Submitted:
16 April 2024
Posted:
17 April 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. Scope of This Study
1.2. Practical Background
2. Definition of Quantities Related to Complex Impedance
2.1. The Concept of Impedance
2.2. Frequency Response and Complex Plane Plot
2.3. Admittance and Loss Angle
2.4. Pseudocapacitance
2.5. Dielectric Losses and Complex Permittivity
2.6. Relaxation Time
3. Evaluation of Graphical Representations of Quantities Related to Impedance
3.1. Simple Equivalent Circuit Diagram
3.2. Stepwise Analysis of Pseudocapacitance
- Correct the electrolyte resistance R1, which is found as the intercept of the impedance spectrum with the real axis at high frequencies, from all impedance values Z. The double layer capacitance C2 is the extrapolation value of pseudocapacitance at high frequencies.
- 2.
- Correct the electrolyte resistance R1, which is found as the intercept of the impedance spectrum with the real axis at high frequencies, from all impedance values Z. The double layer capacitance C2 is the extrapolation value of pseudocapacitance at high frequencies.
- 3.
- Correct the double-layer capacitance C2 in all impedance values to obtain the complex Faraday impedance Z2. Here, h1 is an auxiliary variable. The charge transfer resistance R2 is obtained as the intercept with the real axis at high frequencies. The pseudocapacitance is corrected by R2 to give a residual polarization capacitance Cp2, which describes mass transport phenomena.
- 4.
- To further analyze the faradaic impedance Z2, repeat the above calculations in equations 10 to 14 (replace index 2 by 3 and index 1 by 2).
3.3. Aging of Supercapacitors
4. Battery State Indicators and Cell Diagnosis
4.1. Correlation of Electric Charge and Impedance
4.2. Failure Analysis Using Impedance Spectroscopy
4.3. Correlation of Impedance and Current-Voltage Characteristics
5. Application Example: Lithium-Ion Battery
5. Application Example: Sodium-Ion Battery
6. Discussion and Conclusions
6.1. Evaluation of Impedance Spectra without Model Assumptions
6.2. SOC and SOH Monitoring
6.3. Correlation of Pseudocapacitace and Battery Capacity
6.4. Impact of Aging
6.5. Impact of Cell Chemistry
Author Contributions
Funding
Conflicts of Interest
References
- Kurzweil, P.; Scheuerpflug, W. State-of-Charge Monitoring and Battery Diagnosis of Different Lithium Ion Chemistries Using Impedance Spectroscopy. Batteries, 2021, 7, 17. [Google Scholar] [CrossRef]
- Kurzweil, P.; Schottenbauer, J.; Schell, C. Past, Present and Future of Electrochemical Capacitors: Pseudocapacitance, Aging Mechanisms and Service Life Estimation, J. Energy Storage, 2021, 35, 102311. [Google Scholar] [CrossRef]
- Trasatti, S.; Kurzweil, P. Electrochemical Supercapacitors as Versatile Energy Stores, Platinum Metals Review, 1994, 38, 46-56.
- Kurzweil, P.; Scheuerpflug, W.; Frenzel, B.; Schell, C.; Schottenbauer, J. Differential Capacity as a Tool for SOC and SOH Estimation of Lithium Ion Batteries Using Charge/Discharge Curves, Cyclic Voltammetry, Impedance Spectroscopy, and Heat Events: A Tutorial. Energies, 2022, 15, 4520. [Google Scholar] [CrossRef]
- Bard, A.J.; Faulkner, L.R.; White, H.S. Electrochemical Methods: Fundamentals and Applications, 3rd ed.; J.Wiley: Hoboken, USA, 2022. [Google Scholar]
- Barsoukov, E.; Macdonald, J.R. Impedance Spectroscopy: Theory, Experiment, and Applications, 3rd ed.; J.Wiley: Hoboken, USA, 2018. [Google Scholar]
- Gabrielli, C. Identification of electrochemical processes by frequency respsonse anaylsius, Solatron Group: Farnborough, UK, 1980.
- Huang, J.; Li, Z.; Liaw, B.Y.; Zhang, J. Graphical analysis of electrochemical impedance spectroscopy data in Bode and Nyquist representations, J. Power Sources 2016, 309, 82–98. [Google Scholar] [CrossRef]
- Nyquist, H. Regeneration theory. Bell system technical journal, 1932, 11, 126–147. [Google Scholar] [CrossRef]
- Cole, K.; Cole, R. Dispersion and adsorption in dielectrics. I.. alternating current characteristics. J. Chem. Phys. 1941, 9, 341–351. [Google Scholar] [CrossRef]
- Kurzweil, P.; Ober, J.; Wabner, D.W. Method for extracting kinetic parameters from measured impedance spectra, Electrochimica Acta, 1989, 34, 1179-1185.
- Kurzweil, P.; Fischle, H.J. A new monitoring method for electrochemical aggregates by impedance spectroscopy, J. Power Sources, 2004, 127, 331–340. [Google Scholar] [CrossRef]
- Mansfeld, F.; Kendig, M.W.; Tsai, S. ; Evaluation of Corrosion Behavior of Coated Metals with AC Impedance Measurements, Corrosion 1982, 38, 478–485.
- Macdonald, D.D.; Urquidi-Macdonald, M. Application of Kramers-Kronig Transforms in the Analysis of Electrochemical Systems: I. Polarization Resistance, J. Electrochem. Soc., 1985, 132, 2316–2319. [Google Scholar] [CrossRef]
- Kramers, H.A. Die Dispersion und Absorption von Röntgenstrahlen, Phys. Z., 1929, 30, 522–523. [Google Scholar]
- Randles, J.E.B. Kinetics of rapid electrode reactions, Discuss. Faraday Soc., 1947, 1, 11-19.
- Thirsk, H.R.; Armstrong, R.D.; Bell, M.F.; Metcalfe, A.A; in Electrochemistry, ed. H. R. Thirsk, The Royal Society of Chemistry, 1978, vol. 6, pp. 98-127.
- Kronig, R. de L. On the theory of dispersion of x-rays, Josa, 1926, 12, 547–557. [Google Scholar]
- van Meirhaeghe, R. L. , et al. On the application of the kramers-kronig relations to problems concerning the frequency dependence of electrode impedance, Electrochimica Acta, 1976, 21, 39–43. [Google Scholar]
- Walter, G.W. A review of impedance plot methods used for corrosion performance analysis of painted metals, Corrosion Science, 1986, 26, 681-703.
- Debye, P. Einige Resultate einer kinertischen Theorie der Isolatoren, Phys. Z. 1912, 12, 97–100. [Google Scholar]
- Hahn, M.; Schindler, S.; Triebs, L.C.; Danzer, M.A. Optimized Process Parameters for a Reproducible Distribution of Relaxation Times Analysis of Electrochemical Systems, Batteries 2019, 5, 43.
- Kurzweil, P.; Scheuerpflug, W. State-of-charge monitoring and battery diagnosis of different lithium-ion chemistries using impedance spectroscopy, Batteries 2021, 7, 17.
- Waag, W.; Sauer, D.U. State-of-Charge/Health, Vol. 4, pp. 793-804, in: J. Garche. Ch. Dyer, P. Moseley, Z. Ogumi, D. R and, B. Scrosati (eds.), Encyclopedia of electrochemical power sources, Elsevier: Amsterdam, 2009.
- Piller, S.; Perrin, M.; Jossen, A. Methods for state-of-charge determination and their applications, J. Power Sources 2001, 96, 113–120. [Google Scholar] [CrossRef]
- Gauthier, R.; Luscombe, A.; Bond, T.; Bauer, M.; Johnson, M.; Harlow, J.; Louli, A.J.; Dahn, J.R. How do Depth of Discharge, C-rate and Calendar Age Affect Capacity Retention, Impedance Growth, the Electrodes, and the Electrolyte in Li-Ion Cells? Journal of The Electrochemical Society, 2022, 169, 020518. [Google Scholar] [CrossRef]
- Bergveld, J.J.; Danilov, D.; Notten, P.H.L.; Pop, V.; Regtien, P.P.L. Adaptive State-of-charge determination, Vol. 1, pp. 450-477, in: J. Garche. Ch. Dyer, P. Moseley, Z. Ogumi, D. Rand, B. Scrosati (eds.), Encyclopedia of electrochemical power sources, Elsevier: Amsterdam 2009.
- Finger, E.P.; Sands, E.A. Method and apparatus for measuring the state of charge of a battery by monitoring reductions in voltage, Patent. US 4193026A, 1978. [Google Scholar]
- Kikuoka, T.; Yamamoto, H.; Sasaki, N.; Wakui, K.; Murakami, K.; Ohnishi, K.; Kawamura, G.; Noguchi, H.; . Ukigaya, F. System for measuring state of charge of storage battery, Patent. US 4377787A, 1979. [Google Scholar]
- Seyfang, G.R. Battery state of charge indicator, US Patent 4,949,046, 1985. [Google Scholar]
- Peled, E.; Yamin, H.; Reshef, I.; Kelrich, D.; Rozen, S. Method and Apparatus for Determining the State-of-Charge of Batteries Particularly Lithium Batteries, Patent US 4,725,784 A, 1988.
- Rodrigues, S.; Munichandraiah, N.; Shukla, A.K. A review of state-of-charge indication of batteries by means of a.c. impedance measurements. J. Power Sources 2000, 87, 12–20. [Google Scholar] [CrossRef]
- Osaka, T.; Mukoyama, D.; Nara, H. Review—Development of Diagnostic Process for Commercially Available Batteries, Especially Lithium Ion Battery, by Electrochemical Impedance Spectroscopy. J. Electrochem. Soc. 2015, 162, A2529. [Google Scholar] [CrossRef]
- La Rue, A.; Weddle, P.J.; Ma, M.; Hendricks, C.; Kee, R.J.; Vincent, T.L. State-of-Charge Estimation of LiFePO4–Li4Ti5O12 Batteries using History-Dependent Complex-Impedance, J. Electrochem. Soc. 2019, 166 A404.
- Huang, J. ; Gao,Y. ; Luo, J.; Wang, S.; Li, C.; Chen, S.; Zhang, Impedance Response of Porous Electrodes: Theoretical Framework, Physical Models and Applications, J. Electrochem. Soc. 2020, 167, 166503. [Google Scholar]
- Wang, X.; Wei, X.; Zhu, J.; Dai, H.; Zheng, Y.; Xu, X.; Chen, Q. A review of modeling, acquisition, and application of lithium-ion battery impedance for onboard battery management, eTransportation 2021, 7, 100093.
- Wenzl, H. ; Capacity, Vol. 1, pp. 395-400, in: J. Garche. Ch. Dyer, P. Moseley, Z. Ogumi, D. Rand, B. Scrosati (eds.), Encyclopedia of electrochemical power sources, Elsevier: Amsterdam, 2009.
- Hung, M.H.; Lin, C.H.; Lee, L.C.; Wang, C.M. State-of-charge and state-of-health estimation for lithium-ion batteries based on dynamic impedance technique, J. Power Sources 2014, 268, 861–873. [Google Scholar] [CrossRef]
- Iurilli, P.; Brivio, C.; Wood, V. , On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review, J. Power Sources 2021, 505, 229860. [Google Scholar] [CrossRef]
- Spielbauer., M.; Berg, P.; Ringat, M.; Bohlen, O.; Jossen, A. Experimental study of the impedance behavior of 18650 lithium-ion battery cells under deforming mechanical abuse, J. Energy Storage 2019, 26, 101039.
- Choi, W.; Shin, H.C.; Kim, J.M.; . Choi, J.Y.; . Yoon, W.S. , Modeling and applications of electrochemical impedance spectroscopy (EIS) for lithium-ion batteries, J. Electrochem. Sci. Technol. 2002, 11, 1–13. [Google Scholar] [CrossRef]
- Eddahech, A.; Briat, O.; Woirgard, E.; Vinassa, J.M. Remaining useful life prediction of lithium batteries in calendar ageing for automotive applications, Microelectronics Reliability 2012, 52, 2438-2442.
- Galeotti, M.; Cinà, L.; Giammanco, C.; Cordiner, S.; Di Carlo, A. Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy, Energy 2015, 89, 678-686.
- Howey, D.A.; Mitcheson, P.D.; Yufit, V.; Offer, G.J.; Brandon, N.P. Online Measurement of Battery Impedance Using Motor Controller Excitation, IEEE Transactions on Vehicular Technology 2014, 63, 2557-2566.
- Dowgiallo, E.J. Method for determining battery state of charge by measuring A.C. electrical phase angle change, Patent. US 3984762A, 1975. [Google Scholar]
- Srinivasan, R.; Demirev, P.A.; Carkhuff, B.G. Rapid monitoring of impedance phase shifts in lithium-ion batteries for hazard prevention, J. Power Sources 2018, 405, 30–36. [Google Scholar] [CrossRef]
- Guo, D.; Yang, G.; Zhao, G.; Yi, M.; Feng, X.; Han, X.; Lu, L.; Ouyang, M. Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra. Energies 2020, 13, 915. [Google Scholar] [CrossRef]
- Kurzweil, P.; Scheuerpflug, W.; Frenzel, B.; Schell, C.; Schottenbauer, J. Differential Capacity as a Tool for SOC and SOH Estimation of Lithium Ion Batteries Using Charge/Discharge Curves, Cyclic Voltammetry, Impedance Spectroscopy, and Heat Events: A Tutorial. Energies 2022, 15, 4520. [Google Scholar] [CrossRef]
- Bloom, I.; Christophersen, J.; Gering, K. Differential voltage analyses of high-power lithium-ion cells, 2. Applications, Journal of Power Sources 2005, 139, 304–313. [Google Scholar] [CrossRef]
- Dubarry, M.; Svoboda, V.; Hwu, R.; et al. Incremental capacity analysis and close-to-equilibrium OCV measurements to quantify capacity fade in commercial rechargeable lithium batteries, Electrochem Solid State Lett. 2006, 9, A454.
- Dahn, H.M.; Smith, A.J.; Burns, J.C.; Stevens, D.A.; Dahn, J.R. User-Friendly Differential Voltage Analysis Freeware for the Analysis of Degradation Mechanisms in Li-Ion Batteries. J. Electrochem. Soc. 2012, 159, A1405. [Google Scholar] [CrossRef]
- Smith, A.J.; Dahn, J.R. Delta Differential Capacity Analysis. J. Electrochem. Soc. 2012, 159, A290. [Google Scholar] [CrossRef]
- Wang, L.; Zhao, X.; Liu, L.; Pan, C. State of health estimation of battery modules via differential voltage analysis with local data symmetry method. Electrochim. Acta 2017, 256, 81–89. [Google Scholar] [CrossRef]
- Kurzweil, P.; Frenzel, B.; Scheuerpflug,W. A Novel Evaluation Criterion for the Rapid Estimation of the Overcharge and Deep Discharge of Lithium-Ion Batteries Using Differential Capacity. Batteries 2022, 8, 86. [Google Scholar] [CrossRef]







| Quantity | Complex definition | Real part Active component |
Imaginary part Reactive component |
Modulus Apparent value |
Unit |
|---|---|---|---|---|---|
| Impedance | |||||
| Admittance | |||||
| Capacitance | F | ||||
| Relative permittivity |
– | ||||
| Power | W = VA | ||||
| Phase angle | – | ||||
| Loss angle | – |
| 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 |
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 |
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 |
Capacitive energy storage ( > 0) and dielectric losses (ϱ > 0). Electrode distance and area is included. | ||
| Capacitance [11] | Capacitance in the rotated complex plane |
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 | ||
| C | Double-layer capacitance is at ω→ ∞ . Electrolyte resistance and inductivity should be subtracted. | |||
| Inductance | 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 | 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 | For the equivalent circuit , polarization resistance is within the frequency ωm (at the greatest imaginary part) and the highest frequency (ω→∞). | ||
| Randles diagram [16,17,18,19] |
|
and |
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(ω–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 |
Slope b = (RPCP)–1 of line R = R∞ +bx is the reciprocal of the time constant of the low-frequency process. | ||
| Slope b = RPCP of line R = (R∞ +RP) – bx is the time constant τ of the low-frequency process. Diffusion gives a flat curve. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).