Heat Pump Defrost Learning Algorithm Based on Coil Delta Temperature

The patent uses the harmful cold ambient temperature and moisture conditions that cause frost accumulation as an opportunity to implement a targeted defrost procedure. By monitoring specific parameters (coil temperature, ambient temperature, humidity) and calculating a defrost index, the system converts the harmful frost buildup into a controlled defrosting process that only activates when necessary, rather than repeatedly reversing the system. This resolves the contradiction by achieving defrosting function while minimizing unnecessary reversals that cause component wear.

The patent changes the operational parameters by introducing a defrost index calculation based on multiple environmental and operational parameters (coil temperature, ambient temperature, humidity, runtime). Instead of using a simple timer or single-parameter threshold, the system dynamically adjusts the defrost activation criteria based on actual conditions. This allows the system to achieve reliable defrosting only when the defrost index exceeds a threshold, reducing unnecessary defrost cycles and extending component life.

The patent implements a feedback mechanism by continuously monitoring coil temperature, ambient temperature, humidity, and system runtime to calculate a defrost index. The system compares this index against a threshold and adjusts defrost activation accordingly. This feedback loop ensures defrosting occurs only when actually needed based on real-time conditions, preventing unnecessary reversals that waste energy and reduce system efficiency while maintaining reliable defrosting function when required.

The patent makes the defrost activation criteria dynamic by using a calculated defrost index that adapts to changing environmental and operational conditions. Instead of a fixed timer-based approach, the system dynamically adjusts when defrost should occur based on actual coil temperature, ambient conditions, and humidity levels. This dynamic approach optimizes energy efficiency by avoiding unnecessary defrost cycles while ensuring defrosting occurs when actually needed.

The patent applies preliminary action by monitoring and calculating the defrost index in advance based on accumulating environmental and operational data. The system proactively identifies when defrost conditions are approaching by tracking coil temperature trends, ambient conditions, and runtime, allowing it to initiate defrost at the optimal moment before frost severely impacts performance. This prevents both premature defrost (causing wear) and delayed defrost (requiring backup heat).

The patent replaces the mechanical/timer-based defrost scheduling system with an intelligent calculation system that uses sensor data and algorithms to determine defrost timing. Instead of relying on fixed time intervals or simple temperature thresholds, the system substitutes a sophisticated defrost index calculation that considers multiple parameters simultaneously. This substitution enables optimal timing that balances heating supply continuity with system durability.