
Battery run time is one of the most important considerations in battery-powered product design. Whether you are developing a medical device, IoT sensor, wearable product, or portable electronic system, knowing how long a battery will last under real operating conditions is critical.
This guide explains how to calculate battery run time using standard formulas, practical examples, and real-world factors that significantly affect actual battery performance.
Battery run time refers to the length of time a battery can continuously supply power to a device before its voltage drops below the usable operating range.
In simple terms, battery run time answers the question: “How long will my device operate on this battery?”
Battery run time depends on more than just battery capacity. Load current, discharge rate, efficiency losses, temperature, and battery aging all play a role.

The most commonly used calculation formula is:
Battery capacity is measured in ampere-hours (Ah) or milliampere-hours (mAh)
Load current is the average current drawn by the device
This formula provides a theoretical value. Real-world results are usually lower.
Battery capacity indicates how much electrical charge a battery can store.
1 Ah = 1000 mAh
A 3000mAh battery can theoretically supply:
3000mA for 1 hour
1500mA for 2 hours
300mA for 10 hours
However, battery capacity ratings are typically measured under controlled laboratory conditions and may not reflect actual operating environments.
Load current is the amount of current your device consumes during operation.
For accurate battery run time calculation, always use average operating current.

Battery: 3.7V 2000mAh lithium-ion battery
Average current: 400mA
2Ah ÷ 0.4A = 5 hours (theoretical)
After efficiency loss (~80%): ≈4 hours
Battery: 3.7V 5000mAh Li-ion battery
Average current: 100mA
5Ah ÷ 0.1A = 50 hours
Battery: Custom 3000mAh LiPo battery
Average current: 600mA
3Ah ÷ 0.6A = 5 hours
Practical design assumption: 4–4.5 hours
The basic formula does not consider several important real-world factors.

Battery capacity is not fully usable due to internal resistance and voltage drop.
Typical efficiency:
Lithium-ion: 80–90%
Lithium polymer: 75–90%
Higher discharge rates reduce effective capacity.
Example:
A battery rated at 2000mAh at 0.2C
May deliver only 1600–1800mAh at 1C
Many devices stop operating before the battery is fully discharged to protect electronics or the battery itself.
Low temperatures reduce available capacity
High temperatures accelerate degradation
As batteries age:
Internal resistance increases
Available capacity decreases
A battery may lose 20–30% capacity after hundreds of charge cycles.
Both lithium-ion and lithium polymer batteries follow the same calculation principles, but performance characteristics differ.
| Factor | Li-ion | LiPo |
|---|---|---|
| Energy Density | High | High |
| Form Factor | Fixed | Flexible |
| Typical Use | Consumer electronics | Medical & wearable devices |
Run time differences mainly depend on cell quality and discharge conditions, not chemistry alone.
To get closer to real performance:
Measure average operating current
Apply efficiency factor (0.75–0.85)
Consider peak current and voltage drop
Account for temperature and aging

When selecting a battery, engineers should consider:
Required operating time
Peak and average current
Physical size constraints
Safety standards
Charging method
For applications such as medical devices, IoT equipment, and wearable electronics, battery run time should be calculated during the design stage, not after product development.
At 500mA load, theoretical run time is 6 hours. Practical run time is usually 4.5–5 hours.
No. Run time depends on capacity and current, not voltage alone.
High discharge rate, efficiency loss, temperature, and battery aging are common causes.
Battery run time calculation is a fundamental step in battery-powered product design. While simple formulas provide a starting point, real-world performance depends on many interacting factors.
For critical applications, accurate load measurement and proper safety margins are essential to ensure reliable operation.