Motorized HVAC Vent Control for Dynamic Cabin Airflow Targeting
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Solution Overview
Problem
Existing HVAC systems in vehicles lack efficient control mechanisms for motorized vents, failing to dynamically adjust airflow based on temperature and occupancy, leading to discomfort and inefficient energy use.
Innovation Solution
A system with motorized vents controlled by a position and motion control system that integrates sensors to detect hot/cold areas, allowing automatic adjustment of airflow direction and temperature based on vehicle cabin conditions, including predictive learning algorithms for anticipatory control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual control of HVAC vents is used, then device complexity is reduced, but adaptability to different temperature conditions and occupancy patterns deteriorates
Solution Approach 1:
The system performs preliminary actions by using sensors to detect hot/cold areas and occupancy patterns before making HVAC adjustments. The control system proactively determines targeted positioning of airflow based on detected conditions, adjusting airflow direction and temperature before occupants experience discomfort.
Solution Approach 2:
The HVAC system serves itself by automatically detecting cabin conditions through sensors and autonomously adjusting vent positions and airflow parameters without requiring manual occupant input. The system monitors and regulates its own operation based on real-time environmental data.
2Adaptability or versatility
If dynamic airflow adjustment based on sensor data is implemented, then adaptability to cabin conditions improves, but device complexity increases
Solution Approach 1:
The system implements feedback by continuously monitoring cabin conditions through sensors and using this information to dynamically adjust airflow direction and temperature. The control system receives data from sensors about hot/cold areas and occupancy, then automatically modifies HVAC vent positions to optimize comfort and energy efficiency.
Solution Approach 2:
The HVAC system transitions from static to dynamic operation by continuously adjusting airflow parameters based on real-time sensor data. The control system dynamically changes vent positions, airflow direction, and temperature settings according to varying cabin conditions, occupancy patterns, and environmental factors.
3Loss of energy
If continuous sensor monitoring and automatic control are used, then energy efficiency improves, but use of energy by the control system increases
Solution Approach 1:
The system applies partial action by selectively adjusting HVAC vents based on detected occupancy and thermal conditions rather than controlling all vents continuously. The control system activates automatic adjustment only in zones where sensors detect hot/cold areas or occupancy, leaving other areas at baseline settings to minimize control system energy consumption.
Data Source
AI summary
A system and method for controlling an HVAC system of a vehicle including at least one motor to move a plurality of air louvers of at least one HVAC vent of the HVAC system, a position and motion control system for controlling the at least one motor, and one or more sensors to detect hot/cold areas and send information on the detected hot/cold areas to the position and motion control system, wherein the position and motion control system receives the data from the one or more sensors to automatically determine a targeted positioning of airflow based on hot/cold areas of a vehicle cabin and dynamically change a temperature and flow of air from the at least one HVAC vent.