Variables
| Symbol |
Quantity |
Unit |
| t |
Battery backup time (runtime) |
hours (h) |
| Ah |
Battery capacity rating (amp-hours) |
Ah |
| I_load |
Load current drawn by the system |
A |
What it means
The backup time of a battery is given by t = Ah / I_load, where Ah is the battery capacity and I_load is the current drawn by the load. This assumes a constant current and 100% efficiency, which is not the case in practice (inefficiencies, Peukert effect, etc.). Example: A 100Ah battery supplying a 5A load will theoretically last 100/5 = 20 hours. In reality, it might be less due to factors like temperature and discharge rate. This calculation helps in estimating how long equipment can run on battery power during outages, and it guides the selection of battery capacity for critical loads.
Worked example
Scenario: A 150 Ah tubular battery powers essential home loads (TV, lights, fans) during a power outage.
| Parameter | Value |
| Capacity | 150 Ah |
| System Voltage | 24 V |
| Load | 480 W |
| Load Current | 20 A |
| Max DOD | 65% |
| Efficiency | 85% |
| Formula | t = (Ah × DOD × Eff) ÷ I |
1Usable Capacity = 150 × 0.65 = 97.5 Ah
2Apply Peukert (n=1.2): Effective = ~80.5 Ah
3Apply Efficiency (85%): Usable = 68.4 Ah
4Runtime = 68.4 ÷ 20 = 3.42 hours
✅Result: ~3.5 hours of backup for essential home loads.
Runtime
3.42 h
≈ 3h 25m · 65% DOD
Scenario: A 200 Ah LiFePO₄ battery bank powers off-grid appliances (fridge, TV, lights, laptop).
| Parameter | Value |
| Capacity | 200 Ah |
| System Voltage | 48 V |
| Load | 1,200 W |
| Load Current | 25 A |
| Max DOD | 90% |
| Efficiency | 96% |
| Formula | t = (Ah × DOD × Eff) ÷ I |
1Usable Capacity = 200 × 0.90 = 180 Ah
2Apply Peukert (n=1.03): Effective = ~196 Ah
3Apply Efficiency (96%): Usable = 188 Ah
4Runtime = 188 ÷ 25 = 7.55 hours
✅Result: Over 7.5 hours of reliable off-grid power.
Runtime
7.55 h
≈ 7h 33m · 90% DOD
Scenario: A 60 Ah starting battery powers camping accessories (lights, phone chargers, DVD) while preserving engine start.
| Parameter | Value |
| Capacity | 60 Ah |
| System Voltage | 12 V |
| Load | 120 W |
| Load Current | 10 A |
| Safe DOD | 50% |
| Efficiency | 75% |
| Formula | t = (Ah × DOD × Eff) ÷ I |
1Safe Capacity = 60 × 0.50 = 30 Ah
2Apply Peukert (n=1.3): Effective = ~44 Ah
3Apply Efficiency (75%): Usable = 33 Ah
4Runtime = 33 ÷ 10 = 3.32 hours
✅Result: ~3.3 hours of use while preserving engine start.
Safe Runtime
3.32 h
50% DOD · Start‑Safe
Scenario: A 75 Ah AGM battery powers critical medical equipment (CPAP, oxygen concentrator, monitor).
| Parameter | Value |
| Capacity | 75 Ah |
| System Voltage | 12 V |
| Load | 200 W |
| Load Current | 16.7 A |
| Max DOD | 55% |
| Efficiency | 88% |
| Formula | t = (Ah × DOD × Eff) ÷ I |
1Usable Capacity = 75 × 0.55 = 41.25 Ah
2Apply Peukert (n=1.15): Effective = ~62.5 Ah
3Apply Efficiency (88%): Usable = 55 Ah
4Runtime = 55 ÷ 16.7 = 3.29 hours
✅Result: ~3.3 hours of critical medical support.
Runtime
3.29 h
≈ 3h 17m · 55% DOD
Scenario: A 100 Ah gel battery powers a weekend cabin with LED lights, a small fridge, and USB chargers.
| Parameter | Value |
| Capacity | 100 Ah |
| System Voltage | 12 V |
| Load | 150 W |
| Load Current | 12.5 A |
| Max DOD | 65% |
| Efficiency | 86% |
| Formula | t = (Ah × DOD × Eff) ÷ I |
1Usable Capacity = 100 × 0.65 = 65 Ah
2Apply Peukert (n=1.18): Effective = ~77.5 Ah
3Apply Efficiency (86%): Usable = 66.7 Ah
4Runtime = 66.7 ÷ 12.5 = 5.34 hours
✅Result: ~5.3 hours of power for a small cabin setup.
Runtime
5.34 h
≈ 5h 20m · 65% DOD
Common mistakes
Watch for unit mismatches (W vs kW, single- vs three-phase) and remember to include power factor or efficiency where the formula requires it.
Applications
Battery backup time t = Ah / I_load estimates how long a battery can supply a given load. This is used to size batteries for UPS, solar storage, and portable devices. Engineers use it to ensure adequate runtime for critical loads. This formula is essential for backup power design.
- UPS and emergency power system design
- Solar battery storage sizing
- Portable device battery life estimation
- Load profiling and runtime planning
- Educational understanding of battery run time