Power Electronics
Model class: Standard approximation
Battery runtime estimator
Estimate battery runtime from capacity, voltage, reserve fraction, conversion efficiency, and a constant load.
Interactive engine
Start with the stated conditions.
Values stay in this browser. Choose a representative scenario, then calculate deliberately.
Example ready
Calculate to inspect the result.
The result will identify the direct answer, assumptions, and any warning that changes the next decision.
How much does each input matter?
Each row holds every other input fixed at its current value and moves one input by ±10%, using the same model as the main result. It identifies which input is the binding lever, not a full tolerance stack.
Assumptions to check
- The entered battery-runtime values represent the stated operating condition.
- This standard approximation is evaluated in the declared lumped or first-pass model.
- A battery-runtime calculation is not a component qualification or safety approval.
What this battery-runtime calculation establishes
Estimate battery runtime from capacity, voltage, reserve fraction, conversion efficiency, and a constant load. The useful result is the stated electrical quantity and the decision it supports, not an unstated claim about a finished product. This engine keeps the governing relationship visible so an input, unit, condition, or model boundary can be reviewed before a value becomes a component or layout choice.
Nominal energy is capacity times voltage; usable energy removes the reserve fraction, and runtime divides usable energy times conversion efficiency by the constant load power. Treat the number as a first-pass result for the declared operating point. When a source, load, temperature, frequency, waveform, component tolerance, or measurement condition changes, repeat the calculation at the relevant corner rather than assuming the nominal answer persists.
Worked decision context
A 3.7 V, 2 Ah battery has 7.4 Wh nominal; with 90% conversion and 20% reserve, a 1 W load has 5.328 h estimated runtime before other derating. That example verifies the equation and illustrates the scale of the result, but it does not select a part by itself. Compare the result with available values, ratings, tolerance bands, and the receiving circuit or physical environment before implementation.
Use the primary output to identify the binding constraint. If it leaves little margin, document which input dominates and use selected-part data, a higher-fidelity model, simulation, or measurement. This is especially important when a small numerical difference changes a thermal, timing, noise, or reliability decision.
Limits and validation handoff
This uses one constant load and one lumped efficiency and reserve fraction. Rate, temperature, and age all reduce usable capacity further; treat the result as a range. The calculation does not silently include omitted parasitics, installation conditions, manufacturing variation, or product policy. Those conditions can be decisive even when the arithmetic is exact for the selected model.
Record inputs, units, model assumptions, and the intended decision with the result. Verify the leading risk against the selected component data sheet and a representative measurement when the circuit has consequential energy, high voltage, safety, compliance, or reliability requirements.
Common mistakes
- Treating the battery-runtime result as a guaranteed operating limit rather than a first-pass standard approximation estimate.
- Mixing a data-sheet value measured under one condition with this battery-runtime calculation performed at another.
- Selecting a component before checking the boundary this calculation names: this uses one constant load and one lumped efficiency and reserve fraction. Rate, temperature, and age all reduce usable capacity further; treat the result as a range.
Model limit and handoff
Keep the entered battery-runtime conditions with the calculation, then validate the binding limit using the selected component, physical implementation, and representative operating corner.
FAQs
Is this battery-runtime result sufficient to approve a design?
No. It applies standard approximation reasoning to the entered battery-runtime values and names the checks that still need selected-part data, a higher-fidelity model, or measurement. This uses one constant load and one lumped efficiency and reserve fraction. Rate, temperature, and age all reduce usable capacity further; treat the result as a range.
What does this battery-runtime calculator assume that could make the result wrong?
Nominal energy is capacity times voltage; usable energy removes the reserve fraction, and runtime divides usable energy times conversion efficiency by the constant load power. If the entered values do not match the real operating condition, the result no longer describes the actual circuit.
Where should this battery-runtime result go next?
Compare this battery-runtime result with Battery and stored-energy estimate limits, then use the stated next decision below the calculator to move from this first-pass number toward an implementation.