Meaning
Algorithmic correction applied to sensor data to account for the difference in readings during heating and cooling cycles ensures accuracy across variable environments. Thermal hysteresis compensation addresses the memory effect in materials that do not return to the same state when temperature returns to a previous value. This logic is used in high precision pressure sensors and humidity monitors.
It prevents the reported value from being dependent on the previous temperature state of the device.
Measurement Error
Mechanical stresses in the sensor housing or the sensing element itself create a lag in the output signal. Thermal hysteresis compensation uses a history of recent temperature readings to determine the current correction factor. Without this adjustment, a sensor might report two different values for the same physical condition depending on whether it just warmed up or cooled down.
This discrepancy is often several percentage points of the full scale reading.
Software Implementation
Calibration tables stored in the device firmware map the hysteresis curve for the specific sensor type. The thermal hysteresis compensation algorithm interpolates between these points based on the current rate of temperature change. It requires a fast responding thermistor to provide the necessary input for the calculation.
Performance Improvement
High fidelity tracking of environmental conditions is necessary for process control and scientific instrumentation. Thermal hysteresis compensation allows for the use of lower cost sensors in applications that require high repeatability. It extends the useful range of the device by correcting for known physical limitations of the hardware.
Consistent output across rising and falling temperature ramps is the primary goal of this technique.