Peukert Battery Discharge Calculator

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What Peukert's Law Estimates

Peukert's law estimates how long a battery will run when the discharge current is different from the current used for its published capacity rating. It is most useful for lead-acid batteries, where pulling current faster than the rating current reduces effective capacity because internal resistance, chemical diffusion limits, voltage sag, and heat losses become more important.

A battery labeled 100 Ah at the 20-hour rate is not guaranteed to deliver 100 Ah at every load. The 20-hour rating means the test current is 100 Ah / 20 h = 5 A. At 5 A, the battery should last about 20 hours under rating conditions. At 20 A, it will usually last much less than the simple 100 Ah / 20 A = 5 hour estimate.

Inputs

Formula

The calculator first finds the rated discharge current:

Ir = CrH

It then applies Peukert's law in a form that preserves the battery's published hour rating:

t = H ( IrI ) n

Here, t is runtime in hours, H is the capacity hour rating, Ir is the rated current, I is the actual discharge current, and n is the Peukert exponent. When n = 1, the formula collapses to the simple ideal estimate t = C / I.

Worked Example

Suppose a 100 Ah lead-acid battery is rated at 20 hours and has a Peukert exponent of 1.20. The rated current is 100 Ah / 20 h = 5 A. If the actual load is 20 A:

  1. Rated current: 5 A.
  2. Current ratio: 5 A / 20 A = 0.25.
  3. Runtime: 20 h × 0.251.20 ≈ 3.79 h.
  4. Effective delivered capacity: 20 A × 3.79 h ≈ 75.8 Ah.

The ideal linear estimate would be 5 hours, so Peukert's law shows why high current can remove a large share of usable capacity.

Current Sensitivity

Load current Runtime at n = 1.20 Effective capacity Interpretation
5 A 20.00 h 100 Ah Matches the 20-hour rating point.
10 A 8.71 h 87 Ah Higher current starts reducing usable capacity.
20 A 3.79 h 76 Ah Runtime is well below the linear 5-hour estimate.
40 A 1.65 h 66 Ah Heavy discharge makes the Peukert penalty large.

Limitations

Peukert's law is an empirical model, not a full electrochemical simulation. It is best for lead-acid batteries over moderate conditions. Lithium-ion packs usually have lower Peukert effects and are often better modeled from watt-hours, voltage limits, BMS cutoff behavior, temperature, and converter efficiency. For safety-critical systems, use manufacturer curves and field testing.

Enter battery details to compute runtime.

Load Surge Sprint

Steer your inverter output to match shifting demand while protecting runtime from Peukert losses.

Click to Play

Balance demand for 90 seconds. Oversupplying feels safe, but it burns runtime fast.

Best Score: 0

Score0
Charge100%
Draw0.0A
Time90s

Tap or drag to set output current. Higher current drains charge nonlinearly with exponent n.