Jetson Edge AI & Drone Battery Runtime Calculator
Estimate battery operating endurance, current draw, and discharge rate for drones and mobile robotics carrying edge AI computing modules.
How to Use This Calculator
- Enter the battery pack capacity in milliamp-hours (mAh) and nominal pack voltage.
- Specify propulsion or motor power draw alongside onboard edge AI compute consumption.
- Review estimated runtime with safety reserve, battery discharge current, and continuous C-rate.
Frequently Asked Questions
Why does the calculation include an 18% battery reserve?
Lithium batteries experience steep voltage drops near full depletion, and deep discharging shortens cell lifespan. Retaining an 18% to 20% reserve ensures safe operation and protects battery health.
How much does onboard computing impact total flight time?
On most flying platforms, propulsion motors account for 85% to 95% of total power consumption. An edge AI module drawing 15W to 60W typically reduces flight time by only a few minutes compared to motor draw.
What does the battery C-rate indicate?
The C-rate measures discharge speed relative to battery capacity. A 1C rate discharges the pack in one hour. Continuous discharge rates within cell manufacturer ratings prevent overheating and voltage sag.
Planning note: Results are planning estimates. Actual memory consumption, throughput, and power draw depend on inference runtime implementation (e.g. vLLM vs llama.cpp), batch size, and sequence context length. Benchmark your specific workload on physical hardware before purchasing.