Physics / Cell EMF & Internal Resistance
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EXPERIMENT 47 · PHYSICS LABORATORY

Cell EMF & Internal Resistance lab report

A worked cell emf & internal resistance lab report with simulated observation tables, graph, calculations, uncertainty and results.

WORKED EXAMPLE · SIMULATED OBSERVATIONS

A complete example report.

Simulated demonstration data.

This report shows the method and arithmetic. It is not evidence of a physical experiment. Replace its observations with your own measurements when preparing a real lab report.

Student: __________________Student ID: __________________Course: __________________Date: __________________Partner: __________________Instructor: __________________

1. Title and aim

Internal Resistance and Electromotive Force of a Cell: Terminal Voltage and Load Characteristics. To determine the electromotive force (EMF) and internal resistance of an electrochemical primary cell by measuring terminal potential difference as a function of load current, evaluate the short-circuit current and maximum power transfer, and investigate instrument loading effects.

2. Abstract

Five observations were generated from the ideal teaching model over the settings listed below. A straight-line fit gave an estimate of internal resistance of 2.500 Ω, differing by 0.000% from the model value. The reported scatter comes from scale rounding and any stated model approximation, not measured laboratory noise.

3. Apparatus and fixed settings

4. Theory and graph choice

The electromotive force (ℰ) of an electrical source is the total energy converted per unit charge in driving electricity around a closed circuit. Because physical charge carriers must traverse internal electrolytic solutions, active paste masses, and electrode barriers, every practical source possesses an inherent internal resistance (r). Consequently, when current (I) is drawn by an external load, an internal ohmic potential drop (I · r) is consumed inside the source itself, causing the terminal potential difference (V) to fall below ℰ according to V = ℰ − I · r. By measuring terminal voltage across a series of calibrated load currents and applying linear regression, students determine both the internal resistance r from the negative slope and the open-circuit EMF ℰ from the vertical intercept, verifying the fundamental governing relations of electric currents.

V = −r · I + ℰ; r = −m, ℰ = b

The calculation fits y = mx + b in SI units. The graph may display scaled axes for readability; those display factors are removed before calculating the physical result. The gradient has units Ω (V A⁻¹).

5. Method

  1. Inspect the open-circuit cell using the high-impedance digital voltmeter with the main knife switch open; record the quiescent open-circuit terminal voltage to verify baseline electromotive force ℰ₀ = 1.500 V prior to drawing discharge current.
  2. Connect the circuit in series: primary cell positive terminal to ammeter input, ammeter output to the decade resistance box, and resistance box back to the cell negative terminal through the knife switch. Connect the high-impedance voltmeter directly across the cell battery posts (Kelvin voltage sensing configuration) to exclude lead resistance drops.
  3. Set the decade resistance box to its highest load setting (producing minimum initial current I = 50.0 mA). Momentarily close the knife switch for 3 to 5 seconds, read both the ammeter current I and the digital voltmeter terminal potential difference V, and immediately open the switch to prevent chemical exhaustion or polarization buildup.
  4. Allow the cell a 60-second recovery period for ionic diffusion to re-establish chemical equilibrium at the electrode interfaces. Step down the load resistance progressively to draw currents of 100.0 mA, 150.0 mA, 200.0 mA, 250.0 mA, and 300.0 mA, recording the stabilized terminal voltage V at each setting.
  5. Tabulate the paired values of load current I (in amperes) and terminal potential difference V (in volts). Plot terminal voltage V on the vertical axis against current I on the horizontal axis; fit an ordinary least-squares straight line to determine the slope m and the vertical intercept b.
  6. Extract the internal resistance as r = −m and the true electromotive force as ℰ = b. Calculate the extrapolated short-circuit current I_sc = ℰ / r, evaluate the maximum deliverable external power P_max = ℰ² / (4r), and compare the fitted parameters against manufacturer reference specifications.

6. Observations and calculation table

All observations use fixed model settings. Values are rounded only at the instrument reading stage; further calculations use full precision. Repeated physical trials are not claimed.

Table 1. Five simulated measurements; x and y are in SI units.
No.Load current I (mA)Terminal voltage V (V)x (SI)y (SI)Fitted y (SI)Residual (SI)
150.01.3750.050001.375001.375000.00000
2100.01.2500.100001.250001.250000.00000
3150.01.1250.150001.125001.125000.00000
4200.01.0000.200001.000001.000000.00000
5250.00.8750.250000.875000.875000.00000
6300.00.7500.300000.750000.750000.00000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

Discharge current I = 50.0 mA = 0.0500 A; observed terminal potential difference V = 1.375 V; nominal open-circuit EMF ℰ = 1.500 V. Single-point internal resistance estimate r_single = (ℰ − V) / I = (1.500 − 1.375) / 0.0500 = 2.5000 Ω. Linear regression of V against I across all six current levels yields the reported slope S = −r and intercept b = ℰ.

8. Graph, gradient and final calculation

0.690.030.880.101.060.171.250.251.440.33Load current I (A)Terminal voltage V (V)

Dots show the sample observations. The line is the ordinary least-squares fit.

x̄ = 0.17500; ȳ = 1.06250
Σ(x − x̄)² = 0.04375
Σ(x − x̄)(y − ȳ) = -0.10938
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = -2.50000000
b = ȳ − mx̄ = 1.50000000
Slope S = -2.50000 V A⁻¹ (Ω); Internal resistance r = −S = 2.5000 Ω; Vertical intercept b = 1.5000 V; Electromotive force ℰ = b = 1.5000 V; Extrapolated short-circuit current I_sc = ℰ / r = 0.6000 A (600.0 mA); Maximum external load power P_max = ℰ² / (4r) = 225.00 mW

9. Uncertainty and comparison

Percentage difference = |estimate − model value| / |model value| × 100 = 0.0000%. Percentage difference is not experimental uncertainty.

For n = 5 observations, Σresidual² = 0.00000; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 0.00000. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 0.00000.

Propagating only the relevant fit coefficient gives a fit-only standard error of 0.00000 Ω. This is a one-standard-error quantity under the regression assumptions. Deterministic rounded model data do not supply a complete physical uncertainty budget.

Transient concentration polarization and hydrogen bubble overpotential at the cathode during current flow (minimized by restricting discharge duration to 3-second pulses followed by 60-second chemical relaxation intervals), digital voltmeter finite input impedance loading (negligible < 0.01% with 10 MΩ instrument vs > 0.5% with 20 kΩ analog meters), ammeter internal shunt burden resistance (R_A ≈ 0.050 Ω adding directly into the series loop), knife-switch contact resistance fluctuations (±5 mΩ), connecting lead resistance (eliminated by connecting voltmeter sensing leads directly to cell terminal lugs via Kelvin 4-wire geometry), and electrolyte temperature drift (+0.03 Ω/°C negative temperature coefficient of resistance) govern the uncertainty envelope. Ordinary least-squares regression of terminal voltage V against discharge current I averages out meter digit quantization and contact variations, with the slope isolating the true internal resistance r and the vertical intercept isolating the open-circuit electromotive force ℰ.

10. Result and discussion

r = 2.500 Ω = 2.500 Ω
Model comparison value: 2.500 Ω

The observations follow the stated model relationship. Check whether the intercept and residual pattern suggest a systematic offset or a missing approximation. Agreement with the model does not independently verify its input constants.

11. Precautions and limitations

Model calculations assume constant ambient temperature (20.0 °C), negligible battery heating, and ideal linear Butler-Volmer kinetics without irreversible chemical degradation or deep discharge hysteresis. Real secondary and primary cells exhibit transient polarization relaxation times (τ ~ 5 to 30 s), non-linear Butler-Volmer overpotentials at very high discharge rates, and finite internal thermal capacitance.

12. Conclusion

The worked example illustrates how to obtain internal resistance from measurements, graph variables and a fitted coefficient. The estimate is 2.500 Ω. A real experiment must additionally evaluate the apparatus-specific uncertainties and corrections described above.