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Curriculum · Module 4 · Intermediate–Advanced

Battery Testing and Characterisation

From cell types to test protocols, from ageing analysis to high-precision coulometry: the measurement backbone of battery research.

Battery fundamentals: capacity, C-rate, Coulombic efficiency and cell types

Frequently searched:what is C-rateCoulombic efficiencycoin cell testingbattery capacity measurement

1 Theory

Cell, energy and power

A battery cell consists of two electrodes (positive/cathode, negative/anode), a separator and an electrolyte. The cell voltage is the potential difference between the two electrodes; 3–4.2 V for Li-ion. Capacity (Ah) is the total charge the cell can deliver, energy (Wh) the product of voltage and capacity, power (W) the instantaneous voltage×current. Values normalised to mass and volume (Wh/kg, Wh/L, W/kg) are the common language for comparing chemistries; the Ragone plot shows the energy–power trade-off.

C-rate, SOC, DOD and efficiency

The C-rate expresses the current relative to the nominal capacity: 1C is full discharge in one hour, C/10 in ten hours. State of charge (SOC) is the percentage of remaining charge, depth of discharge (DOD) its complement. Coulombic efficiency (CE) is the ratio of discharge charge to charge charge in one cycle; energy efficiency is lower because it also includes the voltage hysteresis. In commercial Li-ion cells CE is above 99.9 %; CE differences therefore cannot be measured meaningfully without 1 ppm-level current accuracy — this is the rationale of 'high-precision coulometry'.

Cell formats and test cells

In research, coin cells, three-electrode test cells (with reference electrode), Swagelok-type and small pouch cells are used; in industry cylindrical (18650, 21700, 4680), prismatic and pouch formats. A half cell (Li metal counter) gives the properties of a single electrode, a full cell the realistic balance. Electrode loading (mg/cm²), N/P ratio and electrolyte amount are parameters that determine the results and must be reported.

Electrode chemistry and intercalation

Li-ion electrodes are intercalation compounds in which Li⁺ enters and leaves a host structure (graphite, LCO, NMC, LFP). The voltage–composition curve reflects the phase diagram: single-phase regions give slopes, two-phase regions flat plateaus. At the negative electrode the electrolyte is reduced and forms the solid electrolyte interphase (SEI); formation of the SEI in the first cycle is the main cause of irreversible capacity loss, and its long-term growth the principal mechanism of impedance rise and capacity fade.

2 Application in measurement

Capacity (Ah) is the charge the cell can deliver; the C-rate is the multiple of the current that discharges the capacity in one hour (1C, C/10, 2C). Coulombic efficiency (CE) is the discharge/charge charge ratio and one of the most sensitive early indicators of ageing; meaningful CE requires ppm-level current accuracy and temperature control (high-precision coulometry).

Research cells: coin (CR2032), Swagelok and 3-electrode cells such as the PAT-Cell are tested at material level; cylindrical (18650/21700), pouch and prismatic cells at commercial level. 4-point (Kelvin) holders exclude the contact resistance from the measurement.

Which instrument? MPG-200 or VMP-3e for material/research cells (3-electrode, EIS); BCS-900 for cell validation and ageing (native EIS, 5 current ranges); BCS-1012 for high-volume screening; BCS-975R for high power.

Key equations

  • CE = Q_discharge / Q_charge; C-rate: I = C·(capacity/1 h)

3 Applicability

Where it applies

  • Design and reporting of every battery test protocol; chemistry comparison; basic indicators in cell-production quality control.

Limits and caveats

  • Nominal values depend on temperature, C-rate and age; capacities measured under different conditions cannot be compared directly.

4 What did the application notes find?

  • Battery AN53 — Explains the difference between precision (repeatability) and accuracy in Coulombic-efficiency measurement; shows the necessity of current accuracy, stability and temperature control for ppm-level CE and that cell life can be predicted within weeks by high-precision coulometry.
  • Battery AN58 — Shows the separation of the full-cell voltage into anode and cathode potentials in a reference-electrode test cell, and that the ageing of each electrode can be followed separately.
  • WP Battery EIS — Gives a holistic summary of EIS in batteries: internal resistance, SEI/charge-transfer semicircles, diffusion tail, SOC and temperature dependence, measurement mode (GEIS) and typical errors.

5 Which instruments perform this measurement?

References

  1. article N. Nitta, F. Wu, J. T. Lee, G. Yushin. Li-ion battery materials: present and future. Materials Today 18, 252–264, 2015. doi:10.1016/j.mattod.2014.10.040 open access
  2. web Bio-Logic. What is a battery cycler? — Learning Center. biologic.net, 2024. link
  3. web Bio-Logic Science Instruments. Learning Center — articles, application notes and tutorial videos. biologic.net, 2026. link

Charge/discharge protocols: CC-CV, GCPL, HPPC and duty cycles

Frequently searched:CC-CV chargingGCPLHPPC testDCIR measurementbattery cycling test

1 Theory

Galvanostatic cycling (GCD / GCPL)

Charge and discharge at constant current are defined by voltage limits (e.g. 3.0–4.2 V). In each cycle capacity, CE, average voltage and energy are calculated; the capacity–cycle curve is the indicator of life, the voltage profile that of the chemistry. Rest steps (OCV relaxation) are used to separate hysteresis and polarisation.

CC-CV charging

After the upper voltage limit is reached at constant current, the voltage is held until the current falls to a cut-off value (e.g. C/20). The CV step completes the capacity left incomplete at high C-rate because of kinetic and ohmic limitations; the charge passed in the CV step is an indirect measure of the cell's internal resistance and diffusion limitation. It is the standard of commercial chargers.

Rate capability, HPPC and duty cycles

The rate test measures how capacity drops with C-rate (C/10, C/5, 1C, 2C, 5C…). HPPC (Hybrid Pulse Power Characterization) determines internal resistance and pulse power with short discharge/charge pulses at different SOCs; the results feed the equivalent-circuit models of electric-vehicle battery management systems (BMS). Duty-cycle (drive-cycle) tests apply real usage profiles (e.g. vehicle driving cycles) as a current/power sequence; constant-power (CPW) discharge produces the Ragone plot.

Life testing and acceleration

Cycle life and calendar life (storage at constant SOC and temperature) trigger separate mechanisms. High temperature, high upper voltage and high C-rate accelerate ageing; for extrapolation of results to real conditions, periodic reference performance tests (RPT: low-C-rate capacity, EIS, HPPC) are added to the protocol. Consistent current accuracy and time base across channels is the prerequisite of comparability in multi-cell life tests.

2 Application in measurement

Constant current-constant voltage (CC-CV) charging: first at constant current to the upper voltage, then held at constant voltage until the current falls to a cut-off value. The EC-Lab® GCPL and BT-Lab® CC/CV tasks build this protocol flexibly with potential and time limits. Formation cycles are run at a low C-rate.

HPPC (Hybrid Pulse Power Characterization) determines internal resistance and power capability as a function of SOC with short current pulses; DCIR is the ΔV/ΔI ratio and corresponds to different frequencies of EIS depending on the chosen Δt. Duty cycles mimic real usage profiles.

Safety limits (U, I, Q, T), climate-chamber synchronisation and data redundancy are part of the protocol in long-term tests.

Key equations

  • DCIR = ΔV / ΔI (Δt defined)

3 Applicability

Where it applies

  • Material development (half-cell cycling), cell validation, BMS parameter extraction, life/warranty tests, quality control.

Limits and caveats

  • Protocols defined by voltage limit alone do not reveal safety problems such as Li plating; temperature and reference-electrode data are needed.
  • In very long life tests (months) the long-term stability of the channel and data security (backup, power failure) are as important as the experiment itself.

4 What did the application notes find?

  • Battery AN1 — Explains the set-up of the GCPL protocol on intercalation electrodes and the relationship between the voltage–composition curve and the phase diagram; shows how the same protocol is extended with rest steps for the transition to GITT.
  • Battery AN3 — Defines the GCPL-4 protocol for low-Earth-orbit satellite batteries — galvanostatic cycling mimicking the real duty cycle, in which the total duration of each step is kept constant.
  • Battery AN38 — Shows that the dynamic resistance measured by current pulse depends on the time interval and can be related to different frequency regions of EIS; this link is used in interpreting HPPC results.
  • Battery AN62 — Shows how the ohmic resistance of a battery is read from the real-axis intercept of EIS; that the inductive contribution can shift this intercept and the importance of four-terminal connection.

5 Which instruments perform this measurement?

References

  1. article N. Meddings et al.. Application of electrochemical impedance spectroscopy to commercial Li-ion cells: A review. J. Power Sources 480, 228742, 2020. doi:10.1016/j.jpowsour.2020.228742 open access
  2. article M. Dubarry, C. Truchot, B. Y. Liaw. Synthesize battery degradation modes via a diagnostic and prognostic model. J. Power Sources 219, 204–216, 2012. doi:10.1016/j.jpowsour.2012.07.016
  3. web Bio-Logic Science Instruments. Learning Center — articles, application notes and tutorial videos. biologic.net, 2026. link

Thermodynamics and diffusion-coefficient determination with GITT and PITT

Frequently searched:what is GITTwhat is PITTlithium diffusion coefficientOCV curve

1 Theory

Separating thermodynamics and kinetics

The voltage measured on an intercalation electrode while current flows adds the ohmic, charge-transfer and diffusion overpotentials on top of the equilibrium (thermodynamic) voltage. GITT and PITT separate these contributions with short excitations and long rests: the voltage at the end of the rest gives the equilibrium OCV (against composition), the transient response during the excitation the diffusion kinetics.

GITT (galvanostatic intermittent titration)

A small current pulse (e.g. C/20, 10–30 min) is followed by a rest (hours) until the OCV stabilises; at each step the composition advances by a small amount. According to the Weppner–Huggins analysis, in the short-pulse limit (t ≪ L²/D) the voltage varies linearly with √t and the chemical diffusion coefficient is calculated as D = (4/π)·(I·V_m/(z·F·A))²·[(dE/dδ)/(dE/d√t)]². The result depends strongly on correct knowledge of the geometric area and particle size; this is the main reason why literature values are scattered over orders of magnitude.

PITT (potentiostatic intermittent titration)

The potential is changed in small steps (5–10 mV) and the decay of the current is recorded. In the long-time limit the current decreases exponentially: the slope of ln(I) vs t gives −π²D/(4L²); in the short-time limit Cottrell behaviour is seen. The total charge passed at each step gives the differential capacity (dQ/dE) directly; phase transformations appear as peaks in dQ/dE and minima in D.

Comparison with EIS

The D calculated from the low-frequency Warburg region rests on the same Fick model as GITT and PITT; consistency of the three methods tests the validity of the model. In two-phase regions (flat plateau) the concept of 'diffusion coefficient' is debatable; here the movement of the phase boundary determines the rate and results should be reported as apparent values.

2 Application in measurement

In GITT short galvanostatic pulses and relaxation periods are applied in succession; the potential reached at the end of relaxation gives the equilibrium OCV–composition curve, the potential change within the pulse the chemical diffusion coefficient via the Weppner-Huggins equation. In PITT potential steps are applied and the decay of the current with time is analysed.

Pitfalls: choice of pulse and relaxation durations, uncertainty in electrode thickness/active area, slow kinetics at low temperature (Nickol et al.). Both methods should be cross-validated with EIS.

Bio-Logic EC-Lab® offers the GITT/PITT techniques and the D calculation built in; the MPG-200 and VMP-3e are suited to 3-electrode research cells.

Key equations

  • Weppner-Huggins: D = (4/πτ)·(m·Vm/(M·A))²·(ΔEs/ΔEt)² (t ≪ L²/D)

3 Applicability

Where it applies

  • Determining the thermodynamic OCV curve and kinetic limits of new electrode materials; solid-electrolyte/cathode interface studies; rate-capability–diffusion relationship.

Limits and caveats

  • In commercial full cells the contributions of the two electrodes mix; a half cell or reference electrode is needed for a meaningful D.
  • Pulse duration and rest criteria change the results considerably; protocol details must be reported.

4 What did the application notes find?

  • Battery AN1 — Shows the set-up of the GITT protocol and how the OCV–composition curve is obtained; selection of the rest time according to OCV stability.
  • Battery AN2 — Defines the PCGA (potentiodynamic cycling) and PITT protocols; shows the effect of the potential step and current cut-off criterion on differential-capacity and diffusion determination.
  • Battery AN70 — Compares the diffusion coefficients calculated by EIS, PITT and GITT on the same material; shows that the results agree in order of magnitude and that the differences stem from area/particle-size assumptions.

5 Which instruments perform this measurement?

References

  1. article W. Weppner, R. A. Huggins. Determination of the Kinetic Parameters of Mixed-Conducting Electrodes and Application to the System Li3Sb. J. Electrochem. Soc. 124, 1569, 1977. doi:10.1149/1.2133112
  2. article A. Nickol, T. Schied, C. Heubner, M. Schneider, A. Michaelis, M. Bobeth, G. Cuniberti. GITT Analysis of Lithium Insertion Cathodes for Determining the Lithium Diffusion Coefficient at Low Temperature: Challenges and Pitfalls. J. Electrochem. Soc. 167, 090546, 2020. doi:10.1149/1945-7111/ab9404 open access
  3. book A. J. Bard, L. R. Faulkner, H. S. White. Electrochemical Methods: Fundamentals and Applications (3rd ed.). Wiley, 2022.

EIS, dQ/dV and ageing mechanisms in batteries

Frequently searched:battery EISdQ/dV analysisSEI resistancebattery ageing mechanismsSOH estimation

1 Theory

Anatomy of a battery spectrum

In a typical Li-ion Nyquist plot one sees at high frequency an inductive tail from the cables, at the real-axis intercept the ohmic resistance (electrolyte, current collector, contact), at mid-high frequency the SEI/contact-resistance semicircle, at mid-low frequency the charge-transfer semicircle (strongly temperature-dependent, Arrhenius) and at low frequency solid-state diffusion (Warburg, followed by a capacitive rise). The semicircles usually overlap; DRT or a temperature/SOC sweep helps to separate them.

Measurement practice

The impedance of batteries is of the order of mΩ; four-terminal connection, short twisted cables and galvanostatic mode (to avoid OCP drift) are required. The amplitude is chosen in current such that the cell's voltage response does not exceed 5–10 mV. Since the spectrum depends on SOC and temperature, the measurement conditions must be fixed and stated; rest before the measurement lowers the NSD indicator.

dQ/dV and dV/dQ analysis

Differential capacity (dQ/dV vs V) turns the plateaus of the charge/discharge curve into peaks; each peak corresponds to a phase transformation or a stage in the electrode pair. Shift, weakening or disappearance of peaks with ageing points to the mechanism: loss of Li inventory (LLI), loss of active material (LAM) and loss of conductivity leave different signatures. For data recorded at constant time intervals, differential coulometry (DCS) gives the same information in a more noise-resistant form.

Ageing mechanisms

SEI growth (Li consumption, impedance rise; progresses as t^(1/2)), Li metal plating (at low temperature/high C-rate; safety risk), cathode structural degradation and transition-metal dissolution, loss of binder/conductive network, electrolyte depletion and gas formation. Growth of the SEI semicircle and rise of the ohmic resistance in EIS, peak shifts in dQ/dV and the 'knee' in the capacity–cycle curve are the observable consequences of these mechanisms.

2 Application in measurement

In battery EIS the high-frequency intercept represents the ohmic resistance, the first arc the SEI/contact contributions, the second arc charge transfer and the low-frequency tail diffusion. SOC and temperature change the impedance strongly; comparisons must therefore be made at the same SOC and temperature. Native EIS (BCS-900) provides SOH tracking by taking spectra between cycles on every channel.

dQ/dV curves show phase transitions as peaks; peak shifts and area loss are interpreted in Dubarry's framework as loss of lithium inventory (LLI) and loss of active material (LAM). For constant-dt data the DCS tool performs the same analysis statistically.

In ageing tests the number of channels and replicates is decisive for statistical significance; climate-chamber control and safety limits are standard practice.

3 Applicability

Where it applies

  • Ageing diagnosis and mechanism separation; fast impedance screening in production quality control; state-of-health (SOH) indicators for BMS; second-life evaluation.

Limits and caveats

  • In full-cell EIS the anode and cathode contributions cannot be separated; a reference electrode or symmetric cell is needed.
  • dQ/dV requires slow (≤ C/10) and high-resolution data; curves derived from fast cycling data are misleading.

4 What did the application notes find?

  • WP Battery EIS — A comprehensive guide to EIS in batteries: spectrum components, SOC/temperature effect, preference for GEIS, interpretation of low-frequency diffusion, equivalent-circuit examples and common errors.
  • Battery AN23 — Shows systematically how the EIS parameters (amplitude, frequency range, wait time, averaging) affect the results on a Li-ion cell and gives setting recommendations for a clean spectrum.
  • Battery AN40 — Shows the calculation and interpretation of differential (incremental) capacity analysis; matching peaks to electrode phases and linking their change with cycling to the ageing mechanism are illustrated.
  • Battery AN57 — Introduces differential coulometry spectroscopy (DCS); provides an analysis equivalent to dQ/dV on constant-time-interval data that is more resistant to noise.
  • Battery AN61 — Shows that the low-frequency impedance reflects diffusion and capacitive behaviour in intercalation batteries; how the diffusion coefficient and differential capacity can be extracted from this region.
  • Battery AN62 — Explains reading the ohmic resistance from the high-frequency intercept and correcting the inductive contribution; shows that tracking this value with ageing is one of the simplest SOH indicators.
  • Battery AN60 — Shows the separation of the entangled processes in a battery spectrum with DRT and the determination of the number of time constants needed for the equivalent circuit.

5 Which instruments perform this measurement?

References

  1. article N. Meddings et al.. Application of electrochemical impedance spectroscopy to commercial Li-ion cells: A review. J. Power Sources 480, 228742, 2020. doi:10.1016/j.jpowsour.2020.228742 open access
  2. article M. Dubarry, C. Truchot, B. Y. Liaw. Synthesize battery degradation modes via a diagnostic and prognostic model. J. Power Sources 219, 204–216, 2012. doi:10.1016/j.jpowsour.2012.07.016
  3. article S. Wang, J. Zhang, O. Gharbi, V. Vivier, M. Gao, M. E. Orazem. Electrochemical impedance spectroscopy. Nature Reviews Methods Primers 1, 41, 2021. doi:10.1038/s43586-021-00039-w

Solid-state batteries, module/pack measurement and flow batteries

Frequently searched:solid-state battery conductivity measurementbattery pack testingredox flow battery testing

1 Theory

Solid electrolytes and interfaces

Solid-state batteries use a ceramic (garnet LLZO, NASICON, sulfides) or polymer electrolyte instead of a liquid one. The total resistance is the sum of bulk and grain-boundary conductivity and the electrode/electrolyte interface resistance; EIS separates these components by frequency (bulk MHz, grain boundary kHz, interface of the order of Hz). Ionic conductivity shows Arrhenius behaviour; a temperature sweep gives the activation energy. Dendrite formation, contact loss and chemical instability are the main problems; measurements with blocking (Au/Pt) and reversible (Li) electrodes separate the ionic and electronic contributions.

Module and pack measurement

In a module of series-connected cells the total voltage reaches tens to hundreds of volts; the voltage of every cell must be monitored separately because the weakest cell limits the module. Multichannel simultaneous EIS measures the impedance of each cell separately while the current passes through the whole stack and identifies the faulty/unbalanced cell directly. At high voltage, isolation, floating measurement and safety (contactor, fuse, temperature cut-off) are part of the experiment design.

Flow batteries

In redox flow batteries (e.g. vanadium, VRFB) energy is stored in the electrolyte tanks and power in the cell stack; the two scale independently. Characterisation is done by constant-current charge/discharge (CE, VE, EE efficiencies), polarisation curve (area-specific resistance, ASR) and EIS (membrane, electrode kinetics, mass transport); electrolyte flow rate and SOC must be stated for every measurement.

2 Application in measurement

In solid electrolytes the ionic conductivity is measured by temperature-dependent EIS (Arrhenius); it requires through-plane/in-plane geometry, controlled atmosphere and frequencies up to 35 MHz (MTZ-35 + ITS-e/HTF-1100). Interface resistance and dendrite behaviour are studied in the full cell with EIS and critical-current-density tests.

In a module/pack the voltage and impedance of every element must be monitored simultaneously: the VMP-3e + SAM-50 (50 V stack) + FlexP booster combination performs this measurement under load. For high-power cells the BCS-975R provides regenerative cycling.

In vanadium redox flow batteries (VRFB) electrolyte flow and SOC change the impedance; polarisation and EIS are taken together with a test cell.

Key equations

  • Arrhenius: σT = A·exp(−Ea/kT)

3 Applicability

Where it applies

  • Solid-electrolyte conductivity and interface resistance; module/pack imbalance diagnosis; flow-battery cell/stack validation.

Limits and caveats

  • In solid-state cells pressure and temperature determine the results; measurements cannot be compared without controlling these variables.
  • Pack-level EIS does not give as detailed mechanism information as cell-level; it is for diagnosis.

4 What did the application notes find?

  • Energy Storage AN59 — Shows in practice the connection of a battery module/pack to a multichannel instrument, the simultaneous measurement of the voltage and EIS of every cell and the detection of the unbalanced cell.
  • Battery AN16 — Explains the simultaneous impedance measurement of series-connected elements in an operating stack (battery, fuel cell) with a single current excitation; shows that the faulty element is distinguished by its impedance signature.
  • Battery AN71 — Shows the DC (charge/discharge efficiencies, polarisation) and AC (EIS) characterisation of a vanadium flow battery in a 20 cm² laboratory cell; the effect of flow rate and SOC on the spectrum.
  • Material Science AN1 — Shows the measurement of the temperature-dependent impedance of a ceramic solid electrolyte (YSZ) with the high-temperature test set-up, the separation of bulk and grain-boundary contributions and the calculation of the activation energy from the Arrhenius plot.

5 Which instruments perform this measurement?

References

  1. article J. T. S. Irvine, D. C. Sinclair, A. R. West. Electroceramics: Characterization by Impedance Spectroscopy. Adv. Mater. 2, 132–138, 1990. doi:10.1002/adma.19900020304
  2. article N. Nitta, F. Wu, J. T. Lee, G. Yushin. Li-ion battery materials: present and future. Materials Today 18, 252–264, 2015. doi:10.1016/j.mattod.2014.10.040 open access
  3. web Bio-Logic. Instruments for All Solid-State Batteries — leaflet. Bio-Logic, 2023. link

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