Vehicle Air Conditioning System with Predictive Sensible Temperature Control
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Solution Overview
Problem
Existing vehicle air conditioning systems fail to maintain occupant comfort when environmental conditions change, as they rely on real-time calculations that do not account for future temperature predictions or individual occupant factors such as clothing and metabolic rate.
Innovation Solution
A vehicle air conditioning system that acquires both interior and exterior environmental information, predicts a future sensible temperature of the occupant using a combination of sensors and data analysis, and adjusts the air conditioner settings based on this prediction and stored comfortable temperature data to maintain comfort levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time calculation of comfort level is used to control air conditioner, then current comfort can be maintained, but future comfort cannot be ensured when environment changes
Solution Approach 1:
The system performs preliminary action by predicting the future sensible temperature of the occupant based on current environmental conditions, occupant information, and historical data. This prediction allows the air conditioner to be adjusted in advance before the actual temperature change occurs, ensuring comfort is maintained without waiting for real-time feedback loops.
Solution Approach 2:
The system implements feedback by continuously monitoring current environmental conditions, comparing predicted future temperatures with comfortable temperature ranges, and adjusting air conditioner operations accordingly. This closed-loop feedback mechanism ensures that comfort is maintained dynamically as conditions change.
2Device complexity
If generic comfort calculation is used, then system complexity is reduced, but individual occupant comfort requirements cannot be met
Solution Approach 1:
The system applies local quality by incorporating individual occupant characteristics such as clothing insulation, metabolic rate, and personal comfort preferences into the control algorithm. Instead of using a single generic comfort model, the system tailors the comfort calculation to each occupant's specific needs and conditions, allowing personalized comfort control.
Solution Approach 2:
The system utilizes parameter changes by dynamically adjusting comfort parameters based on occupant information (clothing, metabolism, activity level) and environmental conditions. These parameter variations allow the system to adapt to different occupants and situations without requiring complete system redesign.
Data Source
AI summary
A vehicle air conditioning system, including: a vehicle interior environmental information acquisition unit that acquires environmental information of a vehicle interior; a vehicle exterior environmental information acquisition unit that acquires environmental information of surroundings of the vehicle; a sensible temperature prediction unit that predicts a sensible temperature of an occupant of the vehicle after a predetermined amount of time has elapsed, based on the environmental information acquired by the vehicle cabin interior environmental information acquisition unit and the vehicle cabin exterior environmental information acquisition unit; and an air conditioner controller that controls an air conditioner based on information regarding a future sensible temperature of the occupant which has been predicted by the sensible temperature prediction unit and a comfortable sensible temperature of the occupant which is stored in a storage unit.