Energy Control Algorithms: Managing the Gap Between Panel and Real Output
Where Energy Comes From and Goes
A set fluence passes four stages before reaching skin: storage control (charge voltage/pump current) → live sampling (voltage/current/temperature feedback) → compensation (drift and aging corrections) → factory calibration (the mapping between panel values and measured output). Miss any stage and the panel-to-skin gap widens with use.
Three Tiers of Algorithms
- Basic: open loop; output drifts with water temperature and capacitor state — the budget-device disease.
- Advanced: temperature compensation and per-shot correction keep energy stable over long sessions.
- Premium: impedance/tissue-feedback adaptation (RF), matching energy to individual tissue state automatically.
How to Judge Algorithm Quality
- First vs last: after 30 minutes continuous, meter the difference (<5% is excellent).
- Step linearity: measure every step low to high — erratic progression means crude calibration.
- Recovery curve: after peak-fluence bursts, how energy sags and recovers — storage and thermal coordination.
LEIJEX ships calibration and stability reports as the acceptance baseline.
FAQ
Can algorithms compensate for weak hardware?
Only within hardware limits: without storage headroom and sensors there is nothing to compensate — check hardware before praising software.
Do firmware updates change output?
They can (recalibration, new compensation curves). Re-verify with an energy meter after any update to confirm the baseline.