Abstract
Vehicle HVAC blower control is typically open-loop, using commanded voltage or PWM duty cycle and assuming a fixed relationship to delivered airflow. In reality, airflow reaching the occupant depends on duct losses, filter loading, blower/compressor efficiency, altitude, air density, and vehicle variation. Since comfort depends on actual vent airflow (i.e., not blower voltage),this method estimates delivered airflow (Q = A·v, m³/s) through physics-based and AI sensor fusion using existing vehicle signals, then closes the control loop on estimated Q rather than commanded voltage.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Virtual Sensing and AI Method for In-Cabin Airflow (Q) Estimation and Closed-Loop HVAC Control", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11474