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Useful Quantities and Diagram Types for Diagnosis and Monitoring of Electrochemical Energy Converters Using Impedance Spectroscopy: State-of-the-Art, Review and Outlook

A peer-reviewed version of this preprint was published in:
Batteries 2024, 10(6), 177. https://doi.org/10.3390/batteries10060177

Submitted:

16 April 2024

Posted:

17 April 2024

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Abstract
The current state-of-the-art does not provide a universal and rapid method of determining the state of health (SOH) of a battery or a supercapacitor without carefully examining the degradation of hundreds of full charge/discharge cycles. Lithium-ion batteries, sodium-ion batteries and supercapacitors of different cell chemistries were studied by impedance spectroscopy during lifetime tests. Faradaic and capacitive charge storage are distinguished by the relationships between stored electric charge and capacitance. For batteries, impedance spectroscopy is best applicable in the flat region of the voltage-charge curve. An approximately linear correlation between pseudocapacitance and Ah capacity is observed as long as overcharge and deep discharge are avoided. The correct calculation of quantities related to complex impedance and differential capacitance is outlined – which may also be useful as an introductory text and tutorial for newcomers to the field. Novel diagram types are proposed for the purpose of instant performance and failure diagnosis of batteries and supercapacitors.
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1. Introduction

In-time failure diagnosis and the reliable indication of the correct state of charge (SOC) and state of health (SOH) of electrochemical energy storage devices are still challenges for battery management systems. The current state-of-the-art of life-span prediction is mostly based on cell voltage monitoring or Ampere-hour counting and carefully examining the degradation of hundreds of full charge/discharge cycles. Currently, there is no simple and quick method to determine the actual SOC regardless of the age of the battery. Still it is fundamentally unclear when a battery is sufficiently full during charging without going into overcharge, and when exhaustion is imminent during discharging. Various internal and external faults can occur during the operation in stationary and mobile applications, leading to performance loss and thermal runaway.

1.1. Scope of This Study

With respect to outline more general insights into the diagnosis of different electrochemical energy converters, the concept of impedance spectroscopy [1] is verified at the examples of lithium-ion batteries and supercapacitors during longtime tests. We measured hundreds of lithium-ion batteries with different cell chemistries and wondered what might be a simple criterion for "full" and "empty" without performing a full charge-discharge cycle each time and risking overcharge or deep discharge of the cell. The actual SOC and SOH of lithium-ion batteries are often unclear after long periods of rest without power or after high-power discharge.
By comparing faradaic and capacitive energy storage, questions arise such as: How does pseudocapacitance reflect the available electric charge? What impedance-derived quantity gives the best information on aging, state-of-health and failure diagnosis? What early indicators show thermal overload and critical overcharge in the impedance spectrum of “healthy” batteries? What is the deep electrochemical information of resistance and capacitance during life time testing? This paper aims to provide answers.

1.2. Practical Background

In the aviation sector, fast charging of batteries is usually not permitted. Even if the battery is fully charged, it cannot guarantee that it has enough capacity to last for 15 minutes under full load during an emergency. Because of the high demands on the reliability of emergency power supplies in aircrafts, planned take-offs can be delayed. After parking, the state-of-charge (SOC) of aircraft batteries drops because of self-discharge. Diagnosis measures, capacity determination and recharging of a 2-Ah battery using the constant current discharge method roughly take 1.5 to 2 h according to the state-of-the-art in air traffic. Short maintenance intervals require a reliable method for fast battery diagnosis that reflects at least the upper SOC range.
The cell voltage provides limited information about the remaining capacity and state of health (SOH) of the battery, which is assessed every 6 months during maintenance. Predicting the remaining useful life (RUL) is challenging due to a kink or knee in the degradation curve. As battery replacement is costly and logistically challenging in remote areas, direct measurement of degradation is preferred.
Lithium iron phosphate (LFP) is known to be less sensitive to thermal runaway and fire in the event of overcharging and overheating than cobalt-based systems (LCO, NMC, NCA) and manganese spinel (LMO). In the olivine lattice Li1-xFePO4, lithium ions migrate through the linear channels. The LFP material is readily available, strategically uncritical and almost not harmful. Unfortunately, the cell voltage of 3.6 V is lower than the 4.2 V of most other lithium technologies. The capacity is prone to degradation if long periods of time are operated either in the upper or lower potential range and at low temperatures.
Supercapacitors are considered for emergency power supplies [2,3]. Impedance measurements help to understand the difference between capacitance C and the differential capacity of a battery, dQ/dU, which is the first derivative of the charge-discharge curve Q(U) [4].

4. Battery State Indicators and Cell Diagnosis

4.1. Correlation of Electric Charge and Impedance

The state-of-charge (SOC = Q/QN) [23,24] describes the relationship between the currently available electric charge (capacity) and the rated capacity QN of the new battery. SOC =100% represents the full charge, and SOC = 0 is the empty battery.
For SOC determination [25,26,27], voltage measurements [28,29,30,31] have been common practice since the 1930s, but accuracy is poor for flat voltage curves such as the LiFePO4 system. Moreover, lithium-ion batteries are not allowed to be discharged below the cut-off voltage.
Impedance spectroscopy [32,33,34,35,36], coulomb counting, bookkeeping methods and look-up tables have been established since the mid-1970s. Unfortunately, the impedance method does not provide Ah-capacities because pseudocapacitance is a differential quantity.
C = d Q d U               Q = 0 Δ U C U   d U
U(t) is the cell voltage at time t of the impedance measurement. The frequency-dependent pseudocharge Q(ω,t) is only a qualitative measure for the instantaneous electrical charge because there is a scaling factor between true battery capacity Q [37] and pseudocharge.

4.2. Failure Analysis Using Impedance Spectroscopy

The state-of-health (SOH = Q0/QN) considers the capacity loss using the remaining capacity in fully charged, aged batteries Q0 in relation to the nominal capacity QN of the new battery. At present, there is still no universal method of precisely determining the usable capacity of a battery without completely discharging the battery.
Impedance spectroscopy displays changes in the resistance and capacitance of a battery, which strongly depend on the operating conditions [38], lithium plating, short circuit, overcharge, deep discharge, phase changes, and thermal runaway.
The degradation of a Li-ion cell depends on how the cell is used during its lifetime and stressed by extrinsic factors (time, temperature, SoC level, C rate, DoD, mechanical stress) [39].
There is no clear consensus in the literature as to whether it is better to use resistance or reactance to estimate battery life.
The electrolyte resistance measured at high frequencies (> 1 kHz) does not decrease strictly linearly with rising temperature. Internal short circuits by mechanical deformations cause a drop in ohmic resistance at frequencies above 100 Hz [40]. Re can be used a measure for the SOH [41].
The ohmic resistance at medium frequencies, for instance R(1 Hz) or R(0.1 Hz), is often correlated with battery capacity and the SOH [42,43,44]. However, the resistance reflects the growth of the passive layer (SEI) and the decomposition of the electrolyte rather than the actual available capacity. In the complex plane, one or two depressed semicircles are visible (see section 6.4). The low-frequency region (< 0.1 Hz), which represents the diffusion processes at the two electrodes, is often neglected because of the longer time required to measure impedance at low frequencies.
Pseudocapacitance reflects the storage properties of the cell whereas resistance shows the kinetic inhibitions. In a C(R) plot, the healthiest operating state is characterized by the curve at lowest resistance and highest capacitance (Kurzweil [1,12]).
The phase shift [45] rises abruptly seconds before the upcoming cell venting and the thermal runaway some minutes later, although cell voltage remains constant [46].

4.3. Correlation of Impedance and Current-Voltage Characteristics

Electrochemical cells exhibit more or less non-linear current-voltage characteristics. Therefore, the real part of impedance at low frequencies, which is the approximate DC resistance R, reflects the slope (tangent) of the current-voltage characteristics at the given stationary operating point of the cell.
R ω 0 = d U d I U I
Pseudocapacitance C determined by impedance spectroscopy, reflects the slope of the charge-voltage curve, which represents the approximate ratio of capacity change to voltage change. Differential capacity dQ/dU from charge–discharge curves and pseudocapacitance at low frequencies from impedance spectra at the same voltage are equivalent [47]. To avoid numerical problems, the dQ/dU (capacitance) is best calculated from charge-discharge curves as the reciprocal of the differential voltage [48]. Equation (19) qualitatively explains this relationship between capacitance and resistance as the state-of-charge changes.
C ( ω 0 ) = d Q d U = d U d Q 1 = d R d t 1
The unit of dQ/dU is Farad: F = C/V = As V-1. Therefore, the symbol C is used for an electrical capacitance, which must not be confused with the electrical charge (capacity Q).
The term ‘differential capacity analysis’ appeared around the year 2000, for the first derivative of the galvanostatic curve, U(Q). However, it is difficult to quantitatively compare C(ω) from impedance measurements with ‘incremental capacity’ dQ/dU and its reciprocal dU/dQ described by Bloom [49], Dubarry [50], Dahn [51] and Smith [52].Unfortunately, differential curves are very noisy, so that previous smoothing of the data is required.
Different cell chemistries of lithium-ion batteries show qualitatively the same results, although SOC and available charge do not change linearly with voltage. SOC and SOH are not clearly related to differential capacity. dQ/dU from constant-current (chronopotentiometric) curves yields the following information [46]:
Differential capacity dQ/dU peaks occur where the U(Q) curve is flat, when the battery reaches a phase equilibrium of coexisting phases with different lithium concentrations (ΔU → 0) and cell voltage is constant (Bloom [47].)
dU/dQ peaks reflect phase transitions, and occur at “almost empty” and “almost, when a constant current can no longer be fed into or drawn from the cell (ΔI → 0). A steep increase of ‘differential voltage’ indicates overcharge and deep discharge, where the differential capacity is small. The distance between two inflection points of the differential voltage curve is proportional to battery capacity and can be used for SOH estimation [53].
Capacitance C (slope of the Q(U) curve) is small and resistance R (slope of the U(Q) curve) is great when the battery is depleted or overcharged. dQ/dU and dU/dQ intersect at a point below the upper limit voltage, which is located at the kink point near full charge [54].

5. Application Example: Lithium-Ion Battery

Which quantity derived from impedance spectra best indicates the state of charge of a battery? Figure 4 compares resistance, reactance and capacitance at a fixed frequency of 0.1 Hz. It can be seen that the internal resistance of the battery (real part of the impedance) increases linearly with increasing aging. The electrolyte correction is of little use. Instead of R, the dissipation D or the conductance G can be used.
The imaginary part of the impedance and the phase shift do not correlate strictly with the state of charge. The best full-charge indication is the pseudocapacitance C(0.1 Hz) corrected by the electrolyte resistance, which is intuitively understood from the correlation between available charge and capacitance (Q = CU). The series capacitance CS according to the approximation in equation 6 is of little use. Additionally, the correlation between SOH and impedance modulus, dissipation, and time constant is poor.
Figure 5 shows the resistance and capacitance of a lithium-ion battery during a cycle life test. The lower the frequency of the excitation signal, the clearer the approximately linear relationship between capacitance and SOC. C(0.1 Hz) takes longer to measure than C(0.33 Hz), which works just as well. Dielectric losses can also be used, but capacitance C retains its relationship with SOC better than dissipation D over the life of the battery.
The quotient of pseudo-capacitance and dissipation reflects the ratio of reactance and resistance (at frequency ω). Both quantities are inextricably linked to the SOC. When calculating C and D, it is useful to correct for the electrolyte resistance to improve the charge indication.
C ( ω ) D ( ω ) = X ( ω ) R ( ω )

5. Application Example: Sodium-Ion Battery

Figure 6 presents a comprehensive overview of the diagrams and calculation methods described, using the example of a sodium-ion battery with a capacity of 1.1 Ah. The new battery was initially characterized using impedance spectroscopy.
During discharge, the diameters of the locus curve arcs increase while the pseudocapacitance decreases. The dissipation D is calculated as the imaginary part of complex capacitance and indicates best the state of charge at low SOC, while the pseudocapacitance C increases linearly at full charge (SOC > 85%). However, the linearity of C(SOC) is worse than with lithium-ion batteries.
The battery capacity Q was determined by constant current discharge (Ah counting) and is dependent on both temperature and load current. The discharge curve allows to calculate the differential capacity (incremental capacity, dQ/dU) and incremental voltage (dU/dQ), which are equal at approximately 2.8 V cell voltage. At this voltage, the discharge curve exhibits a local plateau before the battery is fully discharged and exhausted.
The sodium-ion battery exhibits good stability over several hundred charge-discharge cycles (from SOC 100% to 80%). The nearly constant electrical charge (battery capacity) correlates with the pseudocapacitance and polarization resistance. After 3600 cycles, capacity drops to SOH = 98%.

6. Discussion and Conclusions

Prior art methods for SOC monitoring require Ampere hour counting during a complete discharge. The cell voltage is an uncertain measure of the ‘true’ electric charge. There is a significant linear correlation between pseudocapacitance and remaining capacity for the main types of lithium-ion batteries.

6.1. Evaluation of Impedance Spectra without Model Assumptions

The commonly used adaptation of complex plane curves to electrotechnical equivalent circuit diagrams is unsuitable if the electrochemistry changes due to ageing processes. Additionally, there is no guarantee that the selected equivalent circuit diagram will accurately represent the electrode processes and continue to do so in the future. Therefore, it is advisable to evaluate the impedance spectrum without a predefined model by subtracting the electrolyte resistance and the double-layer capacitance step by step and further decomposing the remaining pseudocapacitance (refer to section 3.2).

6.2. SOC and SOH Monitoring

The prediction of state of charge (SOC) and state of health (SOH) requires a quantity that can linearly map the charge state over a large measuring range. The Nyquist plot can have different courses even for the same battery chemistry, which raises the question of which physical variable can be meaningfully evaluated for SOC monitoring. Both the real and imaginary parts of impedance are affected by the state of charge, with resistance dropping and capacitance increasing as SOC increases.
The linear relationship between the pseudocapacitance and the SOC is best at frequencies below 1 Hz. A quadratic model is also possible: SOC = aC2 + bC + c. The predicted SOC values that are good enough to estimate whether a battery of the same type and manufacturer is full, three quarter full, half-full, quarter full or empty.
Capacitance does not necessarily have to be measured down to extremely low frequencies. C(0.1 Hz) covers a part of the mass transport limited charge transfer reaction that is proportional to the genuine charge storage process by lithium ion intercalation at very low frequencies. The linear trend gets better if the SOC range is considered up to 98% (instead of 100%), because overcharge phenomena occur at full charge.
The electrolyte resistance is not useful for determining the SOC, but it is useful as an aging indicator for SOH monitoring. Therefore, the measured real parts are corrected by subtracting Re (real part at high frequency, where X = 0). The linearity between pseudo-capacitance and electric charge is improved, when the electrolyte resistance is corrected. Overcharging disrupts the linear trend between capacitance and SOC. The abrupt increase in capacitance at SOC = 1, however, could be used to indicate that the battery is fully charged before there is a risk of overcharging.

6.3. Correlation of Pseudocapacitace and Battery Capacity

The capacity of a battery, measured as the stored residual electric charge Q, is expected to correlate with the pseudocapacitance (differential capacitance), defined as C = dQ/dU.
Unfortunately, there is no direct quantitative relation between pseudocapacitance and electric charge. Pseudocapacitance C(ω) combines information about resistance, reactance, and frequency.

6.4. Impact of Aging

The internal resistance of a lithium-ion battery increases until the end of service life is reached. The electrolyte resistance is not a good SOH indicator. As SEI formation progresses, the electrolyte resistance increases until two arcs appear in the impedance spectrum (see Figure 7). Sometimes new batteries show an apparent improvement in resistance for the first hundred cycles (due to SEI formation) before the undesirable aging processes begin.
Pseudocapacitance, however, can correctly reflect the state of health of a battery even if the shape of the impedance spectra changes significantly during cycle aging. For combined SOC and SOH measurements, the pseudocapacitance is still appropriate. It is useful to normalize C(ω) to the fully charged battery (SOC = 1) or the new battery (SOH = 1).

6.5. Impact of Cell Chemistry

The impedance spectra (Figure 7) show three regions which are affected by aging:
1. Electrolyte and solid-electrolyte interface (SEI) at high frequencies,
2. charge-transfer at medium frequencies,
3. pore diffusion and intercalation at low frequencies.
Depending on the cell chemistry, the resistance in the three regions increases due to electrolyte decomposition, SEI growth, charge transfer slow down, and related aging effects(lithium dendrite formation, loss of anode materials, particle cracking on the cathode). Electrolyte decomposition can be associated to a shift to higher ohmic resistance. Anode degradation and SEI layer growth increase the first quartercircle in the mid-frequency region. Formation of a cathode electrolyte interface (CEI) and cathode particle cracking shift the second arc. An increase of the low frequency region shows cathode structural disordering (Jurilli [39]).
It is useful to subtract the electrolyte resistance (intersection with the real axis) to create a set of congruent curves, which are independent of contact and cable errors. and exclude the corrosion resistance of the current collectors. With the corrected real part, the modulus |Z)| and the pseudo-capacitance, C(ω) = –Im Z/(ω |Z|2), are calculated. The shape of diffusion impedance at low frequencies depends on whether the lithium-ion are mobile in linear channels (Li1-xFePO4), in areas of the layer lattice (Li1-xCoO2, NMC) or in the void spaces of a spinel (Li1-xMn2O4, LMO).
Further research is necessary to improve the impedance method so that steps in the voltage-capacity curve, and overcharging effects can be properly managed.

Author Contributions

Writing – Original Draft Preparation, Review & Editing, all authors.

Funding

This work was supported by Diehl Aerospace GmbH.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Basic graphical representations of impedance-related quantities for a simple equivalent circuit diagram in the frequency range of 1 mHz to 1 MHz. Mathematical convention. R = resistance, X = reactance, G = conductance, B = susceptance, C = capacitance, D = dissipation, |Z| = impedance modulus, φ = phase shift between voltage and current, τ = time constant. Solid lines (–––): simulated values for an ideal network. Dotted (⋅⋅⋅⋅⋅) : electric circuit with real resistors and capacitor.
Figure 1. Basic graphical representations of impedance-related quantities for a simple equivalent circuit diagram in the frequency range of 1 mHz to 1 MHz. Mathematical convention. R = resistance, X = reactance, G = conductance, B = susceptance, C = capacitance, D = dissipation, |Z| = impedance modulus, φ = phase shift between voltage and current, τ = time constant. Solid lines (–––): simulated values for an ideal network. Dotted (⋅⋅⋅⋅⋅) : electric circuit with real resistors and capacitor.
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Figure 2. Stepwise impedace sptrum analysis. (a) Impedance spectrum of a lead dioxide electrode (PbO2|Ti) in sulfuric acid at a current densitiy of 8.5 mA cm–2. (b) Pseudocapacitanc, corrected by the electrloyte reitance and the charge-transfer resistance. (c) Equivalent circuit derived from the stepwise analysis according to the equations 10 to 14: e = electrolyte, L = inner layer beetween titanium support and PbO2 active layer, D = double layer and charge transfer reaction, 0 = residal faradaic impedance.
Figure 2. Stepwise impedace sptrum analysis. (a) Impedance spectrum of a lead dioxide electrode (PbO2|Ti) in sulfuric acid at a current densitiy of 8.5 mA cm–2. (b) Pseudocapacitanc, corrected by the electrloyte reitance and the charge-transfer resistance. (c) Equivalent circuit derived from the stepwise analysis according to the equations 10 to 14: e = electrolyte, L = inner layer beetween titanium support and PbO2 active layer, D = double layer and charge transfer reaction, 0 = residal faradaic impedance.
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Figure 3. Accelerated aging test of a supercapacitor (Vinatech HyCap Neo, 10 F, 2.7 V). (a) Measured impedance in the frequency range between 0,1 Hz and 10 kHz in different diagranm types. Mathematical convention. R = resistance, X = reactance, G = conductance, B = susceptance, C = capacitance, D = dissipation, |Z| = impedance modulus, φ = phase shift, τ = time constant. (b) Equiavelent circuit: RS electrolyte, RD grain boundaries and charge-transfer, CD double-layer, ZW Warbug impedance, ZN Nerst diffusion impedance.
Figure 3. Accelerated aging test of a supercapacitor (Vinatech HyCap Neo, 10 F, 2.7 V). (a) Measured impedance in the frequency range between 0,1 Hz and 10 kHz in different diagranm types. Mathematical convention. R = resistance, X = reactance, G = conductance, B = susceptance, C = capacitance, D = dissipation, |Z| = impedance modulus, φ = phase shift, τ = time constant. (b) Equiavelent circuit: RS electrolyte, RD grain boundaries and charge-transfer, CD double-layer, ZW Warbug impedance, ZN Nerst diffusion impedance.
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Figure 4. Impedance data of a lithium-ion battery (LithiumWerks 26650 cell, LiFePO4, 3.3 V, 2.5 Ah) during life time testing. (a) Relative increase of ohmic resistance R(0.1 Hz) and impedance modulos Z(0.1 Hz) at different state of charge (SOC). (b) Relative change of reactance X(0.1 Hz) and phase shift φ(0.1 Hz). (c) Linear increase of pseudocapacitance C(0.1 Hz) when corrected by the electrolyte reistance. (d) Correlation of available electric charge (battery capacity) with cell resistance R(0.1 Hz) and pseudocapacitance C(0.1 Hz), corrected by the electrolyte resistance.
Figure 4. Impedance data of a lithium-ion battery (LithiumWerks 26650 cell, LiFePO4, 3.3 V, 2.5 Ah) during life time testing. (a) Relative increase of ohmic resistance R(0.1 Hz) and impedance modulos Z(0.1 Hz) at different state of charge (SOC). (b) Relative change of reactance X(0.1 Hz) and phase shift φ(0.1 Hz). (c) Linear increase of pseudocapacitance C(0.1 Hz) when corrected by the electrolyte reistance. (d) Correlation of available electric charge (battery capacity) with cell resistance R(0.1 Hz) and pseudocapacitance C(0.1 Hz), corrected by the electrolyte resistance.
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Figure 5. Life time test of a lithium-ion battery (LithiumWerks 26650 cell, LiFePO4, 3.3 V, 2.5 Ah). (a) Measured impedance of the battery at pre-defined frequencies in dependence of the state of charge (SOC). (b) Measured impedance at end of life. C = pseudocapacitance (corrected by the electrolyte resistance according to eq. 6), D = dissipation (corrected by the electrolyte resistance), R = cell resistance (real part of impedance).
Figure 5. Life time test of a lithium-ion battery (LithiumWerks 26650 cell, LiFePO4, 3.3 V, 2.5 Ah). (a) Measured impedance of the battery at pre-defined frequencies in dependence of the state of charge (SOC). (b) Measured impedance at end of life. C = pseudocapacitance (corrected by the electrolyte resistance according to eq. 6), D = dissipation (corrected by the electrolyte resistance), R = cell resistance (real part of impedance).
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Figure 6. Characterization of a sodium-ion battery (Shenzhen Mushang Electronics, NA18650-1250, 3.0 V, 1.25 Ah). (a) Impedance spectra in the complex plane at different state of charge. (b) Pseudocapacitance and cell resistance at different SOC. Electrolyte resistance corrected. (c) Pseudocapacitance C, dissipation D, and cell voltage U as SOC indicators. (d) Cell voltage versus capacity at different discarge currents at room temperarure. (e) Temperarure dependence of electric charge with reference to the rated capacity. (f) Example: Differential capacity (‘ICA’) and differential voltage (‘DVA’) along the constant-current discharge curve (U cell voltage). (g) Cycle life test: C pseudocapacitance (electrolyte resistance corrected), R cell resistance.
Figure 6. Characterization of a sodium-ion battery (Shenzhen Mushang Electronics, NA18650-1250, 3.0 V, 1.25 Ah). (a) Impedance spectra in the complex plane at different state of charge. (b) Pseudocapacitance and cell resistance at different SOC. Electrolyte resistance corrected. (c) Pseudocapacitance C, dissipation D, and cell voltage U as SOC indicators. (d) Cell voltage versus capacity at different discarge currents at room temperarure. (e) Temperarure dependence of electric charge with reference to the rated capacity. (f) Example: Differential capacity (‘ICA’) and differential voltage (‘DVA’) along the constant-current discharge curve (U cell voltage). (g) Cycle life test: C pseudocapacitance (electrolyte resistance corrected), R cell resistance.
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Figure 7. Change in impedance spectra during aging of an LCO battery (Panasonic UR18650 FK) at full charge (SOC = 1). There is an apparent improvement in internal resistance during the first hundred cycles before the battery undergoes normal aging over a thousand charge-discharge cycles.
Figure 7. Change in impedance spectra during aging of an LCO battery (Panasonic UR18650 FK) at full charge (SOC = 1). There is an apparent improvement in internal resistance during the first hundred cycles before the battery undergoes normal aging over a thousand charge-discharge cycles.
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Table 1. Definitition of complex quantities related to impedance in mathematical convention.
Table 1. Definitition of complex quantities related to impedance in mathematical convention.
Quantity Complex definition Real part
Active
component
Imaginary part
Reactive
component
Modulus
Apparent value
Unit
Impedance Z _ j ω = R e   Z _ + j   I m   Z _ R = R e   Z _ X = I m   Z _ Z = Z _ = R 2 + Z 2 = U I Ω
Admittance Y _ j ω = R e   Y _ + j   I m   Y _ = 1 Z _ j ω G = R e   Z _ Z _ 2 B = I m   Z _ Z _ 2 Y = Y _ = G 2 + B 2 = Z 1 Ω 1
Capacitance C _ j ω = R e   C _ + j   I m   C _ = Y _ j ω ω C = I m   Z _ ω Z _ 2 D = R e   Z _ ω Z _ 2 C _ = C 2 + D 2 = Y ω F
Relative
permittivity
ε _ r j ω = R e   ε r _ + j   I m   ε _ r = C _ j ω C 0 ε r = I m   Y _ ω C 0 ϱ = R e   Z _ ω C 0 ε _ r = ε r 2 + ϱ 2 = Y ω C 0
Power S _ j ω = U _ I _ * = U 2 Y _ * = j ω U 2 C _ * P = U 2 R e   Y _ Q = U 2 I m   Y _ S = S _ = P 2 + Q 2 = U 2 Y W = VA
Phase angle R e   Z _ = Z cos φ I m   Z _ = Z sin φ tan φ = I m   Z _ R e   Z _
Loss angle δ = 90 φ tan δ = I m   C _ R e   C _
U = RMS value of the AC voltage (V), I = RMS current (A), ω = 2π f circular frequency (s–1), f Frequency (Hz), R resistance, X reactance, G conductance, B susceptance, C capacitance, C0 = ε0A/d capacitance in vacuum (εr = 1), D dissipation.
Table 2. Common graphical represtations of complex impedance values (mathematical convention).
Table 2. Common graphical represtations of complex impedance values (mathematical convention).
Diagram Type Synonyms X axis Y axis Interpretation
abscissa ordinate Properties of the system under test
Nyquist plot [9] Complex plane plot
of impedance,
impedance locus
R = R e   Z _ X = I m   Z _ High frequency on the left, low frequency on the right. Electrolyte resistance is R(ω→∞) , internal resistance is R(ω → 0). Impedance is either inductive (X > 0) or capacitive (X < 0). The time constant τ = (2πfm)–1 of the process is found at the semicircle minimum. Warburg diffusion appears as a straight line.
Admittance
(see Table 1)
Complex plane plot
of admittance
G = R e   Y _ B = I m   Y _ Low frequency on the left, high frequency on the right. Conductance G (electrolyte and faradaic processes) and susceptance B (diffusion and adsorption). The Warburg impedance appears as a semicircle.
Cole-Cole plot [10] Complex plane plot
of permittivity
ε r = R e   ε r _ ϱ = I m   ε _ r Capacitive energy storage ( ε r > 0) and dielectric losses (ϱ > 0). Electrode distance and area is included.
Capacitance [11] Capacitance in the rotated
complex plane
D = G ω C = B ω Double-layer capacitance is the intercept at ω→∞.
Values may be divided by the electrode area.
Frequency response of
capacitance and dissipation
log f C and D Capacitive energy storage (C > 0) and non-faradaic losses (D > 0). Double layer capacitance is at ω→∞ (electrolyte resistance should be subtracted)
ω C Double layer capacitance is the slope of the line
1 ω C Double-layer capacitance is at ω→ ∞ . Electrolyte resistance and inductivity should be subtracted.
Inductance 1 ω I m   Z _ ω > 0 The inductivity L of cables and cell components is the extrapolation value at ω–1/2 → 0
Frequency response
[12]
Resistance and reactance
versus frequency
log f R and X Frequency axis from high to low values to compare with Nyquist plot.
Resistance and capacitance versus frequency R = R e   Z _ C = I m   Y _ ω Analysis of electrochemical cells in terms of best resistance and highest capacitance. The best operating condition is the C(R) curve farthest to the left and above diagram area.
Bode plot [13] Frequency response
of impedance and phase
log f log |Z|
and φ
Widely used in electrical engineering, less useful for electrochemistry. At intercept (log f → 0), double layer capacitance is C = Z–1. Charge transfer has slope dZ/dlgf = –1, diffusion has slope –0.5 to –0.25.
Kramers-Kronig
integration [14,15]
ln ω X = I m   Z _ For the equivalent circuit R - C P | | R P , polarization resistance is R P = 4 π X ω d ln ω within the frequency ωm (at the greatest imaginary part) and the highest frequency (ω→∞).
Randles diagram
[16,17,18,19]
1 ω
R = R e   Z _ R < b r e a k > and
X = I m   Z _
Analysis of faradaic impedance ZF = R + jX =
RD + (σ – j) ω–1/2 after correction of electrolyte resistance and double layer capacitance. Slope of line X–1/2) shows the Warburg parameter σ. Intercept RD is the charge-transfer resistance (ω –1/2 → 0).
Evaluation of
time constants [20]
Frequency response
of faradaic impedance
I m   Z _ ω R = R e   Z _ Slope b = (RPCP)–1 of line R = R +bx is the reciprocal of the time constant of the low-frequency process.
ω I m   Z _ R = R e   Z _ Slope b = RPCP of line R = (R +RP) – bx is the time constant τ of the low-frequency process. Diffusion gives a flat curve.
R∞ electrolyte resistance (ω→∞), RP polarization resistance, internal resistance with electrolyte resistance subtracted (ω→ 0), CP capacitance (in parallel to RP).
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