Case 6 – Mass transfer• Semi infinite diffusion
Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-
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Case 6 – Mass transfer• Warburg diffusion element, W
• |ZW’| = |ZW”| 45 °• - Φ = π /4
• W depends on the concentration,
diffusion coefficient and temperature
WZ j 2 2
O O R R
RT 1 1n F A 2 D C D C
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Case 6 – Mass transfer• Semi infinite diffusion
Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-
Semi-infinite diffusioncontribution
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Case 7 – Forced convection• Finite diffusion
Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-
Hydrodynamic conditions
Angle of 45°Indication of semi-infinite diffusion
Falls off towards afinite impedance
Case 7 Mass transfer
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Case 7 – Mass transfer
through a thin layer, a coating• Finite diffusion layer
• O element
O0
1Z tanh B j
Y j
O W0
1Z Z
Y j
Typically used for:- Diffusion through thin layer- Ion selective electrodes- Diffusion through a coating
O element is identical to Wwhen tanh argument > π
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Red O 2Blue Air
Case 7 – Fuel Cell
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Air O 2
Case 7 – Fuel Cell
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Case 7 – Forced convection
• Finite diffusion layer
• O element
BD
1/3 1/6
RDE
1.61 D For a rotating disc
electrode
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Case 7 – Forced convection
• Finite diffusion
Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-
Finite diffusion contribution
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Case 7 – Forced convection
• Variation of rotation rate
Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-
At higher rotation rates diffusion layer thickness,δ decreases ZO decreases
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Case 7 – Forced convection
• Variation of rotation rate
Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-
600RPM 1200RPM 2400RPMB B B
O O O
600RPM 1200RPM 2400RPMY Y Y
O
0
1Z tanh B j
Y j
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Case 8 – Bounded diffusion
• Tangent hyperbolic diffusion
• Impedance of finite-length diffusionwith reflective boundary• Typical of film with electro-active
species, porous electrodes, Li Batteries ω jBthω jYωY 0
→
( ) [ ]ωω
ω→
j B j Y
Z coth1
=0
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Case 8 – Bounded diffusion
• Tangent hyperbolic diffusion• B = time (second) take for a reactant to
diffuse from one side of the layer to theother.
• Thickness of the thin layer δ
• Diffusion coefficient DD
B δ
=
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Case 8 – Bounded diffusion
• Tangent hyperbolic diffusion
>45 °
“T” element
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Case 8 – Bounded diffusion
• Tangent hyperbolic diffusion
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Case 9 – Gerischer impedance
• Chemical reaction in bulk solution
• Model for porous electrodes• Lithium batteries
j k Y Z
0
1
jωkYωY 0
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Case 9 – Gerischer impedance
• Model for porous electrodes
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Case 9 – Gerischer impedance
• Li-Thionyl battery
Summary of mass transport
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W, semi-infinitelinear diffusion
O, finite-length diffusion
T, bounded Warburg,linear finite diffusion
G, bulk chemical reaction
Summary of mass transport
elements
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WT= Zinc – Air battery
W 45 0
T>45 0
d
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Case 10 Inductance
Z = j ω L
• High frequencies inductance
• Low frequencies inductance
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L f i I d
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Low frequencies Inductance
• Adsorption process at electrode surface,surface reaction or chemical modification
L f i I d
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Low frequencies Inductance
• Adsorption process at electrode surface,surface reaction or chemical modification
C 11 Bi 2
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Case 11 Bisquert2
• Transmission line element
• Model for a porous or mixed-phase
electrode of thickness L
C 11 Bi 2
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Case 11 Bisquert2
XX
X1 X X1 X
X 3
X
X 3
X
X2
X1 X X1 X
X 3
X
X 3
X
X2 X2
C 11 Bi 2
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Case 11 Bisquert2
L
anh L L Z B cotsinh
2XX
21
2
2
2
1
21
212
21
3X Where λ is given by
C 11 Bi t2
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Case 11 Bisquert2
• DSSC V@MaxPP
C 11 Bi t2
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Case 11 Bisquert2
• DSSC V@ OCP
S f ll l t
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Summary of all elements
• Resistance R R
• Capacitance C C
• Inductance L L
• Constant Phase element Q Y 0 and n
S f ll l t
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Summary of all elements
• Warburg diffusion W Y 0
• Finite diffusion O Y 0 and B
• Bound diffusion T Y 0 and B
• Gerischer impedance G Y 0 and Ka
S f ll l t
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Summary of all elements
• Transmission line B 2
R1 Q1 n1, R2 Q2 n2, R3 Q3 n3, L
If R or Q is “0” means that is not available
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Summary
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Summary
• Potentiostat setting
• FRA setting
Summary Potentiostat setting
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y g
• OCP?
• Potentiostat or Galvanostat?
• Fix DC potential (current) or potentialscan?
Potential scan
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Intercept gives Flat Band Potential
Slope gives number
of dopants.
• Potential Scan: Mott Schottky plot of asemiconductor
Summary FRA setting
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• Frequency range?
• Amplitude value?
• Single sine or Multi sine?
Example of frequency range:
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1MHz -100mHz
Example of frequency range:
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10KHz -1mHz
Summary FRA setting
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Amplitude value?
Summary FRA setting
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Amplitude value?
Δ 50 mV = 42.1 µA
Δ 10 mV = 6.4 µA
Summary FRA setting
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Δ 200mV = 0.39 µA
Δ 100mV = 0.18 µA
Amplitude value?
Summary FRA setting
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Z=1 GOhm10 mV leads to I=10 pA!!
• Amplitude value?
Take home message
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Take home message
• Modern electrochemicalinstrumentation and software allowseasy and fast data acquisition
• Powerful data handling and analysistools are available
• Data analysis remains a difficult task
High current density
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g y
measurementControl of programmable electronic loadsor power supplies for high current or
high voltage measurements
PEM fuel cell stack at 200 ADC current
DSSC devices measurements
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IMPS and IMVS measurement on
photovoltaic device through modulation
of light intensity
DSC IMVS measurement at 625 nm,OCP, E = 1.652 mW/cm2, DE = 10 %
DSSC devices measurements
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DSSC charge transfer TiO 2 /dye/electrolyteDiffusion process of I - /I 3
-
DSSC devices measurements
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DSSC charge transfer TiO 2 /dye/electrolyteDiffusion process of I - /I 3
-
Monitoring of impedance in
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g pfunction of time
Fuel cell measurement, Z measured for1800 seconds
Battery (LiPo)
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Battery (LiPo)
Take home message
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Take home message
! System knowledge is always required
! Impedance cannot be considered as astand alone! Careful attention to the data
acquisition settings
EIS only one form of many
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EIS only one form of many
• Electrochemical impedancespectroscopy one form of impedance
• Rotation rate, mass, temperature,light intensity, charge, etc…
References
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References
Evgenij Barsoukov & J. Ross Macdonald: ImpedanceSpectroscopy: Theory, Experiment, and Applications,Wiley-Interscience, 2005
The reference handbook on impedancespectroscopy
References
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References
Bernard Tribollet & Mark E. Orazem: ElectrochemicalImpedance Spectroscopy, Wiley-Interscience, 2008
Good reference book, specificallyfocussed on ElectrochemicalImpedance Spectroscopy
References
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References
Allen J. Bard and Larry R. Faulkner,Electrochemical Methods: Fundamentals andApplications, Wiley, 2001
The reference handbook onelectrochemistry, also coversimpedance spectroscopy
www.metrohm-autolab.com
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www.metrohm autolab.com
Service and Support
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Service and Support
• All instruments covered by 3 yearsfactory warranty