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24 May 2024

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

,
,
and
1
Electrochemistry Laboratory, University of Applied Sciences (OTH), Kaiser-Wilhelm-Ring 23, 92224 Amberg, Germany
2
Diehl Aerospace GmbH, Donaustrasse 120, 90451 Nürnberg, Germany
*
Author to whom correspondence should be addressed.

Abstract

The concept of pseudocapacitance is explored as a rapid and universal method for the state of health (SOH) determination of batteries and supercapacitors. In contrast to this, the state of the art considers the degradation of a series of full charge/discharge cycles. Lithium-ion batteries, sodium-ion batteries and supercapacitors of different cell chemistries are studied by impedance spectroscopy during lifetime testing. Faradaic and capacitive charge storage are distinguished by the relationship between the stored electric charge and capacitance. Batteries with a flat voltage–charge curve are best suited for impedance spectroscopy. There is a slight loss in the linear correlation between the pseudocapacitance and Ah capacity in regions of overcharge and deep discharge. 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 the instant performance and failure diagnosis of batteries and supercapacitors.

1. Introduction

In-time failure diagnosis is still a challenge for battery management systems with respect to and the reliable indication of the state of charge (SOC) and state of health (SOH) of electrochemical energy storage devices. The current state of the art of lifespan prediction is mostly based on cell voltage monitoring or ampere-hour counting and the evaluation of hundreds of complete charge/discharge cycles. At present, there is no quick and simple method to determine the actual SOC, regardless of the age of the battery. It is still not clear when a battery is truly fully charged during charging without overcharging and when its power is almost depleted during discharging. Various internal and external problems can arise during operation in stationary and mobile applications, leading to performance losses and thermal runaway.

1.1. Scope of This Study

With respect to providing more general insights into the diagnosis of different electrochemical energy converters, the concept of impedance spectroscopy [1] has been verified through examples of lithium-ion cells and supercapacitors during longtime tests. We tested hundreds of lithium-ion batteries of different manufacturers and cell chemistries and considered whether there was a simple means to determine whether they were ‘full’ or ‘empty’ without performing a full charge/discharge cycle each time and risking the overcharge or deep discharge of the cell. It can be challenging to determine the actual SOC and SOH of lithium-ion batteries after they have been idle for a while or after a high-power discharge.
When comparing faradaic and capacitive energy storage, questions arise: How does pseudocapacitance reflect the available electric charge? Which impedance-derived quantity gives the best information on aging, state of health and failure diagnosis? Which early signs indicate thermal overload and critical overcharge in the impedance spectra of batteries that are considered to be in good condition? What is the deep electrochemical information of resistance and capacitance during lifetime testing? This paper aims to provide answers.

1.2. Practical Background

In the aviation sector, the fast charging of batteries is usually not permitted. Even if the battery is fully charged, it cannot be guaranteed that it has sufficient capacity to last for 15 min under a full load during an emergency. Because of the high reliability standards of emergency power supplies in aircraft, planned take-offs can sometimes be delayed. Once the plane is parked, the battery’s state of charge (SOC) drops because of self-discharge. It takes about 1.5 to 2 h to diagnose a 2 Ah battery, determine its capacity, and recharge it using the constant current discharge method, according to the latest in-air traffic technology. If we wish to keep maintenance intervals short, we need a reliable method to diagnose batteries quickly that can at least indicate 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, the 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 of Li1−xFePO4, lithium ions move through the linear channels. The LFP material is easy to obtain, does not require much critical attention, and is unlikely to cause any harm. Unfortunately, the cell voltage of 3.6 V is lower than the 4.2 V of most other lithium technologies. The capacity is more likely to degrade if the battery is left running for long periods of time in either the upper or lower potential range and at low temperatures.
Supercapacitors are considered for emergency power supplies [2,3]. Impedance measurements help us to understand the difference between the 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.
Since the 1930s, voltage measurements [25,26,27,28] have been used to determine the SOC [29,30,31], but they do not work well with flat voltage curves like those of the LiFePO4 system. Moreover, lithium-ion batteries are not supposed to be discharged below a certain voltage (the cut-off voltage).
Impedance spectroscopy [32,33,34,35,36], Coulomb counting, bookkeeping methods, and look-up tables have been used since the mid-1970s. Unfortunately, the impedance method does not deliver Ah capacities because pseudocapacitance is a differential quantity.
C = d Q d U               Q = 0 Δ U C U   d U
The actual cell voltage is U(t) at time t after starting the impedance measurement. The frequency-dependent pseudocharge Q(ω,t) is only a qualitative measure for the instantaneous electrical charge because there is a numerical factor connecting true battery capacity Q [37] and pseudocharge.

4.2. Failure Analysis Using Impedance Spectroscopy

The state of health (SOH = Q0/QN) describes how much of its initial capacity a battery has left after it has been used for a while. It compares the capacity of a fully charged, old battery (Q0) to the rated or nominal capacity of a new battery (QN). There is still no simple method to determine the charge of a battery that can be used without completely discharging it.
Impedance spectroscopy shows all the changes in a battery’s resistance and capacitance during normal use and in cases of misuse [38]: lithium plating, short circuits, 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 the resistance or reactance to estimate the battery life.
  • It is worth noting that the electrolyte resistance measured at high frequencies (above 1 kHz) does not decrease in a strictly linear way with a rising temperature. If there are any internal short circuits caused by mechanical deformations, a drop in ohmic resistance occurs 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 the 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 3.2). 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 the impedance at low frequencies.
  • The pseudocapacitance reflects the storage properties of the cell, whereas the resistance shows the kinetic inhibitions. In a C(R) plot, the healthiest operating state is characterized by the curve at the lowest resistance and highest capacitance (Kurzweil [1,12]).
  • The phase shift [45] rises quite suddenly shortly before cell venting (within seconds) and thermal runaway (some minutes later), although the 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 the 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 the capacity change to the voltage change. It is found that, at the same voltage, the differential capacity dQ/dU from the charge/discharge curves and the pseudocapacitance at low frequencies from the impedance spectra are more or less the same [47]. To avoid any problems with the numerical calculation, it is best to calculate the dQ/dU (capacitance) from the charge/discharge curves as the reciprocal of the differential voltage [48]. Equation (20) gives an indication of how the capacitance and resistance change as the state of charge changes.
C ( ω 0 ) = d Q d U = d U d Q 1 = d R d t 1
dQ/dU is measured in Farads. F = C/V = As V−1. Thus, it is important not to confuse the symbol for electrical capacitance, C, with the meaning and symbol for the electrical charge (capacity Q).
The term ‘differential capacity analysis’ first appeared around 2000. It refers to the first derivative of the galvanostatic curve, U(Q). However, it is difficult to quantitatively compare C(ω) from impedance measurements with the ‘incremental capacity’ dQ/dU and its reciprocal dU/dQ, described by Bloom [49], Dubarry [50], Dahn [51], and Smith [52]. Unfortunately, the noisy differential curves require the previous smoothing of the data.
The different cell chemistries of lithium-ion batteries show similar results, even though the available charge and state of charge (SOC) do not change in a linear way with the voltage. It is not always clear that the SOC and SOH are related to the differential capacity.
dQ/dU from the constant/current (chronopotentiometric) curves yields the following information [46]:
  • Differential capacity dQ/dU peaks appear at regions where the U(Q) curve is flat, when the battery reaches a phase equilibrium of coexisting phases with different lithium concentrations (ΔU→0) and the cell voltage is constant (Bloom [47]).
  • The peaks in dU/dQ reflect phase transitions and characterize the ‘almost empty’ or ‘almost full’ battery, when a constant current can no longer be fed into or drawn from it (ΔI→0). If the ‘differential voltage’ rises quickly, it means that the battery has been overcharged or deeply discharged. In this case, the differential capacity is small. The distance between two inflection points on the differential voltage curve is proportional to the battery capacity, which can be used to estimate the battery SOH [53].
  • In the case of depletion or overcharge, capacitance C (slope of the Q(U) curve) is small and resistance R (slope of the U(Q) curve) is great. dQ/dU and dU/dQ intersect at a point below the upper limit voltage, which is located at the kink point near the full charge [48].

5. Application Example: Lithium-Ion Battery

Which quantity derived from the impedance spectra best indicates the state of charge of a battery?
Figure 4 shows the aging of a lithium-ion battery. Comparing the resistance, reactance, and capacitance at a fixed frequency of 0.1 Hz, it can be seen that the internal resistance of the battery (the real part of the impedance) increases linearly with increasing aging. In this example, the electrolyte correction, R (0.1 Hz) − Re, brings little improvement for the linearity (Figure 4a) but is useful for the capacitance (Figure 4c).
Figure 4. Impedance data of a lithium-ion battery (LithiumWerks 26650 cell, LiFePO4, 3.3 V, 2.5 Ah, USA) during lifetime testing. (a) Relative increase in ohmic resistance R (0.1 Hz) and impedance modulus Z (0.1 Hz) at different states of charge (SOC). (b) Relative change of reactance X (0.1 Hz) and phase shift φ (0.1 Hz). (c) Linear increase in pseudocapacitance C (0.1 Hz) when corrected by the electrolyte resistance. (d) Correlation of available electric charge (battery capacity) with cell resistance R (0.1 Hz) and (e) pseudocapacitance C (0.1 Hz), corrected by the electrolyte resistance.
The imaginary part of the impedance and the phase shift do not correlate strictly with the state of charge (Figure 4b). The best full charge indication is the pseudocapacitance C (0.1 Hz) corrected by the electrolyte resistance (Figure 4e). This is intuitively understood from the correlation between the 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 the 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 the capacitance and SOC. C(0.1 Hz) takes longer to measure than C (0.33 Hz), which works equally well. Dielectric losses can also be used, but capacitance C retains its relationship with the SOC better than dissipation D over the life of the battery.
Figure 5. Lifetime 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 on the state of charge (SOC). (b) Measured impedance at the end of life. C = pseudocapacitance (corrected by the electrolyte resistance according to Equation (6)), D = dissipation (corrected by the electrolyte resistance), R = cell resistance (real part of the impedance).
The quotient of the pseudocapacitance and dissipation reflects the ratio of the reactance and resistance (at frequency ω). Both quantities are inextricably linked to the SOC. When calculating C and D, it is advisable to correct for the electrolyte resistance to improve the charge indication.
C ( ω ) D ( ω ) = X ( ω ) R ( ω )

6. 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.
Figure 6. Characterization of a sodium-ion battery (Shenzhen Mushang Electronics, NA18650-1250, 3.0 V, 1.25 Ah, China). (a) Impedance spectra in the complex plane at different states of charge. (b) Pseudocapacitance and cell resistance at different SOCs. Electrolyte resistance corrected. (c) Pseudocapacitance C, dissipation D, and cell voltage U as SOC indicators. (d) Cell voltage versus capacity at different discharge currents at room temperature. (e) Temperature 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.
During discharge, the diameters of the locus curve arcs increase, while the pseudocapacitance decreases (Figure 6a,c). The dissipation D is calculated as the imaginary part of the complex capacitance and indicates best the state of charge at a low SOC (Figure 6c), 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 the temperature and load current (Figure 6d,e). The discharge curve allows us to calculate the differential capacity (incremental capacity, dQ/dU) and incremental voltage (dU/dQ), which are equal at an approximately 2.8 V cell voltage (Figure 6f). 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, the capacity drops to SOH = 98%, as shown in Figure 6g.

7. Discussion

Prior state-of-the-art methods for SOC monitoring require ampere-hour counting during a complete discharge. The cell voltage is a less accurate method of measuring the actual electric charge. There is a clear correlation between the pseudocapacitance and the remaining capacity for the main types of lithium-ion batteries.

7.1. 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 aging 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).

7.2. SOC and SOH Monitoring

The prediction of the state of charge (SOC) and state of health (SOH) requires a quantity that can linearly map the charge state over a large measuring range. It is worth noting that the Nyquist plot can take different forms even for the same battery chemistry. This raises the question of which physical variable can be meaningfully evaluated for SOC monitoring. Both the real and imaginary parts of the impedance are affected by the state of charge, with the resistance dropping and the capacitance increasing as the SOC increases.
The pseudocapacitance and SOC show their best linear correlation at frequencies below 1 Hz. A quadratic model is also possible: SOC = aC2 + bC + c. The predicted SOC values help us to determine whether a battery of the same type and manufacturer is empty, a quarter full, half full, three quarters full, or completely full.
The capacitance does not necessarily have to be measured down to extremely low frequencies. C (0.1 Hz) encompasses the mass-transport-limited charge transfer reaction that is implicated in the lithium-ion intercalation at very low frequencies. The linear trend demonstrates enhanced performance when the SOC range is considered up to 98% (as opposed to 100%), given that overcharge phenomena are observed at full charge.
The electrolyte resistance is not recommended for the determination of the SOC, but it is useful as an aging indicator for SOH monitoring. Therefore, the measured real parts are corrected by subtracting Re (the real part at a high frequency, where X = 0). The linear trend between the pseudocapacitance and electric charge is better when the electrolyte resistance is corrected.
Overcharging complicates the relationship between the capacitance and state of charge (SOC). The sudden jump in capacitance at SOC = 1 could be used to show that the battery is fully charged, which would avoid the risk of overcharging.

7.3. Correlation of Pseudocapacitance 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 the pseudocapacitance and electric charge. The pseudocapacitance C(ω) is a useful three-in-one quantity that combines information about the resistance, reactance, and frequency.

7.4. Impact of Aging

As a lithium-ion battery ages, its internal resistance increases. The electrolyte resistance is not a good indicator of the battery’s overall condition. 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.
Figure 7. Changes in the impedance spectra during the aging of an LCO battery (Panasonic UR18650 FK, Japan) 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.
The pseudocapacitance can give a good insight into how healthy a battery is, even if the shape of the impedance spectrum changes considerably during the aging process. For combined SOC and SOH measurements, the pseudocapacitance is still a good option. It is beneficial to normalize C(ω) to the fully charged battery (SOC = 1) or the new battery (SOH = 1).

7.5. Impact of Cell Chemistry

The impedance spectra (Figure 7) show three regions that are affected by aging:
  • At high frequencies—electrolyte and solid/electrolyte interface (SEI);
  • At medium frequencies—charge transfer reaction;
  • At low frequencies—pore diffusion and ion intercalation into the host lattice.
Depending on the cell chemistry, the resistance in the three regions increases due to electrolyte decomposition, SEI growth, slowed charge transfer, and related aging effects (lithium dendrite formation, the loss of anode materials, particle cracking on the cathode). Electrolyte decomposition can be associated with a shift to higher ohmic resistance. Anode degradation and SEI layer growth increase the first quarter circle in the mid-frequency region. The formation of a cathode electrolyte interface (CEI) and cathode particle cracking shift the second arc. An increase in the low-frequency region shows cathode structural disordering (Jurilli [39]).
It is beneficial to remove the electrolyte resistance (where it meets the real axis) to create a set of curves that are independent of contact and cable errors. This also excludes the corrosion resistance of the current collectors. Once the real part has been corrected, the modulus of the impedance, |Z(ω)|, and the pseudocapacitance, C(ω) = −Im Z/(ω |Z|2), can be calculated. The shape of the diffusion impedance at low frequencies depends on whether the lithium-ions 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).
We need to conduct more research to improve the impedance method so that we can manage the steps in the voltage/capacity curve and overcharging effects properly.

8. Conclusions

The theory, principles, equipment, and interpretation of impedance measurements in various applications have been extensively described in the literature, e.g., the highly useful tutorial in [54]. This paper shows the practical applications of impedance spectroscopy and the graphical interpretation of the measured data without the need for complex numerical tools and arbitrary methods to fit the values to non-linear models.
It has been shown which quantities can be derived in principle from the complex impedance Z and how to calculate them. The most useful quantities are ohmic resistance R, reactance X, and pseudocapacitance C, which can be plotted on the complex plane or on a frequency scale. The importance and usefulness of the frequency response of pseudocapacitance has been clarified with regard to the empirical evaluation of impedance spectra. Less useful for electrochemical interpretation, or limited to specific problems, are the impedance modulus |Z|, the phase shift φ, the dissipation D (the imaginary part of the complex capacitance), and the time constant τ. The mathematical sign convention (capacitive = negative reactance) is recommended to avoid inconsistencies in all cases where different impedance-derived quantities are used.
Impedance spectroscopy can be used to monitor the aging behavior of electrochemical cells such as batteries, supercapacitors, and electrodes in electrolysis. In particular, the pseudocapacitance versus resistance plot (see, for example, Figure 3) helps to determine whether aging processes are driven more by an increase in resistance (as a measure of power loss and growing interlayers) or a gradual decrease in pseudocapacitance (as a measure of the active surface area and electric charge).
The correction procedure (presented in Section 3.2) allows a stepwise analysis of the semicircles in the complex plane with respect to the electrolyte resistance and the equivalent resistances and capacitances of the faradaic and non-faradaic electrode reactions.
Unlike ampere-hour counting during a full discharge, the impedance method is fast but does not give quantitative results for the SOC and SOH. Each cell chemistry has its own conversion factor between the pseudocapacitance and ‘true’ electrical charge. If the discharge curve has steps, the clear linear relationship C(SOC) is often lost. In essence, semi-quantitative SOC and SOH values can be determined by means of calibration curves [1].
Impedance spectroscopy is undoubtedly a superior tool for the analysis of time-varying and changing electrochemical cells, because it allows a direct, visual interpretation with resistances and capacitances, which is superior to the use of overpotentials and IR drops from current/voltage curves. Beyond the applications shown, impedance spectroscopy opens up the exciting world of capacitive energy storage ceramics [55], bio-electrochemical sensors, and photoelectrochemical cells.

Author Contributions

Writing—original draft preparation, review and editing, all authors (P.K., W.S., C.S. and J.S.). All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data are available on request from the authors.

Conflicts of Interest

Author W.S. was employed by the company Diehl Aerospace GmbH, The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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