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Diagnose · Reference EBH-002 · Technical review:

Internal Resistance Is Not One Resistance

A battery resistance value is meaningful only when its excitation, timing, operating condition and calculation are defined.

Start with the decision ↓

The engineering decision

Use the resistance measurement that represents the load decision, and keep its method, time or frequency, SOC and temperature attached to the value.

Have these inputs ready

  • Application load duration and amplitude
  • Available pulse or impedance data
  • SOC, temperature and rest conditions
  • Measurement bandwidth and sense points

Pulse response and recovery

Scroll horizontally to view the full diagram →

Pulse response and recoveryIllustrative normalized traces, not test data. Fast and slower contributions overlap; timing does not uniquely isolate a physical mechanism. Current step; Voltage drop; Developing polarization; Load removal; RecoveryCurrent · schematicVoltage · schematict0: current stepLoad removedVoltage keeps evolvingRelaxation
Illustrative normalized traces, not test data. Fast and slower contributions overlap; timing does not uniquely isolate a physical mechanism.

The observation window is part of the result

With discharge current defined as positive, use Rapp(t) = [Vbefore − V(t)] / [I(t) − Ibefore]. State the voltage and current sampling points and retain the same sign convention throughout the report. The baseline, current transition and loaded-voltage sample define the measured response.

Values measured after 100 ms and 10 s can both be correct for their procedures while answering different engineering questions.

Different techniques can agree when relevant observation timescales and conditions match. The method name alone does not mean results must differ.

References: A study of the influence of measurement timescale on internal resistance characterisation methodologies for lithium-ion cells

Equivalent-circuit elements are model parameters

Resistors and capacitors can approximate ohmic, interfacial and transport behavior. They are not literal separate parts inside the cell, and a fitted resistor is not automatically equivalent to datasheet DCIR.

The cited nonlinear EIS study analyzes parameter identifiability in a physical single-particle model. Applying that lesson to engineering model selection means checking whether the available data constrain the chosen parameters; a good fit alone does not establish a unique physical interpretation.

References: Nonlinear Electrochemical Impedance Spectroscopy for Lithium-Ion Battery Model Parameterization

Control the operating condition before comparing values

SOC, temperature, rest history and aging move the result. Fixture contact, sampling rate, filtering and current-source rise time can move the measured value as well.

Use four-wire sensing to remove most current-lead drop from the voltage measurement, then state the exact terminal points and timing.

Measurement & validation procedure

Application acceptance checklistScroll horizontally to compare all columns →
Test / reviewRecordAcceptance condition
Define the engineering questionLoad amplitude, duration, SOC and temperature rangeSelected method observes the timescale needed for the decision
Freeze the procedureExcitation, sampling, fixture, rest and calculationAnother laboratory can reproduce the reported value
Correlate to the applicationResistance result and representative loaded-voltage tracePrediction error is known across required conditions

Continue this engineering task

Related engineering guidance

Prepare the evidence for review

  • Load timescale and voltage window
  • Complete measurement procedure
  • Raw synchronized current/voltage data
  • Correlation against the required duty
Continue to engineering review

Technical sources & claim support

References support the stated engineering principles. Worked examples use their explicitly stated assumptions.

  1. A study of the influence of measurement timescale on internal resistance characterisation methodologies for lithium-ion cells ↗

    Scientific Reports 8, 21 (2018); abstract and Figure 7: comparison at matched measurement timescales

    Peer-reviewed cell study. Numerical values apply only to the tested cells, SOC, temperature and equipment.

  2. Comparison of Several Methods for Determining the Internal Resistance of Lithium Ion Cells ↗

    Sections 4–5: DC step, AC resistance, impedance spectroscopy and pulse-duration effects

    Peer-reviewed method comparison. The proposed timing and cell values are not universal acceptance requirements.

  3. Nonlinear Electrochemical Impedance Spectroscopy for Lithium-Ion Battery Model Parameterization ↗

    Structural parameter identifiability and conclusions: nonlinear single-particle model

    Peer-reviewed primary research. Single-particle physical model; extending the identifiability lesson to other model families is an engineering inference.

  4. Keysight: How to Test Coin Cell Batteries ↗

    Coin Cell Battery Testing and Modeling: four-wire sensing, pulse resistance, pulse width/rest time and defined cutoffs

    Measurement principles illustrated with coin cells. Select the current profile, fixture, sampling, temperature and cutoff conditions for the actual cell or pack.

Key claims and evidence
Evidence mappingScroll horizontally to compare all columns →
ClaimBasisReference
Pulse resistance changes with the voltage-sampling intervaldocumentationA study of the influence of measurement timescale on internal resistance characterisation methodologies for lithium-ion cells; Comparison of Several Methods for Determining the Internal Resistance of Lithium Ion Cells
The nonlinear EIS study analyzes structural and practical identifiability in a single-particle modeldocumentationNonlinear Electrochemical Impedance Spectroscopy for Lithium-Ion Battery Model Parameterization
Four-wire connection removes most current-lead drop from the sensed voltagedocumentationKeysight: How to Test Coin Cell Batteries
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